2020
DOI: 10.1049/iet-rpg.2019.0472
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Risk averse energy management strategy in the presence of distributed energy resources considering distribution network reconfiguration: an information gap decision theory approach

Abstract: Distributed energy resources (DERs) and distribution network reconfiguration have considerable effects on both the economic and operational performance of distribution networks. However, the uncertain nature of renewable energy sources (RESs), wind energy, for instance, can bring about serious challenges to the distribution system operators and distribution companies (DisCos). Therefore, a suitable methodology is a matter of the utmost importance to handle the uncertainty of RESs. In addition, DisCos can benef… Show more

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Cited by 23 publications
(4 citation statements)
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“…III. Of the selected papers, 27.8% of them considered uncertainty in their investigations, which is concerning given that decision making under uncertainty can affect the control variables significantly [99]. Furthermore, it is evident from Figure 8 that un-certainty of PV/wind power generation and system demand are considered in many cases either separately or simultaneously.…”
Section: Imentioning
confidence: 99%
“…III. Of the selected papers, 27.8% of them considered uncertainty in their investigations, which is concerning given that decision making under uncertainty can affect the control variables significantly [99]. Furthermore, it is evident from Figure 8 that un-certainty of PV/wind power generation and system demand are considered in many cases either separately or simultaneously.…”
Section: Imentioning
confidence: 99%
“…Accordingly, this study introduces a robust methodology based on the notion of IGDT technique so as to increase the robustness of RH (knowing as RRH hereafter) controller in each consecutive timeslot. The detailed explanation of IGDT method is given in [18]. An illustration example is given in Fig.…”
Section: Robust Rolling Horizon Controllermentioning
confidence: 99%
“…A two‐stage robust optimisation is introduced in [17], to cope with the uncertain parameters in the day‐ahead DSR. A data‐driven stochastic robust optimisation method based on the measurements of micro‐phasor measurement units is proposed in [18] to solve the hourly DSR in a real‐time manner. A risk‐averse DSR strategy in the presence of DERs is proposed in [19], where the uncertainty of RESs is managed via the information gap decision theory.…”
Section: Introductionmentioning
confidence: 99%