杭州供电公司整合多信息源的需求侧管理信息平台运维及应用的研究
发布时间：2018-10-30 20:48
【摘要】：近年来世界各国电力行业开展智能电网的建设,先进的通信技术、分布式发电技术、先进的测量技术、电动汽车等储能技术为需求侧管理提供新的技术支持,同时分时电价、实时电价也为需求侧响应提供了更有效的经济激励。浙江省电力公司经过近几年的努力,完成了多项国家电网公司智能电网试点项目,在“信息化、自动化、互动化”方面得到了很大提升,也为进一步开展智能用电、能效管理和需求侧优化决策创造了条件。本文以杭州供电公司为对象,从整合用电信息和气象信息等实时多信息源,建立多信息源管理平台出发,建立负荷特性评估指标及相关性分析方法和预测方法,深入挖掘负荷响应的潜力,提出了自上而下的分层分区有序用电优化决策方案和需求侧改进措施。将分析过程加以整合,形成实时用电信息和气象信息的需求侧管理信息平台、基于多信息源的负荷特性分析、建立系统一变电站—馈线—用户的预测-校正集成模型以及分层分区用电优化决策研究、需求侧管理的潜力分析四项研究成果,这对于把握当前智能配电系统大规模建设的良好时机,充分发挥智能配电网的潜力,大力提升用电效率、发挥需求侧管理潜能,为进一步科学用电、合理用电、节约用电、加强能效管理奠定基础,对全力推进电力需求侧管理信息平台和长效机制的建设及促进营销相关业务工作的开展具有重要的指导作用
[Abstract]:In recent years, the world's power industry has developed smart grid construction, advanced communication technology, distributed generation technology, advanced measurement technology, electric vehicles and other energy storage technologies to provide new technical support for demand-side management, and at the same time, time-sharing pricing. Real-time electricity price also provides a more effective economic incentive for demand-side response. Through its efforts in recent years, Zhejiang Electric Power Company has completed a number of smart grid pilot projects of the State Grid Corporation, which have been greatly upgraded in terms of "information technology, automation, and interaction," and also for the further development of intelligent electricity use. Energy efficiency management and demand-side optimization decisions create conditions. This paper takes Hangzhou Power supply Company as the object, from the integration of real-time multi-information sources such as power information and meteorological information, sets up the management platform of multi-information sources, and establishes the evaluation index of load characteristics, the methods of correlation analysis and prediction. In this paper, the potential of load response is deeply excavated, and a top-down hierarchical and sub-district optimal power consumption decision scheme and demand-side improvement measures are proposed. The analysis process is integrated to form a demand side management information platform for real-time power and meteorological information, which is based on the load characteristic analysis of multi-information sources. A system-substation feeder user predictive correction integrated model and hierarchical and zonal power optimization decision are established. The potential of demand-side management is analyzed. This will be helpful to grasp the good opportunity of large-scale construction of intelligent distribution system, to give full play to the potential of intelligent distribution network, to improve the efficiency of power consumption, to give full play to the potential of demand side management, and to further scientific, reasonable and economical use of electricity. Strengthening energy efficiency management lays the foundation for promoting the construction of power demand-side management information platform and long-effect mechanism and promoting the development of market-related business work, which plays an important guiding role in promoting the development of electric power demand-side management information platform and long-term mechanism.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM76;TP311.52
本文编号：2301142
[Abstract]:In recent years, the world's power industry has developed smart grid construction, advanced communication technology, distributed generation technology, advanced measurement technology, electric vehicles and other energy storage technologies to provide new technical support for demand-side management, and at the same time, time-sharing pricing. Real-time electricity price also provides a more effective economic incentive for demand-side response. Through its efforts in recent years, Zhejiang Electric Power Company has completed a number of smart grid pilot projects of the State Grid Corporation, which have been greatly upgraded in terms of "information technology, automation, and interaction," and also for the further development of intelligent electricity use. Energy efficiency management and demand-side optimization decisions create conditions. This paper takes Hangzhou Power supply Company as the object, from the integration of real-time multi-information sources such as power information and meteorological information, sets up the management platform of multi-information sources, and establishes the evaluation index of load characteristics, the methods of correlation analysis and prediction. In this paper, the potential of load response is deeply excavated, and a top-down hierarchical and sub-district optimal power consumption decision scheme and demand-side improvement measures are proposed. The analysis process is integrated to form a demand side management information platform for real-time power and meteorological information, which is based on the load characteristic analysis of multi-information sources. A system-substation feeder user predictive correction integrated model and hierarchical and zonal power optimization decision are established. The potential of demand-side management is analyzed. This will be helpful to grasp the good opportunity of large-scale construction of intelligent distribution system, to give full play to the potential of intelligent distribution network, to improve the efficiency of power consumption, to give full play to the potential of demand side management, and to further scientific, reasonable and economical use of electricity. Strengthening energy efficiency management lays the foundation for promoting the construction of power demand-side management information platform and long-effect mechanism and promoting the development of market-related business work, which plays an important guiding role in promoting the development of electric power demand-side management information platform and long-term mechanism.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM76;TP311.52
【参考文献】
相关期刊论文 前1条
1 康重庆,夏清,张伯明;电力系统负荷预测研究综述与发展方向的探讨[J];电力系统自动化;2004年17期
，本文编号：2301142
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