佛山电力需求响应关键技术研究与平台实现

发布时间：2018-06-11 14:42

本文选题：需求响应 + 潜力评估　；参考：《华北电力大学(北京)》2017年硕士论文

【摘要】：需求响应是电力市场环境下提高用电效率,优化资源配置和减少环境污染的重要技术手段。随着我国电改的逐渐深入以及资源和环保压力的不断加大,需求响应的价值得到越来越多的关注和认可。本文以佛山全国电力需求侧管理综合试点城市建设为切入点,旨在通过开展需求响应关键技术研究和平台架构设计与建设,摸索适合我国国情和地方特点的需求响应技术路线。本文主要围绕着基于激励机制和面向工业负荷的需求响应关键技术和平台实现技术开展研究。首先基于统计学和聚类算法分析了佛山电网负荷与主要行业负荷的特性,针对电网负荷高峰时段提出了整体负荷转移的潜力评估方法。其次,通过分析需求响应资源的环境、社会和经济效益等,给出了需求响应资源价值综合评价指标,并给出了多目标优化的参与需求响应用户遴选模型和算例分析。第三,在分析比较现有基线负荷算法的基础上,提出了针对过程监测的基线负荷算法,通过对用户负荷先聚类,再利用匹配日法提高基线负荷算法的准确性。最后,从需求响应业务流程需求出发,提出了佛山电力需求响应平台的总体设计方案,包括业务架构、应用架构的详细功能设计,并提出了电网和用户数据信息交互需求。在以上研究基础上,佛山开发了电力需求响应平台,并开展了多次需求响应试运行测试。测试结果表明,需求响应平台的智能决策和业务流程等功能运行正常,完成了需求响应负荷调控目标,而且需求响应各方的信息互动效果良好,也进一步验证了佛山的电力需求响应模式和技术路线的可行性。
[Abstract]:Demand response is an important technical means to improve power efficiency, optimize resource allocation and reduce environmental pollution. With the deepening of electricity reform in our country and the increasing pressure of resources and environmental protection, the value of demand response has been paid more and more attention and recognition. Based on the national power demand side management pilot city construction in Foshan, this paper aims to explore the technical route of demand response technology suitable for China's national conditions and local characteristics through the research on the key technology of demand response and the design and construction of platform architecture. This paper focuses on the key technologies of demand response and platform implementation based on incentive mechanism and industrial load. Firstly, based on statistics and clustering algorithm, the characteristics of load and main industry load in Foshan power network are analyzed, and a potential assessment method of load transfer is proposed for peak period of power grid load. Secondly, by analyzing the environment, society and economic benefit of the demand response resource, the comprehensive evaluation index of the demand response resource value is given, and the multi-objective optimization model of participating in the demand response user selection model and the example analysis are given. Thirdly, based on the analysis and comparison of existing baseline load algorithms, a baseline load algorithm for process monitoring is proposed, which improves the accuracy of the baseline load algorithm by clustering the user load first and then using the matching day method to improve the accuracy of the baseline load algorithm. Finally, the overall design scheme of Foshan electric power demand response platform is put forward, which includes the business architecture, the detailed function design of the application architecture, and the interactive requirements of power grid and user data information. Based on the above research, Foshan Power demand response platform has been developed, and several test tests have been carried out. The test results show that the intelligent decision-making and business process functions of the demand response platform are running normally, and the requirements response load control target is fulfilled, and the information interaction of the requirement response parties is good. It also verifies the feasibility of power demand response mode and technical route in Foshan.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73

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