Optimal Virtual Power Plant Operational Regime under Reserve Uncertainty

Wang，Han1; Jia，Youwei2; Lai，Chun Sing3; Li，Kang4

2022

10.1109/TSG.2022.3153635

IEEE Transactions on Smart Grid   影响因子和分区

1949-3053

1949-3061

Virtual power plant (VPP) has become an important resource for reserve provision owing to its fast-responding capability. In this paper, an optimal VPP operational regime considering reserve uncertainty is proposed, which includes a novel day-ahead offering strategy and a real-time dispatching model. At the day-ahead stage, the offering strategy gives the VPP’s price-dependent offers in the energy market under multiple uncertainties on market price, renewable generation, and calls of reserve deployment. A hybrid stochastic minimax regret (MMR) model is proposed to facilitate making offering decisions in the electricity market. At the real-time dispatching stage, generation scheduling can be realized based on the MMR criterion in an online fashion. To alleviate the intrinsic conservativeness of the dispatching model, a self-adaptive algorithm is also proposed to instantly modify the confidence bounds. The proposed regime is comprehensively tested through extensive case studies, which demonstrate the effectiveness of our method in obtaining operational decisions that are less conservative.

Dispatching Optimization price-dependent offering strategy Probability distribution Real-time systems Renewable energy sources secondary reserve self-adaptive. stochastic minimax regret Stochastic processes Uncertainty Uncertainty

EI

英语

第一

20220911726827

Adaptive algorithms ; Interactive computer systems ; Optimization ; Power markets ; Probability distributions ; Random processes ; Renewable energy resources ; Stochastic models ; Stochastic systems

Energy Resources and Renewable Energy Issues:525.1 ; Digital Computers and Systems:722.4 ; Control Systems:731.1 ; Optimization Techniques:921.5 ; Probability Theory:922.1 ; Systems Science:961

2-s2.0-85125344670

Scopus

1.Department of Electrical and Electronic Engineering and the University Key Laboratory of Advanced Wireless Communication of Guangdong Province, Southern University of Science and Technology, Shenzhen, 518055, China, and also with the School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, U.K.
2.Department of Electrical and Electronic Engineering and the University Key Laboratory of Advanced Wireless Communication of Guangdong Province, Southern University of Science and Technology, Shenzhen, 518055, China.
3.Brunel Interdisciplinary Power Systems Research Centre, Department of Electronic and Electrical Engineering, Brunel University London, London, UB8 3PH, U.K.
4.School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, U.K.

Wang，Han,Jia，Youwei,Lai，Chun Sing,et al. Optimal Virtual Power Plant Operational Regime under Reserve Uncertainty[J]. IEEE Transactions on Smart Grid,2022,13(4):2973-2985.

Wang，Han,Jia，Youwei,Lai，Chun Sing,&Li，Kang.(2022).Optimal Virtual Power Plant Operational Regime under Reserve Uncertainty.IEEE Transactions on Smart Grid,13(4),2973-2985.

Wang，Han,et al."Optimal Virtual Power Plant Operational Regime under Reserve Uncertainty".IEEE Transactions on Smart Grid 13.4(2022):2973-2985.