Market Implications of Short-Term Reserve Deliverability Enhancement

被引:10
作者
Wang, Fengyu [1 ]
Chen, Yonghong [2 ]
机构
[1] New Mexico State Univ, Klipsch Sch Elect & Comp Engn, Las Cruces, NM 88003 USA
[2] Midcontinent Independent Syst Operator MISO, Carmel, IN 46032 USA
基金
美国国家科学基金会;
关键词
MISO communication; Sensitivity; Security; Pricing; Robustness; Uncertainty; Locational reserve payments; power generation dispatch; power system economics; reserve requirements; reserve zones; short-term reserve; unit commitment; STOCHASTIC SECURITY; ENERGY;
D O I
10.1109/TPWRS.2020.3017021
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
Midcontinent Independent System Operator (MISO) plans to introduce 30-minute short-term reserve (STR) to address 30 minutes system flexibility needs. Transmission bottlenecks in the power system may inhibit the deliverability of STR. Insufficient deliverable reserve may require additional operator manual adjustments, which may be uneconomic and distort the market price signal. To improve reserve deliverability, event-based zonal STR clearing model and nodal STR clearing model are proposed to distribute reserve across the grid. This paper compares reserve deliverability and market clearing prices between the zonal STR model and the nodal STR model. A new design on penalty function is proposed in this paper to reflect the true value of security constraints for reserve deployment with the consideration of multiple events. Analysis of MISO test cases shows that the zonal approach is imprecise and may not guarantee the actual post-event flows within the physical limits. Nodal STR model can improve the reserve deliverability, market efficiency, and price signal.
引用
收藏
页码:1504 / 1514
页数:11
相关论文
共 29 条
[1]   Extracting Appropriate Nodal Marginal Prices for All Types of Committed Reserve [J].
Akbary, Paria ;
Ghiasi, Mohammad ;
Pourkheranjani, Mohammad Reza Rezaie ;
Alipour, Hamidreza ;
Ghadimi, Noradin .
COMPUTATIONAL ECONOMICS, 2019, 53 (01) :1-26
[2]  
[Anonymous], 2012, D698 ASTM
[3]   Energy and reserve pricing in security and network-constrained electricity markets [J].
Arroyo, JM ;
Galiana, FD .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) :634-643
[4]   Market-clearing with stochastic security - Part I: Formulation [J].
Bouffard, F ;
Galiana, FD ;
Conejo, AJ .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) :1818-1826
[5]   Stochastic security for operations planning with significant wind power generation [J].
Bouffard, Francois ;
Galiana, Francisco D. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (02) :306-316
[6]  
CAISO, 2007, INTR CONG
[7]  
CAISO, 2019, 2018 ANN REP MARK IS
[8]   A Distributed Framework for Solving and Benchmarking Security Constrained Unit Commitment With Warm Start [J].
Chen, Yonghong ;
Wang, Fengyu ;
Ma, Yaming ;
Yao, Yiyun .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (01) :711-720
[9]   Improving Large Scale Day-Ahead Security Constrained Unit Commitment Performance [J].
Chen, Yonghong ;
Casto, Aaron ;
Wang, Fengyu ;
Wang, Qianfan ;
Wang, Xing ;
Wan, Jie .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (06) :4732-4743
[10]   Incorporating Post Zonal Reserve Deployment Transmission Constraints Into Energy and Ancillary Service Co-Optimization [J].
Chen, Yonghong ;
Gribik, Paul ;
Gardner, Joe .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (02) :537-549