2011
DOI: 10.4314/ijest.v3i3.68430
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Review of distributed generation planning: objectives, constraints, and algorithms

Abstract: The Distributed Generation (DG) technologies, which include both conventional and non-conventional type of energy sources for generating power, are gaining momentum and play major role in distribution system as an alternative distribution system planning option. The penetration of DGs is potentially beneficial if distributed generation planning (DGP) is optimal i.e. their site and size are selected optimally by optimization of single or multi-objective function under certain operating constraints. Many researc… Show more

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Cited by 48 publications
(26 citation statements)
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References 107 publications
(169 reference statements)
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“…The model helps in finding an optimal place and size of DG in order to reduce the power losses (PL), emissions (Epg), and contingencies with respect to a severity index (SI) subject to power balance constraints and generation limit, using SA as an optimization measure [22,93]. SA is a computational simulation, as a physical process, during which the optimization problem is simulated during the annealing process [100,101]. It is capable of escaping from the local minimum by including the probability function to approve or reject new solutions [34].…”
Section: Methods Specificsmentioning
confidence: 99%
“…The model helps in finding an optimal place and size of DG in order to reduce the power losses (PL), emissions (Epg), and contingencies with respect to a severity index (SI) subject to power balance constraints and generation limit, using SA as an optimization measure [22,93]. SA is a computational simulation, as a physical process, during which the optimization problem is simulated during the annealing process [100,101]. It is capable of escaping from the local minimum by including the probability function to approve or reject new solutions [34].…”
Section: Methods Specificsmentioning
confidence: 99%
“…In specific, it is known as intelligent computer programs [26]. This section envelops the wide range of research efforts in AI techniques such as Evolutionary Algorithm [27,28], Particle Swarm Optimization [29], Simulated Annealing [30], Fuzzy Systems [31], Hereford Ranch [32] and Tabu Search [33], Ant Colony System [34], Artificial Bee Colony [35,36], Firefly Algorithm [37], Cuckoo Search Algorithm [38],The prime fundamental of these techniques are discussed below,…”
Section: Heuristic/ Artificial Intelligence (Ai) Searchmentioning
confidence: 99%
“…Distributed generation (DG) has been used to produce energy in remote and isolated places, where the distance between the demand and the producer is short [1]. At present, this trend is changing as it has been proven that DG provides technical, economic, and environmental improvements [2].…”
Section: Introductionmentioning
confidence: 99%