2014
DOI: 10.1016/j.enconman.2013.10.051
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Economic-environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach

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Cited by 193 publications
(103 citation statements)
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“…Consequently, DGs could incorporate the VVC problem. At the present time, most of the DGs are generally operated at unity or at a fixed power factor for avoiding interference with the other Volt/Var regulation devices connected to distribution systems [5,6]. Since the distribution systems usually have a radial structure, which comprises the distribution lines with low X/R ratios, the active power of DGs has a significant effect on the VVC performance [7].…”
Section: Background and Motivationmentioning
confidence: 99%
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“…Consequently, DGs could incorporate the VVC problem. At the present time, most of the DGs are generally operated at unity or at a fixed power factor for avoiding interference with the other Volt/Var regulation devices connected to distribution systems [5,6]. Since the distribution systems usually have a radial structure, which comprises the distribution lines with low X/R ratios, the active power of DGs has a significant effect on the VVC performance [7].…”
Section: Background and Motivationmentioning
confidence: 99%
“…Due to the increasing penetration of DGs, it appears reasonable to suppose that some ancillary services, such as reserve and reactive power support, could be provided by DGs in an efficient and economical manner [3][4][5]. Consequently, DGs could incorporate the VVC problem.…”
Section: Background and Motivationmentioning
confidence: 99%
“…Integrated tools for simulation of DERs energy scheduling under day, hour-ahead and real-time has been developed, minimizing the operation costs [32]. Nevertheless, [33,34] proposed a day-ahead joint scheduling of energy and reserve taking into account the uncertain production of DERs under distribution systems and micro-grid management, respectively.…”
Section: Literature Review and Specific Contributionsmentioning
confidence: 99%
“…In the proposed model, the MILP optimization guarantees to find the globally optimum solution [13]. Also, The MILP optimization finds the optimum solution in lower runtime [14,15]. Moreover, the proposed model is a day-ahead energy and reserve scheduling.…”
Section: B)mentioning
confidence: 99%