2016
DOI: 10.1109/tpwrs.2015.2404533
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Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation

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Cited by 373 publications
(167 citation statements)
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“…Other recent work investigates the usage of a community energy storage system for optimized self-consumption of multiple households -the sensitivity analysis reveals optimal sizes for PbA and LIB systems [191]. In fact, in various contributions sizing of storage is combined with a secondary objective (e.g., combined sizing and placement [190,196,199], or combined sizing and dispatch optimization PS [128]). These approaches are discussed in the following Subsections.…”
Section: Sizing Of Bessmentioning
confidence: 99%
“…Other recent work investigates the usage of a community energy storage system for optimized self-consumption of multiple households -the sensitivity analysis reveals optimal sizes for PbA and LIB systems [191]. In fact, in various contributions sizing of storage is combined with a secondary objective (e.g., combined sizing and placement [190,196,199], or combined sizing and dispatch optimization PS [128]). These approaches are discussed in the following Subsections.…”
Section: Sizing Of Bessmentioning
confidence: 99%
“…The model faces the coordination of wind and thermal power while accounting for the expected penalty cost for not using all available wind power and the expected cost of utilizing power reserves because of wind power shortage. In 2016, Sedghi et al [133] presented the planning technique for defining optimal location, capacity, and power rating of the batteries while minimizing the cost function under the technical constraints. The objective function involves the monetary factors, such as investment, operation, and reliability costs, as well as the technical penalty factor.…”
Section: 4mentioning
confidence: 99%
“…References [44,45] started to study configurations of energy storage system (ESS) in ADN. Optimal sitting and sizing model was proposed in [44] considering both active and reactive regulation ability by ESS.…”
Section: Development Of Ads Planningmentioning
confidence: 99%
“…References [44,45] started to study configurations of energy storage system (ESS) in ADN. Optimal sitting and sizing model was proposed in [44] considering both active and reactive regulation ability by ESS. Reference [46] developed a multi-objective optimal placement model for ESS in ADN with three objectives, peak shaving capacity, voltage quality and power selfregulation capacity.…”
Section: Development Of Ads Planningmentioning
confidence: 99%
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