Multi-area Economic Dispatch Using Improved Particle Swarm Optimization

Vinay K. Jadoun, Nikhil Gupta, K. R. Niazi, Anil Swarnkar, R. C. Bansal

Research output: Contribution to journalConference article

10 Citations (Scopus)

Abstract

This paper presents improved PSO (IPSO) to solve Multi Area Economic Dispatch (MAED) problem. The objective of MAED problem is to determine the optimal value of power generation and interchange of power through tie-lines interconnecting areas in such a way that total fuel cost of thermal generating units of all areas is minimized while satisfying operational constraints. The control equation of the proposed PSO is modified by suggesting improved cognitive component of the particle's velocity by suggesting preceding experience. The operating parameters of the control equation are also modified to maintain a better balance between cognitive and social behavior of the swarm. The effectiveness of the proposed method has been tested on four areas, 40 generators test system. The application results show that IPSO is very promising to solve large-dimensional MAED problem.

Original languageEnglish
Pages (from-to)1087-1092
Number of pages6
JournalEnergy Procedia
Volume75
DOIs
Publication statusPublished - 01-01-2015
Event7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates
Duration: 28-03-201531-03-2015

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Particle swarm optimization (PSO)
Economics
Interchanges
Power generation
Costs
Hot Temperature

All Science Journal Classification (ASJC) codes

  • Energy(all)

Cite this

Jadoun, Vinay K. ; Gupta, Nikhil ; Niazi, K. R. ; Swarnkar, Anil ; Bansal, R. C. / Multi-area Economic Dispatch Using Improved Particle Swarm Optimization. In: Energy Procedia. 2015 ; Vol. 75. pp. 1087-1092.
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Multi-area Economic Dispatch Using Improved Particle Swarm Optimization. / Jadoun, Vinay K.; Gupta, Nikhil; Niazi, K. R.; Swarnkar, Anil; Bansal, R. C.

In: Energy Procedia, Vol. 75, 01.01.2015, p. 1087-1092.

Research output: Contribution to journalConference article

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