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Energies 2015, 8(7), 6962-6976; doi:10.3390/en8076962

Multi-Objective Reservoir Optimization Balancing Energy Generation and Firm Power

1,* and 2,*
College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China
Institute for Aero-Engine, School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
Authors to whom correspondence should be addressed.
Academic Editor: Enrico Sciubba
Received: 14 April 2015 / Revised: 12 June 2015 / Accepted: 23 June 2015 / Published: 10 July 2015
View Full-Text   |   Download PDF [968 KB, uploaded 10 July 2015]   |  


To maximize annual power generation and to improve firm power are important but competing goals for hydropower stations. The firm power output is decisive for the installed capacity in design, and represents the reliability of the power generation when the power plant is put into operation. To improve the firm power, the whole generation process needs to be as stable as possible, while the maximization of power generation requires a rapid rise of the water level at the beginning of the storage period. Taking the minimal power output as the firm power, both the total amount and the reliability of the hydropower generation are considered simultaneously in this study. A multi-objective model to improve the comprehensive benefits of hydropower stations are established, which is optimized by Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The Three Gorges Cascade Hydropower System (TGCHS) is taken as the study case, and the Pareto Fronts in different search spaces are obtained. The results not only prove the effectiveness of the proposed method, but also provide operational references for the TGCHS, indicating that there is room of improvement for both the annual power generation and the firm power. View Full-Text
Keywords: firm power; hydropower; reliability; multi-objective optimization; NSGA-II; Three Gorges project firm power; hydropower; reliability; multi-objective optimization; NSGA-II; Three Gorges project

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, F.-F.; Qiu, J. Multi-Objective Reservoir Optimization Balancing Energy Generation and Firm Power. Energies 2015, 8, 6962-6976.

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