In open electricity market, electricity purchasers will trade in two different ways of marketing. Con- tract and power auction market, a typical decision-making is how to determine purchasing proportion of two markets to reduce purchase expenses and avoid risks. Based on chance-constrained program-ming, a new purchase decision-making optimiza-tion model with stochastic constraint of Distribu-lution is genetic algorithm based on stochastic sim-ulation which coordinates purchase expenses and risks successfully. Finally, a numerical simulation demonstrates optimal distribution strategy clearly.Results indicate that it's helpful for electricity pur-chasers to seek optimal investment strategy in elec-tricity market.
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