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The 9th International Energy Conference
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:: Volume 18, Issue 4 (1-2016) ::
IJE 2016, 18(4): 0-0 Back to browse issues page
Transmission Expansion Planning considering Wind Farm Impacts Based On ICA
Hamdi Abdi * , Mansour Moradi , Ali Rostami
Razi University , hamdiabdi@razi.ac.ir
Abstract:   (4612 Views)

Application of distributed generation particularly wind power plants in power systems, is rapidly increasing due to their various advantages. Considering the effects of these new resource impacts in power system planning, particularly TEP problem is inevitable, due to their essential role in changing the optimal plans. In this paper, a multi-objective optimization method is presented using DC load-flow in order to present a strong model for solving TEP problem. Considering uncertainties of wind farms generation and network load in the form of probabilistic variables, as well as the investment and maintenance costs in the objective function are the main advantages of the proposed algorithm. Multi-objective optimization problem has been analyzed using Imperialist Competitive Algorithm (ICA) which is one of the newest evolutionary optimization algorithms applied to power systems. To study the effects of wind farms on TEP problem and validate the proposed method, necessary changes have been made in RTS-IEEE 24-bus network and the presented algorithm has been applied to them. The results have been compared to optimum plans which were searched by GA Algorithm

Keywords: Transmission Expansion Planning, Multi-objective Optimization, Wind Farms, Imperialist Competitive Algorithm, Genetic Algorithm
Full-Text [PDF 606 kb]   (4254 Downloads)    
Type of Study: Research | Subject: Energy Planning Models
Received: 2014/12/15 | Accepted: 2015/03/17 | Published: 2016/03/9
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Abdi H, Moradi M, Rostami A. Transmission Expansion Planning considering Wind Farm Impacts Based On ICA. IJE 2016; 18 (4)
URL: http://necjournals.ir/article-1-785-en.html


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Volume 18, Issue 4 (1-2016) Back to browse issues page
نشریه انرژی ایران Iranian Journal of Energy
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