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

Michael Caramanis | Zendy; Elli Ntakou | Zendy; William W. Hogan | Zendy; Aranya Chakrabortty | Zendy; Jens Schoene | Zendy

Open Access

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

Author(s) -

Michael Caramanis,

Elli Ntakou,

William W. Hogan,

Aranya Chakrabortty,

Jens Schoene

Publication year - 2016

Publication title -

proceedings of the ieee

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.383

H-Index - 287

eISSN - 1558-2256

pISSN - 0018-9219

DOI - 10.1109/jproc.2016.2520758

Subject(s) - general topics for engineers , engineering profession , aerospace , bioengineering , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , fields, waves and electromagnetics , geoscience , nuclear engineering , robotics and control systems , signal processing and analysis , transportation , power, energy and industry applications , communication, networking and broadcast technologies , photonics and electrooptics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research