Coordinated optimal configuration scheme of wind-solar ratio
This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light.
A two-layer optimization model and an improved snake optimization algorithm (ISOA) are proposed to solve the capacity optimization problem of wind–solar–storage multi-power microgrids in the whole life cycle. In the upper optimization model, the wind–solar–storage capacity optimization model is established.
The lower layer features an optimal scheduling model, with the outputs of each power source in the microgrid as the decision variables. Additionally, this paper examines capacity optimization for wind–solar–storage systems across various scenarios, exploring optimal capacity configurations and operational strategies.
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.
Sensitivity analysis of wind-solar equipment costs shows that within a 20 % price fluctuation range, the optimal wind-solar coupling ratio only varies slightly between 0.69 and 0.71. Therefore, it is expected that the optimal wind-solar capacity ratio will not change significantly in the long term.
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.
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.
This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light.
In response to the challenges of matching capacities and high construction costs in wind-solar-storage multi-energy complementary power generation systems, This paper addresses issues
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Highlights • An innovative optimal design of wind-solar capacity ratios. • The best wind-solar coupling ratio of 0.71 in Qingdao. •
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