2017
DOI: 10.1049/joe.2017.0757
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Fault recovery for distribution network with distributed generation

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Cited by 3 publications
(3 citation statements)
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“…Particle swarm optimization [174] 2017 Obtaining the result to decrease losses in the system Decreasing losses may increase the cost [236] 2018 Achieves an efficient data flow Complex [179] 2017 Reduction in losses Needs more enhancement to recover faults [190] 2015 Increased reliability in system Costly Fuzzy logic [253] 2018 Control fluctuations in power Costly [246] 2015 Efficiently controlling power Increase in losses [261] 2012…”
Section: Approach Reference Year Pros Consmentioning
confidence: 99%
“…Particle swarm optimization [174] 2017 Obtaining the result to decrease losses in the system Decreasing losses may increase the cost [236] 2018 Achieves an efficient data flow Complex [179] 2017 Reduction in losses Needs more enhancement to recover faults [190] 2015 Increased reliability in system Costly Fuzzy logic [253] 2018 Control fluctuations in power Costly [246] 2015 Efficiently controlling power Increase in losses [261] 2012…”
Section: Approach Reference Year Pros Consmentioning
confidence: 99%
“…Also, network reconfiguration and reconfiguration scheduling in a distribution system helps to reduce the system losses and eventually, the operational costs. Some research has been published for minimizing the system operational costs with different approaches in the following literature: [11], [12], [14]- [17], [19], [21], [25]- [27], [30]- [33], [35]- [41], [51], [53], [54], [56], [58], [62], [15], [71]- [130], [132], [132]- [161].…”
Section: A Minimizing the Operational Costsmentioning
confidence: 99%
“…A specialized greedy randomized adaptive search procedure algorithm finds out the optimal switching devices to achieve optimal reconfiguration of electrical distribution systems and the optimal service restoration of EDS [55]. Ba et al [56] discuss a methodology using less switching operation for system loss minimization. In [43], the authors present a method for computing the sensitivities of the state variables with respect to switching operations.…”
mentioning
confidence: 99%