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Particle Swarm Optimization Application In Power System
Project Stage-II Report at Gec Jhalawar (2013)
  • Engineer Radhey Shyam, Meena
  • Deepa Sharma

The modern power system around the world has grown in complexity of interconnection and power demand. The focus has shifted towards enhanced performance, increased customer focus, low cost, reliable and clean power. In this changed perspective, scarcity of energy resources, increasing power generation cost, environmental concern necessitates optimal economic dispatch. In reality power stations neither are at equal distances from load nor have similar fuel cost functions. Hence for providing cheaper power, load has to be distributed among various power stations in a way which results in lowest cost for generation. Practical economic dispatch (ED) problems have highly non-linear objective function with rigid equality and inequality constraints. Particle swarm optimization (PSO) is applied to allot the active power among the generating stations satisfying the system constraints and minimizing the cost of power generated. The viability of the method is analyzed for its accuracy and rate of convergence. The economic load dispatch problem is solved for three and six unit system using PSO and conventional method for both cases of neglecting and including transmission losses. The results of PSO method were compared with conventional method and were found to be superior. The conventional optimization methods are unable to solve such problems due to local optimum solution convergence. Particle Swarm Optimization (PSO) since its initiation in the last 15 years has been a potential solution to the practical constrained economic load dispatch (ELD) problem. The optimization technique is constantly evolving to provide better and faster results. While writing the report on our project seminar, we were wondering that Science and smart technology are as ever expanding field and the engineers working hard day and night and make the life a gift for us

  • Particle swarm optimization (PSO),
  • economic load dispatch (ELD),
  • modern power system,
  • optimization method
Publication Date
Winter June 3, 2013
“This algorithm belongs ideologically to that philosophical school that allows wisdom to emerge rather than trying to impose it, that emulates nature rather than trying to control it, and that seeks to make things simpler rather than more complex.”Game-changing technologies coming • World energy portfolio will become more diverse, automated and integrated • New opportunities and business models will result … and the future is closer than we think
Citation Information
Engineer Radhey Shyam and Deepa Sharma. "Particle Swarm Optimization Application In Power System" Project Stage-II Report at Gec Jhalawar (2013)
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