Study on Economic Operation for Micro-Grid Based on Scenario and PSO

被引：0
|
作者：
Ge Liang [1 ]
Peng Liyuan [1 ]
Liu Ruihuan [1 ]
Zhou Fen [1 ]
Lv Jinhui [1 ]
Wang Xin [1 ]
机构：
[1] Beijing Sifang Automat Co LTD, Beijing 100085, Peoples R China
来源：
2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) | 2014年
关键词：
micro-grid; scenario; uncertainty; penalty function method; particle swarm optimization (PSO) algorithm;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, the economic operation problem of micro-grid is studied in an uncertain framework. The Probability Density Functions (PDF) and Roulette Wheel Mechanism (RWM) are used to build the scenarios, which can describe the randomness and uncertainty of wind power, photovoltaic power and load demand forecast error. The number of scenarios is reduced if necessary. Many kinds of constraint condition of the micro-grid system are considered, which are processed through penalty function method. On these basis, a micro-grid scheduling scheme is proposed based on the construction of scenarios. And the particle swarm optimization (PSO) algorithm is employed to solve the optimal problem. Finally, in the simulation, the proposed framework is verified to be more effective compared with the deterministic framework for micro-grid.
引用
收藏
页码：3152 / 3156
页数：5
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