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A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems

Ali Thaeer Hammid, Omar I. Awad, Mohd Herwan Sulaiman, Saraswathy Shamini Gunasekaran, Salama A. Mostafa, Nallapaneni Manoj Kumar, Bashar Ahmad Khalaf, Yasir Amer Al-Jawhar, Raed Abdulkareem Abdulhasan
2020 Energies  
The target of long-, mid-, and short-term hydro scheduling (LMSTHS) problems is to optimize the power generation schedule of the accessible hydropower units, which generate maximum energy by utilizing  ...  Numerous traditional optimization procedures are first presented for making a solution to the LMSTHS problem.  ...  Hussein Onn Malaysia (UTHM), Batu Pahat, Johor, Malaysia for providing technical inputs.  ... 
doi:10.3390/en13112787 fatcat:oasjlaqbjrhj5pxfxcwpwqdg4e

Modeling and Solution Techniques Used for Hydro Generation Scheduling

Iram Parvez, JianJian Shen, Mehran Khan, Chuntian Cheng
2019 Water  
The hydro generation scheduling problem has a unit commitment sub-problem which deals with start-up/shut-down costs related hydropower units.  ...  Hydro power is the only renewable energy source for many countries, so there is a need to find better methods which give optimal hydro scheduling.  ...  Acknowledgments: The authors would like to acknowledge the financial support from China scholarship council (CSC) for higher studies of Iram Parvez and Engr.  ... 
doi:10.3390/w11071392 fatcat:xpcleotz7zezxirdrkcaeccumm

Optimization methods applied to renewable and sustainable energy: A review

R. Baños, F. Manzano-Agugliaro, F.G. Montoya, C. Gil, A. Alcayde, J. Gómez
2011 Renewable & Sustainable Energy Reviews  
Energy is a vital input for social and economic development.  ...  As a result of the generalization of agricultural, industrial and domestic activities the demand for energy has increased remarkably, especially in emergent countries.  ...  (hourly power output) for short-term operation scheduling of a hydropower plant.  ... 
doi:10.1016/j.rser.2010.12.008 fatcat:itg2ykeigffx5jl55hn5buqdvu

Improved Memetic Algorithm for Economic Load Dispatch in a Large Hydropower Plant [chapter]

Ling Shang, Xiaofei Li, Haifeng Shi, Feng Kong, Ying Wang
2022 Technological Innovations and Advances in Hydropower Engineering  
in solving large-scale, complex, highly-dimensional and dynamic problems.  ...  Since "curse of dimensionality" may occur frequently while using DP algorithm to solve the ELDP problem of large hydropower plants, as a new heuristic algorithm, memetic algorithm has obvious advantages  ...  Acknowledgements This work was supported by the natural science foundation of Nanjing vocational college of information technology under grant No.YK20190401; High level introduction of talent research  ... 
doi:10.5772/intechopen.100309 fatcat:krh2et3ijfhm7izwmswusmxjjq

Scheduling by NSGA-II: Review and Bibliometric Analysis

Iman Rahimi, Amir H. Gandomi, Kalyanmoy Deb, Fang Chen, Mohammad Reza Nikoo
2022 Processes  
The first part discusses the main ideas of scheduling and different evolutionary computation methods for scheduling and provides a review of different scheduling problems, such as production and personnel  ...  NSGA-II is an evolutionary multi-objective optimization algorithm that has been applied to a wide variety of search and optimization problems since its publication in 2000.  ...  A Tabu search approach for flexible job-shop scheduling by minimizing Cmax was proposed in [122].  ... 
doi:10.3390/pr10010098 fatcat:p37agkf6pzegbmwategpmobtfq

Bio-Inspired Optimization of Sustainable Energy Systems: A Review

Yu-Jun Zheng, Sheng-Yong Chen, Yao Lin, Wan-Liang Wang
2013 Mathematical Problems in Engineering  
Fortunately, the continuous advances in artificial intelligence have resulted in an increasing number of heuristic optimization methods for effectively handling those complicated problems.  ...  Sustainable energy development always involves complex optimization problems of design, planning, and control, which are often computationally difficult for conventional optimization methods.  ...  ] [15] [16] , dynamic programming (DP) [17] [18] [19] [20] , constrained programming [21, 22] , and so forth, have been applied for solving these problems.  ... 
doi:10.1155/2013/354523 fatcat:zaqxfr2vljdwhltcqkvbbtqrfu

An enhanced differential evolution algorithm for daily optimal hydro generation scheduling

Xiaohui Yuan, Yongchuan Zhang, Liang Wang, Yanbin Yuan
2008 Computers and Mathematics with Applications  
The daily optimal hydro generation scheduling problem (DOHGSB) is a complicated nonlinear dynamic constrained optimization problem, which plays an important role in the economic operation of electric power  ...  The feasibility of the proposed method is demonstrated for the daily generation scheduling of a hydro system with four interconnected cascade hydro plants, and the test results are compared with those  ...  Acknowledgement The authors gratefully acknowledge the financial supports from National Natural Science Foundation of China under Grant No. 50779020 and No. 40572166 and No. 50539140.  ... 
doi:10.1016/j.camwa.2007.08.040 fatcat:i2qihzmr7fej7fuk5d5hzb3xsu

Simulation and Regulation of Market Operation in Hydro-Dominated Environment: The Yunnan Case

Fu Chen, Benxi Liu, Chuntian Cheng, Ali Mirchi
2017 Water  
Furthermore, an integrated solution methodology based on a multi-core parallel tabu genetic algorithm (MPTGA) is proposed to provide the optimal assignment of bilateral contracts, considering the market  ...  electricity markets, in which giant cascaded hydropower facilities along different rivers are main power suppliers.  ...  A hybrid search algorithm consisting of a heuristics search, a progressive optimality algorithm, and a local optimum avoiding strategy is used to solve the optimal problem faced by thermal power stations  ... 
doi:10.3390/w9080623 fatcat:mpqjvb7hlzhjrmor6l7gx5rdqi

Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review

Muhammad Salman Fakhar, Sheroze Liaquat, Syed Abdul Rahman Kashif, Akhtar Rasool, Muhammad Khizer, Muhammad Ahmad Iqbal, Muhammad Anas Baig, Sanjeevikumar Padmanaban
2021 IEEE Access  
This article presents a comprehensive review of research published for solving the STHTS problem in the last four decades.  ...  Short term hydrothermal scheduling (STHTS) is a non-linear, multi-modal and very complex constrained optimization problem which has been solved using several conventional and modern metaheuristic optimization  ...  Ltd. and Shark Innovation Labs for sponsoring in establishing the Power Systems Simulation Research Lab at University of Engineering and Technology, Lahore. This research was conducted in this lab.  ... 
doi:10.1109/access.2021.3055292 fatcat:xnb7xfhvgbht3diqqnht633b6u

An Improved Slime Mold Algorithm and Its Application for Optimal Operation of Cascade Hydropower Stations

Trong-The Nguyen, Hong-Jiang Wang, Thi-Kien Dao, Jeng-Shyang Pan, Jian-Hua Liu, Shao-Wei Weng
2020 IEEE Access  
, which requires optimized output for the short, medium, and long term [41] .  ...  The medium and long-term process of the reservoir group refers to the reservoir's long-term optimization rules to ensure the power system requirements and ensure the pool's safety under the premise of  ... 
doi:10.1109/access.2020.3045975 fatcat:gvuqyo4po5hxjpqtk4lrebkl4m

Review of soft computing models in design and control of rotating electrical machines

Adrienn Dineva, Amir Mosavi, Sina Faizollahzadeh Ardabili, Istvan Vajda, Shahab Shamshirband, Timon Rabczuk, Kwok-Wing Chau
2020 Zenodo  
Through a novel taxonomy of techniques and applications the most important advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines  ...  From this perspective, a wide range of energy management systems are highly relying on the advancement of soft computing techniques used for rotating electrical machines.  ...  Usually, it would take a lot of parameters to describe a real system, or it would take too long time to solve the problem.  ... 
doi:10.5281/zenodo.4056793 fatcat:44twbmjbdjdilfe3quknwql6pi

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Adrienn Dineva, Amir Mosavi, Sina Faizollahzadeh Ardabili, Istvan Vajda, Shahaboddin Shamshirband, Timon Rabczuk, Kwok–Wing Chau
2019 Energies  
Through a novel taxonomy of systems and applications, the most critical advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines  ...  Rotating electrical machines are electromechanical energy converters with a fundamental impact on the production and conversion of energy.  ...  presented a new hybrid approach for the design optimization of a direct-drive permanent magnet flux switching generators.  ... 
doi:10.3390/en12061049 fatcat:m2kcstyncbfdnbwur7mtqsucsa

A comprehensive Review on Evolutionary Optimization Techniques applied for Unit Commitment Problem

Narayanasamy Muralikrishnan, Luke Jebaraj, Charles Christober Asir Rajan
2020 IEEE Access  
In the initial stage of this approach, there is a two stage dynamic programming based, search for the minimum constrained Lagrangian function, under stable Lagrangian multipliers.  ...  A Dynamic Programming Crossover (DPX), to explore the gene sets without any repair algorithms or penalty functions in the constrained search space is discussed by Cai and Lo [140] .  ... 
doi:10.1109/access.2020.3010275 fatcat:5zufg4upj5g5lhxbvipfppggnu

Application of Artificial Intelligence for the Optimization of Hydropower Energy Generation

Krishna Kumar, R. Saini
2021 EAI Endorsed Transactions on Industrial Networks and Intelligent Systems  
Hydropower is one of the most promising sources of renewable energy. However, a substantial initial investment requires for the construction of large civil structures.  ...  Feasibility study, detailed project report preparation, construction planning, and timely execution of work are the important activities of a hydropower plant.  ...  based on RS-LSTM on the theory of Rough Set (RS) and a Long-Term Memory (LSTM) network.  ... 
doi:10.4108/eai.6-8-2021.170560 fatcat:d7rozg5kbrc7vkfvndiiujqxnm

A comprehensive survey of sine cosine algorithm: variants and applications

Asma Benmessaoud Gabis, Yassine Meraihi, Seyedali Mirjalili, Amar Ramdane-Cherif
2021 Artificial Intelligence Review  
This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions.  ...  Finally, the paper recommended some potential future research directions for SCA.  ...  It was shown that SCA gives better results compared to Dynamic Programming (DP) approach in terms of accuracy and execution time.  ... 
doi:10.1007/s10462-021-10026-y pmid:34092884 pmcid:PMC8171367 fatcat:moutlepxhvgvbk2arulqyaut6q
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