DocumentCode
2230166
Title
Fuzzy economic dispatch and spinning reserve allocation using evolutionary programming
Author
Ahmadi-Khatir, Ali ; Motamedi, Amir ; Sadati, Naser ; Fallahi, Kia ; Fathi, Bahareh
Author_Institution
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear
2008
fDate
28-30 Sept. 2008
Firstpage
1
Lastpage
5
Abstract
The objective of economic dispatch (ED) problem is minimizing the operating cost, and finding the point where the total output of the generations equals the total power that must be delivered. In that point the incremental cost of power generation is also equal for all generators. Considering the presence of uncertainty and inaccuracy in the data, fuzzy set theory is an appropriate method to solve the economic dispatch problems. In this paper, a modified fuzzy economic dispatch is formulated to solve the problem under the competitive electricity market uncertainties. Also, available spinning reserve is optimally allocated to market participants. The formulated optimization problem it then solved using the evolutionary programming (EP). The advantage of the proposed approach, in compression to classical method, is shown in one application example.
Keywords
evolutionary computation; fuzzy set theory; power generation dispatch; power markets; power system economics; economic dispatch problem; electricity market; evolutionary programming; fuzzy economic dispatch; fuzzy set theory; power generation; spinning reserve allocation; Costs; Electricity supply industry; Fuzzy set theory; Genetic programming; Power generation; Power generation dispatch; Power generation economics; Power system economics; Spinning; Uncertainty; economic dispatchderegulation; evolutionary programming (EP); fuzzy set theory; spinning reserve capacity;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Symposium, 2008. NAPS '08. 40th North American
Conference_Location
Calgary, AB
Print_ISBN
978-1-4244-4283-6
Type
conf
DOI
10.1109/NAPS.2008.5307355
Filename
5307355
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