Co-Optimization of Power and Reserves in Dynamic T&D Power Markets With Nondispatchable Renewable Generation and Distributed Energy Resources

被引:139
作者
Caramanis, Michael [1 ]
Ntakou, Elli [1 ]
Hogan, William W. [2 ]
Chakrabortty, Aranya [3 ]
Schoene, Jens [4 ]
机构
[1] Boston Univ, Boston, MA 02215 USA
[2] Harvard Univ, JFK Sch Govt, Cambridge, MA 02138 USA
[3] N Carolina State Univ, Raleigh, NC 27695 USA
[4] Enernex, Knoxville, TN 37932 USA
基金
美国国家科学基金会;
关键词
Distributed power market clearing; distribution network locational marginal prices (DLMP); proximal message passing (PMP); reactive power pricing; reserve pricing; HVAC CHILLER CONTROL; SPEED HEAT-PUMP; FREQUENCY REGULATION; DISTRIBUTION-SYSTEMS; DEMAND RESPONSE; BATTERY MODEL; WIDE-RANGE; DESIGN; FLOW; COMPUTATION;
D O I
10.1109/JPROC.2016.2520758
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
Marginal-cost-based dynamic pricing of electricity services, including real power, reactive power, and reserves, may provide unprecedented efficiencies and system synergies that are pivotal to the sustainability of massive renewable generation integration. Extension of wholesale high-voltage power markets to allow distribution network connected prosumers to participate, albeit desirable, has stalled on high transaction costs and the lack of a tractable market clearing framework. This paper presents a distributed, massively parallel architecture that enables tractable transmission and distribution locational marginal price (T&DLMP) discovery along with optimal scheduling of centralized generation, decentralized conventional and flexible loads, and distributed energy resources (DERs). DERs include distributed generation; electric vehicle (EV) battery charging and storage; heating, ventilating, and air conditioning (HVAC) and combined heat & power (CHP) microgenerators; computing; volt/var control devices; grid-friendly appliances; smart transformers; and more. The proposed iterative distributed architecture can discover T& DLMPs while capturing the full complexity of each participating DER's intertemporal preferences and physical system dynamics.
引用
收藏
页码:807 / 836
页数:30
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