多主体梯级电站补偿效益分摊的改进Raiffa法
Improved Raiffa Method for Compensation Benefit Allocation of Multi-Agent Cascade Power Stations
DOI: 10.12677/jwrr.2025.145056, PDF,   
作者: 秦 朗, 任 黎*:河海大学水文与水资源学院,江苏 南京;蒋谋智, 杜兴强:长江水利委员会水文局荆江水文水资源勘测局,湖北 荆州
关键词: 效益分摊多业主梯级水电站联合调度改进Raiffa法Benefit Distribution Multi-Owner Cascade Hydropower Station Joint Operation Improve Raiffa Method
摘要: 针对传统效益分摊方法在多主体梯级水电站联合调度效益分摊时的局限性,提出改进Raiffa法效益分摊方法,对乌江流域六座梯级水库联合优化调度的补偿效益分摊问题进行求解,并与单指标法、信息熵法、熵权法等分配方法进行对比,最后采用分配策略倾向分析对分摊结果进行评定。乌江梯级实例结果表明,改进Raiffa法计算效率高、分摊结果好,梯级多业主情形下可以得到公平、合理且稳定的效益分配结果。该方法能够为解决多主体梯级水电站联合调度效益分配问题提供新的思路和方法,调动梯级电站联合运行的积极性,提高水资源利用率。
Abstract: Addressing the limitations of traditional benefit allocation methods in distributing the joint operation benefits among multiple stakeholders in cascade hydropower stations, this study proposes an improved Raiffa method for benefit allocation. The method is applied to solve the compensation benefit allocation problem arising from the joint optimal operation of six cascade reservoirs in the Wujiang River basin. The allocation results are compared with those obtained using single-indicator methods, the information entropy method, and the entropy weight method. Finally, an allocation strategy tendency analysis is employed to evaluate the allocation outcomes. The case study of the Wujiang cascade demonstrates that the improved Raiffa method offers high computational efficiency and produces superior allocation results. Under multi-owner cascade scenarios, it yields fair, appropriate, and stable benefit distribution outcomes. This method provides a new approach for solving the benefit allocation problem in the joint operation of multi-stakeholder cascade hydropower stations. It can mobilize the enthusiasm for cascade joint operation and improve water resource utilization efficiency.
文章引用:秦朗, 任黎, 蒋谋智, 杜兴强. 多主体梯级电站补偿效益分摊的改进Raiffa法[J]. 水资源研究, 2025, 14(5): 515-523. https://doi.org/10.12677/jwrr.2025.145056

参考文献

[1] 杨忠伟, 牟时宇, 陈在妮, 等. 大渡河流域梯级水电站智慧调度建设实践[J]. 水利水电快报, 2025, 46(3): 90-95+115.
[2] 张睿, 刘备, 李纪辉. 梯级水库群洪水资源利用及汛期运行水位控制技术[J]. 水利水电快报, 2024, 45(7): 6-7.
[3] 李英海, 汪利, 李清清, 等. 梯级水电站补偿效益分摊方式研究综述[J]. 人民珠江, 2020, 41(8): 7-14.
[4] 杨春花, 杜康华. 基于Shapley-Value的梯级水库联合调度效益分配方法探讨[J]. 长江科学院院报, 2011, 28(12): 53-57.
[5] AMIT, R. K., SASIDHARAN, S. Measuring affordability of access to clean water: A coping cost approach. Resources, Conservation and Recycling, 2019, 141: 410-417.[CrossRef
[6] LEHTORANTA, V., SEPPALA, E. and KOSENIUS, A. K. Willingness to pay for water level regulation in Lake Pielinen Finland. Journal of Environmental Economics and Policy, 2013, 2(2): 148-163. [Google Scholar] [CrossRef
[7] 颜山凯, 黄显峰, 方国华, 等. 基于熵权TOPSIS法的梯级水电站补偿效益分摊模型研究[J]. 水电能源科学, 2021, 39(9): 76-80+28.
[8] LIU, L., SUN, L. X. Benefit compensation of construction diversion in upstream flood discharge control based on improved shapley method. In 2013 IEEE International Conference on Systems, Man, and Cybernetics. New York: Institute of Electrical and Electronics Engineers, 2013: 2202-2206.[CrossRef
[9] LI, W., YINGHAI, L. and YONGQIANG, W. Compensation benefits allocation and stability evaluation of cascade hydropower stations based on variation coefficient-shapley value method. Journal of Hydrology, 2021, 599: 126277.
[10] 张剑亭, 郭生练, 陈柯兵, 等. 基于信息熵的梯级水库联合优化调度增益分配法[J]. 水力发电学报, 2020, 39(2): 94-102.
[11] 阮平南, 史文雷, 魏云凤. 基于修正Raiffa值的三阶段网络租金分配方法[J]. 软科学, 2019, 33(3): 111-114.
[12] 魏子茹, 卢延辉, 王鹏宇, 等. 基于CRITIC法的灰色关联理论在无人驾驶车辆测试评价中的应用[J]. 机械工程学报, 2021, 57(12): 99-108.
[13] 潘旭, 王金丽, 赵晓龙, 等. 智能配电网多维数据质量评价方法[J]. 中国电机工程学报, 2018, 38(5): 1375-1384.
[14] 王莹莹, 梅生伟, 刘锋. 混合电力系统合作博弈规划的分配策略研究[J]. 系统科学与数学, 2012, 32(4): 418-428.
[15] 武新宇, 宋宇航, 曾博宇, 等. 水风光资源互补与调度互补评价方法研究[J]. 人民珠江, 2025, 46(10): 45-53.