Multi-Objective Optimial Configuration Of Distributed Wind-Solar Generation Considering Energy Storage

2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2)(2018)

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摘要
Because of the randomness and volatility of the wind-solar power, their integration into grid is limited. An optimal configuration model of distributed wind-solar power generation system is suggested, which includes the total cost of operation, the economic loss of voltage sag and the inhibitory effect of distributed wind-solar power supply fluctuation under the effect of energy storage equipment. The validity of the proposed model is verified in the improved IEEE-33 node simulation system, by combining the improved PSO (Particle Swarm Optimization) algorithm with TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) of combination weighting. Simulation results show the suggested optimal model can effectively reduce the net loss, the economic loss of the voltage sag and the fluctuation of the output of the DG, and it can improve the economy and stability of the system by considering the time series characteristic of the distributed wind-solar power output and the coordination effect of the energy storage device.
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关键词
distributed wind-solar power, energy storage device, multi-objective optimization, improved particle swarm optimization, timing characteristics
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