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Energies 2015, 8(10), 11187-11202; doi:10.3390/en81011187

Controllable Load Management Approaches in Smart Grids

Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
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Author to whom correspondence should be addressed.
Academic Editor: Hossam A. Gabbar (Gaber)
Received: 2 June 2015 / Revised: 28 September 2015 / Accepted: 29 September 2015 / Published: 9 October 2015
(This article belongs to the Special Issue Energy Conservation in Infrastructures)
View Full-Text   |   Download PDF [333 KB, uploaded 9 October 2015]   |  

Abstract

With rapid smart grid technology development, the customer can actively participate in demand-side management (DSM) with the mutual information communication between the distributor operation company and the smart devices in real-time. Controllable load management not only has the advantage of peak shaving, load balance, frequency regulation, and voltage stability, but is also effective at providing fast balancing services to the renewable energy grid in the distributed power system. The load management faces an enormous challenge as the customer has a large number of both small residential loads and dispersed renewable sources. In this paper, various controllable load management approaches are discussed. The traditional controllable load approaches such as the end users’ controllable appliances, storage battery, Vehicle-to-Grid (V2G), and heat storage are reviewed. The “broad controllable loads” management, such as the microgrid, Virtual Power Plant (VPP), and the load aggregator are also presented. Furthermore, the load characteristics, control strategies, and control effectiveness are analyzed. View Full-Text
Keywords: controllable load; load management; renewable energy; microgrid; active distribution system; demand response controllable load; load management; renewable energy; microgrid; active distribution system; demand response
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Shen, J.; Jiang, C.; Li, B. Controllable Load Management Approaches in Smart Grids. Energies 2015, 8, 11187-11202.

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