کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9652072 | 1438831 | 2005 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Scheduling of cogeneration plants considering electricity wheeling using enhanced immune algorithm
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Scheduling of cogeneration plants considering electricity wheeling using enhanced immune algorithm Scheduling of cogeneration plants considering electricity wheeling using enhanced immune algorithm](/preview/png/9652072.png)
چکیده انگلیسی
A new method based on immune algorithm (IA) is presented to solve the scheduling of cogeneration plants in a deregulated market. The objective function includes fuel cost, population cost, and electricity wheeling cost, subjective to the use of mixed fuels, operational limits, emissions constraints, and transmission line flow constraints. Enhanced immune algorithm (EIA) is proposed by an improved crossover and mutation mechanism with a competition and auto-adjust scheme to avoid prematurity. Table lists with heuristic rules are also employed in the searching process to enhance the performance. EIA is also compared with the original IA. Test results verify that EIA can offer an efficient way for cogeneration plants to solve the problem of economic dispatch, environmental protection, and electricity wheeling.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Electrical Power & Energy Systems - Volume 27, Issue 1, January 2005, Pages 31-38
Journal: International Journal of Electrical Power & Energy Systems - Volume 27, Issue 1, January 2005, Pages 31-38
نویسندگان
Sung-Ling Chen, Ming-Tong Tsay, Hong-Jey Gow,