计及DG和需求侧响应的智能电网优化研究  

Study on the Optimization of Smart Grid With Distributed Generation and Demand Side Response

作　　者：李洪珠[1] 康庆华[1] 张垒[2] 张馨瑜[1] LI Hongzhu KANG Qinghua ZHANG Lei ZHANG Xinyu(School of Electrical Engineering and Control, Liaoning Technical University, Huludao 125105, Liaoning Province, China Liaoyang Power Supply Company, State Grid Liaoning Electric Power Co., Ltd., Liaoyang 111000, Liaoning Province, China)

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁省葫芦岛市125105 [2]国网辽宁省电力有限公司辽阳供电公司,辽宁省辽阳市111000

出　　处：《智能电网》2017年第6期562-566,共5页Smart Grid

摘　　要：由于智能电网要求未来的配电网能够方便地接纳分布式电源和实施有效的需求侧管理,因此本文建立以综合运行费用最小为目标函数的既考虑分布式电源又考虑需求侧响应的智能电网优化模型。采用粒子群和声搜索混合算法求解该模型。通过算例证明,粒子群和声搜索混合算法能够快速、有效求解此类问题,与单独考虑DG以及需求侧响应相比,同时考虑分布式电源和需求侧响应,既有效降低智能电网的综合运行费用,又合理的利用了新能源,对环境起到了保护的作用。For the smart grid requires for future distribution network to easily accept distributed power and implement effective demand side management, a smart grid optimization model that uses the minimum of comprehensive operation cost as the target function and considers both distributed power supply and demand side response is established. In this paper, the hybrid algorithm called PSO-IHS is used to solve the model. It is proved through a numerical example that the PSO-IHS can quickly and effectively solve such problems. Compared with the DG and demand side response being considered separately, considering simultaneously both the distributed power supply and demand side response can not only effectively reduce the comprehensive operation cost of the smart grid, but also can make rational use of the new energy to protect the environment.

关 键 词：分布式电源 需求侧响应 智能电网 粒子群和声搜索混合算法 

分 类 号：TM76[电气工程—电力系统及自动化]