2018
DOI: 10.1088/1757-899x/366/1/012041
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A novel model of load supply capability evaluation in active distribution network

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Cited by 1 publication
(2 citation statements)
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“…3 At present, in the existing distributed power dispatching systems, although there have been examples of using intelligent algorithms such as particle swarm algorithm to dispatch energy systems, there are still problems in the use of previous intelligent algorithms that cannot perform staged dispatching according to the actual situation of the micro-grid, leading to the problem of ineffective consumption of electric energy and rising economic costs. 4 In the actual operation of the intelligent algorithm in the micro-grid dispatching system, the PSO calculations can be susceptible to local optimum during an early stage, and it is easy to diverge in the iterative process, which leads to the problem of insufficient accuracy of the solution obtained by the PSO algorithm. Therefore, the study utilizes simulated annealing algorithm and chaos mechanism to optimize particle swarm optimization, resulting in an improved IPSO algorithm with better performance, which compensates for the insufficient operational accuracy of particle swarm optimization.…”
Section: Introductionmentioning
confidence: 99%
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“…3 At present, in the existing distributed power dispatching systems, although there have been examples of using intelligent algorithms such as particle swarm algorithm to dispatch energy systems, there are still problems in the use of previous intelligent algorithms that cannot perform staged dispatching according to the actual situation of the micro-grid, leading to the problem of ineffective consumption of electric energy and rising economic costs. 4 In the actual operation of the intelligent algorithm in the micro-grid dispatching system, the PSO calculations can be susceptible to local optimum during an early stage, and it is easy to diverge in the iterative process, which leads to the problem of insufficient accuracy of the solution obtained by the PSO algorithm. Therefore, the study utilizes simulated annealing algorithm and chaos mechanism to optimize particle swarm optimization, resulting in an improved IPSO algorithm with better performance, which compensates for the insufficient operational accuracy of particle swarm optimization.…”
Section: Introductionmentioning
confidence: 99%
“…Compared to the electricity supply of larger electrical infrastructure systems, it can more effectively reduce the load, reduce transmission loss and use renewable energy more flexibly, responding to the national energy conservation and emission reduction and promotion of environmental protection energy 3 . At present, in the existing distributed power dispatching systems, although there have been examples of using intelligent algorithms such as particle swarm algorithm to dispatch energy systems, there are still problems in the use of previous intelligent algorithms that cannot perform staged dispatching according to the actual situation of the micro‐grid, leading to the problem of ineffective consumption of electric energy and rising economic costs 4 . In the actual operation of the intelligent algorithm in the micro‐grid dispatching system, the PSO calculations can be susceptible to local optimum during an early stage, and it is easy to diverge in the iterative process, which leads to the problem of insufficient accuracy of the solution obtained by the PSO algorithm.…”
Section: Introductionmentioning
confidence: 99%