A new heuristic reconfiguration algorithm for large distribution systems

Gomes, Felipe V.; Carneiro, S.; Pereira, J.L.R.; Vinagre, M.P.; Garcia, P.A.N.; Araujo, Leandro Ramos de

doi:10.1109/pes.2006.1708995

Cited by 49 publications

(100 citation statements)

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“…Item 3 ensures simplicity of the overall procedure by relying on an existing power flow tool (used as repeated power flow computation) to identify sterilizing substations and compute the maximum generation amount in the remaining ones. Item 4 implies running optimal network reconfiguration for active power losses reduction [15] since it has potential to increase system capacity [16].…”

Section: Gcan Computationmentioning

confidence: 99%

“…Many algorithms were proposed for optimal network reconfiguration [15,16]. Through extensive testing of different algorithms we found that the heuristic one of [15] is particularly useful based on its simplicity and ability to attain the solution comparable with more sophisticated algorithms.…”

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

“…Through extensive testing of different algorithms we found that the heuristic one of [15] is particularly useful based on its simplicity and ability to attain the solution comparable with more sophisticated algorithms. It relies on a power flow tool and thus considers non-linearity of the system and avoids usual approximations involved in many reconfiguration algorithms.…”

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

“…The algorithm proceeds with opening lines one by one, solving power flow for each line opened, and takes the decision to open the line that has resulted in the smallest increase in the active power loses. The procedure is stopped once all maneuverable lines are removed from the created list [15]. In this work we slightly modified the algorithm of [15] by considering all lines as maneuverable and introducing a radiality check of the corresponding graph as a stopping criterion.…”

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

“…The procedure is stopped once all maneuverable lines are removed from the created list [15]. In this work we slightly modified the algorithm of [15] by considering all lines as maneuverable and introducing a radiality check of the corresponding graph as a stopping criterion.…”

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

See 4 more Smart Citations

Global capacity announcement of electrical distribution systems: A pragmatic approach

Cornélusse

Vangulick²,

Glavić

et al. 2015

Sustainable Energy, Grids and Networks

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a b s t r a c tWe propose a pragmatic procedure to facilitate the connection process of Distributed Generation (DG) with reference to the European regulatory framework where Distribution System Operators (DSOs) are, except in specific cases, not allowed to own their generation. The procedure is termed Global Capacity ANnouncement (GCAN) and is intended to compute the estimates of maximum generation connection amount at appropriate substations in a distribution system, to help generation connection decisions. The pragmatism of the proposed procedure stems from its reliance on the tools that are routinely used in distribution systems planning and operation, and their use such that the possibilities of network sterilization are avoided. The tools involved include: long-term load forecasting, longterm planning of network extension/reinforcement, network reconfiguration, and power flow. Network sterilizing substations are identified through repeated power flow computations. The proposed procedure is supported by results using an artificially created 5-bus test system, the IEEE 33-bus test system, and a part of real-life distribution system of ORES (a Belgian DSO serving a large portion of the Walloon region in Belgium).

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Section: Gcan Computationmentioning

confidence: 99%

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

See 3 more Smart Citations

Global capacity announcement of electrical distribution systems: A pragmatic approach

Cornélusse

Vangulick²,

Glavić

et al. 2015

Sustainable Energy, Grids and Networks

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Optimal network restructure via improved whale optimization approach

Elazim

Ali

2020

Int J Communication

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SummaryLatterly, reduction of power loss in distribution system is the objective of many researches due to its impact on total costs and voltage profiles. It can be handled by optimal restructure of radial distribution system (RDS). This article introduces an innovative approach to restructure of RDS by electing the optimal switches combination subject to the system operating constraints, which is improved whale optimization approach (IWOA). The suggested approach combines exploitation of WOA with exploration of differential evolution (DE), and thus, it supplies a promising candidate solution. The suggested approach is tested on IEEE 33 and 69 bus RDS. The superiority of the suggested approach compared with other well‐known approaches is verified through simulation results by observation of total losses, cost, and saving. Also, the impact of alterable loading is investigated to prove the effectiveness of the suggested IWOA.

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Decision support system for multicriteria reconfiguration of power distribution systems using CSO and efficient graph traversal and repository management techniques

Andervazh

Javadi

Aliabadi

2018

Int Trans Electr Energ Syst

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Summary Changing the topology of the electric distribution system through altering the open/closed status of the system switches is executed primarily for 2 reasons: (1) restoring supply to customers due to power outages, referred to as supply or load restoration, and (2) improving system operation through distribution system reconfiguration. In keeping with the latter reason, this study proposes a decision support system (DSS) for multicriteria distribution system reconfiguration, which provides choice modelling and contributes to making optimal decisions concerning minimization of losses, cost of switching, and load balancing index in the system. The DSS uses cat swarm optimization for its distinctive exploration and exploitation capacities as an evolutionary multicriterion optimizer to solve this non‐linear programming problem. Moreover, it uses graph traversal techniques and heuristic fitness sharing mechanisms to find optimal configurations through a smart stochastic search. Using several key performance indicators, the efficiency of the proposed method is assessed on a 119‐bus distribution system by conducting a quantitative performance appraisal, considering demand variations. By introducing a set of viable alternatives to the distribution network operator, simulation results indicate the effectiveness of the proposed DSS.

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A new heuristic reconfiguration algorithm for large distribution systems

Cited by 49 publications

References 0 publications

Global capacity announcement of electrical distribution systems: A pragmatic approach

Global capacity announcement of electrical distribution systems: A pragmatic approach

Optimal network restructure via improved whale optimization approach

Decision support system for multicriteria reconfiguration of power distribution systems using CSO and efficient graph traversal and repository management techniques

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