LAPSE:2023.32147
Published Article
LAPSE:2023.32147
A Quantitative Risk-Averse Model for Optimal Management of Multi-Source Standalone Microgrid with Demand Response and Pumped Hydro Storage
Yongqi Zhao, Jiajia Chen
April 19, 2023
Abstract
High renewable energy integrated standalone microgrid requires greater ramping capabilities from other dispatchable resources to compensate for effects of the intermittent and variability of the renewable energy available in the system. To address this, a wind-solar-thermal-hydro-coupled multi-source standalone microgrid (WSTHcMSSM) considering demand response and pumped hydro storage is proposed to maximize the operating profit and get the optimal solution of the multi-source generation system by taking advantage of multi-resource complementarity. In WSTHcMSSM, we present a conditional value-at-credibility (CVaC)-based quantitative risk-averse model for uncertain wind and solar power by thoroughly examining the randomness and fuzziness characteristics. Additionally, the most severe issues caused by wind and solar power fluctuation happen during the peak load, and this paper proposes a load partitioning method to get the time-of-use (TOU) in demand response for peak load shaving. A case study is conducted for the validation of the proposed method. It is found from the study case that the CVaC can well evaluate the uncertainty in WSTHcMSSM with wind and solar integration. Additionally, the WSTHcMSSM can efficiently explore the potential flexibility in multi-source complementarity for promoting the penetration of renewable energy.
Keywords
conditional value-at-credibility, demand response, pumped hydro storage, risk evaluation, standalone microgrid
Suggested Citation
Zhao Y, Chen J. A Quantitative Risk-Averse Model for Optimal Management of Multi-Source Standalone Microgrid with Demand Response and Pumped Hydro Storage. (2023). LAPSE:2023.32147
Author Affiliations
Zhao Y: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255049, China
Chen J: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255049, China
Journal Name
Energies
Volume
14
Issue
9
First Page
2692
Year
2021
Publication Date
2021-05-07
ISSN
1996-1073
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Original Submission
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PII: en14092692, Publication Type: Journal Article
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LAPSE:2023.32147
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https://doi.org/10.3390/en14092692
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