Optimal sizing and deploying of distributed generation unit using a modified multiobjective Particle Swarm Optimization

Mahajan, Shreya; Vadhera, Shelly

doi:10.1109/icpes.2016.7584092

Cited by 10 publications

(6 citation statements)

References 13 publications

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“…e inverter wind turbine is used for simulation verification. e inverter wind turbine adopts PV control, and the power factor is about 0.9. ere are 10,11,12,13,14,15,16,17,18,19, and 20 buses that can be accessed to the wind turbine, but only 4 buses are allowed to access the wind turbine.…”

Section: Example Analysismentioning

confidence: 99%

“…Among them, the goal is to minimize the power loss of the system and to ensure the voltage status of the entire network bus. e authors in [10] use particle swarm optimization algorithm (PSO) to solve the problem. For the purpose of power system economy, the authors in [11] proposed an optical optimization algorithm (OIO) to improve the current problem.…”

Section: Introductionmentioning

confidence: 99%

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Research on Optimal Access Point and Capacity of Multiscenario Wind Turbine Based on Voltage Sag

Zhang

Liu³

et al. 2022

Mathematical Problems in Engineering

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Aiming at reducing the impact on sensitive loads and the economic losses caused by voltage sags in the distribution network containing wind turbines, a multiobjective mathematical model of the optimal access point and access capacity is established from the three perspectives of the basic costs of wind turbines, the economic losses of voltage sags, and the economic losses of the power grid. A scene generation method based on the similarity of wind curve changes and a scene reduction algorithm based on DPC & k-means are proposed to solve the mathematical problem of wind turbine uncertainty. Based on the analysis of the voltage sag of the distribution network containing wind turbines, the evaluation indicator of the voltage sag depth of the bus and the evaluation indicator of the economic loss of the voltage sag of the sensitive load are proposed. The simulation results of the IEEE 33-bus system show that the reasonable access of wind turbines can help reduce the power loss and voltage sag of the distribution network, thereby ensuring the safe and economical operation of the system.

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Section: Example Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Optimal Access Point and Capacity of Multiscenario Wind Turbine Based on Voltage Sag

Zhang

Liu³

et al. 2022

Mathematical Problems in Engineering

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“…In PSO, the potential solutions called particles fly through the problem space by pursuing the current optimal particles. Each particle keeps track of its coordinates in the problem space which are correlated with the best solution it has attained so far [7].…”

Section: B Particle Swarm Optimizationmentioning

confidence: 99%

“…In [5] and [6], the authors applied the Genetic Algorithms (GA) for DER allocation and sizing in order to improve the voltage profile and to reduce power losses. In [1], [7] and [8], the Particle Swarm Optimization (PSO) was used for the same purpose. In [9] and [10], only the DER allocation problem was performed using GA and PSO, respectively; however, the DER were assumed of the same size.…”

Section: Introductionmentioning

confidence: 99%

Optimized Allocation and Sizing of Distributed Energy Resource in Distribution Systems Using Cuckoo Search Algorithm

Ferraz¹,

Ferraz²,

Rueda-Medina³

et al. 2021

XIX Conferência De Estudos Em Engenharia Elétrica

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The Distributed Energy Resources (DER) emerged as an alternative to centralized generation since it presents numerous economic and operational benefits, such as, power loss reduction, voltage profile improvement, and relieved system's congestion. These benefits can be obtained by optimized sizing and placement of the DER; however, an improper DER integration can generate problems regarding the levels of current, voltage and power factor of the network. In this paper, the Cuckoo Search (CS) metaheuristic algorithm was applied to solve the allocation and sizing problem in IEEE 13 and 34 node test feeders in order to improve the voltage profile. The results were compared with the Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) with the purpose of validating the CS method. Finally, it was possible to conclude that CS algorithm presented satisfactory results, meeting all constraints regarding the amount of DER, voltage levels and operational limits.

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“…In addition, PSO had been convincingly implemented in power system researches and other engineering fields [11]. It was clearly shown that PSO performed better, faster and accurate in comparison to other methods [12]. The velocity equation of PSO was modified in [13] by addition of new terms and evaluation of difference in the global best and local best of particles.…”

Section: Introductionmentioning

confidence: 99%

Allocation of distributed generation and capacitor banks in distribution system

Olatunde

Rahman

2019

IJEECS

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<p>Voltage profile and power losses on the distribution system is a function of real and imaginary power loading condition. This can be effectively managed through the controlled real and reactive power flow by optimal placement of capacitor banks (CB) and distributed generators (DG). This paper presents adaptive Particle Swarm Optimization (MPSO) to efficiently tackle the problem of simultaneous allocation of DG and CB in radial distribution system to revamp voltage magnitude and reduce power losses. The modification to the conventional PSO was achieved by replacing the inertial weight equation (W) in the velocity update equation base on the particle best experience in the previous iteration. The inertial weight equation is designed to vary with respect to the iteration value in the algorithm. The proposed method was investigated on IEEE 30-bus, 33-bus and 69-bus test distribution systems. The results shows a significant improvement in the rate of convergence of APSO, improved voltage profile and loss reduction.</p>

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Optimal sizing and deploying of distributed generation unit using a modified multiobjective Particle Swarm Optimization

Cited by 10 publications

References 13 publications

Research on Optimal Access Point and Capacity of Multiscenario Wind Turbine Based on Voltage Sag

Research on Optimal Access Point and Capacity of Multiscenario Wind Turbine Based on Voltage Sag

Optimized Allocation and Sizing of Distributed Energy Resource in Distribution Systems Using Cuckoo Search Algorithm

Allocation of distributed generation and capacitor banks in distribution system

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