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
相关论文
共 50 条
  • [41] Nonlinear Complementarity Problems for n-Player Strategic Chance-constrained Games
    Zhang, Shangyuan
    Hadji, Makhlouf
    Lisser, Abdel
    Mezali, Yacine
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH AND ENTERPRISE SYSTEMS (ICORES), 2021, : 94 - 104
  • [42] ON BALUT ALGORITHM AND NP-COMPLETENESS FOR A CHANCE-CONSTRAINED SCHEDULING PROBLEM
    KISE, H
    IBARAKI, T
    MANAGEMENT SCIENCE, 1983, 29 (03) : 384 - 388
  • [43] A CHANCE-CONSTRAINED STOCHASTIC MODEL PREDICTIVE CONTROL PROBLEM WITH DISTURBANCE FEEDBACK
    Tan, Yuan
    Cao, Qingyuan
    Li, Lan
    Hu, Tianshi
    Su, Min
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2021, 17 (01) : 67 - 79
  • [44] Application of chance-constrained programming for stochastic group shop scheduling problem
    Ahmadizar, Fardin
    Ghazanfari, Mehdi
    Ghomi, Seyyed Mohammad Taghi Fatemi
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 42 (3-4): : 321 - 334
  • [45] Fuzzy chance-constrained programming for capital budgeting problem with fuzzy decisions
    Gao, JW
    Zhao, JH
    Ji, XY
    FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS, 2005, 3613 : 304 - 311
  • [46] Application of chance-constrained programming for stochastic group shop scheduling problem
    Fardin Ahmadizar
    Mehdi Ghazanfari
    Seyyed Mohammad Taghi Fatemi Ghomi
    The International Journal of Advanced Manufacturing Technology, 2009, 42 : 321 - 334
  • [47] Approximating the chance-constrained capacitated vehicle routing problem with robust optimization
    Karina Thiebaut
    Artur Pessoa
    4OR, 2023, 21 : 513 - 531
  • [48] Application of chance-constrained programming for stochastic group shop scheduling problem
    Ahmadizar, Fardin
    Ghazanfari, Mehdi
    Fatemi Ghomi, Seyyed Mohammad Taghi
    International Journal of Advanced Manufacturing Technology, 2009, 42 (3-4): : 321 - 334
  • [49] Stochastic vendor selection problem: chance-constrained model and genetic algorithms
    Shiwei He
    Sohail S. Chaudhry
    Zhonglin Lei
    Wang Baohua
    Annals of Operations Research, 2009, 168
  • [50] Stochastic vendor selection problem: chance-constrained model and genetic algorithms
    He, Shiwei
    Chaudhry, Sohail S.
    Lei, Zhonglin
    Wang Baohua
    ANNALS OF OPERATIONS RESEARCH, 2009, 168 (01) : 169 - 179