Optimal scheduling of battery charging-swapping systems for distribution network resilience enhancement

When offshore-island renewable distribution systems (OIRDSs) encounter multiple failures in case of extreme weather, the battery charging-swapping system (BCSS) is a promising solution to reduce the power outage loss and enhance resilience of OIRDSs. However, extreme weather (such as heavy rain) may affect the logistic speed, resulting in a non-integer-hour battery schedule time among stations. Although rounding the time as integer hours could match the scheduling step size, large errors would be caused. To solve the problem, a novel OIRDS resilience enhancement strategy is proposed. First, the impacts of the rainfall, solar radiation, and wind speed on the renewable generation and battery transfer time are analyzed. On this basis, a dual unit commitment method is presented to coordinate the scheduling step and non-integer-hour battery transfer time. Moreover, an optimal OIRDS resilience enhancement model integrating decisions of the battery schedule and network reconfiguration is presented based on a 1-hour scheduling step. This model is converted into a mixed -integer linear programming (MILP) problem and solved efficiently. Simulation studies on an IEEE-11 node distribution network indicate the proposed strategy is effective and beneficial.(c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

When offshore-island renewable distribution systems (OIRDSs) face multiple failures during extreme weather conditions, the battery charging-swapping system (BCSS) is a promising solution to reduce power outage losses and enhance the resilience of OIRDSs. However, extreme weather, such as heavy rain, can affect logistics speed and result in non-integer-hour battery scheduling time between stations. To address this issue, a novel OIRDS resilience enhancement strategy is proposed that analyzes the impact of rainfall, solar radiation, and wind speed on renewable generation and battery transfer time. The strategy also presents a dual unit commitment method to coordinate scheduling steps and non-integer-hour battery transfer time, as well as an optimal OIRDS resilience enhancement model that integrates battery scheduling and network reconfiguration decisions.