Multi-area economic dispatch with reserve sharing using dynamically controlled particle swarm optimization

Vinay Kumar Jadoun, Nikhil Gupta, K. R. Niazi, Anil Swarnkar

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

A dynamically controlled PSO (DCPSO) is proposed to solve Multi-area Economic Dispatch (MAED) problem with reserve sharing. The objective of MAED problem is to determine the optimal value of power generation and interchange of power through tie-lines interconnecting the areas in such a way that the total fuel cost of thermal generating units of all areas is minimized while satisfying operational and spinning reserve constraints. The control equation of the proposed PSO is augmented by introducing improved cognitive and social components of the particle's velocity. The parameters of the governing equation are dynamically controlled using exponential functions. The overall methodology effectively regulates the velocities of particles during their whole course of flight in such a way that results in substantial improvement of the performance of PSO. The effectiveness of the proposed method has been investigated on multi-area 4 generators, 40 generators and 140 generators test systems with multiple constraints such as reserve sharing and tie-line power. The application results show that the proposed DCPSO method is very promising for large-dimensional MAED problems.

Original languageEnglish
Pages (from-to)743-756
Number of pages14
JournalInternational Journal of Electrical Power and Energy Systems
Volume73
DOIs
Publication statusPublished - 22-06-2015

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Particle swarm optimization (PSO)
Economics
Exponential functions
Interchanges
Power generation
Costs

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

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abstract = "A dynamically controlled PSO (DCPSO) is proposed to solve Multi-area Economic Dispatch (MAED) problem with reserve sharing. The objective of MAED problem is to determine the optimal value of power generation and interchange of power through tie-lines interconnecting the areas in such a way that the total fuel cost of thermal generating units of all areas is minimized while satisfying operational and spinning reserve constraints. The control equation of the proposed PSO is augmented by introducing improved cognitive and social components of the particle's velocity. The parameters of the governing equation are dynamically controlled using exponential functions. The overall methodology effectively regulates the velocities of particles during their whole course of flight in such a way that results in substantial improvement of the performance of PSO. The effectiveness of the proposed method has been investigated on multi-area 4 generators, 40 generators and 140 generators test systems with multiple constraints such as reserve sharing and tie-line power. The application results show that the proposed DCPSO method is very promising for large-dimensional MAED problems.",
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Multi-area economic dispatch with reserve sharing using dynamically controlled particle swarm optimization. / Jadoun, Vinay Kumar; Gupta, Nikhil; Niazi, K. R.; Swarnkar, Anil.

In: International Journal of Electrical Power and Energy Systems, Vol. 73, 22.06.2015, p. 743-756.

Research output: Contribution to journalArticle

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