Optimal PMU allocation for high-sensitivity wide-area backup protection scheme of transmission lines

el‐Ghany, Hossam A. Abd

doi:10.1016/j.epsr.2020.106485

Cited by 12 publications

(12 citation statements)

References 23 publications

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“…The second subsection is interested in the determination of weighting factors for the formulated multi-objective function in (11). This is for obtaining the global optimal solution [30]. After weighting factors determination, the third subsection is devoted to the application of different optimization techniques on the multi-objective function to obtain the optimal variables of SSSC.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…The multi-objective function formulated in the previous section is minimized by proposing two optimization techniques. These techniques are genetic algorithm (GA) [30], JAYA algorithm and Self-adaptive Multi-population Elitist (SAMPE-JAYA) algorithm [21]. The following subsections are discussing these techniques.…”

Section: Solution Of the Optimization Problemmentioning

confidence: 99%

“…The GA is considered as one of the meta-heuristic techniques which relies on the genetics and natural selection laws. For optimization problems, the GA provides the best solutions within the search space [30]. GA explores the solution in a parallel manner to get the optimal solution from population of points.…”

Section: A Genetic Algorithm (Ga)mentioning

confidence: 99%

“…Therefore, GA can avoid the local optimal solution problem. Real-Coded GA [30] consists of four essential phases which are initial population, evaluation function, selection, and genetic operators (mutation and crossover). GA algorithm guides the population into convergence to obtain the global optimal solution.…”

Section: A Genetic Algorithm (Ga)mentioning

confidence: 99%

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Optimal Design and Control of SSSCs for TLs Considering Technical and Economic Indices Using GA and SAMPE-JAYA Algorithms

et al. 2021

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Improving transmission lines (TL) steady-state stability limit can be achieved by Static Synchronous Series Compensators (SSSC) that work as a converter-based compensator. The modification of the SSSC function to inject both active and reactive power into the TL improves its performance according to different indices. The TL improvement indices include the reduction of TL losses, the enhancement of dynamic stability margin and the improvement of voltage profile along the TL. The economic index is considered a vital factor in the design of SSSC devices installed in TLs. This paper proposes an objective function to design and control SSSC devices by considering various technical and economical indices. The formulation of the objective function requires power flow analysis in the compensated transmission line under different loading conditions and compensation levels. The proposed multi-objective function includes the transmission line losses, the dynamic stability span, and the cost of SSSC device. The Genetic Algorithm (GA) and Self-adaptive Multi-population Elitist Jaya Algorithm (SAMPE-JAYA) are proposed as optimization techniques to obtain the minimized value of the multi-objective function. This paper proposes the installation of two SSSC devices in TL that leads to the improvement of the design and control indexes. The proposed objective function and the optimization techniques are applied for tie-line (400kV, 400km) that connects between two networks.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Solution Of the Optimization Problemmentioning

confidence: 99%

Section: A Genetic Algorithm (Ga)mentioning

confidence: 99%

Section: A Genetic Algorithm (Ga)mentioning

confidence: 99%

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Optimal Design and Control of SSSCs for TLs Considering Technical and Economic Indices Using GA and SAMPE-JAYA Algorithms

et al. 2021

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“…Moreover, emergency actions can be taken from the control room, if the place and type of fault are known. Therefore, a relevant number of fault detection, classification, and location methods have been presented by researchers over the last few years, as these subjects are of great interest to engineers and utilities 2‐16 …”

Section: Introductionmentioning

confidence: 99%

A comprehensive backup protection for transmission lines based on an intelligent wide‐area monitoring system

Petite

Santos

Manassero

et al. 2021

Int Trans Electr Energ Syst

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Summary This work presents the development, implementation and evaluation of an accurate intelligent wide‐area monitoring system for supporting protection functions in transmission lines. The proposed scheme is based on artificial neural networks and uses only postfault voltage signals for fault detection, classification, and location in transmission lines with different characteristics. The development and evaluation of the proposed intelligent system were based on three different electric power grids, under several different fault conditions (fault type, location, and resistance). The electrical systems were modeled in Matlab and PSCAD, while the proposed algorithm was developed in Matlab. The results are promising, showing that the proposed scheme presents a high level of accuracy and robustness. Moreover, the comprehensiveness of the presented solution is proven against three different power grids.

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Multiple μPMU placement solutions in active distribution networks using nonlinear programming approach

Chauhan

Dahiya

2021

Int Trans Electr Energ Syst

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In an active distribution network (ADN), the optimal micro-PMU (μPMU) placement problem (OμPP) determines the location set with the minimal number of μPMUs that make the system observable. However, most approaches that solve OμPP provide a single location set limiting electrical power monitoring planning flexibility. Therefore, this paper presents an approach based on nonlinear programming (NLP) for solving the OμPP. The objective of the approach is to provide multiple location sets for OμPP that provide flexibility to electrical power monitoring planning. New constraints of the presence of distributed generations (DGs), zero injection buses (ZIBs), and communication line unavailability are taken into account for OμPP formulation. The proposed approach is implemented on the IEEE 69 distribution feeder, Indian-85 distribution feeder, and IEEE 123 distribution feeder. The results show that the proposed approach successfully provides multiple location sets with a minimal number of μPMUs. K E Y W O R D Sbinary integer linear programming (BILP), distributed generation, micro-phasor measurement unit (μPMU), nonlinear programming (NLP)

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Optimal PMU allocation for high-sensitivity wide-area backup protection scheme of transmission lines

Cited by 12 publications

References 23 publications

Optimal Design and Control of SSSCs for TLs Considering Technical and Economic Indices Using GA and SAMPE-JAYA Algorithms

Optimal Design and Control of SSSCs for TLs Considering Technical and Economic Indices Using GA and SAMPE-JAYA Algorithms

A comprehensive backup protection for transmission lines based on an intelligent wide‐area monitoring system

Multiple μPMU placement solutions in active distribution networks using nonlinear programming approach

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