Simulation results validated using real-world data from the southwest region of China. Future research will focus on stochastic modeling and incorporating energy storage systems. This paper proposes constructing a multi-energy complementary power generation system integrating hydropower, wind, and solar energy.
The optimization uses a particle swarm algorithm to obtain wind and solar energy integration''s optimal ratio and capacity configuration. The results indicate that a wind-solar ratio of around 1.25:1, with wind power installed capacity of 2350 MW and photovoltaic installed capacity of 1898 MW, results in maximum wind and solar installed capacity.
It is clear that regardless of the wind and solar curtailment rate, the optimal installed capacity ratio is close to 1:1. This indicates that wind power and solar power complement each other well based on typical daily output data selected from the entire year, thereby demonstrating the necessity of simultaneous development of wind and solar power.
At this ratio, the maximum wind-solar integration capacity reaches 3938.63 MW, with a curtailment rate of wind and solar power kept below 3 % and a loss of load probability maintained at 0 %. Furthermore, under varying loss of load probabilities, the total integration capacity of wind and solar power increases significantly.
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