Optimal reactive power dispatch using a gravitational search algorithm

Duman, Serhat; Sönmez, Yusuf; Güvenç, Uğur; Yörükeren, Nuran

doi:10.1049/iet-gtd.2011.0681

Cited by 223 publications

(164 citation statements)

References 25 publications

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“…The position of the mass corresponds to a solution of the problem, and its gravitational and inertial masses are determined using a fitness function [56,57].In other words, each mass presents a solution, and the algorithm is navigated by properly adjusting the gravitational and inertia masses. By lapse of time, we expect that masses be attracted by the heaviest mass.…”

Section: Gravitational Search Algorithmmentioning

confidence: 99%

“…Differential harmony search (DHS) [43] and adaptive PSO (APSO) [44] were proposed to solve OPF problems. Computational intelligent-based techniques, such as genetic algorithm (GA) [45], improved GA [46], real parameter GA [47], adaptive GA [48], evolutionary programming (EP) [49], particle swarm optimization(PSO) [50], hybrid PSO [51], bacterial foraging optimization(BFO) [52], differential evolution (DE) [53][54][55], seeker optimization algorithm (SOA) [56], gravitational search algorithm (GSA) [57], etc, have been applied for solving ORPD problem. These techniques have shown effectiveness in overcoming the disadvantages in traditional methods.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Transmission Loss allocation with Optimal Power Flow using Gravitational Search Algorithm

Rao¹,

Rao²,

Sivanagaraju³

2014

International Journal of Innovative Research in Electrical, Ele

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Abstract:In deregulated power systems, the transmission loss allocation plays a key role in planning and designing of the power system. In practice, these losses should be allocated to both generators and loads depending on the amount of contribution in the total power system losses. In this paper, a new methodology to optimally allocate the transmission losses to either generators or loads based on the power flow tracing methodology is presented. In this methodology, trace usage coefficients are formulated to allocate transmission losses. In real time, system operator tries to minimize the transmission losses to increase the security of the system. In this paper, for the sack of analysis, the formulated OPF problem with transmission losses as objective is solved while satisfying system constraints using gravitational search algorithm. The minimized transmission losses are then allocated to either generators or loads. The proposed methodology is tested on standard IEEE-30 bus and real time Indian-24 bus test systems with supporting numerical results.

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Section: Gravitational Search Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transmission Loss allocation with Optimal Power Flow using Gravitational Search Algorithm

Rao¹,

Rao²,

Sivanagaraju³

2014

International Journal of Innovative Research in Electrical, Ele

View full text Add to dashboard Cite

show abstract

“…proposed to solve the ORPD problem, such as genetic algorithms (GA) [6], evolutionary algorithms (EP) [7], particle Swarm optimization (PSO) [8], differential evolution (DE) [9], seeker optimization algorithm (SOA) [10], gravitational search algorithm (GSA) [11], and biogeography based optimization (BBO) [12]. But these heuristic methods only result in a single optimal solution.…”

Section: Journal Of Electrical and Computer Engineeringmentioning

confidence: 99%

“…Due to the space limitation, the final optimal settings of 75 decision variables are not given in Table 6. For more validation, the obtained results are compared with GPAC [42], CA [42], and PSO with differentially perturbed velocity hybrid algorithm with adaptive acceleration coefficient (APSODV) [44], BBO [12], GSA [11], and OGS [45], which are summarized in Table 7. The comparison results show that the proposed HMOPSO can yield better solutions than other reported approaches.…”

Section: Ieee 118-bus Power Systemmentioning

confidence: 99%

Application of Hybrid MOPSO Algorithm to Optimal Reactive Power Dispatch Problem Considering Voltage Stability

Zeng

Sun

2014

Journal of Electrical and Computer Engineering

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This study presents a novel hybrid multiobjective particle swarm optimization (HMOPSO) algorithm to solve the optimal reactive power dispatch (ORPD) problem. This problem is formulated as a challenging nonlinear constrained multiobjective optimization problem considering three objectives, that is, power losses minimization, voltage profile improvement, and voltage stability enhancement simultaneously. In order to attain better convergence and diversity, this work presents the use of combing the classical MOPSO with Gaussian probability distribution, chaotic sequences, dynamic crowding distance, and self-adaptive mutation operator. Moreover, multiple effective strategies, such as mixed-variable handling approach, constraint handling technique, and stopping criteria, are employed. The effectiveness of the proposed algorithm for solving the ORPD problem is validated on the standard IEEE 30-bus and IEEE 118-bus systems under nominal and contingency states. The obtained results are compared with classical MOPSO, nondominated sorting genetic algorithm (NSGA-II), multiobjective evolutionary algorithm based on decomposition (MOEA/D), and other methods recently reported in the literature from the point of view of Pareto fronts, extreme, solutions and multiobjective performance metrics. The numerical results demonstrate the superiority of the proposed HMOPSO in solving the ORPD problem while strictly satisfying all the constraints.

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“…Therefore, a reasonable reactive power control strategy that minimizes the RPI between the 1000 and 500 kV grids should be developed. In recent years, researchers have made wide and in-depth studies on the reactive power optimization technique [2][3][4][5][6][7]. However, the reactive power control strategy of UHVAC projects is rarely discussed.…”

Section: Introductionmentioning

confidence: 99%

Study of the reactive power control for a real UHVAC power transmission project

Miao

Cheng

Yao

2014

Int. Trans. Electr. Energ. Syst.

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SUMMARYThe reactive power compensation mode used for the present commercial ultra-high-voltage alternating current power transmission system could not entirely meet the requirements of reactive power balance. The reactive power interchange (RPI) between the ultra-high-voltage (1000 kV) power grid and the 500 kV power grid would impact on the reactive power control strategy.In this paper, an in-depth analysis of the relationship between the RPI and the voltage modulus ratio (VMR) of the sending side to the receiving end is executed. It is proved that the RPI could be expressed as a function of the VMR.An optimal minimized RPI (MRPI) control strategy that minimizes the RPI while satisfying the steady state over-voltage restriction is proposed. To solve the optimal problem, the immune genetic algorithm is used in this work. By practical calculation examples, the MRPI control strategy's feasibility and validity under various operation modes in East China Grid is validated.

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Optimal reactive power dispatch using a gravitational search algorithm

Cited by 223 publications

References 25 publications

Transmission Loss allocation with Optimal Power Flow using Gravitational Search Algorithm

Transmission Loss allocation with Optimal Power Flow using Gravitational Search Algorithm

Application of Hybrid MOPSO Algorithm to Optimal Reactive Power Dispatch Problem Considering Voltage Stability

Study of the reactive power control for a real UHVAC power transmission project

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