Computing a Strategic Decarbonization Pathway: A Chance-Constrained Equilibrium Problem

被引:2
作者
Kim, Jip [1 ]
Mieth, Robert [1 ]
Dvorkin, Yury [1 ]
机构
[1] NYU, Dept Elect & Comp Engn, Tandon Sch Engn, New York, NY 11201 USA
关键词
Generators; Regulators; Standards; Electricity supply industry; Planning; Uncertainty; Stochastic processes; Decarbonization; equilibrium problem with equilibrium constraints; progressive hedging; regulatory competition; renewable portfolio standard; STOCHASTIC MATHEMATICAL PROGRAMS; OPTIMAL POWER-FLOW; GENERATION EXPANSION; ELECTRICITY MARKETS; POLICY; OPTIMIZATION; UNCERTAINTY;
D O I
10.1109/TPWRS.2020.3038840
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
US transmission systems and wholesale electricity markets, albeit federally regulated, often span across multiple state jurisdictions. In this environment, state regulators can strategically exploit this techno-economic coupling to advance their clean energy policy goals at the expense of neighboring jurisdictions. This paper investigates strategic regulatory competition to understand its effect on achieving Renewable Portfolio Standards (RPS). We formulate a chance-constrained equilibrium problem with equilibrium constraints (CC-EPEC), which considers multiple state regulators, acting in coordination with in-state power companies, to implement RPS goals in the least-cost manner. To solve this CC-EPEC, we customize a Progressive Hedging (PH) algorithm. The case study uses the CC-EPEC and PH algorithm to analyze the effects of state regulatory competition in the ISO New England system.
引用
收藏
页码:1910 / 1921
页数:12
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