In recent years, as State Grid Shandong Electric Power Company is one of the key pilot construction units of the new strategy of “realizing the coordination and interaction of source network, load and storage”, renewable energy power generation systems have gradually changed from a subsidy object to an independent bidding subject when participating in the spot power market of Shandong Province. The uncertainty of renewable energy output and spot market price leads to the loss caused by bidding deviation when participating in the power market competition, and the income drops significantly. The good complementarity of wind and solar energy can reduce the fluctuation of renewable energy output and promote renewable energy consumption. First, the joint output probability distribution of a wind-solar hybrid generation system is simulated based on Copula function. Then, aimed at maximizing the bidding profit of the wind-solar hybrid generation system in spot market, a two-stage mixed integer stochastic optimization bidding model considering bidding deviation penalty is established. The conditional value at risk theory is used to evaluate the risk of renewable energy and electricity price forecast deviation, and the optimal bidding strategy is obtained.
For the grid connected by high proportion distributed power, energy storage system can effectively reduce the adverse impact of micro grid power fluctuation on the grid. Because of the high cost of energy storage system, it is necessary to optimize the capacity of energy storage system. Therefore, this paper proposes a capacity optimization method of energy storage system. Based on the comprehensive consideration of system objectives, construction costs, energy storage security and other factors, the simulation analysis model of the system is established, and the control strategy is optimized. In this paper, the algorithm is applied to the construction of microgrid demonstration project. The experimental results verify the effectiveness of the proposed method.
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