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水力发电学报 ›› 2025, Vol. 44 ›› Issue (11): 24-35.doi: 10.11660/slfdxb.20251103

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考虑水电发电耗能成本的多能互补时序生产模拟模型

  

  • 出版日期:2025-11-25 发布日期:2025-11-25

Multi-energy complementary chronological production simulation model considering energy consumption cost of hydropower generation

  • Online:2025-11-25 Published:2025-11-25

摘要: 随着电力系统中风光新能源占比激增,如何通过多能互补协调提升系统调节能力与清洁能源消纳水平成为一个关键的问题。针对水电发电成本在电力系统多能互补时序生产模拟中长期被忽视的问题,本文给出了一种水电站水库发电耗能的“蓄能变化表示法”,并在此基础上建立了以系统总成本最小为目标的考虑水电发电耗能成本的多能互补时序生产模拟模型,提出了多时间尺度的模型求解方法。算例分析结果表明:所提模型能够通过减少37.42%的水电蓄能消耗实现在长时间尺度下提高水电的持续出力保供能力,使失负荷率降低34.31%,火电运行成本降低14.11%,降低了多能互补系统对于火电调节能力的需求,为促进新型电力系统可靠、经济、低碳的协调运行提供了参考。

关键词: 新型电力系统, 水火风光多能互补, 时序生产模拟, 水电耗能成本, 水口水电站水库

Abstract: With a rapid increase in the share of wind and solar renewable energy in a power system, a critical challenge is how to enhance the system’s regulatory flexibility and clean energy accommodation through implementing multi-energy complementarity. This paper presents a storage variation representation method for quantifying the energy consumed by the hydropower station reservoirs, to demonstrate the long-overlooked issue-hydropower generation costs that is significant in long-term time-series production simulations of a multi-energy complementary system. Based on this, we construct a simulation model of time-series production with multi-energy complementarity, aiming to minimize the total system cost while considering hydropower generation-consumed energy, and proposes a multi-timescale method for its solution. Case study demonstrates that our model reduces this type of consumption by 37.42%, enhancing long-term hydropower output sustainability significantly, while lowering the loss of load probability by 34.31% and reducing the thermal power operating cost by 14.11%, thereby reducing the system’s need for thermal power regulation. This study helps ensure a reliable, economical, and low-carbon coordinated operation of new-type power systems.

Key words: new-type power system, hydro-thermal-wind-solar multi-energy complementarity, chronological production simulation, hydropower energy consumption cost, Shuikou hydropower station reservoir

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