Market Implications and Pricing of Dynamic Reserve Policies for Systems With Renewables

被引:24
|
作者
Lyon, Joshua D. [1 ]
Wang, Fengyu [2 ]
Hedman, Kory W. [2 ]
Zhang, Muhong [1 ]
机构
[1] Arizona State Univ, Dept Ind Engn, Tempe, AZ 85287 USA
[2] Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA
基金
美国国家科学基金会;
关键词
Electric energy markets; locational reserve payments; power generation dispatch; power system economics; power system reliability; renewable energy; reserve requirements; reserve zones; unit commitment; STOCHASTIC SECURITY; ENERGY;
D O I
10.1109/TPWRS.2014.2377044
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
Static reserve policies are used within security-constrained unit commitment (SCUC) and security constrained economic dispatch (SCED) to ensure reliability. A common policy is that 10-min reserve must exceed the largest contingency. However, this condition does not guarantee reliability because voltage and thermal limits can hinder reserve deliverability. Many operators use zonal reserve markets to ensure reserves are dispersed across the grid. Such zonal models attempt to anticipate transmission bottlenecks, which is a difficult task when the future system state is uncertain. This paper examines the market implications of dynamic reserve policies used to mitigate uncertainty from renewable resources and contingencies. We study the market implications of policies recently proposed in the literature, such as hourly zones within day-ahead SCUC and an algorithm that formally disqualifies reserves that are expected to be undeliverable. A locational reserve pricing scheme is also proposed in connection with scenario-based reserve disqualification. Analysis on the RTS-96 test case shows that dynamic zones and reserve disqualification, along with the proposed compensation scheme, help direct reserve payments toward resources that more effectively respond to contingencies.
引用
收藏
页码:1593 / 1602
页数:10
相关论文
共 50 条
  • [1] Market Implications and Pricing of Dynamic Reserve Policies for Systems with Renewables
    Lyon, Joshua
    Wang, Fengyu
    Hedman, Kory
    Zhang, Muhong
    [J]. 2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2015,
  • [2] Impact of dynamic pricing on investment in renewables
    Correia-da-Silva, Joao
    Soares, Isabel
    Fernandez, Raquel
    [J]. ENERGY, 2020, 202
  • [3] MARKET RESTRUCTURING AND PRICING POLICIES
    TUINENBURG, K
    [J]. FOOD POLICY, 1988, 13 (01) : 27 - 36
  • [4] Effectiveness of climate policies: Carbon pricing vs. subsidizing renewables
    Gugler, Klaus
    Haxhimusa, Adhurim
    Liebensteiner, Mario
    [J]. JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 2021, 106
  • [5] REIMBURSEMENT AND PRICING OF INNOVATIVE MEDICINES: EU5 POLICIES AND IMPLICATIONS FOR MARKET ACCESS
    Nwogu, G.
    Brown, A.
    Falk, K.
    Murray, G.
    Pritchett, L.
    Wiesinger, A.
    [J]. VALUE IN HEALTH, 2015, 18 (07) : A551 - A552
  • [6] Demand response with locational dynamic pricing to support the integration of renewables
    Dupont, B.
    De Jonghe, C.
    Olmos, L.
    Belmans, R.
    [J]. ENERGY POLICY, 2014, 67 : 344 - 354
  • [7] PRICING POLICIES AND MARKET STRATEGY - AN EMPIRICAL NOTE
    PASS, C
    [J]. EUROPEAN JOURNAL OF MARKETING, 1971, 5 (03) : 94 - 98
  • [8] INFLUENCE OF MARKET CONDITIONS ON EQUIPMENT PRICING POLICIES
    GERRARD, AM
    [J]. CHEMICAL ENGINEER-LONDON, 1977, (321): : 372 - 372
  • [9] Pricing policies for the pharmaceutical market - An international perspective
    Ilgin, Y
    Eisen, R
    [J]. VALUE IN HEALTH, 2005, 8 (06) : A184 - A184
  • [10] Comparison of pricing policies for a computational grid market
    Sonmez, Omer Ozan
    Gursoy, Attila
    [J]. PARALLEL PROCESSING AND APPLIED MATHEMATICS, 2006, 3911 : 766 - 773