计及负荷静态电压特性的多目标交易研究

MULTIOBJECTIVE OPTIMIZATION TRANSACTION MODEL INCORPORATING LOAD STATIC VOLTAGE CHARACTERISTICS

提出了一种基于计及负荷静态电压特性最优潮流的多目标优化交易计划新模型,并讨论了负荷模型对交易的影响约束,能够反映节点电压变化对交易的影响,从而使交易模型更加符合电力系统运行的特点;采用模糊集理论并结合内点法对模型求解;基于Kuhn-Tucker 一阶最优性必要条件分析了多目标竞标机理并定义了节点广义实时价格和节点电压对节点需求灵敏度等指标,从而可定量评估发电节点经济.环保等综合指标和需求节点电压对系统交易的影响.算例结果表明了该模型、算法及所定义指标的有效性。

This paper presents a multi-objective optimal transaction model based on optimal power flow incorporating load static voltage characteristic and studies the effects of load model on transaction. This is formulated as multiobjective optimization problem of minimizing both pool purchase cost and the pollution emission, which also takes the generator capacity, transmission lines capability and node voltage security constraints into account. The model can reflect the impacts of node voltage changing on transaction. Therefore, it is more suitable for the power system practical condition. Fuzzy sets theory and interior point method are used to solve this problem. Based on Kuhn-Tucker first order optimality necessary conditions, the mechanism of multi-objective bidding is investigated, the generalized node spot price and the sensitivity of node voltage to node demand are defined, which can quantitatively assess economical and environmental indices of generator and the effect of demander’s voltage to transaction. Simulation results show that the proposed model and the defined index are rationality and feasibility.