投标
可再生能源
自动发电控制
计算机科学
频率调节
光伏系统
自动频率控制
风力发电
可靠性工程
最优化问题
储能
数学优化
电力系统
工程类
功率(物理)
电气工程
电信
经济
物理
微观经济学
量子力学
数学
算法
作者
Yuxin Ma,Zechun Hu,Yonghua Song
出处
期刊:IEEE Transactions on Sustainable Energy
[Institute of Electrical and Electronics Engineers]
日期:2022-10-01
卷期号:13 (4): 2331-2342
被引量:34
标识
DOI:10.1109/tste.2022.3194718
摘要
With the rapid growth of intermittent renewable energy sources, it is critical to ensure that renewable power generators have the capability to perform primary frequency response (PFR). This paper proposes a framework for using a shared battery energy storage system (BESS) to undertake the PFR obligations for multiple wind and photovoltaic (PV) power plants and provide commercial automatic generation control (AGC) service in the ancillary service market at the same time. Furthermore, an optimal bidding strategy in the hour-ahead energy and ancillary service markets is proposed to maximize the BESS' benefits, considering frequency regulation performance, battery degradation cost, and the state of charge (SoC) limits. The optimization model is first built as a chance-constrained optimization problem and then transformed into mixed-integer quadratically constrained programming using Wasserstein metric-based distributionally robust optimization technique. Simulation results show that the proposed optimal bidding strategy and solution method can effectively take advantage of a BESS to perform PFR and provide AGC services simultaneously and improve its economic benefits.
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