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2020
DOI: 10.1186/s41601-020-00177-5
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Impact of the penetration of distributed generation on optimal reactive power dispatch

Abstract: Optimal reactive power dispatch (ORPD) is a complex and non-linear problem, and is one of the sub-problems of optimal power flow (OPF) in a power system. ORPD is formulated as a single-objective problem to minimize the active power loss in a transmission system. In this work, power from distributed generation (DG) is integrated into a conventional power system and the ORPD problem is solved to minimize transmission line power loss. It proves that the application of DG not only contributes to power loss minimiz… Show more

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Cited by 25 publications
(12 citation statements)
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References 43 publications
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“…To address such control issues in the view of getting high efficiency and better dynamic response, there are couple of control algorithms like genetic algorithms (GA), improved GA, partial swarm optimization (PSO), evolutionary programming (EP), hybrid evolutionary strategy, seeker optimization algorithm (SOA), bacterial-foraging optimization (BFO), gravitational search algorithm (GSA), differential evolution (DE), and artificial bee colony algorithm (ABC). Recently, few more advanced algorithms such as whale optimization algorithm, enhanced red wolf optimization, improved social spider optimization (ISSO), antlion optimization algorithm (AOA), JAYA algorithms ,PSO extended algorithms like R-PSO,L-PSO,PSO-CFA, improved PSO based on success rate (IPSO-SR), fruit fly optimization algorithm (FFOA), and modified fruit fly optimization algorithm (MFFOA) are also used with basic control laws like PID and SMC for the control of power converters [78].…”
Section: Smart Control Algorithms For Bidirectional Dc-dc Convertersmentioning
confidence: 99%
“…To address such control issues in the view of getting high efficiency and better dynamic response, there are couple of control algorithms like genetic algorithms (GA), improved GA, partial swarm optimization (PSO), evolutionary programming (EP), hybrid evolutionary strategy, seeker optimization algorithm (SOA), bacterial-foraging optimization (BFO), gravitational search algorithm (GSA), differential evolution (DE), and artificial bee colony algorithm (ABC). Recently, few more advanced algorithms such as whale optimization algorithm, enhanced red wolf optimization, improved social spider optimization (ISSO), antlion optimization algorithm (AOA), JAYA algorithms ,PSO extended algorithms like R-PSO,L-PSO,PSO-CFA, improved PSO based on success rate (IPSO-SR), fruit fly optimization algorithm (FFOA), and modified fruit fly optimization algorithm (MFFOA) are also used with basic control laws like PID and SMC for the control of power converters [78].…”
Section: Smart Control Algorithms For Bidirectional Dc-dc Convertersmentioning
confidence: 99%
“…The emergence of DGs has changed the power flow and fault current characteristics of the network. On the one hand, DGs cause bi-directional power flow and uncertain magnitude and direction of load current and fault current, while on the other, the output currents of DGs that use solar and wind energy fluctuate [1][2][3]. Because of the above factors, it is difficult to set the threshold value for conventional overcurrent protection, and its protection range, sensitivity and reliability are severely affected.…”
Section: Introductionmentioning
confidence: 99%
“…Because of these benefits, SOFC is considered to be one of the most promising FC technologies [27,28]. With the continuous development and progress of FC technology, SOFC can serve a large variety of applications, including mobile [29], auxiliary power units (APU) [30,31], backup power systems, stationary small-scale combined heat and power systems, and medium-large scale power generation systems [32]. Therefore the commercial application of SOFC is very broad.…”
Section: Introductionmentioning
confidence: 99%