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文章摘要
需求响应调度树的构建及评价方法研究
Research on the Construction and Evaluation of Demand Response Scheduling Tree
Received:October 24, 2017  Revised:October 24, 2017
DOI:
中文关键词: 电力需求响应  调度树算法  阻塞率  容量占用数  累积分布分析
英文关键词: power  demand response, algorithm  of scheduling  tree, blocking  rate, capacity  occupancy, cumulative  distribution analysis
基金项目:国家电网公司科技项目“需求响应标准体系研究及关键标准的推广应用
Author NameAffiliationE-mail
Qi Bing School of Electrical Engineering,North China Electric Power University qbing@ncepu.edu.cn 
Liu Sifang* School of Electrical Engineering,North China Electric Power University liusifang2008@126.com 
Li Bin School of Electrical Engineering,North China Electric Power University direfish@163.com 
Chen Songsong China Electric Power Research Institute,Haidian District chensongsong@epri.sgcc.com.cn 
Dong Mingyu China Electric Power Research Institute,Haidian District dongmingyu@epri.sgcc.com.cn 
Qiao Xueming State Grid Shandong Electric Power Company 13561832200@163.com 
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中文摘要:
      电力需求响应以其较低的运行成本和实现电力系统供需平衡的较高潜力逐渐成为智能电网研究的新热点。需求响应技术可以通过电价或激励信号使用户做出响应,改变电力消费模式,为用户侧带来经济效益,为电网侧实现削峰填谷和电力系统安全稳定运行提供可调度资源。本文基于需求响应业务的发展现状,在OpenADR标准框架下对比了寻求最小生成树的Kruskal算法和Prim算法,并以此为基础,以苏州城区光缆路由的网络拓扑图为例,构建出物理距离最小的基本调度树和基于考虑链路损坏问题的多播调度树。最后,从阻塞率和容量占用数的角度,分别对由容量矩阵和距离矩阵所构建的需求响应调度树进行评价,并进行累积分布分析。
英文摘要:
      Power demand response is becoming a new research hotspot in smart grid due to its lower operating costs and higher potential of achieving the balance of supply and demand in power system. Demand response makes users respond to electricity price or incentive signals, change the power consumption mode, bring economic benefits to the user side, and provide schedulable resources for the realization of peak load shifting, as well as the secure and stable operation of power system. Based on the developing situation of demand response, this paper makes a contrast between Kruskal and Prim algorithm, seeking for the minimum spanning tree under OpenADR standard framework. Taking the network topology of optical cable routing scheme of Suzhou as an example, the basic scheduling tree with the minimum physical distance and the multicast scheduling tree out of the consideration of link damage are both constructed. Finally, the scheduling trees based on capacity matrix and distance matrix are evaluated from the perspective of blocking rate and capacity occupancy, and the cumulative distribution analysis is carried out.
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