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Research On Purchasing And Selling Energy Strategy Of Virtual Power Plant

As China's electricity reform enters the deep water zone, virtual power plant gradually participates in the market competition as a kind of comprehensive retails electricity supplier. Based on the electricity market and natural gas market, this paper puts forward the operation mode of double-layer virtual power plant. The upper layer is composed of commercial virtual power plants to participate in energy market transactions, while the lower layer is composed of technical virtual power plants to control the hybrid mode of distributed power supply. A virtual power plant purchase and sale energy model considering user selection behavior is built. The goal is to maximize the profit of comprehensive purchase and sale energy, and particle swarm optimization algorithm is adopted to solve the problem, and then the optimal strategy of purchase and sale energy of virtual power plant is determined. The results show that the proposed method can achieve multi-energy market coupling and complementation, increase user stickiness and improve the comprehensive income of virtual power plants.