| 引用本文: | 王廷涛,苗世洪,张松岩,张迪,姚福星,郑重.基于状态评估的多类型储能系统检修优化策略[J].电力自动化设备,2021,41(10): |
| WANG Tingtao,MIAO Shihong,ZHANG Songyan,ZHANG Di,YAO Fuxing,ZHENG Zhong.Maintenance optimization strategy of multi-type energy storage systems based on state evaluation[J].Electric Power Automation Equipment,2021,41(10): |
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| 摘要: |
| 电力系统通常会配置多种类型的储能装置以满足系统多样的运行需求。随着运行时间的增长，多类型储能系统的健康状况逐渐劣化，需要统筹兼顾各储能系统的重要程度与劣化程度，编制合理的检修计划。为此，综合考虑多类型储能系统的关键设备及其运行状态，提出了一种基于状态评估的多类型储能系统检修优化策略。综合考虑多类型储能系统的运行特性和技术特征，建立了多类型储能系统关键设备运行状态评价指标体系；基于改进主客观赋权法和属性识别模型，对储能系统关键设备的运行状态进行评估，并依据评估结果制定检修计划；综合考虑检修计划约束和系统运行约束等条件，构建了计及检修风险成本和检修实际成本的多类型储能系统检修优化模型，采用大“M”法对模型中的非线性项进行线性化处理。基于某地区的典型日数据与改进IEEE 30节点系统进行算例仿真，结果验证了所建模型的合理性与有效性。 |
| 关键词: 多类型储能系统 运行状态评估 主客观赋权法 属性识别模型 检修优化模型 混合整数线性规划模型 |
| DOI：10.16081/j.epae.202108013 |
| 分类号:TM732 |
| 基金项目:国家自然科学基金资助项目(51777088) |
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| Maintenance optimization strategy of multi-type energy storage systems based on state evaluation |
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WANG Tingtao, MIAO Shihong, ZHANG Songyan, ZHANG Di, YAO Fuxing, ZHENG Zhong
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Hubei Electric Power Security and High Efficiency Key Laboratory, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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| Abstract: |
| In the power system, various types of energy storage devices are usually equipped to meet the various operation requirements of the system. With the increase of operation time, the health condition of multi-type energy storage systems is gradually deteriorating, so it is necessary to take into account the importance and deterioration degree of each energy storage system, and work out a reasonable maintenance plan. Therefore, a maintenance optimization strategy of multi-type energy storage systems based on state evaluation is proposed by comprehensively considering the key equipment of multi-type energy storage system and its operation state. Considering the operation characteristics and technical characteristics of multi-type energy storage systems, the evaluation index system of key equipment operation state of multi-type energy storage systems is established. Based on the improved objective and subjective weighting method and attribute recognition model, the operation state of key equipment is evaluated, and the maintenance plan is made according to the evaluation results. Comprehensively considering the constraints of maintenance plan and system operation, the maintenance optimization model of multi-type energy storage systems is constructed considering maintenance risk cost and actual maintenance cost, and the nonlinear terms in the model are linearized by large “M” method. Based on the typical daily data of a certain region and the improved IEEE 30-bus system, the simulation example is carried out, and the simulative results verify the rationality and effectiveness of the proposed model. |
| Key words: multi-type energy storage systems operation state evaluation objective and subjective weighting method attribute recognition model maintenance optimization model mixed integer linear programming model |
