需求响应聚合调度信息通信技术及应用（英文）
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摘要
小型响应式可控负荷参与需求响应是由聚合商采用负荷聚合技术向电力系统提供需求响应服务。提出一种实现需求响应调用的两层分布式可伸缩调度通信模型,该模型用于实现不同角色参与的电力市场出清的日内调度和实时控制的异构系统之间的消息通信。日内调度要实现15 min区间的多区间调度优化,以及5 min区间的多区间实时控制,其间调度中心与聚合商之间的实时通信交换大量的价格、出力约束能数据来实现经济调度和控制优化。同时,聚合商为了解决负荷响应不确定问题,也要采用实时轮询的方式与需求响应资源提供方,即响应负荷进行查询、应答等通信。研究表明,DDS在实现研究窗口和实时调度控制协调方面有其明显的优势。
Load Aggregators( LA) delegate Demand Response Resources( DRRs) as a whole to bid is popular in electricity markets. This paper proposes an Information Architecture and Data Distribution System( DDS) to disseminate price signals clearly and effectively in a multi-agent system( MAS) made up by an LA agent and several load agents. We assume the MAS is fully integration of ICT infrastructure. As a protocol used to interact between agents within the MAS,IA supports pricing,time interval,proposed intention and service level related information exchange between agents. For emergency scenario,the fast and real-time communication is urged,so we propose a real time middleware DDS addressing publish-subscribe communications. The MAS,combined by IA and DDS,forms a transactive framework for scheduling,authorizing,controlling,and aggregating DRRs,enabling the technologies in improving the performances of the power grid.
Load Aggregators( LA) delegate Demand Response Resources( DRRs) as a whole to bid is popular in electricity markets. This paper proposes an Information Architecture and Data Distribution System( DDS) to disseminate price signals clearly and effectively in a multi-agent system( MAS) made up by an LA agent and several load agents. We assume the MAS is fully integration of ICT infrastructure. As a protocol used to interact between agents within the MAS,IA supports pricing,time interval,proposed intention and service level related information exchange between agents. For emergency scenario,the fast and real-time communication is urged,so we propose a real time middleware DDS addressing publish-subscribe communications. The MAS,combined by IA and DDS,forms a transactive framework for scheduling,authorizing,controlling,and aggregating DRRs,enabling the technologies in improving the performances of the power grid.
引文
[1]GKATZIKIS L,KOUTSOPOULOS I,SALONIDIS T. The Role of Aggregators in Smart Grid Demand Response Markets[J]. IEEE Journal on Selected Areas in Communications,2013,31(7):1247-1257.
[2]MAHMOUDI N,HEYDARIAN-FORUSHANI E,SHAFIEKHAH M,et al. A bottom-up approach for demand response aggregators’participation in electricity markets[J]. Electric Power Systems Research,2017,143:121-129.
[3]PEI W,DU Y,DENG W,et al. Optimal Bidding Strategy and Intramarket Mechanism of Microgrid Aggregator in RealTime Balancing Market[J]. IEEE Transactions on Industrial Informatics,2016,12(2):587-596.
[4]OMG. Data distribution service for real-time systems[S].OMG,Tech. Rep. OMG Available Specification formal 2007.
[5]JIN X,LIU J. Agent network topology and complexity[C]//International Joint Conference on Autonomous Agents and Multiagent Systems. ACM. 2003:1020-1021.
[6]AL-MADANI B,ALI H. Data Distribution Service(DDS)based implementation of Smart grid devices using ANSI C12. 19standard[J]. Procedia Computer Science,2017,110:394-401.
[7][Online]. Available:http://portals. omg. org/dds/omgdds-standard/.
[2]MAHMOUDI N,HEYDARIAN-FORUSHANI E,SHAFIEKHAH M,et al. A bottom-up approach for demand response aggregators’participation in electricity markets[J]. Electric Power Systems Research,2017,143:121-129.
[3]PEI W,DU Y,DENG W,et al. Optimal Bidding Strategy and Intramarket Mechanism of Microgrid Aggregator in RealTime Balancing Market[J]. IEEE Transactions on Industrial Informatics,2016,12(2):587-596.
[4]OMG. Data distribution service for real-time systems[S].OMG,Tech. Rep. OMG Available Specification formal 2007.
[5]JIN X,LIU J. Agent network topology and complexity[C]//International Joint Conference on Autonomous Agents and Multiagent Systems. ACM. 2003:1020-1021.
[6]AL-MADANI B,ALI H. Data Distribution Service(DDS)based implementation of Smart grid devices using ANSI C12. 19standard[J]. Procedia Computer Science,2017,110:394-401.
[7][Online]. Available:http://portals. omg. org/dds/omgdds-standard/.