Risk-Limiting Real-Time Economic Dispatch in a Power System with Flexibility Resources

Hongji Lin, Chongyu Wang, Fushuan Wen, Chung-Li Tseng, Jiahua Hu, Li Ma and Menghua Fan
Additional contact information
Hongji Lin: School of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, China
Chongyu Wang: School of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, China
Fushuan Wen: Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
Chung-Li Tseng: UNSW Business School, The University of New South Wales, Sydney NSW 2052, Australia
Jiahua Hu: Economic Research Institute of State Grid Zhejiang Electric Power Co., Ltd., No. 59 Jiefang East Rd., Hangzhou 310008, China
Li Ma: State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
Menghua Fan: State Grid Energy Research Institute Co., Ltd., Beijing 102209, China

Energies, 2019, vol. 12, issue 16, 1-23

Abstract: The integration of numerous intermittent renewable energy sources (IRESs) poses challenges to the power supply-demand balance due to the inherent intermittent and uncertain power outputs of IRESs, which requires higher operational flexibility of the power system. The deployment of flexible ramping products (FRPs) provides a new alternative to accommodate the high penetration of IRESs. Given this background, a bi-level risk-limiting real-time unit commitment/real-time economic dispatch model considering FRPs provided by different flexibility resources is proposed. In the proposed model, the objective is to maximize the social surplus while minimizing the operational risk, quantified using the concept of conditional value-at-risk (CVaR). Energy and ramping capabilities of conventional generating units during the start-up or shut-down processes are considered, while meeting the constraints including unit start-up/shut-down trajectories and ramping up/down rates in consecutive time periods. The Karush–Kuhn–Tucker (KKT) optimality conditions are then used to convert the bi-level programming problem into a single-level one, which can be directly solved after linearization. The modified IEEE 14-bus power system is employed to demonstrate the proposed method, and the role of FRPs in enhancing the system flexibility and improving the accommodation capability for IRESs is illustrated in some operation scenarios of the sample system. The impact of the confidence level in CVaR on the system operational flexibility is also investigated through case studies. Finally, a case study is conducted on a regional power system in Guangdong Province, China to demonstrate the potential of the proposed method for practical applications.

Keywords: flexible ramping products; intermittent renewable energy sources; operational flexibility; operational risk; real-time economic dispatch; real-time unit commitment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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