LAPSE:2023.25769
Published Article

LAPSE:2023.25769
Exploring Wind and Solar PV Generation Complementarity to Meet Electricity Demand
March 29, 2023
Abstract
Understanding the spatiotemporal complementarity of wind and solar power generation and their combined capability to meet the demand of electricity is a crucial step towards increasing their share in power systems without neglecting neither the security of supply nor the overall cost efficiency of the power system operation. This work proposes a methodology to exploit the complementarity of the wind and solar primary resources and electricity demand in planning the expansion of electric power systems. Scenarios that exploit the strategic combined deployment of wind and solar power against scenarios based only on the development of an individual renewable power source are compared and analysed. For each scenario of the power system development, the characterization of the additional power capacity, typical daily profile, extreme values, and energy deficit are assessed. The method is applied to a Portuguese case study and results show that coupled scenarios based on the strategic combined development of wind and solar generation provide a more sustainable way to increase the share of variable renewables into the power system (up to 68% for an annual energy exceedance of 10% for the renewable generation) when compared to scenarios based on an individual renewable power source. Combined development also enables to reduce the overall variability and extreme values of a power system net load.
Understanding the spatiotemporal complementarity of wind and solar power generation and their combined capability to meet the demand of electricity is a crucial step towards increasing their share in power systems without neglecting neither the security of supply nor the overall cost efficiency of the power system operation. This work proposes a methodology to exploit the complementarity of the wind and solar primary resources and electricity demand in planning the expansion of electric power systems. Scenarios that exploit the strategic combined deployment of wind and solar power against scenarios based only on the development of an individual renewable power source are compared and analysed. For each scenario of the power system development, the characterization of the additional power capacity, typical daily profile, extreme values, and energy deficit are assessed. The method is applied to a Portuguese case study and results show that coupled scenarios based on the strategic combined development of wind and solar generation provide a more sustainable way to increase the share of variable renewables into the power system (up to 68% for an annual energy exceedance of 10% for the renewable generation) when compared to scenarios based on an individual renewable power source. Combined development also enables to reduce the overall variability and extreme values of a power system net load.
Record ID
Keywords
renewable deployment scenarios, renewable generation complementarity, renewable large-scale integration, solar power, variable renewable energy (VRE), wind power
Subject
Suggested Citation
Couto A, Estanqueiro A. Exploring Wind and Solar PV Generation Complementarity to Meet Electricity Demand. (2023). LAPSE:2023.25769
Author Affiliations
Couto A: LNEG—National Laboratory of Energy and Geology, 1649-038 Lisbon, Portugal [ORCID]
Estanqueiro A: LNEG—National Laboratory of Energy and Geology, 1649-038 Lisbon, Portugal
Estanqueiro A: LNEG—National Laboratory of Energy and Geology, 1649-038 Lisbon, Portugal
Journal Name
Energies
Volume
13
Issue
16
Article Number
E4132
Year
2020
Publication Date
2020-08-10
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13164132, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.25769
This Record
External Link

https://doi.org/10.3390/en13164132
Publisher Version
Download
Meta
Record Statistics
Record Views
143
Version History
[v1] (Original Submission)
Mar 29, 2023
Verified by curator on
Mar 29, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.25769
Record Owner
Auto Uploader for LAPSE
Links to Related Works
