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In an open electricity market, electricity purchasers will trade, typical decision- making issue is how to determine purchasing proportion of two markets to reduce purchase expense meanwhile avoid risk. Based on chance constrained programming, a new purchase decision-making optimization model with stochastic constraint of Distribution Company is sim- plified into a definite model. The solution is genetic algorithm based on stochastic simulation which can coordinate purchase expense and risk successfully. Finally, a numerical simulation demonstrates the optimal distribution strategy . Results indicate that it's helpful for electricity purchaser to seek optimal investment strategy in electricity market.

A research on the purchase quantity allocation between contract market and power auction market