Impacts of Yield and Seasonal Prices on the Operation of Lancang Cascaded Reservoirs

Mengfei Xie, Suzhen Feng, Jinwen Wang, Maolin Zhang and Cheng Chen
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Mengfei Xie: Kunming Power Exchange Center Co., Ltd., Kunming 650011, China
Suzhen Feng: School of Civil & Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Jinwen Wang: School of Civil & Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Maolin Zhang: Kunming Power Exchange Center Co., Ltd., Kunming 650011, China
Cheng Chen: School of Civil & Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2022, vol. 15, issue 9, 1-11

Abstract: This work formulates a stochastic dynamic programming (SDP) model that incorporates seasonal electricity prices and can handle a constraint on power yield, which is assumed to be satisfied at any time it is possible, thus allowing for an analysis of their impacts on the operational performances of cascaded reservoirs. The model is applied to the Lancang Cascade, specifically its two largest reservoirs, Xiaowan and Nuozhadu. The results show that increasing the power yield of the cascade will reduce energy production unfavorably but will impact water spillage favorably, with a power yield of 2000 MW and with a 91% reliability suggested as being a satisfactory operational target. The case study also suggests that using seasonal electricity prices makes the power generation very unstable during weeks 12–20, which is a period of time that is critical to transferring from dry to flooding seasons.

Keywords: stochastic dynamic programming (SDP); power yield; seasonal price; reliability; cascaded reservoirs (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: 2022
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