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基于设备安全边界的分布式能源站实时安全风险评估及应对策略

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在能源转型的背景下,多能耦合的分布式能源站发挥着重要作用.然而,随着多能耦合程度不断加深,能源站安全运行面临严峻挑战.提出基于设备安全边界的分布式能源站实时安全风险评估及应对策略.首先,以分布式能源站关键管线输出功率作为观测对象、多能流平衡方程作为约束,结合设备相互支撑备用关系,构建分布式能源站各设备安全边界,实现能源站故障运行状态的判断.其次,分析设备与管线故障源特征,提出考虑设备健康状态、天气因素和其他风险源的设备实时故障概率量化计算方法,构建考虑故障运行状态的分布式能源站安全风险评估模型.最后,针对高风险设备或管线,提出了兼顾安全性和经济性的储能优化应对策略,运用改进多目标粒子群算法求解Pareto解集.算例结果表明,所提安全风险评估方法能有效量化能源站安全风险.
Real-time Security Risk Assessment and Response Strategy for Distributed Energy Stations Based on Equipment Security Boundary
In the context of energy transition,multi-energy coupled distributed energy stations play an important role.However,as the degree of multi-energy coupling is getting deepening,the safe operation of energy stations faces serious challenges.The real-time security risk assessment and response strategy of distributed energy stations based on the equipment security boundary are proposed.Firstly,with the key pipeline output power of distributed energy stations as the observed object and the multi-energy flow balance equation as the constraint,the equipment safety boundary of the distributed energy stations is constructed by combining the equipment mutual support and backup relationship to realize the judgment of energy station fault operation status.Secondly,by analyzing the characteristics of equipment and pipeline failure sources,we propose a quantitative calculation method for real-time equipment failure probability considering the equipment health status,the weather factors and the other risk sources,and construct a safety risk assessment model for the distributed energy stations considering the failure operation status.Finally,for the high-risk equipment or pipelines,an optimal response strategy for energy storage is proposed to balance safety and economy.The Pareto solution set is solved using an improved multi-objective particle swarm algorithm.The results show that the proposed security risk assessment is able to effectively quantify the security risks of energy stations.

security risk assessmentsecurity boundaryreal-time equipment failure probabilitydistributed energy station

罗涌恒、姜飞、苏斌、杨理威、潘丽珠、易子木、林政阳

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长沙理工大学电气与信息工程学院,湖南省长沙市 410076

电网防灾减灾全国重点实验室(长沙理工大学),湖南省长沙市 410114

北京国网信通埃森哲信息技术有限公司,北京市海淀区 100032

国网安徽省电力有限公司电力科学研究院,安徽省合肥市 230022

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安全风险评估 安全边界 设备实时故障概率 分布式能源站

国家自然科学基金项目湖南省研究生科研创新项目

52377166QL20230211

2024

电网技术
国家电网公司

电网技术

CSTPCD北大核心
影响因子:2.821
ISSN:1000-3673
年,卷(期):2024.48(8)