| Currently, the distribution network has a large expansion of investment, longconstruction period, and the difference between peak load and valley load is growing. It isdifficult to only rely on the expansion of the distribution network to meet the rapidly growingdemand load. Distributed generation technologies with efficient, flexible, environmentaladvantages, has attracted wide attention worldwide. Meanwhile, demand-side managementcan temporarily solve the shortage of electricity supply, to achieve the purpose postponedplants. Therefore, on the basis of large centralized power generation and grid operation, toestablishment of new distribution network containing distributed generation and demand sideresponse will become the inevitable trend of future smart grid development. However, withthe gradual deepening of distributed system of new technologies applications, such asdemand-side management, distributed generation technologies and so on, the traditionalplanning method of distribution system is facing unprecedented challenges.However, with the gradual deepening of distributed applications and demand-sidemanagement, energy and power of new technologies, the traditional method of distributionnetwork planning is facing unprecedented challenges.On actual engineering situation, this paper proposes a distribution network integratedplanning with considering distributed generation(DG) and demand side management(DSM).Firstly, considering the impact of distributed generation(DG) to distribution network planning,in the case of uncertainty of distributed power number, location and a single power supplycapacity, we can determine the objective function through conversion to the costs ofinvestment, operating, transmission losses and purchase fee after the introduction of DG andenvironmental benefits annually; Secondly, after making DG planning and conductingdemand side management(DSM) to interruptible load price, a Comprehensive planning can beformed by introducing user-side resources to distribution network planning model; Then, wecan run a hybrid intelligent computer program of Support vector machine(sSVM)and particleswarm algorithm(PSO), which is supported by MATLAB software, to optimization objectivefunction to get the highest joint planning of economy and reliability.By simplifying an actual feeder of Qingxin Area, it gives42nodes distribution system. It calculates the economic and reliability indicators for the planning scheme under threescenarios, the results show with DG integrated planning and demand-side response canimprove the load characteristics to optimize network operation, delay the distribution networkconstruction and bring some environmental benefits. It provides recommendations forQingxin Area on implementing demand-side management and distributed generation. |