A Rolling Horizon Optimization Framework for Resilient Restoration of Active Distribution Systems

Ning Xin, Laijun Chen, Linrui Ma and Yang Si
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Ning Xin: College of Water Resources and Electric Power, Qinghai University, Xining 810016, China
Laijun Chen: Qinghai Key Laboratory of Efficient Utilization of Clean Energy, Tus-Institute for Renewable Energy, Qinghai University, Xining 810016, China
Linrui Ma: Qinghai Key Laboratory of Efficient Utilization of Clean Energy, Tus-Institute for Renewable Energy, Qinghai University, Xining 810016, China
Yang Si: Qinghai Key Laboratory of Efficient Utilization of Clean Energy, Tus-Institute for Renewable Energy, Qinghai University, Xining 810016, China

Energies, 2022, vol. 15, issue 9, 1-14

Abstract: Network reconfiguration is an effective way to avoid severe, large-scale power outages and to improve the resilience of active distribution networks (ADNs). Furthermore, the rapid development of distributed energy resources (DERs) provides new perspectives for network reconfiguration. In this paper, the effect of network reconfiguration and DER collaboration on ADN’s resilient restoration are studied. The applications of DERs are fully explored. In order to achieve a better resilient performance, a detailed multiperiod model considering both reconfiguration and multiple DERs is established. Some linearization techniques are used to simplify the proposed model. Then, we build a rolling horizon optimization framework to solve the model. The framework eliminates the adverse effect of prediction errors and speeds up the calculation. By introducing predictions into strategy determination, the framework achieves a better restoration effect than the traditional greedy method. The proposed framework is tested on a 33-bus system. The simulations verify the efficiency of our work.

Keywords: rolling horizon optimization; active distribution network; network reconfiguration; resilience (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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