A dynamic analysis of a demand curve-based capacity market proposal:: The PJM reliability pricing model

被引:89
|
作者
Hobbs, Benjamin F. [1 ]
Hu, Ming-Che
Inon, Javier G.
Stoft, Steven E.
Bhavaraju, Murty P.
机构
[1] Johns Hopkins Univ, Dept Geog & Environm Engn, Syst Anal & Econ Publ Decis Making Grp, Baltimore, MD 21218 USA
[2] PJM Interconnect, Norristown, PA USA
关键词
economics; power generation economics; power generation peaking capacity;
D O I
10.1109/TPWRS.2006.887954
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
Because of high generation adequacy standards in the power industry, some peaking capacity operates for a limited time during the year and may not receive sufficient energy revenues to meet its fixed costs. This is particularly true when energy prices are capped in order to mitigate market power. The northeastern U.S. independent system operators (ISOs) have responded to this issue by establishing capacity obligations for loads and markets for installed capacity, thus providing a capacity revenue stream to generators. The installed capacity (ICAP) markets in the northeastern U.S. markets are a response to this need for additional incentives to construct generation. The Federal Energy Regulatory Commission (FERC) has accepted the PJM Interconnection's (PJM) proposal to replace the present fixed ICAP requirement that is placed upon load serving entities (LSEs) with a demand curve-based system in which the ISO would be responsible for acquiring "residual'' capacity on behalf of LSEs. The demand curve approach pays more when reserve margins are smaller and provides a reduced incentive for investment when installed reserves are above the target. Another goal is to make revenues more predictable for generators, making investment less costly and, ultimately, lowering prices for consumers. A dynamic representative agent model is presented for projecting effects upon reserve margins, generator profitability, and consumer costs and is applied to alternative demand curves proposed for the PJM market. The consumer costs resulting from a sloped demand curve are robustly lower compared to the present fixed requirement under a wide range of assumptions concerning behavior of generation owners, including risk attitudes, bidding behavior, and willingness to build capacity as a function of forecast profit. ne cost savings arise from lower capital costs to generators due to reduced risk and risk premiums. Also, average installed capacity is less for the same level of reliability because of reduced fluctuations in installed reserves.
引用
收藏
页码:3 / 14
页数:12
相关论文
共 50 条
  • [1] PJM reliability pricing model - A summary and dynamic analysis
    Bhavaraju, Murty P.
    Hobbs, Benjamin
    Hu, Ming-Che
    [J]. 2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10, 2007, : 1653 - 1655
  • [2] Dynamic Analysis of Demand Curve Adjustment and Learning in Response to Generation Capacity Cost Dynamics in the PJM Capacity Market
    Hu, Ming-Che
    Hobbs, Benjamin F.
    [J]. 2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 3393 - 3398
  • [4] DCAMM: Dynamic Curve-based Automated Market Maker
    Jiang, Shunrong
    Chen, Jingwei
    Li, Fengjiao
    Geng, Haijun
    Chi, Haotian
    [J]. IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 4491 - 4496
  • [5] Mathematical Pricing Model in Dynamic Market with Demand Uncertainty
    Lin, Kuo-Wei
    [J]. INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 2013, 38 (08): : 43 - 57
  • [6] Mathematical pricing model in dynamic market with demand uncertainty
    Lin, Kuo-Wei
    [J]. International Journal of Applied Mathematics and Statistics, 2013, 38 (08): : 43 - 57
  • [7] A model proposal for IFRS 16 IBR adjustment based on bond market pricing
    Delgado-Vaquero, David
    Morales-Diaz, Jose
    Zamora-Ramirez, Constancio
    [J]. ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2022, : 2859 - 2892
  • [8] Analyzing Demand Response in a Dynamic Capacity Expansion Model for the European Power Market
    Maranon-Ledesma, Hector
    Tomasgard, Asgeir
    [J]. ENERGIES, 2019, 12 (15)
  • [9] Context-Based Dynamic Pricing with Partially Linear Demand Model
    Bu, Jinzhi
    Simchi-Levi, David
    Wang, Chonghuan
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35, NEURIPS 2022, 2022,
  • [10] Optimal pricing of the Taiwan carbon trading market based on a demand–supply model
    Wan-Yu Liu
    Qunwei Wang
    [J]. Natural Hazards, 2016, 84 : 209 - 242