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针对电力市场条件下交易的特点,在以最小边际电价为目标的模型中提出了以电网安全为约束的多时段日前交易混合优化策略。在该策略中,可以允许电厂的报价为任意形式、任意段数的线性折线段构成。为了能够处理这种灵活的报价形式,使用虚拟机组的概念把多段折线报价分解成单段报价,提出了一个结合遗传算法和线性规划法各自优点的混合优化策略来求解模型,其中遗传算法用来解决多时段虚拟机组的组合问题,线性规划法用于进行考虑线路阻塞的电量最优分配。算例结果验证了所提出模型和算法的正确性和有效性。
In view of the characteristics of the transaction under the electricity market conditions, a hybrid multi-period trading optimization strategy with grid security as the constraint is proposed in the model with the minimum marginal price as the target. In this strategy, it is permissible for the plant to be quoted in any form, with any number of segments of linear polylines. In order to deal with this kind of flexible quotation form, the concept of virtual unit is used to decompose multi-segment line quotation into single-segment quotation. A hybrid optimization strategy combining genetic algorithm and linear programming method is proposed to solve the model. The genetic algorithm To solve the problem of the combination of multi-period virtual machines, the linear programming method is used to make the optimal distribution of power considering the line congestion. The example results verify the correctness and validity of the proposed model and algorithm.