Title :
Enabling the participation of domestic consumer based VPPs in DR programs using near real time control over LTE networks
Author :
Manaz, M.A.M. ; Liyanage, K.M. ; Ekanayake, J.B.
Author_Institution :
Dept. of Electron. & Comput. Eng., Sri Lanka Inst. of Inf. Technol., Malabe, Sri Lanka
Abstract :
Smart Grid is expected to improve the reliability and efficiency while reducing the carbon footprint of energy sector. The incorporation of renewable generations at customer premises is a viable method to increase the renewable component of generation in Smart Grid. However, the random and intermittent nature of power generation is an inherent challenge for the operation of power grids with high penetration of renewable generation. Coordinating the operation of Distributed Energy Resources (DER) that includes controllable loads and storage too to achieve Virtual Power Plant (VPP) functionality has yielded amicable results in mitigating these fluctuations. This, in turn, could enable effective market participation by domestic consumers through an aggregator who can estimate the day´s renewable generation pattern and coordinate the operation of DER to meet utility´s Demand Response (DR) needs effectively. Such operation requires the exchange of significant volume of information between aggregator and consumers. By utilizing public data networks to exchange control and system information, the cost of implementing such operation could be reduced significantly. This paper reports the results of a co-simulation study that analyzed the feasibility of implementing VPP functionality through a coordinated control scheme implemented using a LTE network Successful such implementations enable an aggregator to participate in a DR program that demands the control of active power flow in the distribution feeder. The simulation platform developed for this study comprises a real-time power system simulation set-up and a commercial LTE based communication network.
Keywords :
Long Term Evolution; demand side management; distributed power generation; distribution networks; environmental factors; load flow control; power generation reliability; power markets; power plants; renewable energy sources; smart power grids; virtualisation; DER; DR programs; LTE networks; Long Term Evolution; VPP functionality; active power flow; carbon footprint; communication network; controllable loads; coordinated control scheme; demand response; distributed energy resources; distribution feeder; domestic consumer; energy sector; near real time control; power generation; power grids; power system simulation set-up; public data networks; renewable generation pattern; renewable generations; smart grid; virtual power plant; Cogeneration; Density estimation robust algorithm; Fluctuations; IP networks; Load flow; Real-time systems; Renewable energy sources; 4G; LTE; Virtual Power Plant; co-simulation; coordinated control; demand response; distributed energy resources; smart grid;
Conference_Titel :
Industrial and Information Systems (ICIIS), 2014 9th International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4799-6499-4
DOI :
10.1109/ICIINFS.2014.7036650