首页|An optimal hydropower contract load determination method considering both human and riverine ecosystem needs

An optimal hydropower contract load determination method considering both human and riverine ecosystem needs

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In this research,a new method is developed to determine the optimal contract load for a hydropower reservoir,which is achieved by incorporating environmental flows into the determination process to increase hydropower revenues,while mitigating the negative impacts of hydropower generation on riverine ecosystems.In this method,the degree of natural flow regime alteration is adopted as a constraint of hydropower generation to protect riverine ecosystems,and the maximization of mean annual revenue is set as the optimization objective.The contract load in each month and the associated reservoir operating parameters were simultaneously optimized by a genetic algorithm.The proposed method was applied to China's Wangkuai Reservoir to test its effectiveness.The new method offers two advantages over traditional studies.First,it takes into account both the economic benefits and the ecological needs of riverine systems,rather than only the economic benefits,as in previous methods.Second,although many measures have been established to mitigate the negative ecological impacts of hydropower generation,few have been applied to the hydropower planning stage.Thus,since the contract load is an important planning parameter for hydropower generation,influencing both economic benefits and riverine ecosystem protection,this new method could provide guidelines for the establishment of river protection measures at the hydropower planning stage.

hydropowerelectricity supply loadreservoir operationriver protection

Xin'an YIN、Zhifeng YANG、Cailing LIU、Yanwei ZHAO

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State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China

We thank the International Science & Technology Cooperation Program of ChinaNational Basic Research Program of ChinaHuoyingdong Education FundNational Natural Science Foundation of ChinaFundamental Research Funds for their financial support

2011DFA724202013CB43040214202351309012

2015

10.1007/s11707-014-0470-7

地球科学前沿
高等教育出版社

地球科学前沿

CSCDSCI
影响因子：0.585
ISSN：2095-0195
年,卷(期)：2015.9(3)
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