Optimal Allocation Of Distributed Power Supply With Uncertain Loads

Distributed Generation(DG)is flexible,economical and environmentally friendly.DG can break through the geographical constraints of resources,and effectively solve the problems about energy utilization and environmental protection.Power grid is a non-linear system.After DG connection,the grid loss and voltage at the connecting positions are varied due to the difference of power structure.Rational DG access can effectively reduce grid loss of power grid,improve electrical capacity and stabilize power grid and voltage,while,the messy and unplanned DG access will lead to the decline of various indicators of power grid.Consequently,DG site selection and optimization has become one of the important issues for power system to explore.There are many uncertainties in DG allocation and optimization,such as various types of loads in actual power system and their values are also uncertain with the change of time and temperature.The value of voltage at each position of power system is not constant,always fluctuating above or below the rated voltage.Therefore,it is necessary to think about the uncertain DG power optimization and allocation.(1)This article first introduces the background and current situation of distributed generation’s uncertainty research status,and all types and application place of DG.Quantitative analyzes the influence of DG access on grid loss and voltage of power grid,differentiates the types of access nodes based on different types of DG,gives the transformation methods of different nodes,and further obtains advanced forward and backward substitution method for powerflow calculation.(2)This article put forward IH-NSGA2 based on HSO volume calculation method,and improves IH-NSGA2,and puts forward IHIS-NSGA2 algorithm,which based on μ criterionaimed to solve the problem that previous interval ranking criteria is toorough.Make simulation comparison between the two algorithms and standard test function,the findings show that the two algorithms are all better than IP-MOEA in terms of performance.(3)This article apply the two algorithms to IEEE-33 node system,respectively establish two mathematical models: with the smallest network loss and smallest network loss target,with the smallest voltage offset andthe smallest investment maintenance cost target.These mathematical models are used to optimize the location and capacity of DG.The findings show that grid loss obviously reduced after the optimization and the voltage greatly rose.Makerswith different subjective wishesshould choose different allocation proposal from the obtained optimal solution sets to effectively reduce the grid loss and construction cost.