Co-planning of transmission and energy storage by iteratively including extreme periods in time-series aggregation

• DOI: 10.1016/j.egyr.2023.04.183
• Publication Date: 2023-04-24T16:09:50Z
• Authors: Zhiyuan Li; Lizhang Cong; Jia Li; Qian Yang; Xuxia Li; Peng Wang
• Keywords: Extreme periods; Time series aggregation; 0202 electrical engineering, electronic engineering, information engineering; Electrical engineering. Electronics. Nuclear engineering; 02 engineering and technology; Reliability; Iterative; Transmission and energy storage; TK1-9971

The co-planning problem of transmission and energy storage system (ESS) requires a large amount historical forecasted input data to account for the volatility renewable loads. However, usually make planning difficult solve, so time series aggregation is often used reduce computational complexity. Nevertheless, it guarantee reliability operation on whole data. Therefore, this paper proposes an iterative method select extreme scenarios, designs two indicators considering power balance peak shaving capacity situation. Based these indicators, periods maximum load shedding curtailment will be selected as scenarios in results operational optimization problem. We iteratively add set until can adequately met. At same time, order ensure effectiveness statuses thermal units those are also taken into account. Our tested IEEE RTS-24 with some modification. show that our superior simply selects scenarios. Meanwhile, we perform sensitivity analysis price storage.