Study of wind-solar based combined heat and power economic dispatch problem using quasi-oppositional-based whale optimization technique

被引:6
|
作者
Paul, Chandan [1 ]
Roy, Provas Kumar [2 ]
Mukherjee, Vivekananda [1 ]
机构
[1] Indian Sch Mines, Indian Inst Technol, Dept Elect Engn, Dhanbad, Jharkhand, India
[2] Kalyani Govt Engn Coll, Dept Elect Engn, Kalyani, W Bengal, India
来源
关键词
combined heat and power economic dispatch (CHPED); quasi-oppositional based whale optimization algorithm (QOWOA); solar energy; whale optimization algorithm (WOA); wind energy; PARTICLE SWARM OPTIMIZATION; LEARNING BASED OPTIMIZATION; RENEWABLE ENERGY-SOURCES; SEARCH ALGORITHM; BAT ALGORITHM; DEMAND;
D O I
10.1002/oca.2790
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Source of fossil fuel is impoverishing in the upcoming future. Renewable energy sources (RESs) are becoming challenging conventional energy substitutes in the present scenario. In this article, an attempt has been made to utilize RESs such as wind and solar energy with combined heat and power economic dispatch problems. The intention of this presentation is to minimize conflict objectives such as fuel cost accomplished with load demand along with transmission losses while satisfying all the constraints. A new optimization technique, namely a quasi-oppositionalbased whale optimization algorithm (QOWOA) is adopted to cope up with the non-linearities of the chosen systems. The proposed technique is tested on two different nonlinear realistic power systems to achieve the satisfactory performances. The superiority of the proposed QOWOA algorithm is judged by comparing it with some recently developed metaheuristic optimization techniques.
引用
收藏
页码:480 / 507
页数:28
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