Economic Dispatch with Transmission Losses in a Distributed Generation Network of Bahawalpur

Author:

Khan Ahmad1,Rashid Zeeshan2,Umer Farhana2ORCID,Yousaf Abdur Rehman3,Saeed Arif4

Affiliation:

1. M. Sc. Student, The Islamia University of Bahawalpur , Bahawalpur , Pakistan

2. Assistant Professor, The Islamia University of Bahawalpur , Bahawalpur , Pakistan

3. Lecturer, The Islamia University of Bahawalpur , Bahawalpur , Pakistan

4. Lecturer, Institute of Southern Punjab , Multan , Pakistan

Abstract

Abstract In an electrical power system, the ultimate aim is to generate and deliver electrical energy to consumer side with minimum cost involved. Thus, least fuel cost, effective unit commitment and minimum transmission losses are desirous to achieve economic dispatch in a distributed generation network. In this research, economic dispatch considering transmission losses in a distributed generation network of Bahawalpur is reported. A MATLAB algorithm is designed which gives optimum division of power between two power plants and their transmission losses. Power plants considered here are thermal power plant Muzafargarh and Kot Addu Power Company (KAPCO), the former being located at smaller distance from Bahawalpur district. Finally, load trend of Bahawalpur district, optimum generation verses power demand, associated transmission losses, penalty factor and fuel cost economy are shown in the Results Section through graphs and tables. It is concluded that thermal power plant shares higher contribution of load power due to smaller distance from load and, thus, smaller transmission losses ensuring minimum cost operation.

Publisher

Walter de Gruyter GmbH

Reference20 articles.

1. [1] M. Afzal and M. K. Madhav, “Economic load dispatch and unit commitment solution using advanced optimization approach”, IJSRD - International Journal for Scientific Research & Development, vol. 6, no. 04, 2018.

2. [2] A. Bhardwaj, N. S. Tung and V. K. Kamboj, “Unit commitment in power system: A review”, International Journal of Electrical and Power Engineering, vol. 6, no. 1, pp. 51–57, 2012. https://doi.org/10.3923/ijepe.2012.51.5710.3923/ijepe.2012.51.57

3. [3] A. Ahmed Faraj, S. A. Baiyat and T. C. Cheng, “Economic load dispatch multiobjective optimization procedures using linear programming techniques”, IEEE Transactions on Power Systems, vol. 10, no. 2, pp. 731–738, 1995. https://doi.org/10.1109/59.38791010.1109/59.387910

4. [4] MEPCO electricity demand forecast based on power market survey, Twenty Fourth Issue. Prepared by MEPCO and Planning Power NTDC, May 2015.

5. [5] H. Saadat, Power system analysis. WCB/McGraw-Hill, 1999.

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