A Coordinated Planning Model for Wind-PV Capacity Ratio that Takes into Account both Consumption and Supply Preservation

With the ongoing development of new-type power systems, how to ensure stable power supply while promoting efficient renewable energy integration has become a key challenge in the coordinated planning of wind–PV capacity ratios. In this study, a systematic analytical framework is established, encompassing data processing, model input, model construction and solution, and result output. A planning model is then formulated with the objective of minimizing total system cost, incorporating constraints such as renewable output variability and equipment operation. Power abandonment rate and power shortage rate are introduced as key performance indicators. Finally, the impact of different wind–PV capacity ratios on renewable energy accommodation and system reliability is evaluated through case studies. The results indicate that a properly balanced wind–PV ratio can significantly enhance renewable utilization while maintaining supply adequacy and improving overall economic performance.

Authors

Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/etee66180.2025.11193134
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Coordinated Planning Model for Wind-PV Capacity Ratio that Takes into Account both Consumption and Supply Preservation

Guixing Yang, Wen-Hui Zhai, Pengpeng Kang, Yiqian Sun et al.
Power Systems and Renewable Energy
article

A Coordinated Planning Model for Wind-PV Capacity Ratio that Takes into Account both Consumption and Supply Preservation

Guixing Yang, Wen-Hui Zhai, Pengpeng Kang, Yiqian Sun, Hongyan Hao
article en

Abstract

With the ongoing development of new-type power systems, how to ensure stable power supply while promoting efficient renewable energy integration has become a key challenge in the coordinated planning of wind–PV capacity ratios. In this study, a systematic analytical framework is established, encompassing data processing, model input, model construction and solution, and result output. A planning model is then formulated with the objective of minimizing total system cost, incorporating constraints such as renewable output variability and equipment operation. Power abandonment rate and power shortage rate are introduced as key performance indicators. Finally, the impact of different wind–PV capacity ratios on renewable energy accommodation and system reliability is evaluated through case studies. The results indicate that a properly balanced wind–PV ratio can significantly enhance renewable utilization while maintaining supply adequacy and improving overall economic performance.

Openalex Percentile: Top 68%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.