会议论文详细信息
2018 2nd International Conference on Environmental, Industrial and Energy Engineering
Algorithm for Solving Economical and Environmental Dispatch Problems of Thermal Power Plants
生态环境科学;能源学
Frigura-Iliasa, M.^1 ; Frigura-Iliasa, F.M.^2 ; Balcu, F.I.^2 ; Dolga, L.^1 ; Filipescu, H.^1 ; Musuroi, S.^1^3
POLITEHNICA University Timisoara, Faculty of Electrical and Power Engineering, Timisoara
300223, Romania^1
National Institute for Research. and Development in Electrochemistry and Condensed Matter, LERF, Timisoara, Romania^2
Academy of Romanian Scientists, Timisoara
300221, Romania^3
关键词: Adaptive mechanism;    Algorithm for solving;    Environmental dispatch;    Environmental economics;    Genetic approach;    Modified tabu search algorithms;    Optimal allocation;    Thermal power plants;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/219/1/012010/pdf
DOI  :  10.1088/1755-1315/219/1/012010
学科分类:环境科学(综合)
来源: IOP
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【 摘 要 】

This paper presents a modified tabu search algorithm which uses a real-valued solution vector and an adaptive mechanism for generating neighbors. The neighbors are produced by adding an adjusted coefficient at each iteration which enables us to find the most promising region of the search space. By consequent, a modified tabu search algorithm is applied to economic and environmental economic dispatch problems. The proposed method has achieved efficient and accurate solutions for power systems with 3, 6, 10, 20, 40, 80, 120, 160 and 240 units respectively. The results of the proposed method are compared with those of an improved Hopfield neural network approach, a fuzzy logic controlled genetic algorithm, an advanced engineered-conditioning genetic approach, and an advanced Hopfield neural network approach. It is shown that the proposed method is superior in providing optimal allocation of generation units which minimizes the total fuel cost. Simulation results show that the proposed method yields better solutions when compared to the alternate techniques.

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