考虑分布式电源和需求侧响应的配电网综合规划

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

随着智能电网的发展,配电网规划与运行问题的研究日益受到重视。结合工程实际建立了考虑分布式电源及需求侧响应的配电网综合规划数学模型,并构造了混合智能算法进行寻优求解,以达到综合利用分布式发电资源和需求侧响应资源来提高配电网运行的良好经济性和安全可靠性。综合考虑了分布式电源的投资及运行费用、网损费用、可中断负荷补偿费用、引入分布式电源后的购电费用、环境效益并建立目标函数;在进行分布式电源规划时,通过可中断负荷电价引导需求侧响应,将用户侧资源引入配电网规划模型中实行综合规划;采用基于支持向量机和粒子群算法的混合智能算法对目标函数进行寻优,从而得到了经济性和可靠性最高的配电网综合规划方案。最后,以我国南方某地区的实际算配网作为算例进行计算分析,验证了所提模型及算法的可行性。

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 total cost of investment,operation,transmission loss,compensation for interruptible loads and electricity purchase,and the environmental benefits after integration of DG. The integrated planning scheme will be acquired by introducing DG and 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 are verified by simulation cases based on a real regional distribution system in China.