An electricity generation planning model incorporating demand response

被引:47
作者
Choi, Dong Gu [1 ]
Thomas, Valerie M. [1 ,2 ]
机构
[1] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Sch Publ Policy, Atlanta, GA 30332 USA
关键词
Electric power system; Optimization model; Demand elasticity; POWER; PRICES; OPTIMIZATION; INVESTMENTS; EXPANSION; PROFITS; CAPTURE; FUTURE; COST;
D O I
10.1016/j.enpol.2011.12.008
中图分类号
F [经济];
学科分类号
02 ;
摘要
Energy policies that aim to reduce carbon emissions and change the mix of electricity generation sources, such as carbon cap-and-trade systems and renewable electricity standards, can affect not only the source of electricity generation, but also the price of electricity and, consequently, demand. We develop an optimization model to determine the lowest cost investment and operation plan for the generating capacity of an electric power system. The model incorporates demand response to price change. In a case study for a U.S. state, we show the price, demand, and generation mix implications of a renewable electricity standard, and of a carbon cap-and-trade policy with and without initial free allocation of carbon allowances. This study shows that both the demand moderating effects and the generation mix changing effects of the policies can be the sources of carbon emissions reductions, and also shows that the share of the sources could differ with different policy designs. The case study provides different results when demand elasticity is excluded, underscoring the importance of incorporating demand response in the evaluation of electricity generation policies. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:429 / 441
页数:13
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