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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIR1812957

Page Number

379-385

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Title

Multi objective Economic and Emission Dispatch in Multi Machine System Using Modified Particle Swarm Optimization

ISSN

2349-5162

Cite This Article

"Multi objective Economic and Emission Dispatch in Multi Machine System Using Modified Particle Swarm Optimization ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.379-385, December-2018, Available :http://www.jetir.org/papers/JETIR1812957.pdf

Abstract

The ELD is a tool that can dispatch the gen set output to operate the power system most economically according to specified load requirements. In other words, we can say that the main goal of economic load scheduling is to optimize all system constraints. At the same time, various generator sets are distributed at the lowest possible operating cost. The input/output characteristics of modern units are inherently highly non-linear (with valve point effects, rate limiting, etc.) and have multiple local minimum points in the cost function. In this regard, random search algorithms such as (GA), (ES), (EP), (PSO) can prove that (SA) is very effective in solving highly nonlinear ELD problems, and the shape is not limited. Cost curve. (GA) is a soft computing technique used to find exact or approximate solutions to optimization and search problems. Genetic algorithms are classified as global search heuristics. An algorithm to get the best solution to the optimization problem. The individual's performance is evaluated by the fitness function (ie, the objective function) and the problem is minimized, in which case particles with lower values have higher performance. The best experience for each particle in the iteration is stored in its memory, called Personal Best (Pbest). The best value of Pbest (minimum) in the iteration determines the global best value (Gbest).

Key Words

Economic Load Dispatch (ELD),Genetic algorithms (GA), Evolutionary strategies (ES), Evolutionary programming (EP), Particle swarm optimization (PSO)

Cite This Article

"Multi objective Economic and Emission Dispatch in Multi Machine System Using Modified Particle Swarm Optimization ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp379-385, December-2018, Available at : http://www.jetir.org/papers/JETIR1812957.pdf

Publication Details

Published Paper ID: JETIR1812957
Registration ID: 194134
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.20157
Page No: 379-385
ISSN Number: 2349-5162

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Cite This Article

"Multi objective Economic and Emission Dispatch in Multi Machine System Using Modified Particle Swarm Optimization ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp379-385, December-2018, Available at : http://www.jetir.org/papers/JETIR1812957.pdf




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