Siting and Sizing of Distributed Generation and Shunt Capacitor Banks in Radial Distribution System Using Constriction Factor Particle Swarm Optimization

Balu, Korra; Mukherjee, V.

doi:10.1080/15325008.2020.1797935

Cited by 49 publications

(28 citation statements)

References 31 publications

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“…Adaptive PSO [269], exponential decay PSO (EDPSO) [270], PSO with chaos theory [271], hybrid PSO and gravitational search algorithm (PSO-CGSA) [243] Power System controllers Hybrid PSO-pattern search [244], PSO with Pade approximation [245] Capacitor Placement Constriction factor PSO [272], hybrid PSO [247] Generation expansion problem Comprehensive learning PSO [273], fuzzy adaptive chaotic binary PSO [274] Power system reliability and security…”

Section: State Estimationmentioning

confidence: 99%

Particle Swarm Optimization: A Comprehensive Survey

et al. 2022

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Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the literature. Although the original PSO has shown good optimization performance, it still severely suffers from premature convergence. As a result, many researchers have been modifying it resulting in a large number of PSO variants with either slightly or significantly better performance. Mainly, the standard PSO has been modified by four main strategies: modification of the PSO controlling parameters, hybridizing PSO with other well-known meta-heuristic algorithms such as genetic algorithm (GA) and differential evolution (DE), cooperation and multi-swarm techniques. This paper attempts to provide a comprehensive review of PSO, including the basic concepts of PSO, binary PSO, neighborhood topologies in PSO, recent and historical PSO variants, remarkable engineering applications of PSO, and its drawbacks. Moreover, this paper reviews recent studies that utilize PSO to solve feature selection problems. Finally, eight potential research directions that can help researchers further enhance the performance of PSO are provided.

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Section: State Estimationmentioning

confidence: 99%

Particle Swarm Optimization: A Comprehensive Survey

et al. 2022

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“…Further, they show an unstable performance depending on the problem type and the designers' experience [5,9,11]. Considering all these, a holistic review of several state-of-the-art works of literature related to the site and size of DGs and CBs in the radial distribution systems (RDS) is briefly presented in Table 1 for ready reference to the readers [9,13,14]. Table 1.…”

Section: Literature Surveymentioning

confidence: 99%

A Novel Multiobjective Hybrid Technique for Siting and Sizing of Distributed Generation and Capacitor Banks in Radial Distribution Systems

et al. 2021

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Distributed generation (DG) and capacitor bank (CB) allocation in distribution systems (DS) has the potential to enhance the overall system performance of radial distribution systems (RDS) using a multiobjective optimization technique. The benefits of CB and DG injection in the RDS greatly depend on selecting a suitable number of CBs/DGs and their volume along with the finest location. This work proposes applying a hybrid enhanced grey wolf optimizer and particle swarm optimization (EGWO-PSO) algorithm for optimal placement and sizing of DGs and CBs. EGWO is a metaheuristic optimization technique stimulated by grey wolves. On the other hand, PSO is a swarm-based metaheuristic optimization algorithm that finds the optimal solution to a problem through the movement of the particles. The advantages of both techniques are utilized to acquire mutual benefits, i.e., the exploration ability of the EGWO and the exploitation ability of the PSO. The proposed hybrid method has a high convergence speed and is not trapped in local optimal. Using this hybrid method, technical, economic, and environmental advantages are enhanced using multiobjective functions (MOF) such as minimizing active power losses, voltage deviation index (VDI), the total cost of electrical energy, and total emissions from generation sources and enhancing the voltage stability index (VSI). Six different operational cases are considered and carried out on two standard distribution systems, namely, IEEE 33- and 69-bus RDSs, to demonstrate the proposed scheme’s effectiveness extensively. The simulated results are compared with existing optimization algorithms. From the obtained results, it is observed that the proposed EGWO-PSO gives distinguished enhancements in multiobjective optimization of different conflicting objective functions and high-level performance with global optimal values.

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“…The VDI for any distribution network is defined as the sum of the squared value of the absolute voltage difference between the nominal voltage and the actual voltage for all buses in the system, Equation (12). 14 The second objective of this study is to minimize the VDI, Equation ( 13)…”

Section: Voltage Deviation Indexmentioning

confidence: 99%

An efficient framework for integrating distributed generation and capacitor units for simultaneous grid‐connected and islanded network operations

Leghari

Hassan

Said

et al. 2021

Intl J of Energy Research

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This paper proposes a two-stage planning approach for the efficient utilization of distributed generation (DG) and capacitor banks (CBs) for the simultaneous grid-connected and islanded operations of the balanced distribution networks.The first stage determines the optimal installation locations and capacities of DGs and CBs using an improved variant of the Jaya optimization algorithm (IJaya) to minimize the power losses and voltage deviation during the gridconnected operation of the distribution network. The second stage identifies the optimal operating point of the DG and CB combination to carry the maximum load during the islanded network operation under power supply-demand imbalance conditions. For the second stage, an analytical approach is proposed to identify the best operating power factor for the DG-CB combination, calculating the power loss, and under-utilization of the installed real-reactive power sources. Simulation results on the IEEE 33-bus grid-dependent distribution network demonstrate that the proposed IJaya significantly improved the network performance and outperforms various existing optimization methods. In addition, during the network's islanded operation, maintaining the network power factor equal to the source power factor (pf source ) makes the DG-CB combination operate at their rated capacities.

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Siting and Sizing of Distributed Generation and Shunt Capacitor Banks in Radial Distribution System Using Constriction Factor Particle Swarm Optimization

Cited by 49 publications

References 31 publications

Particle Swarm Optimization: A Comprehensive Survey

Particle Swarm Optimization: A Comprehensive Survey

A Novel Multiobjective Hybrid Technique for Siting and Sizing of Distributed Generation and Capacitor Banks in Radial Distribution Systems

An efficient framework for integrating distributed generation and capacitor units for simultaneous grid‐connected and islanded network operations

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