Records with Subject: Energy Management
Showing records 1 to 25 of 269. [First] Page: 1 2 3 4 5 Last
Energy Management in Smart Building by a Multi-Objective Optimization Model and Pascoletti-Serafini Scalarization Approach
Zahra Foroozandeh, Sérgio Ramos, João Soares, Zita Vale
October 30, 2022 (v1)
Keywords: energy management, mixed binary linear programming, multi-objective optimization problem, Pareto front, Pascoletti-Serafini approach, smart building
Generally, energy management in smart buildings is formulated by mixed-integer linear programming, with different optimization goals. The most targeted goals are the minimization of the electricity consumption cost, the electricity consumption value from external power grid, and peak load smoothing. All of these objectives are desirable in a smart building, however, in most of the related works, just one of these mentioned goals is considered and investigated. In this work, authors aim to consider two goals via a multi-objective framework. In this regard, a multi-objective mixed-binary linear programming is presented to minimize the total energy consumption cost and peak load in collective residential buildings, considering the scheduling of the charging/discharging process for electric vehicles and battery energy storage system. Then, the Pascoletti-Serafini scalarization approach is used to obtain the Pareto front solutions of the presented multi-objective model. In the final, the pe... [more]
Combined Approach to Analysis and Regulation of Thermodynamic Processes in the Energy Technology Complex
Anatoliy Alabugin, Sergei Aliukov, Konstantin Osintsev
October 12, 2022 (v1)
Keywords: analog-to-digital methods of signal transmission, approximation methods, approximation of functions of abrupt development, combination of methods, data science tool, energy technology complexes (ETCs)
The purpose of this work is to increase the theoretical and methodological approaches to value and regulate the dynamics of management processes. Application of these dynamics is implemented via methods of improving the quality of management of complex energy technology systems in the organization of recycling processes. As a result of the research, a technological model of a rotary kiln with a division into separate sections corresponding to the combustion zones for the production of cement clinker in recycling technology was developed. Mathematical modeling, analytical calculations of thermodynamic and gas-dynamic processes in the drums of rotating furnaces, and experimental studies were carried out. As a scientific novelty, an approximation of piecewise linear functions is obtained for modeling the processes of improving the quality of control by the criterion of reducing the error of data transmission for monitoring and regulating the thermodynamic parameters of the furnace via ana... [more]
Multi-Objective Coordinated Optimal Allocation of DG and EVCSs Based on the V2G Mode
Lijun Liu, Feng Xie, Zonglong Huang, Mengqi Wang
September 16, 2021 (v1)
Keywords: cluster dispatching, distributed power supply, EV charging station, peak and valley electricity prices, V2G mode
With the vigorous promotion of new energy sources and the development of vehicle-to-grid (V2G) technology, the influence of the V2G mode should be considered in the joint optimal allocation of Distributed Generation (DG) and electric vehicle charging stations (EVCSs). The timing characteristics of the intermittent output of DG, conventional demand for load, and charging load of the electric vehicle (EV) are considered, as is its participation in grid interaction to examine the construction of typical scenarios and the EV cluster dispatching strategy. From the perspective of comprehensively planning the coordination of the distribution network, a DG-EVCSs bi-level joint planning model is established under the peak and valley price mechanism, with the sub-objectives of obtaining a comprehensive profit and high quality of voltage, curbing system load fluctuations, and satisfactorily charging the EV. An improved harmony particle swarm optimization algorithm is proposed to solve the bi-leve... [more]
Relationships between the Number and Power of Hungarian Household-Sized Photovoltaic Power Plants and Selected Indicators of the Settlements: A Case Study
Nóra Hegedűsné Baranyai, Henrik Zsiborács, András Vincze, Nóra Rodek, Martina Makai, Gábor Pintér
August 2, 2021 (v1)
Keywords: economic, Hungary, infrastructural settlement indicators, photovoltaic system, small-scale power plant, solar energy
In the global transformation of energy systems, solar energy plays a prominent role, since the energy from our star is a limitless and clean resource, which is available practically almost everywhere. In spite of the immense advancements of photovoltaic systems, which utilize this source of energy, no in-depth research has been carried out regarding the present Hungarian status of the small-scale photovoltaic power plants, the most common type of solar power plant in Hungary. The novelty of this study is that it examines the number and power of these small-scale power plants at the settlement level within the service areas of the various distribution companies, by also considering the economic and infrastructural dimensions of the settlements. The paper seeks answers to the questions whether there are any significant relationships between the number and the power of power plants of this type and the indicators of the settlements, and if so, how strong they are. Besides pairwise correla... [more]
Optimal Sizing of an Island Hybrid Microgrid Based on Improved Multi-Objective Grey Wolf Optimizer
Wenqiang Zhu, Jiang Guo, Guo Zhao, Bing Zeng
June 29, 2021 (v1)
Keywords: energy management, grey wolf optimizer, hybrid energy system, island microgrid, sizing optimization, tidal current energy
The hybrid renewable energy system is a promising and significant technology for clean and sustainable island power supply. Among the abundant ocean energy sources, tidal current energy appears to be very valuable due to its excellent predictability and stability, particularly compared with the intermittent wind and solar energy. In this paper, an island hybrid energy microgrid composed of photovoltaic, wind, tidal current, battery and diesel is constructed according to the actual energy sources. A sizing optimization method based on improved multi-objective grey wolf optimizer (IMOGWO) is presented to optimize the hybrid energy system. The proposed method is applied to determine the optimal system size, which is a multi-objective problem including the minimization of annualized cost of system (CACS) and deficiency of power supply probability (DPSP). MATLAB software is utilized to program and simulate the hybrid energy system. Optimization results confirm that IMOGWO is feasible to opt... [more]
Application of a Modeling Tool to Describe Fly Ash Generation, Composition, and Melting Behavior in a Wheat Straw Fired Commercial Power Plant
Ibai Funcia, Fernando Bimbela, Javier Gil, Luis M. Gandía
June 10, 2021 (v1)
Keywords: biomass combustion, boiler, fly ash, thermochemical modeling, vibrating grate
Ash behavior is a key operational aspect of industrial-scale power generation by means of biomass combustion. In this work, FactSageTM 6.4 software was used to develop and assess three models of wheat straw combustion in a vibrating grate-fired commercial boiler of 16 MWth, aiming to describe the inorganic elements release as well as fly ash melting behavior and composition. Simulations were carried out solving four consecutive calculation stages corresponding to the main plant sections. Chemical fractionation was adopted in order to distinguish between reactive, inert and partially reactive biomass fractions. The developed models allow take into account different levels of partial reactivity, values of the temperature for each sub-stage on the grate, and ways to apply entrained streams based on data from the elemental analyses of the fly ashes. To this end, two one-week experimental campaigns were conducted in the plant to carry out the sampling. It has been found that considering che... [more]
How to Power the Energy−Water Nexus: Coupling Desalination and Hydrogen Energy Storage in Mini-Grids with Reversible Solid Oxide Cells
Arianna Baldinelli, Linda Barelli, Gianni Bidini, Giovanni Cinti, Alessandro Di Michele, Francesco Mondi
June 2, 2021 (v1)
Keywords: desalination, electrolysis, Energy Storage, Hydrogen, mini-grids, power-to-gas, renewables, rSOC, sector-coupling, Water
Sustainable Development Goals establish the main challenges humankind is called to tackle to assure equal comfort of living worldwide. Among these, the access to affordable renewable energy and clean water are overriding, especially in the context of developing economies. Reversible Solid Oxide Cells (rSOC) are a pivotal technology for their sector-coupling potential. This paper aims at studying the implementation of such a technology in new concept PV-hybrid energy storage mini-grids with close access to seawater. In such assets, rSOCs have a double useful effect: charge/discharge of the bulk energy storage combined with seawater desalination. Based on the outcomes of an experimental proof-of-concept on a single cell operated with salty water, the operation of the novel mini-grid is simulated throughout a solar year. Simulation results identify the fittest mini-grid configuration in order to achieve energy and environmental optimization, hence scoring a renewable penetration of more t... [more]
Techno-Economic Analysis of a Kilo-Watt Scale Hydrogen-Bromine Flow Battery System for Sustainable Energy Storage
Yohanes Antonius Hugo, Wiebrand Kout, Guido Dalessi, Antoni Forner-Cuenca, Zandrie Borneman, Kitty Nijmeijer
June 2, 2021 (v1)
Keywords: hydrogen bromine flow battery (HBFB), levelized cost of storage, market barriers, stack lifetime, Technoeconomic Analysis
Transitioning to a renewable energy economy requires the widespread integration of solar and wind power, which are intermittent, into the electricity grid. To this goal, it is paramount to develop cost-competitive, reliable, location-independence, and large-scale energy storage technologies. The hydrogen bromine flow battery (HBFB) is a promising technology given the abundant material availability and its high power density. Here, the aim is to perform a comprehensive techno-economic analysis of a 500 kW nominal power/5 MWh HBFB storage system, based on the levelized cost of storage approach. Then, we systematically analyze stack and system components costs for both the current base and a future scenario (2030). We find that, for the base case, HBFB capital investments are competitive to Li-ion battery technology, highlighting the potential of large-scale HBFB market introduction. Improving the stack performance and reducing the stack and system costs are expected to result in ~62% red... [more]
Sustainable Rural Electrification Through Solar PV DC Microgrids—An Architecture-Based Assessment
Mashood Nasir, Saqib Iqbal, Hassan A. Khan, Juan C. Vasquez, Josep M. Guerrero
May 25, 2021 (v1)
Keywords: DC microgrids, DC power systems, loss analysis, Newton–Raphson, rural electrification, system sizing
Solar photovoltaic (PV) direct current (DC) microgrids have gained significant popularity during the last decade for low cost and sustainable rural electrification. Various system architectures have been practically deployed, however, their assessment concerning system sizing, losses, and operational efficiency is not readily available in the literature. Therefore, in this research work, a mathematical framework for the comparative analysis of various architectures of solar photovoltaic-based DC microgrids for rural applications is presented. The compared architectures mainly include (a) central generation and central storage architecture, (b) central generation and distributed storage architecture, (c) distributed generation and central storage architecture, and (d) distributed generation and distributed storage architecture. Each architecture is evaluated for losses, including distribution losses and power electronic conversion losses, for typical power delivery from source end to th... [more]
Experimental Determination of the Energetic Performance of a Racing Motorcycle Battery-Pack
Pablo Esparza, Sandra Castano-Solis, David Jiménez-Bermejo, Jesús Fraile Ardanuy, Manuel Merino
May 24, 2021 (v1)
Keywords: battery-pack sizing, electric motorcycle prototype, energetic performance, experimental results, performance tests
This paper presents the evaluation of the energetic performance of the battery-pack from the motorcycle prototype EME 16E. This racing prototype was developed by a student team from the Universidad Politécnica de Madrid (UPM) to participate in the MotoStudent competition during 2015−2016. This study includes the sizing and assembly of the motorcycle’s battery-pack under strict regulations and a limited budget. The prototype was also tested under different performance conditions, such as laboratory tests and racing circuits. Experimental results show that the proposed battery-pack is capable of supplying the energy and power necessary to drive the motorcycle in all cases analyzed.
Non-Intrusive Monitoring Algorithm for Resident Loads with Similar Electrical Characteristic
Sheng Wu, Kwok L. Lo
May 24, 2021 (v1)
Keywords: load identification, modification of monitoring result, non-intrusive load monitoring, signal decomposition
Non-intrusive load monitoring is a vital part of an overall load management scheme. One major disadvantage of existing non-intrusive load monitoring methods is the difficulty to accurately identify loads with similar electrical characteristics. To overcome the various switching probability of loads with similar characteristics in a specific time period, a new non-intrusive load monitoring method is proposed in this paper which will modify monitoring results based on load switching probability distribution curve. Firstly, according to the addition theorem of load working currents, the complex current is decomposed into the independently working current of each load. Secondly, based on the load working current, the initial identification of load is achieved with current frequency domain components, and then the load switching times in each hour is counted due to the initial identified results. Thirdly, a back propagation (BP) neural network is trained by the counted results, the switchin... [more]
Optimal Sizing and Techno-Economic Analysis of Hybrid Renewable Energy Systems—A Case Study of a Photovoltaic/Wind/Battery/Diesel System in Fanisau, Northern Nigeria
Nasser Yimen, Theodore Tchotang, Abraham Kanmogne, Idriss Abdelkhalikh Idriss, Bashir Musa, Aliyu Aliyu, Eric C. Okonkwo, Sani Isah Abba, Daniel Tata, Lucien Meva’a, Oumarou Hamandjoda, Mustafa Dagbasi
May 17, 2021 (v1)
Keywords: break-even grid extension distance, Genetic Algorithm, greenhouse gas emissions analysis, hybrid renewable energy systems, Modelling, net present value, Nigeria, replacement project, rural electrification, simple payback period, simulation and optimization, sub-Saharan Africa, Technoeconomic Analysis
Hybrid Renewable Energy Systems (HRESs) have been touted as an appropriate way for supplying electricity to remote and off-grid areas in developing countries, especially in sub-Saharan Africa (SSA), where rural electrification challenges are the most pronounced. This study proposes a two-step methodology for optimizing and analyzing a stand-alone photovoltaic/wind/battery/diesel hybrid system to meet the electricity needs of Fanisua, an off-grid and remote village of northern Nigeria. In the first step, the MATLAB environment was used to run simulations and optimize the system via the genetic algorithm. Then, techno-economic and emissions analysis was carried out in the second step to compare the proposed system to the existing traditional modes of rural electrification in sub-Saharan Africa, namely, the grid-extension and diesel generator. The break-even distance parameter was adopted in the comparison with grid-extension. Besides, the hypothetical project of replacing the diesel gene... [more]
Comparison of Solar Collector Testing Methods—Theory and Practice
Paweł Obstawski, Tomasz Bakoń, Dariusz Czekalski
May 4, 2021 (v1)
Keywords: construction of solar thermal collector, efficiency characteristics, equivalent thermal network, parametric identification, thermo-electric analogy, time constant
One of the most important problems of operating solar heating systems involves variable efficiency depending on operating conditions. This problem is more pronounced in hybrid energy systems, where a solar installation cooperates with other segments based on conventional carriers of energy or renewable sources of energy. The operating cost of each segment of a hybrid system depends mainly on the resulting efficiency of solar installation. For over 40 years, the procedures of testing solar collectors have been undergoing development, testing, comparison and verification in order to create a procedure that would allow determining the thermal behavior of a solar collector without performing expensive and complicated experimental tests, usually based on the steady state condition. The proper determination of the static and dynamic properties of a solar collector is of key significance, as they constitute a basis for the design of a solar heating installation, as well as a control system. I... [more]
Construction and Automation of a Microcontrolled Solar Tracker
Juliano da Rocha Queiroz, Anacreone da Silva Souza, Maurício Klein Gussoli, Júlio César Dainezi de Oliveira, Cid Marcos Gonçalves Andrade
April 30, 2021 (v1)
Keywords: microcontroller, photovoltaic, Renewable and Sustainable Energy, solar tracker
A solar tracker can be defined as an electromechanical system capable of following the apparent path of the Sun, in order to orient an array of solar panels and/or collectors directly to the solar rays, maximizing the collected energy. Accordingly, the present work describes the process of building and automating a micro-controlled solar tracker. Two mobile structures were built, one equipped with high-precision step motors and four luminosity sensors separated in quadrants by a cross structure, and the other equipped with DC motors and the 275 Wp solar panel, allowing the design and evaluation of the behavior of each structure separately. The control and automation system is centralized in an Arduino MEGA2560 microcontroller, which runs the tracking and positioning algorithms. The built prototype allows us to carry out studies of solar tracking strategies based on sensor and control systems applied to DC motors.
Long-Term Performance of Anti-Freeze Protection System of a Solar Thermal System
Sebastian Pater
April 29, 2021 (v1)
Keywords: anti-freeze protection, evacuated tube collector, heat pipe, solar collector, solar fluid
In a moderate, transitory climate, to prevent freezing of outdoor pipes and collectors in solar thermal systems, anti-freezing fluids are commonly used. There is little experience of using water without any additives as a solar thermal fluid in such a climate. Based on these findings, to fill the knowledge gap this article presents the long-term results of thermal performance and anti-freeze protection of a solar heating system with heat pipe evacuated tube collectors with water as a solar thermal fluid. The operation of this system under real conditions was analysed for five years in southern Poland. The annual value of solar insolation ranged from 839 to almost 1000 kWh/m2. The monthly efficiency of the solar collectors from March to October was usually higher than 25%, and the lowest was between November and January. The anti-freeze protection system consumed annually from 7 to 13% of the heat generated by the collectors in the installation. Supporting the operation of the central h... [more]
The Impacts of Tracking System Inaccuracy on CPV Module Power
Henrik Zsiborács, Nóra Hegedűsné Baranyai, András Vincze, Philipp Weihs, Stefan F. Schreier, Christian Gützer, Michael Revesz, Gábor Pintér
April 29, 2021 (v1)
Keywords: azimuth angle, concentrator photovoltaic module, solar energy, sun-tracking, sun-tracking sensor, tilt angle
The accuracy and reliability of solar tracking greatly impacts the performance of concentrator photovoltaic modules (CPV). Thus, it is of utmost significance to know how deviations in tracking influence CPV module power. In this work, the positioning characteristics of CPV modules compared to the focus points were investigated. The performance of CPV modules mounted on a dual-axis tracking system was analysed as a function of their orientation and inclination. The actual experiment was carried out with CPV cells of 3 mm in diameter. By using a dual tracking system under real weather conditions, the module’s position was gradually modified until the inclination differed by 5° relative to the optimal position of the focus point of the CPV module. The difference in inclination was established by the perfect perpendicularity to the Sun’s rays. The results obtained specifically for CPV technology help determine the level of accuracy that solar tracking photovoltaic systems are required to h... [more]
Opportunities and Barriers of Hydrogen−Electric Hybrid Powertrain Vans: A Systematic Literature Review
Oscar Castillo, Roberto Álvarez, Rosario Domingo
April 27, 2021 (v1)
Keywords: delivery van, fuel cell, Hydrogen, last-mile delivery, light commercial vehicles, medium-duty vehicles, range extender, sustainable city logistics, urban freight transport, urban logistics
The environmental impact of the road transport sector, together with urban freight transport growth, has a notable repercussions in global warming, health and economy. The need to reduce emissions caused by fossil fuel dependence and to foster the use of renewable energy sources has driven the development of zero-emissions powertrains. These clean transportation technologies are not only necessary to move people but to transport the increasing demand for goods and services that is currently taking place in the larger cities. Full electric battery-powered vans seem to be the best-placed solution to the problem. However, despite the progress in driving range and recharge options, those and other market barriers remain unsolved and the current market share of battery electric vehicles (BEVs) is not significant. Based on the development of hydrogen fuel cell stacks, this work explains an emerging powertrain architecture concept for N1 class type vans, that combines a battery-electric confi... [more]
Study on the Sustainability Evaluation Method of Logistics Parks Based on Emergy
Cui Wang, Hongjun Liu, Li’e Yu, Hongyan Wang
April 27, 2021 (v1)
Keywords: emergy, logistics parks, Renewable and Sustainable Energy
To improve the sustainable development ability of logistics parks, this study constructs a sustainability evaluation method of logistics parks based on emergy; analyzes the input (energy, land, investment, equipment, information technology, and human resources) and output (income and waste) of logistics parks from the perspective of emergy; studies the characteristics of the emergy flow of logistics parks; and constructs the function, structure, ecological efficiency, and sustainable development indexes of logistics parks. The basic situation, resource efficiency, and environmental friendliness of the logistics parks are comprehensively evaluated from the emergy point of view. On this basis, targeted decision suggestions are provided for the sustainable development of logistics parks. Finally, the feasibility and effectiveness of the method are verified by an example. This study reveals the internal relationship among economic, environmental, and social benefits of logistics parks thro... [more]
Inverter Efficiency Analysis Model Based on Solar Power Estimation Using Solar Radiation
Chul-Young Park, Seok-Hoon Hong, Su-Chang Lim, Beob-Seong Song, Sung-Wook Park, Jun-Ho Huh, Jong-Chan Kim
April 26, 2021 (v1)
Keywords: inverter efficiency, linear model, linear regression, Micro Grid, PV power generation forecasting, PV system, Smart Grid
The photovoltaic (PV) industry is an important part of the renewable energy industry. With the growing use of PV systems, interest in their operation and maintenance (O&M) is increasing. In this regard, analyses of power generation efficiency and inverter efficiency are very important. The first step in efficiency analysis is solar power estimation based on environment sensor data. In this study, solar power was estimated using a univariate linear regression model. The estimated solar power data were cross-validated with the actual solar power data obtained from the inverter. The results provide information on the power generation efficiency of the inverter. The linear estimation model developed in this study was validated using a single PV system. It is possible to apply the coefficients presented in this study to other PV systems, even though the nature and error rates of the collected data may vary depending on the inverter manufacturer. To apply the proposed model to PV systems wit... [more]
Connecting Risk and Resilience for a Power System Using the Portland Hills Fault Case Study
Vishvas H. Chalishazar, Ted K. A. Brekken, Darin Johnson, Kent Yu, James Newell, King Chin, Rob Weik, Emilie Dierickx, Matthew Craven, Maty Sauter, Andrey Olennikov, Jennifer Galaway, Ann Radil
April 16, 2021 (v1)
Keywords: economic risk analysis, monte carlo simulations, peak ground acceleration, power transmission system, seismic resilience
Active seismic faults in the Pacific Northwest area have encouraged electric utilities in the region to deeply contemplate and proactively intervene to support grid resilience. To further this effort this research introduces Monte Carlo (MC)-based power system modeling as a means to inform the Performance Based Earthquake Engineering method and simulates 100,000 sample earthquakes of a 6.8 magnitude (M6.8) Portland Hills Fault (PHF) scenario in the Portland General Electric (PGE) service territory as a proof of concept. This paper also proposes the resilience metric Seismic Load Recovery Factor (SLRF) to quantify the recovery of a downed power system and thus can be used to quantify earthquake economic risk. Using MC results, the SLRF was evaluated to be 19.7 h and the expected economic consequence cost of a M6.8 PHF event was found to be $180 million with an annualized risk of $90,000 given the event’s 1 in 2000 year probability of occurrence. The MC results also identified the eight... [more]
Analysis of a Thermal Energy Storage Tank in a Large District Cooling System: A Case Study
Mohd Amin Abd Majid, Masdi Muhammad, Chima Cyril Hampo, Ainul Bt Akmar
April 16, 2021 (v1)
Keywords: Graphpad Prism, temperature distribution, temperature profile, thermal energy storage, thermocline thickness
This study’s primary goal is to evaluate the performance of a large thermal energy storage tank installed in a Gas District Cooling (GDC) plant. The performance parameters considered in this study include thermocline thickness (WTc), Cumulated Charge (Qcum), and Half Figure of Merit (½ FOM). The operation sensor data of a large Thermal Energy Storage (TES) tank was acquired for this analysis. The recorded temperature sensor from the 1st to 7th January and from 12th to 17th October 2019 was considered in this research. GraphPad prism computer software was deployed for analyses, and the temperature distribution data were analyzed to determine the four temperature parameters (hot water temperature (Th), cool water temperature (Tc), cool water depth (C), and slope gradient (S)) using a non-linear regression curve fitting technique and sigmoid Dose Responses function as integrated with the software. At the end of this research, the relationship between the growth of the determined performan... [more]
Improving the Energy Efficiency of Industrial Refrigeration Systems by Means of Data-Driven Load Management
Josep Cirera, Jesus A. Carino, Daniel Zurita, Juan A. Ortega
March 1, 2021 (v1)
Keywords: Compressors, data-driven, energy disaggregation, Energy Efficiency, load management, multi-layer perceptron, NILM, Optimization, partial load ratio, refrigeration systems
A common denominator in the vast majority of processes in the food industry is refrigeration. Such systems guarantee the quality and the requisites of the final product at the expense of high amounts of energy. In this regard, the new Industry 4.0 framework provides the required data to develop new data-based methodologies to reduce such energy expenditure concern. Focusing in this issue, this paper proposes a data-driven methodology which improves the efficiency of the refrigeration systems acting on the load side. The solution approaches the problem with a novel load management methodology that considers the estimation of the individual load consumption and the necessary robustness to be applicable in highly variable industrial environments. Thus, the refrigeration system efficiency can be enhanced while maintaining the product in the desired conditions. The experimental results of the methodology demonstrate the ability to reduce the electrical consumption of the compressors by 17%... [more]
Optimal Energy Management for Microgrids Considering Uncertainties in Renewable Energy Generation and Load Demand
Haotian Wu, Hang Li, Xueping Gu
February 22, 2021 (v1)
Keywords: ant colony optimization, energy management, microgrids, Optimization, pattern search optimization, Renewable and Sustainable Energy, uncertainty, wind power
This paper proposes an efficient power management approach for the 24 h-ahead optimal maneuver of Mega−scale grid−connected microgrids containing a huge penetration of wind power, dispatchable distributed generation (diesel generator), energy storage system and local loads. The proposed energy management optimization objective aims to minimize the microgrid expenditure for fuel, operation and maintenance and main grid power import. It also aims to maximize the microgrid revenue by exporting energy to the upstream utility grid. The optimization model considers the uncertainties of the wind energy and power consumptions in the microgrids, and appropriate forecasting techniques are implemented to handle the uncertainties. The optimization model is formulated for a day-ahead optimization timeline with one-hour time steps, and it is solved using the ant colony optimization (ACO)-based metaheuristic approach. Actual data and parameters obtained from a practical microgrid platform in Atlanta,... [more]
Optimal Non-Convex Combined Heat and Power Economic Dispatch via Improved Artificial Bee Colony Algorithm
Abbas Rabiee, Mohammad Jamadi, Behnam Mohammadi-Ivatloo, Ali Ahmadian
February 22, 2021 (v1)
Keywords: combined heat and power, improved artificial bee colony algorithm, non-convex optimization, valve point effects
It is well accepted that combined heat and power (CHP) generation can increase the efficiency of power and heat generation at the same time. With the increasing penetration of CHPs, determination of economic dispatch of power and heat becomes more complex and challenging. The CHP economic dispatch (CHPED) problem is a challenging optimization problem due to non-linearity and non-convexity in both objective function and constraints. Hence, in this paper a novel meta-heuristic algorithm, namely improved artificial bee colony (IABC) algorithm is proposed to solve the CHPED problem. The valve-point effects, power losses as well as the feasible operation region of CHP units are taken into account in the proposed CHPED problem model and the optimal dispatch of power/heat outputs of CHP units is determined via the proposed IABC algorithm. The proposed algorithm is applied on three test systems, in which two of them are large-scale CHPED benchmarks. The obtained results and comprehensive compa... [more]
Distributed Optimization for Active Distribution Network Considering the Balance of Multi-Stakeholder
Yang Liu, Sanming Liu, Zhuangzhuang Niu
December 22, 2020 (v1)
Keywords: active distribution network, alternating direction method of multipliers, bi-level model, distributed dispatching, multi-stakeholder
Nowadays, distributed power generation is highly valued and fully developed since the energy crisis is worsening. At the same time, the distribution system operator is becoming a new stakeholder to take part in the dispatch of the active distribution network (ADN) with the power market being further reformed. Some new challenges to the dispatching of the ADN are brought by these distribution system operators (DSO), which break the traditional requirement of the lowest operating cost. In this paper, the relationship between the maximum revenue and the minimum operating cost of the ADN is fully considered, and the model of the bi-level distributed ADN considering the benefits and privacy protection of multi-stakeholder is established precisely. Further, the model is solved by using the alternating direction method of multipliers (ADMM) in which the safety and economy of the ADN are fully considered. Finally, the validity of the model and the feasibility of the algorithm are verified by u... [more]
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