Multi-area Economic Dispatch Using Improved Particle Swarm Optimization

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

doi:10.1016/j.egypro.2015.07.493

Multi-area Economic Dispatch Using Improved Particle Swarm Optimization

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

^*Corresponding author for this work

Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal

Research output: Contribution to journal › Conference article › peer-review

21 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 language	English
Pages (from-to)	1087-1092
Number of pages	6
Journal	Energy Procedia
Volume	75
DOIs	https://doi.org/10.1016/j.egypro.2015.07.493
Publication status	Published - 01-01-2015
Event	7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates Duration: 28-03-2015 → 31-03-2015

All Science Journal Classification (ASJC) codes

General Energy

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10.1016/j.egypro.2015.07.493

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title = "Multi-area Economic Dispatch Using Improved Particle Swarm Optimization",

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.",

author = "Jadoun, {Vinay K.} and Nikhil Gupta and Niazi, {K. R.} and Anil Swarnkar and Bansal, {R. C.}",

note = "Publisher Copyright: {\textcopyright} 2015 The Authors. Published by Elsevier Ltd.; 7th International Conference on Applied Energy, ICAE 2015 ; Conference date: 28-03-2015 Through 31-03-2015",

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AU - Jadoun, Vinay K.

AU - Gupta, Nikhil

AU - Niazi, K. R.

AU - Swarnkar, Anil

AU - Bansal, R. C.

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N2 - 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.

AB - 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.

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Multi-area Economic Dispatch Using Improved Particle Swarm Optimization

Abstract

All Science Journal Classification (ASJC) codes

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