Application of PSO-Methods for the Solution of the economic Optimal Reactive Power Dispatch Problem

Sarstedt, Marcel; Garske, Steffen; Hofmann, Lutz

doi:10.1109/egrid.2018.8598673

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…Metaheuristics and especially the PSO are established in the field of electrical power supply calculations to solve various optimization problems regarding system planning and operation (see [40]). The PSO is well studied in the context of the optimal power flow determination and shows high performance and good results [30][31][32]41]. Thereby, the value of the objective function of the PSO is evaluated using a power flow calculation based on the Newton Raphson method.…”

Section: Formulation and Modification Of The Particle Swarm Optimization For The For Determinationmentioning

confidence: 99%

Survey and Comparison of Optimization-Based Aggregation Methods for the Determination of the Flexibility Potentials at Vertical System Interconnections

et al. 2021

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The aggregation of operational active and reactive power flexibilities as the feasible operation region (FOR) is a main component of a hierarchical multi-voltage-level grid control as well as the cooperation of transmission and distribution system operators at vertical system interconnections. This article presents a new optimization-based aggregation approach, based on a modified particle swarm optimization (PSO) and compares it to non-linear and linear programming. The approach is to combine the advantages of stochastic and optimization-based methods to achieve an appropriate aggregation of flexibilities while obtaining additional meta information during the iterative solution process. The general principles for sampling an FOR are introduced in a survey of aggregation methods from the literature and the adaptation of the classic optimal power flow problem. The investigations are based on simulations of the Cigré medium voltage test system and are divided into three parts. The improvement of the classic PSO algorithm regarding the determination of the FOR are presented. The most suitable of four sampling strategies from the literature is identified and selected for the comparison of the optimization methods. The analysis of the results reveals a better performance of the modified PSO in sampling the FOR compared to the other optimization methods.

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Section: Formulation and Modification Of The Particle Swarm Optimization For The For Determinationmentioning

confidence: 99%

Survey and Comparison of Optimization-Based Aggregation Methods for the Determination of the Flexibility Potentials at Vertical System Interconnections

et al. 2021

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“…In the field of electric power system, optimization metaheuristics are used for solving a variety of optimization problems concerning system planning and operation [13][14][15][16][17][18][19]. For solving SCOPF problems the PSO (cf.…”

Section: Particle Swarm Optimization Approachmentioning

confidence: 99%

“…For solving SCOPF problems the PSO (cf. [20,21]) shows an appropriate convergence behavior and good performance characteristics by the adaptation of hyperparameters [13,16,17]. The PSO algorithm used for the investigations within this paper is described in detail at [9].…”

Section: Particle Swarm Optimization Approachmentioning

confidence: 99%

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Comparison of Convexificated SQCQP and PSO for the Optimal Transmission System Operation based on Incremental In-Phase and Quadrature Voltage Controlled Transformers

Sarstedt,

Leveringhaus,

Kluß

et al. 2021

Preprint

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The optimal operation of electrical energy systems by solving a security constrained optimal power flow (SCOPF) problem is still a challenging research aspect. Especially, for conventional optimization methods like sequential quadratic constrained quadratic programming (SQCQP) the formulation of the incremental control variables like in-phase and quadrature voltage controlled transformers in a solver suitable way is complex. Compared to this, the implementation of these control variables within heuristic approaches like the particle swarm optimization (PSO) is simple but problem specific adaptations of the classic PSO algorithm are necessary to avoid an unfortunate swarm behavior and local convergence in bad results. The objective of this paper is to introduce a SQCQP and a modified PSO approach in detail to solve the SCOPF problem adequately under consideration of flexible incremental in-phase and quadrature transformers tap sets and to compare and benchmark the results of both approaches for an adapted IEEE 118-bus system. The casestudy shows that both approaches lead to suitable results of the SCOPF with individual advantages of the SQCQP concerning the quality and the reproducibility of the results while the PSO lead to faster solutions when the complexity of the investigation scenario increases.

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Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization

Gil,

Akbari,

Rahimnejad

et al. 2024

Intelligent Systems with Applications

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Application of PSO-Methods for the Solution of the economic Optimal Reactive Power Dispatch Problem

Cited by 11 publications

References 5 publications

Survey and Comparison of Optimization-Based Aggregation Methods for the Determination of the Flexibility Potentials at Vertical System Interconnections

Survey and Comparison of Optimization-Based Aggregation Methods for the Determination of the Flexibility Potentials at Vertical System Interconnections

Comparison of Convexificated SQCQP and PSO for the Optimal Transmission System Operation based on Incremental In-Phase and Quadrature Voltage Controlled Transformers

Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization

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