Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints

被引:253
作者
Venkatesh, P [1 ]
Gnanadass, R
Padhy, NP
机构
[1] Thiagarajar Coll Engn, Dept Elect & Elect Engn, Madurai 625015, Tamil Nadu, India
[2] Pondicherry Engn Coll, Dept Elect & Elect Engn, Pondicherry 605014, India
[3] Indian Inst Technol, Dept Elect Engn, Roorkee 247667, Uttar Pradesh, India
关键词
combined cycle cogeneration plant; combined economic emission dispatch; economic load dispatch; evolutionary programming; price penalty factor;
D O I
10.1109/TPWRS.2003.811008
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Economic load dispatch (ELD) and economic emission dispatch (EED) have been applied to obtain optimal fuelcost and optimal emission of generating units, respectively. Combined economic emission dispatch (CEED) problem is obtained by considering both the economy and emission objectives. This biobjective CEED problem is converted into a single objective function using a price penalty factor approach. A novel modified price penalty factor is proposed to solve the CEED problem. In this paper, evolutionary computation (EC) methods such as genetic algorithm (GA), micro GA, (NIGA), and evolutionary programming (EP) are applied to obtain ELD solutions for three-, six-, and 13-unit systems. Investigations showed that EP? was better arnong EC methods in solving the ELD problem. EP-based CEED. problem has been tested on IEEE 14-, 30-, and 118-bus systems with and without line flow constraints. A nonlinear scaling factor is also included in EP algorithm to improve the convergence performance for the 13 units and IEEE test systems. The solutions obtained are quite encouraging and useful in the economic emission environment.
引用
收藏
页码:688 / 697
页数:10
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