Multi-Objective Evolutionary Algorithm for single and multiple fault service restoration in large-scale distribution systems

Sanches, Danilo Sipoli; London, João Bosco Augusto; Delbem, Alexandre C. B.

doi:10.1016/j.epsr.2014.01.017

Cited by 50 publications

(35 citation statements)

References 15 publications

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“…The DS presented in [8] was used to evaluate the performance of the proposed RTLE. It contains 32 buses without real-time measurements, 2,000 consumers (residential, commercial and industrial), and 4 MAs that use power flow measurements.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Observe that the whole forest is encoded as the union of the NDE arrays of all trees in the forest. Two operators were developed to efficiently manipulate a forest stored in NDEs [8]. The applications of the operators correspond to the opening and closing of switches, changing the topology of the DS and producing new NDEs.…”

Section: B Stage 2: Load Flow Calculationmentioning

confidence: 99%

“…Fortunately, the buses of each configuration produced by the NDE operators are naturally arranged in the terminal-substation order, so that the SLFA can be improved by NDE and its operators [8], [9].…”

Section: B Stage 2: Load Flow Calculationmentioning

confidence: 99%

“…Among the contributions of the proposed RTLE, the main is the use of NDE to computationally represent the electrical network topology of DSs. As demonstrated in [8] and [9], NDE enables a more computationally efficient backward/forward Sweep Load Flow Algorithm (SLFA) for DSs.…”

Section: Introductionmentioning

confidence: 99%

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Real-time load estimation for distribution feeders

Massignan

Fantin

London

et al. 2015

2015 IEEE Eindhoven PowerTech

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This paper proposes a Real Time Load Estimator (RTLE) for the obtaining of accurate information on the realtime operating state of Distribution Systems (DSs) feeders. The RTLE is based on off-line information (customers consumption and typical load curves); a computationally efficient load-flow algorithm that uses a data structure named Node-Depth Encoding, and available real-time measurements. Using only offline information, the proposed RTLE enables the off-line estimation of the loads of distribution transformers (aggregated load curves) and provides a measure of uncertainty of the estimation. It also refines the off-line estimates by processing the available real-time measurements via a computationally efficient load flow algorithm. Aspects of interest as impact of type and accuracy of measurements and the presence of measurements with gross errors are analyzed. The simulation results show the efficiency of the proposed RTLE in a test feeder.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: B Stage 2: Load Flow Calculationmentioning

confidence: 99%

Section: B Stage 2: Load Flow Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Real-time load estimation for distribution feeders

Massignan

Fantin

London

et al. 2015

2015 IEEE Eindhoven PowerTech

View full text Add to dashboard Cite

show abstract

“…Therefore, the selection of a subset of relevant switches for restoration in large distribution systems can be a respectable candidate strategy to avoid high computational times (combinatorial explosion). Hence, the number of feasible solutions becomes smaller compared with the number of feasible solutions when the same system is modeled by a network considering all of its switches [12]. In consequence, the possibility of finding adequate restoration plans will be increased.…”

Section: Service Restoration Problem Encodingmentioning

confidence: 99%