Journal Article10.1016/j.advwatres.2022.104253
Improved Progressive Optimality Algorithm and Its Application to Determination of Optimal Release Trajectory of Long-term Power Generation Operation of Cascade Reservoirs
Xin-xin Qi,Gengfeng Qiu,Lei Chen +2 more
7
TL;DR: In this paper , the authors proposed an improved version of the progressive optimality algorithm known as the dipole optimization procedure (DOP) for optimizing cascade reservoir operations, which uses a dynamic variable decoupling strategy to obtain search directions that are more targeted than those of the POA so as to improve the quality of the solutions.
read more
About: This article is published in Advances in Water Resources. The article was published on 01 Jun 2022. The article focuses on the topics: Curse of dimensionality & Cascade.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Optimization of short-term hydropower scheduling with dynamic reservoir capacity based on improved genetic algorithm and parallel computing
Rong-qi Zhang,Shanghong Zhang,Xiaoxiong Wen,Ziqi Yue,Yang Zhou +4 more
TL;DR: An improved genetic algorithm with adaptive and elitist-selection strategies, combined with parallel computing, optimizes short-term hydropower scheduling with dynamic reservoir capacity, achieving 246 times faster computation than enumeration methods and 20 times faster than non-parallel computing.
8
Short-term peak-shaving operation of “N-reservoirs and multicascade” large-scale hydropower systems based on a decomposition-iteration strategy
Hongye Zhao,Shengli Liao,Zhou Fang,Benxi Liu,Xiangyu Ma,Jia Lu +5 more
TL;DR: A decomposition-iteration strategy (DISS) is proposed for short-term peak-shaving operation of large-scale hydropower systems, improving solution efficiency by 55.28-75.51% in dry and wet seasons, respectively, through independent hydropower subsystem modeling and iterative search.
5
Artificial intelligence-based response surface progressive optimality algorithm for operation optimization of multiple hydropower reservoirs
Wen-jing Niu,Tao Luo,Jin-tai Gong,Qing-qing Huang,Hao-yu Gao,Zhong-kai Feng +5 more
TL;DR: Researchers propose RSPOA, an AI-enhanced progressive optimality algorithm, to optimize operation of multiple hydropower reservoirs, improving efficiency by 79.2% compared to standard POA, and effectively addressing dimensionality issues in large-scale multireservoir systems.
3
Optimizing Reservoir Operation With Demand Uncertainty and Internal Climate Variability
Divya Upadhyay,Udit Bhatia +1 more
- 06 Feb 2024
TL;DR: Optimizing reservoir operation with demand uncertainty and internal climate variability (ICV) provides actionable insights into water resource management by incorporating ICV into decision-making processes.
1
Stable Improved Dynamic Programming Method: An Efficient and Accurate Method for Optimization of Reservoir Flood Control Operation
Fuxin Chai,Feng Peng,Hongping Zhang,Wenbin Zang +3 more
References
Evaluation of genetic algorithms for optimal reservoir system operation
Robin Wardlaw,Mohamed Sharif +1 more
TL;DR: The results demonstrate that a genetic algorithm could be satisfactorily used in real time operations with stochastically generated inflows and the known global optimum for the four-reservoir problem can be achieved with real-value coding.
506
Discrete Differential Dynamic Programing Approach to Water Resources Systems Optimization
TL;DR: An iterative method that can ease the above difficulties considerably in the optimization of operating policies of multiple unit and multiple purpose water resources systems by traditional dynamic programing with the use of high speed digital computers is presented.
298
Constrained Differential Dynamic Programming and Its Application to Multireservoir Control
Daniel M. Murray,Sidney Yakowitz +1 more
TL;DR: This paper describes a modification of differential dynamic programming which makes that technique applicable to certain constrained sequential decision problems such as multireservoir control problems discussed in the hydrology literature.
276
A new algorithm for the solution of multi-state dynamic programming problems
H. R. Howson,N. G. F. Sancho +1 more
TL;DR: This paper presents a new algorithm for the solution of multi-state dynamic programming problems, referred to as the Progressive Optimality Algorithm, a method of successive approximation using a general two-stage solution that is computationally efficient and has minimal storage requirements.
145