Integrated Planning of Distribution Systems with Distributed Generation and Demand Side Response

The planning and operational issues of distribution systems have attracted more and more attentions from researchers with the development of Smart Grids. A new integrated planning model of distribution systems and the solution methods are proposed in this paper to investigate the way of improving the economy and reliability of distribution system planning by making full use of distributed generation (DG) and demand side response (DSR) resources. The planning objective function is formed by taking consideration of the investment and operation cost of DG, transmission loss cost, compensation cost for interruptible loads, purchasing electricity cost, and the environmental benefits after integration of DG. The integrated planning scheme will be acquired by introducing price induced interruptible load to distribution system planning model. A hybrid intelligent algorithm consisting of support vector machines (SVM) and particle swarm optimization algorithm (PSO) is proposed to solve the integrated planning model. The effectiveness and advantages of the model and algorithms and the necessity of considering the demand side resources are verified by simulation cases based on a real regional distribution system in China.