Battery Storage Formulation and Impact on Day Ahead Security Constrained Unit Commitment

被引:21
作者
Chen, Yonghong [1 ]
Baldick, Ross [2 ]
机构
[1] Midcontinent Independent Syst Operator Inc MISO, Carmel, IN 46032 USA
[2] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
关键词
Batteries; State of charge; MISO communication; Generators; Sufficient conditions; Analytical models; Security; Mixed-integer programming; storage; tight formulation; CAPACITY; OPTIMIZATION; GENERATION;
D O I
10.1109/TPWRS.2022.3144241
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
This paper discusses battery storage formulations and analyzes the impact of the constraints on the computational performance of security constrained unit commitment (SCUC). Binary variables are in general required due to mutual exclusiveness of charging and discharging modes. We use valid inequalities to improve the SOC constraints. Adding batteries to the MISO day ahead market clearing cases reveals the impact of binary variables and the valid inequalities on SCUC solving time. Warm start and lazy constraint techniques are applied to improve the performance and make the valid inequalities more effective, reducing computation time to acceptable levels for implementation.
引用
收藏
页码:3995 / 4005
页数:11
相关论文
共 18 条
[1]  
[Anonymous], 2019, EN STOR ASS REP EN E
[2]  
[Anonymous], 2018, FERC order 841, electric storage participation in markets operated by regional transmission organizations and independent system operators
[3]   Optimization of pumped storage capacity in an isolated power system with large renewable penetration [J].
Brown, Paul D. ;
Pecas Lopes, J. A. ;
Matos, Manuel A. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (02) :523-531
[4]   Optimal operation and hydro storage sizing of a wind-hydro power plant [J].
Castronuovo, ED ;
Lopes, JAP .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2004, 26 (10) :771-778
[5]   A High Performance Computing Based Market Economics Driven Neighborhood Search and Polishing Algorithm for Security Constrained Unit Commitment [J].
Chen, Yonghong ;
Pan, Feng ;
Holzer, Jesse ;
Rothberg, Edward ;
Ma, Yaming ;
Veeramany, Arun .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (01) :292-302
[6]   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
[7]   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
[8]  
Giacomoni A., 2020, PROC FERC TECH C, P1
[9]  
Gurobi online documentation, DOCUMENTATION
[10]  
Huang B., 2021, OPTIMIZATION FORMULA