Optimal reactive power dispatch using particle swarm optimization in deregulated environment

Patel, Nilesh K.; Suthar, Bhuvneshwer

doi:10.1109/eesco.2015.7253909

Cited by 9 publications

(3 citation statements)

References 16 publications

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“…The particle swarm optimization algorithm (PSO) was discovered by James Kennedy and Russell C. Eberhart in 1995 [13,14]. This algorithm is inspired by simulation of social psychological expression of birds and fish.…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

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Particle Swarm Optimization Based Optimal Reactive Power Dispatch for Power Distribution Network with Distributed Generation

Oo¹

2017

IJEPE

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Abstract:Reactive power dispatch plays a main role in order to provide good facility secure and economic operation in the power system. Optimal reactive power dispatch (ORPD) is a nonlinear optimization problem and has both equality and inequality constraints. ORPD is defined as the minimization of active power loss by controlling a number of variables. Due to complex characteristics of ORPD, heuristic optimization has become an efficient solver. In this paper, particle swarm optimization (PSO) algorithm and MATPOWER toolbox are applied to solve the ORPD problem for distribution system with distributed generating (DG) plant. The proposed method minimizes the active power loss in a practical power system as well as determines the optimal placement of a new installed DG. The practical 41-bus, 6-machine power distribution network of Myingyan area is used to evaluate the performance. The result shows that the adjustment of control variables of distribution power network with a new DG gives a better approach than adjustment only the control variables without DG.

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Section: Particle Swarm Optimizationmentioning

confidence: 99%

“…The bus voltage magnitudes are maintained within 0.9 to 1.1 p.u. Table 2 shows the penalty factors of the fitness function used in (13). The basic parameters of PSO algorithm are shown in Table 3.…”

Section: Parameters Of Pso Based Orpdmentioning

confidence: 99%

Particle Swarm Optimization Based Optimal Reactive Power Dispatch for Power Distribution Network with Distributed Generation

Oo¹

2017

IJEPE

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“…Since it is highly related to the way how the active and reactive power flow through a give grid topology, the optimal reactive power management is a particular form of optimal power flow (OPF) and a subject of remarkable research, which has immense significance on the security and economical operation of the power systems (e.g. by minimizing losses and ensuring fulfilment of technical constraints) [5], such as the control and optimization for operation of wind power plants [6]. This paper proposes an approach that involves coordinated management of reactive sources based on an OPF formulation that accounts for non-linear power flow equations.…”

Section: Introductionmentioning

confidence: 99%

Optimal management of reactive power sources in far-offshore wind power plants

Theologi

Ndreko

Rueda

et al. 2017

2017 IEEE Manchester PowerTech

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Optimal Reactive Power Dispatch Using Chaotic Bat Algorithm

Mugemanyi

Rugema

et al. 2020

IEEE Access

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In this paper, the chaotic bat algorithm (CBA) is applied to solve the optimal reactive power dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale power systems. ORPD plays a key role in the power system operation and control. The ORPD problem is formulated as a mixed integer nonlinear programming problem, comprising both continuous and discrete control variables. The most outstanding benefit of the bat algorithm (BA) is its good convergence for optimal solutions. The BA, however, together with other metaheuristics, often gets stuck into local optima and in order to cope with this shortcoming, the use of the CBA is proposed in this paper. The CBA results from introducing the chaotic sequences into the standard BA to enhance its global search ability. The CBA is utilized to find the optimal settings of generator bus voltages, tap setting transformers and shunt reactive power sources. Three objective functions such as minimization of active power loss, total voltage deviations and voltage stability index are considered in this study. The effectiveness of the CBA technique is demonstrated for standard IEEE 14-bus, IEEE 39 New England bus, IEEE 57-bus, IEEE 118-bus and IEEE 300-bus test systems. The results yielded by the CBA are compared with other algorithms available in the literature. Simulation results reveal the effectiveness and robustness of the CBA for solving the ORPD problem. INDEX TERMS Chaotic bat algorithm, optimal reactive power dispatch, chaotic sequences.

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Optimal reactive power dispatch using particle swarm optimization in deregulated environment

Cited by 9 publications

References 16 publications

Particle Swarm Optimization Based Optimal Reactive Power Dispatch for Power Distribution Network with Distributed Generation

Particle Swarm Optimization Based Optimal Reactive Power Dispatch for Power Distribution Network with Distributed Generation

Optimal management of reactive power sources in far-offshore wind power plants

Optimal Reactive Power Dispatch Using Chaotic Bat Algorithm

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