Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models

The optimal reactive power dispatch (ORPD) is a very important problem aspect of power system planning and is a highly nonlinear, non-convex optimization problem because consist of both continuous and discrete control variables. Since the power system has inherent uncertainty, hereby, this paper pre...

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Main Authors: Kh. Valipour, A. Ghasemi
Format: Article
Language:English
Published: Shahrood University of Technology 2017-03-01
Series:Journal of Artificial Intelligence and Data Mining
Subjects:
Online Access:http://jad.shahroodut.ac.ir/article_655_f0051208c12c031eaf73031604e005be.pdf
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author Kh. Valipour
A. Ghasemi
author_facet Kh. Valipour
A. Ghasemi
author_sort Kh. Valipour
collection DOAJ
description The optimal reactive power dispatch (ORPD) is a very important problem aspect of power system planning and is a highly nonlinear, non-convex optimization problem because consist of both continuous and discrete control variables. Since the power system has inherent uncertainty, hereby, this paper presents both of the deterministic and stochastic models for ORPD problem in multi objective and single objective formulation, respectively. The deterministic model consider three main issues in ORPD problem as real power loss, voltage deviation and voltage stability index, but, in the stochastic model the uncertainty on the demand and the equivalent availability of shunt reactive power compensators have been investigated. To solve them, propose a new modified harmony search algorithm (HSA) which implemented in single and multi objective forms. Since, like many other general purpose optimization methods, the original HSA often traps into local optima, to aim with this cope, an efficient local search method called chaotic local search (CLS) and global search operator are proposed in the internal architecture of the original HSA algorithm to improve its ability in finding of best solution because ORPD problem is very complex problem with different types of continuous and discrete constrains i.e. excitation settings of generators, sizes of fixed capacitors, tap positions of tap changing transformers and the amount of reactive compensation devices. Moreover, fuzzy decision-making method is employed to select the best solution from the set of Pareto solutions.
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spelling doaj.art-21a862ee96464a84914adfe64d1dbd1c2022-12-22T02:15:20ZengShahrood University of TechnologyJournal of Artificial Intelligence and Data Mining2322-52112322-44442017-03-01518910010.22044/jadm.2016.655655Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic modelsKh. Valipour0A. Ghasemi1Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran.Technical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran.The optimal reactive power dispatch (ORPD) is a very important problem aspect of power system planning and is a highly nonlinear, non-convex optimization problem because consist of both continuous and discrete control variables. Since the power system has inherent uncertainty, hereby, this paper presents both of the deterministic and stochastic models for ORPD problem in multi objective and single objective formulation, respectively. The deterministic model consider three main issues in ORPD problem as real power loss, voltage deviation and voltage stability index, but, in the stochastic model the uncertainty on the demand and the equivalent availability of shunt reactive power compensators have been investigated. To solve them, propose a new modified harmony search algorithm (HSA) which implemented in single and multi objective forms. Since, like many other general purpose optimization methods, the original HSA often traps into local optima, to aim with this cope, an efficient local search method called chaotic local search (CLS) and global search operator are proposed in the internal architecture of the original HSA algorithm to improve its ability in finding of best solution because ORPD problem is very complex problem with different types of continuous and discrete constrains i.e. excitation settings of generators, sizes of fixed capacitors, tap positions of tap changing transformers and the amount of reactive compensation devices. Moreover, fuzzy decision-making method is employed to select the best solution from the set of Pareto solutions.http://jad.shahroodut.ac.ir/article_655_f0051208c12c031eaf73031604e005be.pdfReactive power dispatchModified HSAMulti objectiveSystem stabilitystochastic model
spellingShingle Kh. Valipour
A. Ghasemi
Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models
Journal of Artificial Intelligence and Data Mining
Reactive power dispatch
Modified HSA
Multi objective
System stability
stochastic model
title Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models
title_full Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models
title_fullStr Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models
title_full_unstemmed Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models
title_short Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models
title_sort using a new modified harmony search algorithm to solve multi objective reactive power dispatch in deterministic and stochastic models
topic Reactive power dispatch
Modified HSA
Multi objective
System stability
stochastic model
url http://jad.shahroodut.ac.ir/article_655_f0051208c12c031eaf73031604e005be.pdf
work_keys_str_mv AT khvalipour usinganewmodifiedharmonysearchalgorithmtosolvemultiobjectivereactivepowerdispatchindeterministicandstochasticmodels
AT aghasemi usinganewmodifiedharmonysearchalgorithmtosolvemultiobjectivereactivepowerdispatchindeterministicandstochasticmodels