Substation Locating Optimization Based On Risk Analysis

With the rapid development of social economy and the increasing of the city electricity load, the higher requirements of urban power network optimization are put forward. The substations were the key facilities, the urban power network was also determined by the choice of substation location. However, the more and more uncertain risks would be confronted during the period of substation location, it was widely acknowledged that it had important theoretical and practical significance to discuss the substation location risks optimization.In this paper, the model of substation location was established from the perspective of the whole life cycle theory, which was based on the operations optimization theory. The model improve the limitation of the minimum cost objective function in the location optimization, and then the maximum profit objective function during the whole life cycle was put forward in the innovative way, the feasibility of the optimization results was analyzed thought comparing with the traditional optimization and intelligent optimization.The uncertain risks were analyzed in the substation location optimization based on the risk theory, which combined with the whole life cycle, and were evaluated by the model of Interpretative Structural Modeling, and also the statistics function of probablity theory was introduced into the optimization, the distribution function of the uncertain risks in the substation location optimization during the whole life cycle was analyzed, and then the key risk source was analyzed quantitatively; Based on the risk analysis, the maximum risk profit function of the location optimization model was put forward, into which the multi-source location problem was introduced, the applicability of the models based on intelligent genetic algorithm and nonlinear optimization was analyzed.Example analysis shows that the model in this paper improved the science and applicability of substation location, and had a certain directive significance of analyzing substation location problems in the uncertain situations.