A novel simplified approach to complexity of power system components including nonlinear controllers based model reduction

Aryanezhad, Majid; Joorabian, Mahmood; Ostadaghaee, Elahe

doi:10.1016/j.ijepes.2015.05.013

Cited by 8 publications

(2 citation statements)

References 19 publications

(23 reference statements)

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“…In general, the mentioned units are used for improving the power network benefits. The location, size, and operation planning of DGs and SVCs need to be designed and planned optimally to find optimal solutions that provide the benefits of the unit and the optimal economic point of view [1], [2]. Many available objectives and constraint factors considered being optimally minimized or maximized.…”

Section: Introductionmentioning

confidence: 99%

Determining the Pareto front of distributed generator and static VAR compensator units placement in distribution networks

Ahmadi

Çağlar

2022

IJECE

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<span>The integration of distributed generators (DGs), which are based on renewable energy sources, energy storage systems, and static VAR compensators (SVCs), requires considering more challenging operational cases due to the variability of DG production contributed by different characteristics for different time sequences. The size, quantity, technology, and location of DG units have major effects on the system to benefit from the integration. All these aspects create a multi-objective scope; therefore, it is considered a multi-objective mixed-integer optimization problem. This paper presents an improved multi-objective salp swarm optimization algorithm (MOSSA) to obtain multiple Pareto efficient solutions for the optimal number, location, and capacity of DGs and the controlling strategy of SVC a radial distribution system. MOSSA is a bio-inspired optimizer based on swarm intelligence techniques and it is used in finding the optimal solution for a global optimization problem. Two sets of objective functions have been formulated minimizing DGs and SVC cost, voltage violation, energy losses, and system emission cost. The usefulness of the proposed MOSSA has been tested with the 33-bus and 141-bus radial distribution systems and the qualitative comparisons against two well-known algorithms, multiple objective evolutionary algorithms based on decomposition (MOEA/D), and multiple objective particle swarm optimization (MOPSO) algorithm.</span>

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Section: Introductionmentioning

confidence: 99%

Determining the Pareto front of distributed generator and static VAR compensator units placement in distribution networks

Ahmadi

Çağlar

2022

IJECE

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“…In [5], the dynamic model of power system components is reduced while retaining the dynamic response and number of inputs and outputs. Topological reduction for printed ciruit boards is performed in [6], where only the low frequency response is of interest.…”

Section: Introductionmentioning

confidence: 99%

Reduction of topological connectivity information in electric power grids

Prostejovsky

Gehrke

Marinelli

et al. 2016

2016 51st International Universities Power Engineering Conference (UPEC)

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Robustness of unified power quality conditioner by neural network based on admittance estimation

Aryanezhad¹,

Ostadaghaee

2021

Applied Soft Computing

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A novel simplified approach to complexity of power system components including nonlinear controllers based model reduction

Cited by 8 publications

References 19 publications

Determining the Pareto front of distributed generator and static VAR compensator units placement in distribution networks

Determining the Pareto front of distributed generator and static VAR compensator units placement in distribution networks

Reduction of topological connectivity information in electric power grids

Robustness of unified power quality conditioner by neural network based on admittance estimation

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