电力系统仿真
约束(计算机辅助设计)
计算
电池(电)
二进制数
数学优化
计算机科学
存储管理
单位(环理论)
可靠性工程
工程类
功率(物理)
电力系统
数学
算术
算法
操作系统
物理
机械工程
数学教育
量子力学
作者
Yonghong Chen,Ross Baldick
出处
期刊:IEEE Transactions on Power Systems
[Institute of Electrical and Electronics Engineers]
日期:2022-01-19
卷期号:37 (5): 3995-4005
被引量:32
标识
DOI:10.1109/tpwrs.2022.3144241
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.
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