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Chapter 16





             Multistage and decentralized


             operations of electric vehicles
             within the California demand


             response markets



             Bin Wang, Rongxin Yin, Doug Black and Cy Chan
             Lawrence Berkeley National Laboratory, Berkeley, CA, United States



             16.1 Introduction
             There has been an increasing deployment of electric and plug-in hybrid elec-
             tric vehicles (EVs) in the market, which has great potential to significantly
             reduce the consumption of carbon fuels, air pollution, and carbon emissions.
             Regarding the integration of EVs into the electric power system, an early
             study [1] proposes a conceptual framework composed of the grid technical
             operation and the electricity markets environment. Case study results indicate
             that the adoption of advanced centralized EV charging control strategies
             allows the integration of a larger number of EVs in the grid, without signifi-
             cant amount of grid upgrades. In addition, since EV battery is capable of
             providing fast compensation to the grid, the adoption of local controls allows
             a better operation performance in islanded operation mode and in cases with
             more penetration of renewable energy source (e.g., wind and photovoltaic).
             From the high-level perspective of distributed loads in the power system, the
             studies [2,3] discuss conceptual frameworks for achieving controllability of
             electric loads to provide power system control services as well as grid ser-
             vices [i.e., demand response (DR), capacity, ancillary service]. It points out
             that uncoordinated load control of EVs can create a new load peak after the
             original peak due to the similar switching on time in the early morning.
             Economic analysis of optimal integration of EVs in microgrid has also been
             investigated in recent work [4 10], which consider all kinds of distributed
             energy resource (DER), such as distributed generators, EVs, grid, and load in
             the case studies.


             Decision Making Applications in Modern Power Systems. DOI: https://doi.org/10.1016/B978-0-12-816445-7.00016-5
             © 2020 Elsevier Inc. All rights reserved.                   411
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