Estimating Maximal Annual Energy Given Heterogeneous Hydropower Generating Units with Application to the Three Gorges System

Li, Fang‐Fang; Shoemaker, Christine A.; Wei, Jiahua; Fu, Xudong

doi:10.1061/(asce)wr.1943-5452.0000250

Cited by 35 publications

(11 citation statements)

References 27 publications

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“…Linear optimization techniques are efficient for large-scale systems with high-dimensional variables, but require all relations among variables in constraints and objectives to be linear [34][35][36]. Though, it is not applicable for system analysis with inclusion of hydropower generation, without linearization and/or simplifications.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of the Eastern Nile System Using Genetic Algorithm, and Benefits Distribution of Water Resources Development

Digna

Castro-Gama

Zaag

et al. 2018

Water

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Section: Introductionmentioning

confidence: 99%

Optimal Operation of the Eastern Nile System Using Genetic Algorithm, and Benefits Distribution of Water Resources Development

Digna

Castro-Gama

Zaag

et al. 2018

Water

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“…Li et al (2013) has proven such linearization method has high accuracy to represent the power output of the TGP-GZB cascade system. In their research, the optimization is for long-term with higher variable dimensions, so the bivariate Taylor series expansion was applied to obtain a linear relationship between Q and H for the TGP to save computational cost.…”

Section: Inner Loopmentioning

confidence: 99%

Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the Three Gorges system

Shoemaker

Qiu

et al. 2015

Environmental Modelling & Software

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a b s t r a c tHigh dimensionality in real-world multi-reservoir systems greatly hinders the application and popularity of evolutionary algorithms, especially for systems with heterogeneous units. An efficient hierarchical optimization framework is presented for search space reduction, determining the best water distributions, not only between cascade reservoirs, but also among different types of hydropower units. The framework is applied to the Three Gorges Project (TGP) system and the results demonstrate that the difficulties of multi-reservoir optimization caused by high dimensionality can be effectively solved by the proposed hierarchical method. For the day studied, power output could be increased by 6.79 GWh using an optimal decision with the same amount of water actually used; while the same amount of power could be generated with 2.59 Â 10 7 m 3 less water compared to the historical policy. The methodology proposed is general in that it can be used for other reservoir systems and other types of heterogeneous unit generators.

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“…The two objectives we considered in the OTC complex are based on the functionalities and the purposes of the reservoirs in the complex. In other literature, there are significant ways to include hydropower generation in reservoir operation, such as considering short-term hydro scheduling, annual production, and trade-offs with agricultural water uses (Cheng et al, 2014;Hassanzadeh et al, 2014;Li et al, 2013;Gil et al, 2003) In these ways, hydropower generation is either considered as a single objective in complex reservoir systems or measured by economic value to other water uses. However, we set the objectives based on the realistic functionalities of the regional reservoir system.…”

Section: Water and Hydropower's Sustainability In Otcmentioning

confidence: 99%

“…Moreover, with regard to the optimal reservoir watersupply objective, the operation on a daily scale is a relatively good tuning scale for mid-range optimal water-supply planning. Therefore, we use daily as the time step and follow the similar manner that used by Li et al (2013) to estimate hydropower generation and pumping in cascade reservoir system for long term operation.…”

Section: Mathematical Formulationmentioning

confidence: 99%

Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville–Thermalito complex

Yang

Gao

Sellars

et al. 2015

Environmental Modelling & Software

104

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This study demonstrates the application of an improved Evolutionary optimization Algorithm (EA), titled Multi-Objective Complex Evolution Global Optimization Method with Principal Component Analysis and Crowding Distance Operator (MOSPD), for the hydropower reservoir operation of the OrovilleeThermalito Complex (OTC) e a crucial head-water resource for the California State Water Project (SWP). In the OTC's water-hydropower joint management study, the nonlinearity of hydropower generation and the reservoir's water elevationestorage relationship are explicitly formulated by polynomial function in order to closely match realistic situations and reduce linearization approximation errors. Comparison among different curve-fitting methods is conducted to understand the impact of the simplification of reservoir topography. In the optimization algorithm development, techniques of crowding distance and principal component analysis are implemented to improve the diversity and convergence of the optimal solutions towards and along the Pareto optimal set in the objective space. A comparative evaluation among the new algorithm MOSPD, the original Multi-Objective Complex Evolution Global Optimization Method (MOCOM), the Multi-Objective Differential Evolution method (MODE), the Multi-Objective Genetic Algorithm (MOGA), the Multi-Objective Simulated Annealing approach (MOSA), and the Multi-Objective Particle Swarm Optimization scheme (MOPSO) is conducted using the benchmark functions. The results show that best the MOSPD algorithm demonstrated the best and most consistent performance when compared with other algorithms on the test problems. The newly developed algorithm (MOSPD) is further applied to the OTC reservoir releasing problem during the snow melting season in 1998 (wet year), 2000 (normal year) and 2001 (dry year), in which the more spreading and converged non-dominated solutions of MOSPD provide decision makers with better operational alternatives for effectively and efficiently managing the OTC reservoirs in response to the different climates, especially drought, which has become more and more severe and frequent in California.

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Estimating Maximal Annual Energy Given Heterogeneous Hydropower Generating Units with Application to the Three Gorges System

Cited by 35 publications

References 27 publications

Optimal Operation of the Eastern Nile System Using Genetic Algorithm, and Benefits Distribution of Water Resources Development

Optimal Operation of the Eastern Nile System Using Genetic Algorithm, and Benefits Distribution of Water Resources Development

Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the Three Gorges system

Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville–Thermalito complex

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