考虑计划与非计划停运事件影响的电池储能容量配置优化OA

[Objective]In the practical operation of battery energy storage stations(BESS),both planned outages caused by periodic maintenance and unplanned outages resulting from sudden equipment failures can lead to available capacity losses,significantly affecting the economic viability of the station.Existing optimization methods for battery energy storage capacity configuration have not adequately considered the impacts of these two types of outage events.To address this gap,this paper proposes an optimization method for battery energy storage capacity configuration that explicitly incorporates planned and unplanned outages.[Methods]First,addressing the periodic maintenance requirements of battery energy storage stations,a life-cycle-based dynamic revenue evaluation model is established for planned outages associated with periodic maintenance.Second,failures of primary and secondary equipment in battery energy storage stations are modeled to assess revenues under unplanned outage scenarios.On this basis,a multi-objective optimization model for energy storage capacity configuration is formulated to maximize aggregate revenues affected by both types of outage events while minimizing the total investment cost.To adaptively balance the two objective functions of the optimization model,an iterative solution algorithm based on marginal improvement rates is designed.Finally,case studies using the IEEE 30-bus system and a provincial regional power grid are conducted to verify the validity of the proposed method.[Results]Compared with traditional allocation methods,the proportion of high-availability days for energy storage is increased by approximately 51.5%,validating the rationality and effectiveness of the proposed capacity allocation optimization method.[Conclusions]By simultaneously considering the impacts of both types of outage events and employing multi-objective optimization,the proposed method can mitigate the effects of cabin-level maintenance and failures during simulated operation,thereby facilitating operational scheduling and transaction fulfillment.