2011
DOI: 10.1002/tee.21694
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Load variation impact on allowable output power of distributed generator with loss consideration

Abstract: arporn, Non-member As more renewable energy is being utilized, the number of distributed generators (DGs) is continuously increasing. In general, DGs provide considerable benefits from both economic and engineering aspects. Determination of the appropriate DG capacity is generally performed under certain operating conditions. However, the system demand varies with the time of the day. Therefore, appropriate DG output power, taking into account distribution feeder loss reduction, also changes over time. This… Show more

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Cited by 6 publications
(3 citation statements)
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“…DG placement is implemented as single-objective optimization through various optimization techniques to minimize either loss and cost or improve the voltage profile. DG placement is implemented as multi-objective optimization by two different methods of weighting sum techniques or by handling multiple objectives simultaneously to give a group of optimum results rather than a single optimum result [15].…”
Section: Reference Optimization Algorithms Ieee-bus Systemmentioning
confidence: 99%
“…DG placement is implemented as single-objective optimization through various optimization techniques to minimize either loss and cost or improve the voltage profile. DG placement is implemented as multi-objective optimization by two different methods of weighting sum techniques or by handling multiple objectives simultaneously to give a group of optimum results rather than a single optimum result [15].…”
Section: Reference Optimization Algorithms Ieee-bus Systemmentioning
confidence: 99%
“…In recent years, many researchers have studied the output performance of different types of generators. In , the impact of load variation on determining the appropriate distributed generator output power for feeder loss reduction purposes is investigated. The obtained results also show that the feeder loss can be managed effectively with appropriate output power of the distributed generator.…”
Section: Introductionmentioning
confidence: 99%
“…Taking into account load variation, Bouhouras [4] presented network reconfiguration methodology implemented utilizing heuristics techniques and load variations were simulated by stochastic procedures. An optimal DG output power for minimal losses is applied by Saksornchai [5] , this paper presents a method helping planning engineers to determine the suitable DG power output to be fed into their systems in a short period of time. Tzeng [6] presented an algorithm for minimal loss reconfiguration based on the dynamic programming approach considering the load variation.…”
Section: Introductionmentioning
confidence: 99%