An efficient hybrid method for solving the optimal sitting and sizing problem of DG and shunt capacitor banks simultaneously based on imperialist competitive algorithm and genetic algorithm

Moradi, Mohammad H.; Zeinalzadeh, Arash; Mohammadi, Younes; Abedini, Moein

doi:10.1016/j.ijepes.2013.06.023

Cited by 181 publications

(103 citation statements)

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“…According to this author, the optimal placement depends on objectives of distribution system's design. A new solution techniques for distribution expansion planning considering voltage stability, power losses and network voltage variations, the equality and inequality parameters are solved with Pareto Frontier Differential Evaluation algorithm by [30]. Author also compares the result with GA/ PSO and concludes that PFDE technique has higher potential in discovering solution than GA/PSO.…”

Section: Artificial Intelligencementioning

confidence: 99%

Optimal Configuration of DG in Distribution System: An Overview

Kumar

Nallagownden

Elamvazuthi

2016

MATEC Web of Conferences

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Abstract. Distributed generation (DG) has increased ever attention in the distribution system from last few years. The main reason for DG in distribution system is increasing electric demand, deregulated power system and congested transmission network, which eventually declines the system performance. There is also increasing pressure of greenhouse gas emissions. For proper utilization of DG, the optimal placement and sizing is of main concern. Because improper DG location and size will increase the losses and decrease the system performance than existing. On the contrary, proper placement will maintain voltage profile, reduce power loss, and increase voltage stability in the distribution system. This paper presents overview of DG, the advances in DG technology and different optimization methods used for optimal placement and sizing problem. The key issues and challenges offered in the development of DG is also presented in this paper.

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Section: Artificial Intelligencementioning

confidence: 99%

Optimal Configuration of DG in Distribution System: An Overview

Kumar

Nallagownden

Elamvazuthi

2016

MATEC Web of Conferences

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“…The optimal placement of DG in addition to reduction of active and reactive losses, improves voltage profile, increases reliability and network security and helps in lowering the harmonics and its adverse effects (such as the resonance phenomenon) [2][3][4]. Although the widespread use of DG units has affected the operation of the power system in the most desired way but still keeping in mind the limitations in size and power of the DG units (limited size of the DG units), its high installation and maintenance cost, these units can't be used on a much wider scale.…”

Section: Introductionmentioning

confidence: 99%

“…Although the widespread use of DG units has affected the operation of the power system in the most desired way but still keeping in mind the limitations in size and power of the DG units (limited size of the DG units), its high installation and maintenance cost, these units can't be used on a much wider scale. Therefore the usage of the capacitor banks for improving the operation of the power system becomes quite necessary [2]. Capacitor banks are low in cost and it is easier to have an access to them, moreover the reactive power injected by parallel capacitors plays an effective role in reducing losses, improving the voltage profile, freeing up the system capacity and improving the power factor [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…In [2] the improvement of voltage profile has been considered in addition to the reduction of the losses. [9][10][11] mentions the usage of sensitivity analysis in order to reduce the search space.…”

Section: Introductionmentioning

confidence: 99%

“…[9][10][11] mentions the usage of sensitivity analysis in order to reduce the search space. In [2,11,12] multi-level load has been taken into consideration and [8,13] considers the load to be constant throughout the day. The research that has been carried out commonly uses a constant power load, so the dependence of the load on the bus voltage has been neglected [14,15], this is despite the fact that in many real situations we have different types of load models such as the industrial, commercial and residential loads, these loads are closely associated with the bus voltage.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Simultaneous Biogeography based Optimal Placement of DG Units and Capacitor Banks in Distribution Systems with Nonlinear Loads

Sadeghi

Ghaffarzadeh

2016

Journal of Electrical Engineering

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This paper uses a new algorithm namely biogeography based optimization (BBO) intended for the simultaneous placement of the distributed generation (DG) units and the capacitor banks in the distribution network. The procedure of optimization has been conducted in the presence of nonlinear loads (a cause of harmonic injection). The purpose of simultaneous optimal placement of the DG and the capacitor is the reduction of active and reactive losses. The difference in the values of loss reduction at different levels of the load have been included in the objective function and the considered objective function includes the constraints of voltage, size and the number of DG units and capacitor banks and the allowable range of the total harmonic distortion (THD) of the total voltage in accordance with the IEEE 519 standards. In this paper the placement has been performed on two load types ie constant and mixed power, moreover the effects of load models on the results and the effects of optimal placement on reduction of the THD levels have also been analyzed. The mentioned cases have been studied on a 33 bus radial distribution system.

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Estimating the impact of uncertainty on optimum capacitor placement in wind‐integrated radial distribution system

Das

Malakar

2020

Int Trans Electr Energ Syst

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The unpredictable load variations and raising presence of wind farms have caused modern-day distribution system operation and planning extremely complex. This paper puts an earliest effort toward the optimal allocation of the shunt capacitors in radial distribution system (RDS) under uncertain load and wind power generation. The authors aim to minimize the annual operating cost (AOC) for RDS by deciding the optimum placements of shunt capacitors. Here, three-point estimate method is applied to estimate the uncertainties in the load demand and power output from the wind generator. The stochastic behavior of wind generators and load demands are modeled by using Weibull and normal distribution functions, respectively. An opposition-based competitive swarm optimizer (OCSO) algorithm is applied to minimize the AOC, and the optimization problem is solved for both probabilistic and deterministic approach. The Cornish-Fisher expansion is used in this work to provide more accurate probability distribution functions of AOC. Furthermore, the impact of VAr injection on AOC values and power losses are also studied in this work. Moreover, the results obtained from the OCSO algorithm are compared with the original competitive swarm optimizer results. The proposed problem is tested on 69 bus RDS with different loading conditions, and results are analyzed for each scenario.competitive swarm optimizer, load uncertainty, optimum capacitor allocation, point estimate method, wind generation uncertainty | INTRODUCTIONShunt capacitors (SC) are being used in power distribution system (DS) conventionally to reduce power loss, improve the system voltage, and power factor. The power loss in DS is higher than that of the transmission system because of its List of Symbols and Abbreviations: V W , wind speed; P WT , power output of WGS; Pr, rated power output of WGS; Vr, rated wind speed; Vci, cut-in wind speed; Vco, cut-out wind speed;V w , mean of the wind speed; σ w , SD of the wind speed; P Li , real power demand at the bus "i"; Q Li , reactive power demand at the bus "i"; μ PLi , mean of real power demand; μ QLi , mean of reactive power demand; σ PLi , SD of real power demand; σ QLi , SD of reactive power demand; P μ loss , mean active power loss; Q μ ci, , mean VAr supply cost; nl, number of branches; cb, number of candidate bus; nb, number of load bus; P ss , real power of the substation bus; Q ss , reactive power of the substation bus; P μ w , mean power output from WGS; Q μ ci , mean VAr injection at bus "i"; P μ di , mean demands for real power at bus "i"; Q μ di , mean demands for reactive power at bus "i"; P μ lossj , mean real power loss at branch "j"; Q μ lossj , mean reactive power loss at branch "j"; Q cn , VAr injection at bus "n"; Q cn min , minimum values of Q cn ; Q cn max , maximum values of Q cn ; S li , complex power flow through line "i"; S li max , maximum line limit through line "i".

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An efficient hybrid method for solving the optimal sitting and sizing problem of DG and shunt capacitor banks simultaneously based on imperialist competitive algorithm and genetic algorithm

Cited by 181 publications

References 21 publications

Optimal Configuration of DG in Distribution System: An Overview

Optimal Configuration of DG in Distribution System: An Overview

A Simultaneous Biogeography based Optimal Placement of DG Units and Capacitor Banks in Distribution Systems with Nonlinear Loads

Estimating the impact of uncertainty on optimum capacitor placement in wind‐integrated radial distribution system

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