Short-Term Hydrothermal Scheduling Using Time Varying Acceleration Coefficient Based Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach

被引：0
|
作者：
Dasgupta, Koustav [1 ]
Banerjee, Sumit [2 ]
Chanda, Chandan Kumar [3 ]
机构：
[1] Dumkal Inst Engn & Technol, Dept Elect Engn, Basantapur, Murshidabad, India
[2] Dr BC Roy Engn Coll, Dept Elect Engn, Durgapur, India
[3] Indian Inst Engn Sci & Technol, Dept Elect Engn, Sibpur, Howrah, India
来源：
2015 INTERNATIONAL CONFERENCE ON ENERGY, POWER AND ENVIRONMENT: TOWARDS SUSTAINABLE GROWTH (ICEPE) | 2015年
关键词：
Cascaded reservoirs; Hydrothermal scheduling; Time varying acceleration coefficient based particle swarm optimization with constriction factor and inertia weight approach; valve point effect; 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：
The paper presents Time Varying Acceleration Coefficient Based Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach which is applied to determine the optimal hourly schedule of power generation in a hydrothermal power system. The objective of the hydrothermal scheduling problem is to find out the discharge of hydro plants and power generation of thermal plants to minimize the total fuel cost at a schedule horizon while satisfying various constraints. In the present work, the effects of valve point loading in the fuel cost function of the thermal plants are also considered. The developed algorithm is illustrated for a test system consisting of four hydro plants and three thermal plants. It is found that proposed Time varying acceleration coefficient based particle swarm optimization with constriction factor and inertia weight factor approach (TVAC-PSOCFIWA) appears to be the powerful to minimize fuel cost.
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收藏
页数：6
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