Special Issue "Demand Response in Electricity Markets"
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: closed (31 October 2018) | Viewed by 29753
Interests: demand response; electricity market; smart grid; power system operation; ancillary services; grey-box modelling; forecasting; control theory; bidding strategies
Interests: Bulk power system operation and electricity market; Battery characterization, optimal sizing and operation in different applications; Aggregation of small storage and demand response resources; Demand response at the device level
Future power system will host significant amount of renewable generation inevitably. These energy resources are naturally undispatchable and unpredictable, and do not necessarily follow the load demand. Therefore, safe and secure operation of the future power system will require extra flexibility in real-time operation to compensate the varying generation. This will not be possible by large synchronous rotating machines, as they are slow, less economically efficient and polluting. In this regard, Demand Response Programs (DRP) are attracting a lot of attention. Preliminary studies on Demand Response (DR) resources in integrated energy systems have already projected incredible potential to act as flexibility resources for power systems operations. Nevertheless, there are still many questions and concerns related to DR resources involvement into the electricity and energy markets, which have to be properly addressed. This Special Issue is an attempt to encourage researchers from different discipline to offer solutions and algorithms to effectively incorporate DR resources in electricity and energy markets. These include the conventional day-ahead and real-time wholesale markets as well as P2P electricity trading considering stochasticity, unpredictability, and non-linearity of the phenomenon. In this framework, physical and virtual energy storages and electric vehicles are also considered as DR resources. A special focus will be on how to model, forecast and control flexible resources in intelligent and integrated energy systems.Prof. Dr. Henrik Madsen
Dr. Seyyed Ali Pourmousavi Kani
Manuscript Submission Information
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- demand response aggregation
- electric vehicle
- energy storages
- market bidding mechanism
- demand response in P2P trading
- ancillary services
- forecasting and control of flexibility
- stochastic demand response
- market operation with demand response
- dynamic flexibility modelling and control
- integrated energy systems
- ICT solutions for demand response