Coordinated optimal configuration scheme of wind-solar ratio and energy
This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light.
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 sets the wind-solar ratio within a certain range, aiming to maximize the power generation system's integrated wind and solar capacity while minimizing the wind and solar curtailment rates. The objective function can be expressed as follows. Maximize the total installed capacity 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.
The wind-to-solar capacity ratio for the maximum installable capacity of the system is around 1.25:1. This indicates that setting the loss of load rate at 3 % during the design phase allows the complementary characteristics of wind and solar power to be fully utilized, making it more suitable for dealing with fluctuations in user load.
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. Furthermore, installed capacity increases with increasing wind and solar curtailment rates and loss-of-load probabilities.
It is evident that regardless of the wind-solar ratio, a higher loss of load rate and wind and solar curtailment rate lead to a more considerable integrated wind and solar capacity. Through analysis, it can be inferred that increasing the wind and solar curtailment rate reduces the output fluctuation of new energy integrated into the system.
This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light.
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