| 引用本文: | 李洋,蔡志远,刘海涛,苏剑,李蕊.广域分布式电源运营管控系统[J].电力自动化设备,2018,(3): |
| LI Yang,CAI Zhiyuan,LIU Haitao,SU Jian,LI Rui.Management and control system of wide-area distributed generation[J].Electric Power Automation Equipment,2018,(3): |
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| 摘要: |
| 大规模分布式电源的接入，将给配电网安全稳定运行带来隐患，并给广域分布式电源的运营管理带来巨大挑战。针对大范围分布式电源并网后会产生海量异构、多态的数据，重点围绕大范围、大规模、高密度分布式电源的应用场景，分析分布式电源运营管控系统中各类数据的逻辑关系和使用价值，设计分布式电源运营管控系统业务架构、应用架构、数据架构、技术架构和物理架构。基于分布式电源运营管控系统，开展广域分布式电源大数据挖掘分析与应用。从技术指标、激励政策、市场需求、成本效益、政治环境5个方面对广域分布式电源行业发展景气进行评价；运用集值统计和合成指数相结合的方法实现从定性、定量等多维度判别和预测分布式电源的景气情况，实现对未来发展态势的预判，从而为大规模分布式电源的运营管理提供整体技术解决方案。 |
| 关键词: 分布式电源 运营管控系统 架构设计 大数据 景气指数 |
| DOI：10.16081/j.issn.1006-6047.2018.03.014 |
| 分类号:TM761 |
| 基金项目:国家重点研发计划项目(2016YFB0900400)；国网公司科技项目(面向电改的分布式电源与微电网运营模式研究) |
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| Management and control system of wide-area distributed generation |
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LI Yang1, CAI Zhiyuan1, LIU Haitao2, SU Jian2, LI Rui2
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1.College of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China;2.China Electric Power Research Institute, Beijing 100192, China
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| Abstract: |
| The integration of large scale distributed generation will bring danger to the safe and stable operation of distribution network and great challenge to the operation and management of wide-area distributed generation. Since the integration of wide range distributed generation will bring mass heterogeneous and polymorphic data, aiming at the application of wide range, large scale and high density distributed generation, the logical relation and usage value of various data in the distributed generation operation and management system are analyzed, and the business architecture, application architecture, data architecture, technical architecture and physical structure of the system are designed. Based on the system, the analysis and application of big data mining for wide-area distributed generation are carried out. The prosperity of wide-area distributed generation is evaluated from five aspects, i. e. technology index, motivation policy, market demand, cost and benefit, and policy environment. The prosperity of distributed generation is qualitatively and quantitatively justified and forecasted by the combination of set-valued statistics and synthetic index, which realizes the pre-judgment of future development trend and provides the overall technical solution scheme for management and control of large scale distributed generation. |
| Key words: distributed power generation management and control system architecture design big data prosperity index |
