TY  - EJOU
AU  - Wen, Caifeng 
AU  - Xue, Feifei 
AU  - Hao, Hongliang 
AU  - Nyakilla, Edwin E. 
AU  - Yang, Ning 
AU  - Wang, Yongsheng 
AU  - Zhang, Yuwen 

TI  - Research on Wind-Solar Complementarity Rate Analysis and Capacity Configuration Based on COPULA-IMOPSO
T2  - Energy Engineering

PY  - 2025
VL  - 122
IS  - 4
SN  - 1546-0118

AB  - This paper presents a new capacity planning method that utilizes the complementary characteristics of wind and solar power output. It addresses the limitations of relying on a single metric for a comprehensive assessment of complementarity. To enable more accurate predictions of the optimal wind-solar ratio, a comprehensive complementarity rate is proposed, which allows for the optimization of wind-solar capacity based on this measure. Initially, the Clayton Copula function is employed to create a joint probability distribution model for wind and solar power, enabling the calculation of the comprehensive complementarity rate. Following this, a joint planning model is developed to enhance the system’s economy and reliability. The goal is to minimize total costs, load deficit rates, and curtailment rates by applying an Improved Multi-Objective Particle Swarm Optimization algorithm (IMOPSO). Results show that when the proportion of wind power reaches 70%, the comprehensive complementarity rate is optimized. This optimization leads to a 14.83% reduction in total costs and a 9.27% decrease in curtailment rates. Compared to existing studies, this paper offers a multidimensional analysis of the relationship between the comprehensive complementarity rate and the optimal wind-solar ratio, thereby improving predictive accuracy and providing a valuable reference for research on the correlation between wind and solar power.
KW  - Wind-solar power generation; comprehensive complementarity rate; wind-solar ratio; capacity configuration; COPULA-IMOPSO model

DO  - 10.32604/ee.2025.060810