Abstract
Considering the uncertainty of wind power generation in the context of the regional electricity market, the risk quantitative index and risk management model for the monthly electricity purchasing plan considering the uncertainty of wind power generation is proposed. First, based on the risk measure index of the monthly peak and light load with the wind power output uncertainty, monthly peak load and light load state branch power flow is limited, and upper and lower bounds on the monthly electricity balance, which established provincial grid monthly electricity purchasing optimization model of purchase the smallest electricity cost and risk value. Secondly, aiming at the characteristics of the built model for multi-objective model and the index of risk measurement, the model is solved by the hybrid genetic algorithm which is based on the relative dominance of the embedded object and the Monte-Carlo stochastic simulation technology. Finally, a numerical example shows the effectiveness of the above mentioned work. s verified by the case of test research.
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