考虑容灾性能的综合能源系统弹性提升策略研究OA
Research on strategy for enhancing the resilience of integrated energy system considering disaster tolerance performance
主动准备是能源系统应对灾害事件的关键条件,围绕这一研究背景,提出了一种提升综合能源系统弹性的主动方法,通过求解灾前优化调度策略增强综合能源系统弹性.首先,分析台风灾害的数学模型,计算出系统内架空线的故障模型,并根据线路故障率进行定点加固.然后,将灾害首次冲击至灾害最坏情况时调度范围内的电力、热力和天然气功率存储总量定义为准备指数.提高准备指数,需要以灾前调度范围内的负荷削减为代价,为此,构建了综合能源系统的马尔科夫模型,并采用 Actor-Critic 算法求解受灾时的系统最优调度策略,解决了准备指数与负荷供应之间的多目标优化问题.最后,仿真验证表明,优化后的调度策略能够显著提升系统的准备指数和弹性指标,并大幅减少灾后负荷损失.
Proactive preparation is a key condition for energy systems to respond to disaster events.Against this research background,this paper proposes an active method to enhance the resilience of integrated energy system by obtaining pre-disaster optimal scheduling strategies.Firstly,the paper analyzes the mathematical model of typhoon disasters,calculates the fault model of overhead lines within the system,and conducts fixed-point reinforcement based on the line failure rate.Then,the total storage capacity of electricity,heat,and natural gas within the dis-patch range from the first impact of the disaster to the worst-case scenario is defined as the preparedness index.To improve the readiness index,the cost of load reduction in the pre-disaster scheduling range is needed.Therefore,the paper constructs a Markov model of the integrated energy system,and adopts Actor-Critic algorithm to solve the optimal scheduling strategy of the system in disaster,which solves the multi-objective optimization problem between the readiness index and the load supply.Finally,through simulation verification,the optimized scheduling strategy can significantly improve the readiness index and resilience index of the system,and significantly reduce post disas-ter load losses.
吴树鸿;宋关宇
广东电网有限责任公司佛山供电局,广东 佛山 528000天津大学,天津 300072
信息技术与安全科学
主动准备综合能源管理优化调度Actor-Critic算法
proactive preparationintegrated energy managementoptimal schedulingActor-Critic algorithm
《电测与仪表》 2026 (8)
26-35,10
广东电网有限责任公司科技项目(GDKJXM20231034)国家自然科学青年基金项目(51807132)
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