Multi-index Economical Peak Load Regulation Model Based on Improved Particle Swarm Optimization | |
Hao, Xiaohong1; Yang, Jingyuan2 | |
2017 | |
关键词 | virtual power plant multi-objective optimization peak load regulation Grey Particle Swarm Optimization |
卷号 | 124 |
页码 | 338-343 |
英文摘要 | In recent years, new energy continued rapid growth in China. Installed capacity of wind power and solar power both surged the new highs. However, the problem of insufficient peak peaking capacity of power system of large-scale new energy grid becoming more and more serious due to the random and intermittent characteristics of wind power and photovoltaic. This paper put forward a strategy of virtual power plant, which consisting of uncontrollable renewable energy and controllable energy will participate peak load regulation. With goal of minimizing the load variance and operating cost in each period, a multi-objective peak load regulation modes of virtual power plant is established. Power output of each energy resource of virtual power plant is obtained with improved grey particle swarm algorithm. Take the IEEE33 node distribution system as an example to simulate. The results show that the peak load regulation model can be carried out economically and effectively peak-shaving. |
会议录 | PROCEEDINGS OF THE 2017 2ND INTERNATIONAL SYMPOSIUM ON ADVANCES IN ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (ISAEECE 2017) |
会议录出版者 | ATLANTIS PRESS |
会议录出版地 | 29 AVENUE LAVMIERE, PARIS, 75019, FRANCE |
语种 | 英语 |
WOS研究方向 | Engineering |
WOS记录号 | WOS:000417221100065 |
内容类型 | 会议论文 |
源URL | [http://119.78.100.223/handle/2XXMBERH/36236] |
专题 | 电气工程与信息工程学院 |
通讯作者 | Hao, Xiaohong |
作者单位 | 1.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China |
推荐引用方式 GB/T 7714 | Hao, Xiaohong,Yang, Jingyuan. Multi-index Economical Peak Load Regulation Model Based on Improved Particle Swarm Optimization[C]. 见:. |
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