Targeted demand response for mitigating price volatility and enhancing grid reliability in synthetic Texas electricity markets

被引:13
作者
Lee, Kiyeob [1 ]
Geng, Xinbo [1 ]
Sivaranjani, S. [1 ]
Xia, Bainan [2 ]
Ming, Hao [3 ]
Shakkottai, Srinivas [1 ]
Xie, Le [1 ]
机构
[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
[2] Breakthrough Energy, Kirkland, WA 98033 USA
[3] Southeast Univ, Sch Elect Engn, Nanjing, Peoples R China
关键词
IMPACT; GENERATION; RESILIENCY; SYSTEMS; COSTS;
D O I
10.1016/j.isci.2021.103723
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Demand response (DR) is rapidly gaining attention as a solution to enhance the grid reliability with deep renewable energy penetration. Although studies have demonstrated the benefits of DR in mitigating price volatility, there is limited work considering the choice of locations for DR for maximal impact. We reveal that very small load reductions at a handful of targeted locations can lead to a significant decrease in price volatility and grid congestion levels based on a synthetic Texas grid model. We achieve this through exploiting the highly nonlinear nature of congestion dynamics and by strategically selecting DR locations. We demonstrate that we can similarly place energy storage to achieve an equivalent impact. Our findings suggest that targeted DR at specific locations, rather than acrossthe-board DR, can have substantial benefits to the grid. These findings can inform energy policy makers and grid operators how to target DR initiatives for improving grid reliability.
引用
收藏
页数:20
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