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The Improvement of Genetic Algorithm and Its Application in the Optimal Operation of Reservoirs
Zhong Denghua,Xiong Kaizhi,Cheng Liqin
Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 22-26
Genetic algorithms search for the optimal solution by continually improving the individual of the population. Because of the difficulty in convergence and solving of individual fitness, standard genetic algorithm (SGA) is not used widely. Based on the improvement of SGA, especially the improvement of the selection operator in SGA, a new genetic algorithm(AGA) is proposed to solve the problems about the optimal operation of reservoirs. A new coding method is presented which is based on the subscript sequence of reservoir capacity array other than the water level sequence. An engineering example illustrates that AGA is much more efficient than SGA, and also the new coding method predigests the course of genetic algorithm in the optimal operation of reservoirs.
Keywords： genetic algorithm improvement reservoir optimal operation
A Pareto Strength SCE-UA Algorithm for ReservoirOptimization Operation
Lin Jianyi,Cheng Chuntian,Gu Yanping,Wu Xinyu
Strategic Study of CAE 2007, Volume 9, Issue 10, Pages 80-82
In this paper, the Pareto strength SCE-UA algorithm (PSSCE) is presented to handle the reservoir optimization operation problem. The approach treats the constrained optimization as a two-objective optimization: one objective is the original objective function; the other is the degree of constraint violation. SCE-UA algorithm is applied to the two-objective optimization by using the individual's comparing procedure and the population ranking procedure which are respectively based on the Pareto dominance relationship and the Pareto strength definition. The new approach is more general, effective and robust.
Keywords： reservoir optimal operation constrained optimization Pareto dominate Pareto strength SCE-UA algorithm
Li Hongbin,Zhang Chenghui,Song Jun
Strategic Study of CAE 2001, Volume 3, Issue 9, Pages 52-57
The paper analyzes common methods for the optimal scheduling modeling problem of variable-pressure variable-flow operation of inverter-drive pumps connected in parallel and compares the merits and defects of them. In the common method, the objective function is the shaft horsepower of the pumps and the constrained conditions are water supply target and high-efficiency area of pumps. In another method, the objective function is the square of the difference between the actual and needed flow when satisfying the lift target and the constrained conditions are high-efficiency areas of pumps. The paper proposes a new modeling method, which is compatible with the actual operation and has higher precision and satisfies the engineering requirement on lower switching frequency. Simulation results have proved its validity.
Keywords： optimal scheduling nonlinear bounded programming speed regulation of pumps
Recent progress on the study of distributed economic dispatch in smart grid: an overview Review Articles
Guanghui Wen, Xinghuo Yu, Zhiwei Liu,wenguanghui@gmail.com,x.yu@rmit.edu.au,zwliu@hust.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1, Pages 1-140 doi: 10.1631/FITEE.2000205
Keywords： Distributed economic dispatch Distributed optimization Smart grid Continuous-time optimization algorithm Discrete-time optimization algorithm
Hamid Reza BOVEIRI
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4, Pages 498-510 doi: 10.1631/FITEE.1500394
Keywords： Ant colony optimization List scheduling Multiprocessor task graph scheduling Parallel and distributed systems
Research on Rubber Tired Gantry Crane Scheduling of Port Container Terminal
Wei Zhong,Shen Jinsheng,Xiao Rongna,Zhang Zhiwen,Shi Dinghuan
Strategic Study of CAE 2007, Volume 9, Issue 8, Pages 47-51
With the coming of trade globalization, container transportation rapidly develops all over the world. Port container terminal is much more emphasized than before as a node of container transportation. At container terminal, rubber tired gantry crane has already been a bottleneck of terminal operation with its large volume and low efficiencies. This paper studies the rubber tired gantry crane scheduling of port container terminal in the quantitative operation condition by using proposed mixed integer programming (MIP) model, which gives decision support to terminal managers through case analysis.
Keywords： container terminal yard rubber tired gantry crane (RTGC) scheduling
Firefly algorithm with division of roles for complex optimal scheduling Research Articles
Jia Zhao, Wenping Chen, Renbin Xiao, Jun Ye,zhaojia925@163.com,chen_9731@163.com,rbxiao@hust.edu.cn,yejun68@sina.com
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 10, Pages 1311-1333 doi: 10.1631/FITEE.2000691
Keywords： 萤火虫算法；角色分工；柯西突变；精英邻域搜索；优化调度
Application prospect of PSO in hydrology
Dong Qianjin,Cao Guangjing,Wang Xianjia,Dai Huichao,Zhao Yunfa
Strategic Study of CAE 2010, Volume 12, Issue 1, Pages 81-85
The basic algorithm and its flow are introduced at first, then its application to scheduling operation of reservoir, economic operation of hydropower and parameter calibration in hydrology field is discussed, the suggestion for future study is pointed out that should strengthen the study of adaptive mechanism and convergence performance in PSO, compare and combine with other technology, broaden the region of application to hydrology which may supply a new method for solving much optimal problem in hydrology field.
Keywords： hydrology science particle swarm optimization scheduling operation economical operation
Liu Dayan,Ji Guoqiang,An Yougui
Strategic Study of CAE 2011, Volume 13, Issue 7, Pages 66-69
In order to improve the comprehensive benefits of Three Gorges Project (TGP), the optimal research and practice of planned reservoir regulation mode have been made since the impoundment of Three Gorges Reservoir. Several key techniques are analyzed and summarized, including coordination of multipurpose demands on flood control, power generation, navigation, water supply and ecological protection, risk control of reservoir regulation, optimization of regulation decision and preparation of regulation rules for standardizing the regulation work. The purpose is to seek new ways of improving comprehensive utilization and regulation, so as to realize the maximum economic and social benefits and to make the TGP become an environment-friendly and great transcentury project.
Keywords： Three Gorges Reservoir comprehensive utilization optimal regulation decision risk control
Optimal Operation of Integrated Heat and Electricity Systems: A Tightening McCormick Approach Article
Lirong Deng, Hongbin Sun, Baoju Li, Yong Sun, Tianshu Yang, Xuan Zhang
Engineering 2021, Volume 7, Issue 8, Pages 1076-1086 doi: 10.1016/j.eng.2021.06.006
Combined heat and electricity operation with variable mass flow rates promotes flexibility, economy, and sustainability through synergies between electric power systems (EPSs) and district heating systems (DHSs). Such combined operation presents a highly nonlinear and nonconvex optimization problem, mainly due to the bilinear terms in the heat flow model—that is, the product of the mass flow rate and the nodal temperature. Existing methods, such as nonlinear optimization, generalized Benders decomposition, and convex relaxation, still present challenges in achieving a satisfactory performance in terms of solution quality and computational efficiency. To resolve this problem, we herein first reformulate the district heating network model through an equivalent transformation and variable substitution. The reformulated model has only one set of nonconvex constraints with reduced bilinear terms, and the remaining constraints are linear. Such a reformulation not only ensures optimality, but also accelerates the solving process. To relax the remaining bilinear constraints, we then apply McCormick envelopes and obtain an objective lower bound of the reformulated model. To improve the quality of the McCormick relaxation, we employ a piecewise McCormick technique that partitions the domain of one of the variables of the bilinear terms into several disjoint regions in order to derive strengthened lower and upper bounds of the partitioned variables. We propose a heuristic tightening method to further constrict the strengthened bounds derived from the piecewise McCormick technique and recover a nearby feasible solution. Case studies show that, compared with the interior point method and the method implemented in a global bilinear solver, the proposed tightening McCormick method quickly solves the heat-electricity operation problem with an acceptable feasibility check and optimality.
Keywords： Integrated heat and electricity system Convex relaxation Operation McCormick envelopes
Global Optimization of Nonlinear Blend-Scheduling Problems
Pedro A. Castillo Castillo Pedro M. Castro,Vladimir Mahalec
Engineering 2017, Volume 3, Issue 2, Pages 188-201 doi: 10.1016/J.ENG.2017.02.005
The scheduling of gasoline-blending operations is an important problem in the oil refining industry. This problem not only exhibits the combinatorial nature that is intrinsic to scheduling problems, but also non-convex nonlinear behavior, due to the blending of various materials with different quality properties. In this work, a global optimization algorithm is proposed to solve a previously published continuous-time mixed-integer nonlinear scheduling model for gasoline blending. The model includes blend recipe optimization, the distribution problem, and several important operational features and constraints. The algorithm employs piecewise McCormick relaxation (PMCR) and normalized multiparametric disaggregation technique (NMDT) to compute estimates of the global optimum. These techniques partition the domain of one of the variables in a bilinear term and generate convex relaxations for each partition. By increasing the number of partitions and reducing the domain of the variables, the algorithm is able to refine the estimates of the global solution. The algorithm is compared to two commercial global solvers and two heuristic methods by solving four examples from the literature. Results show that the proposed global optimization algorithm performs on par with commercial solvers but is not as fast as heuristic approaches.
Keywords： Global optimization Nonlinear gasoline blending Continuous-time scheduling model Piecewise linear relaxations
Resilient distributed economic dispatch of a cyber-power system under DoS attack Research Articles
Feisheng Yang, Xuhui Liang, Xiaohong Guan,yangfeisheng@nwpu.edu.cn,liangxuhui@mail.nwpu.edu.cn,xhguan@sei.xjtu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1, Pages 1-140 doi: 10.1631/FITEE.2000201
Keywords： Economic dispatch Denial of service (DoS) attack Resilient event-triggered scheme Distributed optimization
Research on economic operation of microgrid with high temperature energy storage system
Luo Yi and Zhang Lijuan
Strategic Study of CAE 2015, Volume 17, Issue 1, Pages 74-80
With the advantages of high efficiency， environmental protection and energy conservation， the high energy storage system has extensive application prospect， economic operation is becoming a wide concerned issue on microgrid with high temperature energy storage system. By analyzing the microgrid with high temperature energy storage system， based on the characteristics of each micro-source， the model of high temperature energy storage system and economic operation model of the grid-connected microgrid are constructed with time-sharing electricity. The improved immune particle swarm algorithm is used to solve the proposed model， and then field application verifies the effectiveness of model. Results show that the proposed method and model can reach the globally optimal solution of dynamic microgrid， and it is of cost saving and significant economic benefit for high temperature energy storage system to participate in thermal load supplying.
A three-stage method with efficient calculation for lot streaming flow-shop scheduling Research Articles
Hai-yan WANG, Fu ZHAO, Hui-min GAO, John W. SUTHERLAND
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 1002-1020 doi: 10.1631/FITEE.1700457
An important production planning problem is how to best schedule jobs (or lots) when each job consists of a large number of identical parts. This problem is often approached by breaking each job/lot into sublots (termed lot streaming). When the total number of transfer sublots in lot streaming is large, the computational effort to calculate job completion time can be significant. However, researchers have largely neglected this computation time issue. To provide a practical method for production scheduling for this situation, we propose a method to address the n-job, m-machine, and lot streaming flow-shop scheduling problem. We consider the variable sublot sizes, setup time, and the possibility that transfer sublot sizes may be bounded because of capacity constrained transportation activities. The proposed method has three stages: initial lot splitting, job sequencing optimization with efficient calculation of the makespan/total flow time criterion, and transfer adjustment. Computational experiments are conducted to confirm the effectiveness of the three-stage method. The experiments reveal that relative to results reported on lot streaming problems for five standard datasets, the proposed method saves substantial computation time and provides better solutions, especially for large-size problems.
Keywords： Lot streaming Flow-shop scheduling Transfer sublots Variable size Bounded size Differential evolution
Lin Bingnan,Zhou Jianjun
Strategic Study of CAE 2004, Volume 6, Issue 4, Pages 30-33
In this preliminary study, it is shown that for a reservoir on a river of rich runoff, such as the Yangtze, elaborate scheme of sediment management may be devised to substantially reduce reservoir deposition. The mathematical model applied in this investigation has been fairly well verified with long - term field data of sediment transport by unsteady flow in the Lower Yellow River. In view of the importance of TGP, however, further investigation with physical models and mathematical model of other versions is planned. Great financial benefits are involved.
Keywords： sediment management reservoir suspended load deposition flood stage
Title Author Date Type Operation
The Improvement of Genetic Algorithm and Its Application in the Optimal Operation of Reservoirs
Zhong Denghua,Xiong Kaizhi,Cheng Liqin
Journal Article
A Pareto Strength SCE-UA Algorithm for ReservoirOptimization Operation
Lin Jianyi,Cheng Chuntian,Gu Yanping,Wu Xinyu
Journal Article
Optimal Scheduling of Variable-pressure Variable-flow Operation of Inverter-drive Pumps Connected in Parallel
Li Hongbin,Zhang Chenghui,Song Jun
Journal Article
Recent progress on the study of distributed economic dispatch in smart grid: an overview
Guanghui Wen, Xinghuo Yu, Zhiwei Liu,wenguanghui@gmail.com,x.yu@rmit.edu.au,zwliu@hust.edu.cn
Journal Article
An incremental ant colony optimization based approach to task assignment to processors for multiprocessor scheduling
Hamid Reza BOVEIRI
Journal Article
Research on Rubber Tired Gantry Crane Scheduling of Port Container Terminal
Wei Zhong,Shen Jinsheng,Xiao Rongna,Zhang Zhiwen,Shi Dinghuan
Journal Article
Firefly algorithm with division of roles for complex optimal scheduling
Jia Zhao, Wenping Chen, Renbin Xiao, Jun Ye,zhaojia925@163.com,chen_9731@163.com,rbxiao@hust.edu.cn,yejun68@sina.com
Journal Article
Application prospect of PSO in hydrology
Dong Qianjin,Cao Guangjing,Wang Xianjia,Dai Huichao,Zhao Yunfa
Journal Article
The research and practice for key techniques of comprehensive utilization and regulation for Three Gorges Reservoir
Liu Dayan,Ji Guoqiang,An Yougui
Journal Article
Optimal Operation of Integrated Heat and Electricity Systems: A Tightening McCormick Approach
Lirong Deng, Hongbin Sun, Baoju Li, Yong Sun, Tianshu Yang, Xuan Zhang
Journal Article
Global Optimization of Nonlinear Blend-Scheduling Problems
Pedro A. Castillo Castillo Pedro M. Castro,Vladimir Mahalec
Journal Article
Resilient distributed economic dispatch of a cyber-power system under DoS attack
Feisheng Yang, Xuhui Liang, Xiaohong Guan,yangfeisheng@nwpu.edu.cn,liangxuhui@mail.nwpu.edu.cn,xhguan@sei.xjtu.edu.cn
Journal Article
Research on economic operation of microgrid with high temperature energy storage system
Luo Yi and Zhang Lijuan
Journal Article
A three-stage method with efficient calculation for lot streaming flow-shop scheduling
Hai-yan WANG, Fu ZHAO, Hui-min GAO, John W. SUTHERLAND
Journal Article
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