考虑随机来水的水电站中长期发电调度多重风险分析

doi:10.11988/ckyyb.201908194

院报 ›› 2020, Vol. 37 ›› Issue (10): 37-44.DOI: 10.11988/ckyyb.201908194

考虑随机来水的水电站中长期发电调度多重风险分析

钟文杰^1,2, 陈璐^1,2, 周建中^1,2, 仇红亚^1,2, 黄康迪^1,2

1.华中科技大学水电与数字化工程学院,武汉 430074;
2.华中科技大学数字流域科学与技术湖北省重点实验室,武汉 430074

收稿日期:2019-07-15 修回日期:2019-09-17 出版日期:2020-10-01 发布日期:2020-10-29
通讯作者: 陈璐(1985-),女,山东济南人,教授,博士,博士生导师,主要从事水库调度、水文分析与计算方面的研究。E-mail:chen_lu@hust.edu.cn
作者简介:钟文杰(1996-),男,浙江丽水人,硕士研究生,研究方向为水库调度和水文预报。E-mail:M201873801@hust.edu.cn
基金资助:
国家自然科学基金重点项目(91547208);国家优秀青年科学基金项目(51922047);国家自然科学基金面上项目(51879109,51679094)

Multiple Risk Analysis of Medium- and Long-term Hydropower Reservoir Operation in Consideration of Stochastic Inflow

ZHONG Wen-jie^1,2, CHEN Lu^1,2, ZHOU Jian-zhong^1,2, QIU Hong-ya^1,2, HUANG Kang-di^1,2

1. College of Hydropower & Information Engineering, Huazhong University of Science & Technology, Wuhan 430074, China;
2. Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science & Technology, Wuhan 430074, China

Received:2019-07-15 Revised:2019-09-17 Online:2020-10-01 Published:2020-10-29

摘要/Abstract

摘要： 为了分析来水不确定性导致的水电站发电风险,构建了日径流随机模拟模型,模拟生成了长系列径流序列,建立常规调度和优化调度模型,并将模拟径流序列作为输入驱动调度模型。以年均发电量、发电稳定性、弃水量、发电保证率、蓄满率为主要风险指标,建立了发电风险分析的指标体系。在此基础上,以三峡水库作为调度模型的研究实例,比较了常规调度和优化调度的风险水平。结果表明:优化调度较常规调度年发电量增加约5%;信息熵结果显示优化调度模型不确定性较小,更加稳定;优化调度弃水量约为常规调度的50%,且优化调度降低了出力破坏风险。文中给出的优化调度模型所得调度过程在经济效益及风险控制方面都有较优的表现。

关键词: 径流随机模拟, 常规调度, 优化调度, 发电风险, 三峡水库

Abstract: Stochastic modeling of daily runoff is constructed to analyze the power generation risks of hydropower stations caused by the uncertainty of inflow. Simulated long-term runoff series are used as input data of the model to compare regular scheduling and optimized scheduling. A risk analysis system consisting annual average power generation, power generation stability, water abandonment, power generation guarantee rate, and full storage rate as major risk indexes is established. The Three Gorges Reservoir is taken as an example to compare the risk level of power generation between regular scheduling and optimized scheduling. Results show that the annual mean power generation in optimized scheduling increases by about 5% compared with that of regular scheduling. The calculated entropy values imply that the uncertainty of optimized scheduling model is much smaller and more stable. The abandoned water amount in optimized scheduling is about 50% of that in regular scheduling. In addition, the risk is reduced in optimized scheduling model. The scheduling process derived from the optimized scheduling model in this paper has better performance in economic benefits and risk control.

Key words: runoff stochastic simulation, regular scheduling, optimization scheduling, hydropower generation risk, Three Gorges Reservoir

中图分类号:

TV697.1

钟文杰, 陈璐, 周建中, 仇红亚, 黄康迪. 考虑随机来水的水电站中长期发电调度多重风险分析[J]. 院报, 2020, 37(10): 37-44.

ZHONG Wen-jie, CHEN Lu, ZHOU Jian-zhong, QIU Hong-ya, HUANG Kang-di. Multiple Risk Analysis of Medium- and Long-term Hydropower Reservoir Operation in Consideration of Stochastic Inflow[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2020, 37(10): 37-44.

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考虑随机来水的水电站中长期发电调度多重风险分析

Multiple Risk Analysis of Medium- and Long-term Hydropower Reservoir Operation in Consideration of Stochastic Inflow

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