改进BP网络在水电规划方案优选中的应用  被引量:1

Optimization of Hydropower Planning Scheme Based on the Improved BP

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作  者:李瑶[1] 黄川友[1] 殷彤[1] 朱国宇[1] 魏明东[1] LI Yao HUANG Chuanyou YIN Tong ZHU Guoyu WEI Mingdong(State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China)

机构地区:[1]四川大学水力学与山区河流开发保护国家重点实验室,四川成都610065

出  处:《人民黄河》2016年第6期124-128,共5页Yellow River

摘  要:水电开发易受经济、社会、环境等诸多不确定性因素影响,其规划本质是一类多元非线性决策问题,至今还没有统一的评价模型。采用BP神经网络的改进算法,以MATLAB7.0为平台建立人工神经网络水电规划评价模型。以庆大河水电规划为例,从社会经济效益和生态环境影响等方面综合考虑,构建水电梯级规划方案决策指标体系,运用BP神经网络建立决策模型,量化评估各方案的综合效益,依此决策最优方案。决策结果与工程实际抉择一致,表明BP神经网络用于水电规划方案优选具有实用性。Hydropower development is easy to be affected by many factors such as the economy, the environment and the society. In essence, it belongs to a kind of muhivariate nonlinear decision problem, and so far, there is no unified evaluation model to deal with it. Based on the Matlab7.0 code, this study attempted to use the improved algorithm of back propagation (BP) neural network to build the evaluation model of artificial neural network for hydropower planning. Taking the Qingda River ( located in Ganzi, Sichuan) hydropower planning as an example, an index system of the hydropower cascade planning scheme was built with considering two aspects, namely the socioeconomic benefits and the ecological environment. Subsequently, quantitative evaluation was performed on the comprehensive benefits of the planning schemes by utilizing the proposed model, and thus the most profitable choice was determined. In fact, the actual engineering made the same decision. This verified the practicability of the BP neural network for applying to the optimization of hydropower cascade planning schemes. This decision model is a new method to evaluate the hydropower planning, and it can provide a reference for obtaining the optimal decision of such complex and important engineering just as hydropower cascade planning.

关 键 词:水电梯级规划 最优决策 BP神经网络 指标体系 

分 类 号:TV31[水利工程—水工结构工程]

 

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