scholarly journals Multiple Strategies Based Salp Swarm Algorithm for Optimal Operation of Multiple Hydropower Reservoirs

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2753
Author(s):  
Hongya Qiu ◽  
Jianzhong Zhou ◽  
Lu Chen ◽  
Yuxin Zhu

Reasonable optimal operation policy for complex multiple reservoir systems is very important for the safe and efficient utilization of water resources. The operation policy of multiple hydropower reservoirs should be optimized to maximize total hydropower generation, while ensuring flood control safety by effective and efficient storage and release policy of multiple reservoirs. To achieve this goal, a new meta-heuristic algorithm, salp swarm algorithm (SSA), is used to optimize the joint operation of multiple hydropower reservoirs for the first time. SSA is a competitive bio-inspired optimizer, which has received substantial attention from researchers in a wide variety of applications in finance, engineering, and science because of its little controlling parameters and adaptive exploratory behavior. However, it still faces few drawbacks such as lack of exploitation and local optima stagnation, leading to a slow convergence rate. In order to tackle these problems, multiple strategies combining sine cosine operator, opposition-based learning mechanism, and elitism strategy are applied to the original SSA. The sine cosine operator is applied to balance the exploration and exploitation over the course of iteration; the opposition-based learning mechanism is used to enhance the diversity of the swarm; and the elitism strategy is adopted to find global optima. Then, the improved SSA (ISSA) is compared with six well-known meta-heuristic algorithms on 23 classical benchmark functions. The results obtained demonstrate that ISSA outperforms most of the well-known algorithms. Then, ISSA is applied to optimal operation of multiple hydropower reservoirs in the real world. A multiple reservoir system, namely Xiluodu Reservoir and Xiangjiaba Rservoir, in the upper Yangtze River of China are selected as a case study. The results obtained show that the ISSA is able to solve a real-world optimization problem with complex constraints. In addition, for the typical flood with a 100 return period in 1954, the maximum hydropower generation of multiple hydropower reservoirs is about 6671 GWh in the case of completing the flood control task, increasing by 1.18% and 1.77% than SSA and Particle Swarm Optimization (PSO), respectively. Thus, ISSA can be used as an alternative effective and efficient tool for the complex optimization of multiple hydropower reservoirs. The water resources in the river basin can be further utilized by the proposed method to cope with the increasingly serious climate change.

2018 ◽  
Vol 66 (3) ◽  
pp. 323-329 ◽  
Author(s):  
Ali Hojjati ◽  
Mohsen Monadi ◽  
Alireza Faridhosseini ◽  
Mirali Mohammadi

Abstract Optimal operation of reservoir systems is the most important issue in water resources management. It presents a large variety of multi-objective problems that require powerful optimization tools in order to fully characterize the existing trade-offs. Many optimization methods have been applied based on mathematical programming and evolutionary computation (especially heuristic methods) with various degrees of success more recently. This paper presents an implementation and comparison of multi-objective particle swarm optimization (MOPSO) and non-dominated sorting genetic algorithm II (NSGA-II) for the optimal operation of two reservoirs constructed on Ozan River catchment in order to maximize income from power generation and flood control capacity using MATLAB software. The alternative solutions were based on Pareto dominance. The results demonstrated superior capacity of the NSGA-II to optimize the operation of the reservoir system, and it provides better coverage of the true Pareto front than MOPSO.


2021 ◽  
Vol 13 (9) ◽  
pp. 4857
Author(s):  
Zitong Yang ◽  
Xianfeng Huang ◽  
Jiao Liu ◽  
Guohua Fang

In order to meet the demand of emergency water supply in the northern region without affecting normal water transfer, considering the use of the existing South-to-North Water Transfer eastern route project to explore the potential of floodwater resource utilization in the flood season of Hongze Lake and Luoma Lake in Jiangsu Province, this paper carried out relevant optimal operating research. First, the hydraulic linkages between the lakes were generalized, then the water resources allocation mode and the scale of existing projects were clarified. After that, the actual available amount of flood resources in the lakes was evaluated. The average annual available floodwater resources in 2003–2017 was 1.49 billion m3, and the maximum available capacity was 30.84 billion m3. Then, using the floodwater resource utilization method of multi period flood limited water levels, the research period was divided into the main flood season (15 July to 15 August) and the later flood season (16 August to 10 September, 11 September to 30 September) by the Systematic Clustering Analysis method. After the flood control calculation, the limited water level of Hongze Lake in the later flood season can be raised from 12.5 m to 13.0 m, and the capacity of reservoir storage can increase to 696 million m3. The limited water level of Luoma Lake can be raised from 22.5 m to 23.0 m (16 August to 10 September), 23.5 m (11 September to 30 September), and the capacity of reservoir storage can increase from 150 to 300 million m3. Finally, establishing the floodwater resource optimization model of the lake group with the goals of maximizing the floodwater transfer amount and minimizing the flood control risk rate, the optimal water allocation scheme is obtained through the optimization algorithm.


2021 ◽  
Author(s):  
Mohammad Shehab ◽  
Laith Abualigah

Abstract Multi-Verse Optimizer (MVO) algorithm is one of the recent metaheuristic algorithms used to solve various problems in different fields. However, MVO suffers from a lack of diversity which may trapping of local minima, and premature convergence. This paper introduces two steps of improving the basic MVO algorithm. The first step using Opposition-based learning (OBL) in MVO, called OMVO. The OBL aids to speed up the searching and improving the learning technique for selecting a better generation of candidate solutions of basic MVO. The second stage, called OMVOD, combines the disturbance operator (DO) and OMVO to improve the consistency of the chosen solution by providing a chance to solve the given problem with a high fitness value and increase diversity. To test the performance of the proposed models, fifteen CEC 2015 benchmark functions problems, thirty CEC 2017 benchmark functions problems, and seven CEC 2011 real-world problems were used in both phases of the enhancement. The second step, known as OMVOD, incorporates the disruption operator (DO) and OMVO to improve the accuracy of the chosen solution by giving a chance to solve the given problem with a high fitness value while also increasing variety. Fifteen CEC 2015 benchmark functions problems, thirty CEC 2017 benchmark functions problems and seven CEC 2011 real-world problems were used in both phases of the upgrade to assess the accuracy of the proposed models.


Author(s):  
Chen Wu ◽  
Yibo Wang ◽  
Jing Ji ◽  
Pan Liu ◽  
Liping Li ◽  
...  

Reservoirs play important roles in hydropower generation, flood control, water supply, and navigation. However, the regulation of reservoirs is challenged due to their adverse influences on river ecosystems. This study uses ecoflow as an ecological indicator for reservoir operation to indicate the extent of natural flow alteration. Three reservoir optimization models are established to derive ecological operating rule curves. Model 1 only considers the maximization of average annual hydropower generation and the assurance rate of hydropower generation. Model 2 incorporates ecological objectives and constraints. Model 3 not only considers the hydropower objectives but also simulates the runoff and calculates the ecological indicator values of multiple downstream stations. The three models are optimized by a simulation-optimization framework. The reservoir ecological operating rule curves are derived for the case study of China's Three Gorges Reservoir. The results represent feasible schemes for reservoir operation by considering both hydropower and ecological demands. The average annual power generation and assurance rate of a preferred optimized scheme for Model 3 are increased by 1.06% and 2.50%, respectively. Furthermore, ecological benefits of the three hydrologic stations are also improved. In summary, the ecological indicator ecoflow and optimization models could be helpful for reservoir ecological operations.


2014 ◽  
Vol 9 (4) ◽  
pp. 509-518
Author(s):  
R. Shahsavan ◽  
M. Shourian

Water storage using dams is a perfect solution for agricultural, industrial, drinking water supply, flood control, hydroelectric power generation, and other purposes. Integrated management of water resources involves the development, management, protection, regulation and beneficial use of surface- and ground- water resources. The reliability of water supply reservoirs depends on several factors, e.g. the physical characteristics of the reservoir, the time series of river discharge, climatic conditions, the amount of demand, and the method of operation. If a portion of a dam's volume is kept empty for flood control, the confidence values of taking the bottom water demand will be reduced. In this paper, a yield-storage model developed in a MATLAB software environment is used to determine the optimal capacity of Darband dam in northeast Iran (the study phase). The reservoir's performance with respect to demand downstream, e.g. from industry and agriculture, and for potable use, was studied, and the results compared for scenarios in flood control volume change conditions. The results show that, for a capacity of 80 Mm3, the reliability values for meeting agricultural, environmental, and potable water demand are estimated at 0.922, 0.927, and 0.942, respectively. If the reservoir's capacity is changed from 80 to 350 Mm3, the reliability values increase by only about 7%.


2013 ◽  
Vol 17 (9) ◽  
pp. 3605-3622 ◽  
Author(s):  
N. Voisin ◽  
H. Li ◽  
D. Ward ◽  
M. Huang ◽  
M. Wigmosta ◽  
...  

Abstract. Human influence on the hydrologic cycle includes regulation and storage, consumptive use and overall redistribution of water resources in space and time. Representing these processes is essential for applications of earth system models in hydrologic and climate predictions, as well as impact studies at regional to global scales. Emerging large-scale research reservoir models use generic operating rules that are flexible for coupling with earth system models. Those generic operating rules have been successful in reproducing the overall regulated flow at large basin scales. This study investigates the uncertainties of the reservoir models from different implementations of the generic operating rules using the complex multi-objective Columbia River Regulation System in northwestern United States as an example to understand their effects on not only regulated flow but also reservoir storage and fraction of the demand that is met. Numerical experiments are designed to test new generic operating rules that combine storage and releases targets for multi-purpose reservoirs and to compare the use of reservoir usage priorities and predictors (withdrawals vs. consumptive demands, as well as natural vs. regulated mean flow) for configuring operating rules. Overall the best performing implementation is with combined priorities rules (flood control storage targets and irrigation release targets) set up with mean annual natural flow and mean monthly withdrawals. The options of not accounting for groundwater withdrawals, or on the contrary, of assuming that all remaining demand is met through groundwater extractions, are discussed.


2015 ◽  
Vol 76 (1) ◽  
Author(s):  
Dato’ Ir. Syed Muhammad Shahabudin

It is said tluit civilization began and prospered when humans could control water; and that same civilization declined and vanished when that control is lost. Dams and other river flow barriers were built to harness and control water in the early days of civilisation in order to secure the benefits for human basic needs and comfort. Centuries later, more dams were built to cater for increasing population, especially in arid and semi-arid areas. But it is really in the past two centuries that many large-sized dams have been built to satisfy a wider range of development demands — hydropower, treated water supply, irrigation, flood control and environmental needs.Towards the second half of the last century, society came to realise that dams can cause significant negative social and environmental impacts that could outweigh the original economic benefits. Opponents of dams protest vehemently world-wide against the development of more dams whilst proponents are convinced tluit the y are a necessary feature to support growth and prosperity. It is these contradicting beliefs in mind tluit the public must be engaged to facilitate a better understanding of the views of both the proponents and the opponents of dam development before deciding on a long-term strateg y. In the meantime, more effort may have to be made for water and energ y conservation strategies and to realize the potential applications of low impact and non-structural solutions that complement existing dams and defer new dam development to as far into the future as possible.This paper aims to provoke a critical debate amongst engineers and the public to look at the longer term future ofdams in water resources development that could possibl y reduce the fundamental demand for services that dam provides. In other words, to try and answer the question “Why should a country rich in water, as Malaysia is, need to construct dams and even plan for more?”


The water resources management affords many solutions to manage water more holistically and optimally. In essence, they are a call to stop fragmentary approaches to water management and high-handed development decisions made for the benefit of a single user group of action.The Integrated Water Basin Management and its components are used to find a suitable flood mititgation measure. The study area is Orathur of Kancheepuram district. The data that are used in this work is been taken for the consecutive 20 years and it has been analysed. With the overall data the GIS mapping is done using ArcGIS software to locate the area precisely. Its tributaries and origin from Manimangalam tributary is located clearly to estimate the inflow and outflow of the water and the demand for water at the particular region is found and then analysed for the planning of water management and flood control..


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