Multiobjective optimization transaction model incorporating load static voltage characteristics

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.