Particle Swarm Optimization with Time Varying Acceleration Coefficients for Solving Economic Load Dispatch Problem

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 651

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شناسه ملی سند علمی:

ETEC05_054

تاریخ نمایه سازی: 19 اردیبهشت 1395

چکیده مقاله:

The Particle Swarm Optimization with Time Varying Acceleration Coefficients (PSOTVAC) is proposed in this paper to solve Economic Load Dispatch (ELD) with various generator constraints in power systems. Actually the proposed problem is considered as an optimization problem. The basic objective of ELD of electric power generation is to schedule the committed generating unit outputs, so as to meet the load demand at minimum operating cost while satisfying all unit and system equality and inequality constraint. For practical generator operation, many nonlinear constraints of the generator, such as ramp rate limits, prohibited operating zone, generation limits, transmission line loss and non-smooth cost functions are all considered using the proposed technique. The proposed algorithm applied on different test standard power system. The effectiveness of the proposed method is compared with other heuristic algorithms. Results showed the efficiency of the proposed algorithm

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نویسندگان

hossein ghadimi

Ardebil Province Electricity Distribution Co, Ardabil, Iran

adel akbarimajd

Electrical Engineering Department, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil

noradin ghdimi

Young Researchers and Elite club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

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  • A. Bhattacharya, P. K. Chattopad hyay, Solving complex economic load ...
  • N. Sinha, R. Chakrabarti, P. K. Chattopad hyay, Evolutionary programming ...
  • C. A. Roa-Sepu Iveda and B. J. Pavez-Lazo, A Solution ...
  • M. A. Abido, Optimal Power Flow Using Tabu Search Algorithm. ...
  • H. C. Leung, T. S. Chung, Optimal Power Flow with ...
  • A. G. Bakirtis, P. N. Biskas, C. E. Zoumas, V. ...
  • W. Ongsakul, P. Bhasaputra, Optimal Power Flow with FACTS Devices ...
  • J. Yuryevich, K. P. Wong, Evolutionary Programming Based Optimal Power ...
  • W. Ongsakul, K. Ta ngpatiphan, Optimal Power Flow with TCSC ...
  • AT. Al-Awami, YL. Abdel-Magid, MA. Abido. "A pa rticle-swarm based ...
  • _ Sudhakaran, D. Ajay, P. Vimalraj, T. G. Palanivelu, GA ...
  • LS. Coelho, VC. Mariani. Economic dispatch optimization using hybrid chaotic ...
  • K. T. Chaturvedi, M. Pandit, L. Srivastava, Self organizing hierarchical ...
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