2014
DOI: 10.1002/cplx.21567
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Solving a novel multiobjective placement problem of recloser and distributed generation sources in simultaneous mode by improved harmony search algorithm

Abstract: This article deals with optimal placement of Distributed Generation (DG) sources and recloser in simultaneous mode and develops an improved harmony search (iHS) algorithm to solve it. For this, two important control parameters have been adjusted to reach better solution from simple HS algorithm to obtain better solution from simple HS algorithm. The proposed multiobjective function consists of two parts; first is improving reliability indices and second is minimizing power loss. The reliability indices have be… Show more

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Cited by 56 publications
(28 citation statements)
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“…However, the considered optimization problem will be more practical and useful if other popular electricity sources such wind farms [67] and distributed generators [68] as well as maintenance policies of electricity power networks during operation process [69] are taken into account. Thus, our future work is to construct and apply the proposed IFA and other potential algorithms for solving the new problem of power system optimization operation.…”
Section: Discussionmentioning
confidence: 99%
“…However, the considered optimization problem will be more practical and useful if other popular electricity sources such wind farms [67] and distributed generators [68] as well as maintenance policies of electricity power networks during operation process [69] are taken into account. Thus, our future work is to construct and apply the proposed IFA and other potential algorithms for solving the new problem of power system optimization operation.…”
Section: Discussionmentioning
confidence: 99%
“…Multitude researches have investigated the microgrid operation with various [4][5][6] distributed generations (DGs) Optimized coordinated power dispatch approach for a microgrid (MG) scheduling 7 Optimal method with high robustness for MG 8 Stochastic planning scheme for 24 h scheduling for an MG 9 Optimization method for reduction of whole expenditure in an MG 8 Multiobjective optimization methods by assuming expenditure, emission, etc 10,11 Multiobjective optimization for economic dispatch for microgrid with reliability 12 Management method for renewable sources 13 Hybrid-integer nonlinear approach for MG scheduling for achieving upper photovoltaic power 14 Smart power management of microgrid using artificial intelligence methods 15 Cost-effective combined heat and power dispatch with heat/energy reliance features [16][17][18][19] Demand response (DR) problem that can optimize the scheduling using optimization algorithm 20 DR program on stochastic power provided to big users by green resources 21,22 Other models [23][24][25] The considered MO optimization is handled in this work using an epsilon limitation approach. A fuzzy satisfying method is utilized for opting the best conciliation answer, and DRP is exerted to decrease the operation expenditure.…”
Section: Methods Referencementioning
confidence: 99%
“…Due to the good performance of fuel cells (FCs), the MGs and FC can be integrated. 23 Hydrogen can be produced and be saved in storage system. 24 Once the energy requirement is low respect to delivered energy, the hydrogen is produced by FCs.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to, Eqs. and show minimum and maximum domain for voltage magnitude and reactive power of the i th transmission line . Constraints 3: Line flow constraintsOne important constrain of EED problem is determinate of constrain of line, because any line have a limit capability for current power, the limit can checking after load flow for power system. It constrains can model with Eq.…”
Section: Problem Formulationmentioning
confidence: 99%