Impact of distribution system reconfiguration on optimal placement of phasor measurement units

Abdelsalam, Hany A.; Abdelaziz, Almoataz Y.; Osama, Reham A.; Salem, Reham H.

doi:10.1109/psc.2014.6808114

Cited by 18 publications

(17 citation statements)

References 19 publications

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“…In order to further analyze the effectiveness of searching the minimum number of PMUs required for the full observability, the simulation results of the proposed method in IEEE 33, 34 and 69 bus systems are compared with those of other methods in References [46][47][48], which are shown in Table 2. The topologies of the IEEE 34 bus system and IEEE 69 bus system are shown in Appendix A.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…The topologies of the IEEE 34 bus system and IEEE 69 bus system are shown in Appendix A. As shown in Table 2, compared with the methods in References [46][47][48], the OPP method proposed in this paper can provide the optimal solution with the minimum number of PMUs required for the full observability of IEEE 33, 34 and 69 bus systems respectively. Furthermore, the proposed OPP method can also obtain the compromise optimal scheme which comprehensively considers the cost and state estimation error.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

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Multi Objective for PMU Placement in Compressed Distribution Network Considering Cost and Accuracy of State Estimation

et al. 2019

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A phasor measurement unit (PMU) can provide phasor measurements to the distribution network to improve observability. Based on pre-configuration and existing measurements, a network compression method is proposed to reduce PMU candidate locations. Taking the minimum number of PMUs and the lowest state estimation error as the objective functions and taking full observability of distribution network as the constraint, a multi objective model of optimal PMU placement (OPP) is proposed. A hybrid state estimator based on supervisory control and data acquisition (SCADA) and PMU measurements is proposed. To reduce the number of PMUs required for full observability, SCADA measurement data are also considered into the constraint by update and equivalent. In addition, a non-dominated sorting genetic algorithm-II (NSGA-II) is applied to solve the model to get the Pareto set. Finally, the optimal solution is selected from the Pareto set by the technique for order preference by similarity to ideal solution (TOPSIS). The effectiveness of the proposed method is verified by IEEE standard bus systems.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Simulation Results and Discussionmentioning

confidence: 99%

Multi Objective for PMU Placement in Compressed Distribution Network Considering Cost and Accuracy of State Estimation

et al. 2019

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“…Um crescente interesse em torno do problema de alocar medidores simultaneamente à reconfiguração tem motivado diversas pesquisas sobre este tema. Dentre os trabalhos correlatos, Abdelsalam et al (2014) analisaram o impacto da RRD na alocação de unidades de medição fasorial (PMUs -Phasor Measurement Units). A desvantagem da técnica proposta está na abordagem unilateral do problema.…”

Section: Doi: 1017648/sbai-2019-112473unclassified

Algoritmo de Colônia de Abelhas Artificiais para Alocação de Medidores e Reconfiguração em Redes de Distribuição

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Rodrigues

Raposo

2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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This paper proposes a probabilistic technique to carry out simultaneously the reconfiguration (DNR) and meters allocation in distribution networks. A linearized model based on closed analytic formulas is used to evaluate the accuracy of a candidate measurement design for state estimation. The multi-objective optimization technique based on artificial bee colony algorithm (ABC) was used to simultaneously minimize resistive losses, the number of meters and the inaccuracy of the state estimator (SE). In addition, the proposed algorithm considers the effect of correlation between measurements. The results of the tests demonstrated that the bee colony algorithm is able to obtain topologies with significant reductions in losses and measurement designs with acceptable accuracy and a reduced number of meters. Resumo: Este trabalho propõe uma técnica probabilística para realizar simultaneamente a reconfiguração (RRD) e a alocação de medidores em redes de distribuição. Um modelo linearizado baseado em fórmulas analíticas fechadas é usado para avaliar a precisão de um plano de medição candidato para a estimação de estado. A técnica de otimização multiobjetivo baseada no algoritmo de colônia de abelhas artificiais (CAA) foi utilizada para minimizar simultaneamente as perdas resistivas, o número de medidores e a imprecisão do estimador de estado (EE). Além disso, o algoritmo proposto considera o efeito da correlação entre as medições. Os resultados dos testes demonstraram que o algoritmo de colônias de abelhas é capaz de obter topologias com reduções significativas nas perdas e planos de medição com precisão aceitável e número reduzido de medidores.

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“…However, the developed OPP formulations for the transmission grids cannot be applied immediately to the distribution grids as they required to be reconfigured abruptly by opening/closing the sectionalizing and the tie switches to reduce power losses, and to improve the node voltage profile, power quality, system security and reliability [24][25][26]. By considering the mentioned notes, the researchers started investigating the OPP problems for the distribution grids in recent years [27][28][29][30][31][32][33]. In [27], the OPP problem was solved for the distribution grids based on a graph-theoretic approach.…”

Section: Introductionmentioning

confidence: 99%

An Improved OPP Problem Formulation for Distribution Grid Observability

et al. 2018

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Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results with the mixed integer linear programming (MILP)-based approach and the referenced works. The obtained results demonstrate the superiority of the proposed formulation and solution methodology compared to other methodologies.

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Impact of distribution system reconfiguration on optimal placement of phasor measurement units

Cited by 18 publications

References 19 publications

Multi Objective for PMU Placement in Compressed Distribution Network Considering Cost and Accuracy of State Estimation

Multi Objective for PMU Placement in Compressed Distribution Network Considering Cost and Accuracy of State Estimation

Algoritmo de Colônia de Abelhas Artificiais para Alocação de Medidores e Reconfiguração em Redes de Distribuição

An Improved OPP Problem Formulation for Distribution Grid Observability

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