2019
DOI: 10.1049/iet-rpg.2018.5856
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Risk‐averse energy management system for isolated microgrids considering generation and demand uncertainties based on information gap decision theory

Abstract: There are many technical challenges for integration of renewable energy sources (RESs) in the context of microgrids. Among these challenges, spinning reserve energy management should be accurately considered in the microgrid scheduling system for a better system operation. This study presents a methodology to model and analyse a novel scheme to integrate RESs, particularly photovoltaic (PV) systems, in diesel generation-based isolated microgrids. The proposed approach considers the uncertainties of PV power ge… Show more

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Cited by 27 publications
(14 citation statements)
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“…Regarding this, the authors introduced Markovitz approach for the uncertainty handling which is a risk-based approach [29]. Other method that benefits from several advantages for uncertainty management in MGs is information gap decision theory (IGDT) technique [30]. Table 1…”
Section: Literature Surveymentioning
confidence: 99%
See 1 more Smart Citation
“…Regarding this, the authors introduced Markovitz approach for the uncertainty handling which is a risk-based approach [29]. Other method that benefits from several advantages for uncertainty management in MGs is information gap decision theory (IGDT) technique [30]. Table 1…”
Section: Literature Surveymentioning
confidence: 99%
“…✓ ---✓ ✓ robust optimisation [25] ✓ -----robust optimisation [26] ✓ ---✓ -scenario based [30] ✓ general merits of the IGDT technique are highlighted in [31] and compared with available uncertainty modelling techniques. Generally, the IGDT technique is formulated as follows:…”
Section: Igdt Approachmentioning
confidence: 99%
“…In addition to the papers discussed in previous sections, several reviewed papers that address different aspects of energy management are listed in the following. Reference [228] coordinates the energy sharing to achieve maximum profit and [229] improves the life cycle of batteries. The objectives of maximizing MG and consumer profits individually is discussed in [230], maintaining the privacy concern for both generators and consumers is proposed in [208], and maximizing the total revenue for the PV/battery system is presented in [231].…”
Section: E Increasing the System Efficiencymentioning
confidence: 99%
“…Specifically, EVs could be used as both the load and generation (V2G program) at different times of a 24 hour period. There are many relevant works to the ESS system in the literature: [11], [14], [21], [32], [41], [78], [102], [103], [105], [106], [110], [112]- [114], [153], [160], [167], [171], [174], [175], [181], [183], [184], [195], [196], [198], [202], [208], [229], [247], [260]- [263].…”
Section: Ess Controlmentioning
confidence: 99%
“…In reference, 17 a MG fuzzy logic specialist system was created to decrease operating costs and concentrations of emissions. A power generation system using dynamic programming for 45 PV storage devices is defined in reference, 18 and PV energy is fed into a distribution network. To discover the ideal procedure of a MG in a firefly algorithm, the lifetime features of a battery are applied.…”
Section: Introductionmentioning
confidence: 99%