Optimal Placement and Sizing of DSTATCOM Using Harmony Search Algorithm

Yuvaraj, T.; Devabalaji, K.R.; Ravi, K.

doi:10.1016/j.egypro.2015.11.563

Cited by 127 publications

(76 citation statements)

References 11 publications

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“…The objective function and constraints are presented in this section. Objective function includes the following: a) Power loss: the first objective is minimization of the real power losses that can be described as Equation 19:…”

Section: Objective Functionmentioning

confidence: 99%

“…Immune algorithm was used as optimization tool. Harmony search algorithm was applied to optimal location and sizing of D‐STATCOM considering minimization of the total network losses in Yuvaraj et al Optimal location of D‐STATCOM is presented to loss reduction and power quality improvement using firefly algorithm in Farhoodnea et al This paper considered economical parameters. Optimal location and sizing of D‐STATCOM are considered to reduce power loss and improvement of voltage profile using PSO algorithm in Devi and Geethanjali .…”

Section: Introductionmentioning

confidence: 99%

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Optimal allocation of D-STATCOM and reconfiguration in radial distribution network using MOPSO algorithm in TOPSIS framework

Rezaeian‐Marjani

Talavat

Galvani

2018

Int Trans Electr Energ Syst

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Summary Performance improvement is an important challenge for distribution network (DN) operator in many aspects. On the other hand, progress of DN performance is very valuable by allocating the optimal cost. This paper considers simultaneously optimal allocation of D‐STATCOM and reconfiguration in order to decrease active power loss, improve voltage profile, and increase the loadability in radial DNs by economic considerations in a multi‐objective optimization framework. In order to make a decision from Pareto front solutions based on their attributives importance, a multi‐attribute decision making procedure, is used. This procedure is based on the technique for order performance by similarity to ideal solution. The proposed methodology has been evaluated on IEEE 33 node and IEEE 69 node radial DNs.

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Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal allocation of D-STATCOM and reconfiguration in radial distribution network using MOPSO algorithm in TOPSIS framework

Rezaeian‐Marjani

Talavat

Galvani

2018

Int Trans Electr Energ Syst

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“…Exhaustive search method is proposed to find the optimal size of D-STATCOM in RDS [12]. Recently many algorithms such as Harmony search algorithm [13], improved cat swarm optimization [14] and variational algorithm [15] are used for D-STATCOM placement in balanced RDS with an objective of improving voltage profile and reducing losses. Impact of load model on D-STATCOM placement is explained in [16].…”

Section: Introductionmentioning

confidence: 99%

Optimal placement of D-STATCOM using sensitivity approaches in mesh distribution system with time variant load models under load growth

Gupta

Kumar

2018

Ain Shams Engineering Journal

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In this paper, an approach for optimal placement of D-STATCOM in mesh distribution systems using sensitivity approaches is proposed. The main contributions of the paper are as follows: (i) Optimal D-STATCOM placement based on the new voltage sensitivity index in mesh distribution system, (ii) optimal D-STATCOM size determination for seasonal loads with load growth scenario, (iii) comparison of D-STATCOM placement and size determination with the existing sensitivity methods, and (iv) impact of optimal D-STATCOM placement on voltage stability margin enhancement, energy loss reduction and cost of energy savings.The results of voltage profile improvement, reduction in power losses, reduction in cost of energy loss, improved voltage stability margin, cost of energy loss savings, installation cost of D-STATCOM and annual savings are obtained for UK 38 bus practical mesh distribution system. Ó 2016 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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“…Various optimization techniques were reported in previous studies [39][40][41][42][43][44][45][46][47] and sensitivity-based techniques 41,42,47,48 were proposed by many authors to determine optimal location and rating of D-STATCOM in distribution systems to minimize power losses and improve voltage profile. Few researchers have studied D-STATCOM placement problem along with DG in previous studies 42,43,46,49 and reconfiguration of radial distribution systems in Fallahzadeh-Abarghouei et al 29 and Bai et al 37 Differential evolution (DE) algorithms were used in other studies 39,40,44 for optimal placement of D-STATCOM in distribution systems.…”

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confidence: 99%

Optimal coordinate control of OLTC, DG, D-STATCOM, and reconfiguration in distribution system for voltage control and loss minimization

Murty

Sharma

2018

Int Trans Electr Energ Syst

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Summary This paper presents optimal coordination and management of on‐load tap changer (OLTC), distribution static compensator (D‐STATCOM), distribution generation (DG), and reconfiguration to maximize annual cost savings and improve voltage profile using hybrid optimization. An analytical approach is developed to find optimal setting of OLTC. Optimal reconfiguration of the network is derived using genetic algorithm. Optimal location of DG and D‐STATCOM is determined using gravitational search algorithm, and optimal ratings are obtained using interface with MATLAB and GAMS environment. Fourteen realistic case studies are investigated in this paper work. In the first scenario, regulating devices are disabled to monitor the voltage profile and energy loss of the test system. In the remaining cases, influence of OLTC, DG, D‐STATCOM, and reconfiguration is independently and simultaneously studied. In the last scenario, OLTC, DG, D‐STATCOM, and reconfiguration are enabled to maintain voltage security and minimize power losses. Simulation results are obtained for IEEE 69‐bus test system and compared with other existing methods available in the literature. The proposed technique is reliable and efficient to obtain global optimal solution. Simulation results clearly indicate that optimal coordination and management among OLTC, DG, D‐STATCOM, and reconfiguration is required to maximize annual cost savings and maintain voltage at each node as per statutory requirements. Moreover, the analysis has been carried out for time‐varying distribution system with realistic load model.

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Optimal Placement and Sizing of DSTATCOM Using Harmony Search Algorithm

Cited by 127 publications

References 11 publications

Optimal allocation of D-STATCOM and reconfiguration in radial distribution network using MOPSO algorithm in TOPSIS framework

Optimal allocation of D-STATCOM and reconfiguration in radial distribution network using MOPSO algorithm in TOPSIS framework

Optimal placement of D-STATCOM using sensitivity approaches in mesh distribution system with time variant load models under load growth

Optimal coordinate control of OLTC, DG, D-STATCOM, and reconfiguration in distribution system for voltage control and loss minimization

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