Wind and Landscape Storage Collaborative Planning Technology Based on Improved Particle Swarm Optimization
In order to improve the rationality of the design of the existing new energy planning model,the model solving algorithm was optimized and the relevant constraints were supplemented.According to the output characteristics and operation characteristics of wind power,photovoltaic distributed power generation and energy storage system,the mathematical model of wind,light and storage is established.The comprehensive impact of renewable energy on the distribution network by its own intermittent and fluctuating characteristics after it is connected to the distribution network is analyzed.The energy storage system has the characteristics of stable oscillation,load peak regulation,and delayed equipment transformation,and the planning idea of rational allocation of renewable energy and energy storage system to are put forward improve the safety,stability and economy of the distribution network.The objective functions such as operating cost,carbon emissions and network loss index are comprehensively considered,and the optimal site selection and capacity of distributed power generation and energy storage system are determined by improving the particle swarm algorithm.Finally,the model is solved by the improved particle swarm algorithm and simulated in the IEEE33 node system,and the effectiveness of the proposed collaborative planning scheme of wind,solar and storage is verified by practical examples.
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维普
