Optimal Generation Rescheduling for Congestion Management, LMP Enhancement and Social Welfare Maximization

被引：0

作者：

Eladl, Abdelfattah ^{[1
]}

Kaddah, Sahar ^{[1
]}

Haikal, Ebtehag ^{[2
]}

机构：

[1] Mansoura Univ, Dept Elect Engn, Fac Engn, Mansoura 35516, Egypt

[2] Woreker Univ, Zagazig Branch, Developing Dept, Zagazig, Egypt

来源：

2017 NINETEENTH INTERNATIONAL MIDDLE-EAST POWER SYSTEMS CONFERENCE (MEPCON) | 2017年

关键词：

Transmission Congestion Management; Genetic Algorithm; Generation Rescheduling; Optimal Power Flow; Locational Marginal Pricing;

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：

Transmission lines Congestion is one of the most important problems in the deregulated electricity market and may lead to system failure, so Independent System Operator (ISO) should take action as fast as possible to alleviate this congestion. There are many methods for congestion removing; one of the most practically used methods is the generating rescheduling by changing active power output of generators either increasing or decreasing. In this paper, genetic algorithm is employed as an optimization technique to determine the optimal rescheduling of generators outputs in order to alleviate transmission lines congestion and satisfy the objective function which are social welfare maximization by reducing the locational marginal price (LMP) deference between buses. The proposed technique is applied and validated on IEEE 30-bus system by MATLAB.

引用

页码：1190 / 1194

页数：5

共 44 条

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