面向综合能源系统可靠性评估的最优负荷削减量分层解耦计算方法

Hierarchical Decoupling Optimal Load Curtailment Algorithm for Integrated Energy Systems Reliability Evaluation

能源安全问题是关系国计民生的重要问题。综合能源系统是未来能源系统的核心环节,其基础任务是保证安全可靠的能源供应。针对最优负荷削减量统一求解法难以收敛的问题,提出了一种面向综合能源系统可靠性评估的最优负荷削减量分层解耦计算方法。基于分层解耦的最优负荷削减模型分别计算能源集线器优化调度和电/气/热子系统最优潮流问题,得到综合能源系统在各种故障状态下的最优负荷削减量。算例结果表明,该算法能够运用于电气热综合能源系统的可靠性评估,合理反映故障状态下电气热互补转化过程对系统可靠性的影响,也可用于系统薄弱环节分析和可靠性提升计划制定。

Energy security is a critical issue that is related to the national economy and people’s livelihood. The basic task of an integrated energy system, the core of a future energy system, is to supply safe and reliable energy. In this study, a hierarchical decoupling optimal load curtailment algorithm for integrated energy system reliability evaluation is proposed to solve the problem associated with the traditional optimal load curtailment algorithm, namely difficulty of converging. The optimal dispatch of energy hubs and the optimal power flow of electricity, gas, and heat subsystems are uncoupled and calculated based on a hierarchical decoupling optimal load curtailment framework, and the optimal load curtailment of an integrated energy system is obtained under various fault states. This approach can be employed for power–gas–heat integrated energy system reliability evaluation as demonstrated with numerical examples;it reasonably reflects the impact of complementation and transformation of electricity, gas, and heat on system reliability under various fault states, and is also suitable for weak point analysis and reliability improvement planning.