An effort is made in this paper to discuss the real-time problem of interconnected power system for resistance to random and rapid changes of small step load perturbation (SLP) in connection with automatic generation ...
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An effort is made in this paper to discuss the real-time problem of interconnected power system for resistance to random and rapid changes of small step load perturbation (SLP) in connection with automatic generation control (AGC). Rapid changes of loads, for a continuous period of time, always create problems in the benefits of optimum AGC performance. In view of this, a continuous nature of load profile is designed for its implementation in real-time application of AGC. In such case, the point of concern is to closely examine the frequency deviation and the behavior of tie-line power flow profiles within the control areas. To overcome these consequences, a novel quasi-oppositional harmonysearch (QOHS) algorithm based proportional integral derivative (PID) controller is proposed along with filtering technique. The test system under consideration is a three-area power system with two generating units (non-identical capacity) in each area having an appropriate generation rate constraint (GRC). Importance of considering the physical constraint (like GRC) is demonstrated by examining the closed loop performance of the studied power system model. The performance of the proposed QOHS algorithm is verified by comparing the obtained dynamic responses to those offered by the imperialist competitive algorithm for the same test system. In the final phase of investigation, the total load changes of all the three control areas are also considered for the purpose of analyzing the saturation and non-linearity effects of turbine. It may be apprehended from the simulation results that the proposed QOHS based PID controller is more efficient to minimize the effect of continuous SLP. The proposed QOHS algorithm shows the feasibility of the approach and is able to regain its steady-state operation for such load perturbation profiles. (C) 2015 Elsevier Ltd. All rights reserved.
In this study, cost optimization of a composite floor system is performed utilizing the harmony search algorithm and an improved harmony search algorithm. These algorithms imitate the musical performance process that ...
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In this study, cost optimization of a composite floor system is performed utilizing the harmony search algorithm and an improved harmony search algorithm. These algorithms imitate the musical performance process that takes place when a musician searches for a better state of harmony, similar to the optimum design process which looks for the optimum solution. A composite floor system is designed by the LRFD-AISC method, using a unit consisting of a reinforced concrete slab and steel beams. The objective function is considered as the cost of the structure, which is minimized subjected to serviceability and strength requirements. Examples of composite floor systems are presented to illustrate the performance of the presented algorithms. (C) 2010 Elsevier Ltd. All rights reserved.
The in-core fuel management optimisation (ICFMO) problem is the problem of finding an optimal fuel reload configuration for a nuclear reactor core. ICFMO may involve the pursuit of a single or multiple objectives, whi...
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The in-core fuel management optimisation (ICFMO) problem is the problem of finding an optimal fuel reload configuration for a nuclear reactor core. ICFMO may involve the pursuit of a single or multiple objectives, while satisfying several constraints. Very little multiobjective ICFMO research involving the fundamental notion of Pareto optimality has, however, been performed. In this paper, a unified methodology is proposed for the modelling and solution of single- and multiobjective ICFMO problems, be they constrained or unconstrained. With this methodology, ICFMO problems incorporating a variety of objectives and/or constraints may be modelled and solved rapidly, thus providing a cycle-to-cycle optimisation decision support capability for nuclear reactors. An augmented Chebyshev scalarising objective function is incorporated in the methodology for modelling any number of objectives, while an additive penalty function handles potential constraints. Furthermore, an adapted harmony search algorithm is used to solve a given ICFMO problem. The algorithm is able to yield a single solution or a nondominated set of solutions as result (depending on the number of objectives in a problem). The applicability of the methodology is demonstrated by solving (approximately) a variety of ICFMO test problems for the SAFARI-I nuclear research reactor. The results indicate that the methodology may be used as an effective decision support tool for reactor operators tasked with designing reload configurations from cycle to cycle. (C) 2015 Elsevier Ltd. All rights reserved.
Wireless Sensor Networks is a complex network with millions of small-scale sensor nodes, working together to detect certain physical phenomena. Sensor nodes are operated by battery therefore the major concern is energ...
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Wireless Sensor Networks is a complex network with millions of small-scale sensor nodes, working together to detect certain physical phenomena. Sensor nodes are operated by battery therefore the major concern is energy efficiency. Clustering is an effective technique to decrease the energy depletion in the network. However, choosing the optimum Cluster Heads is an NP-Hard problem. This paper proposes an unequal clustering technique that selects probationary Cluster Heads through fuzzy logic and the optimization of this probationary Cluster Heads is done through harmony search algorithm (HSA). The proposed algorithm exhibits the dynamic capability of fuzzy logic and high search efficiency of HSA that extends the network lifespan. The findings are simulated against traditional clustering protocols and compared. The findings obtained show that the protocol proposed is performing superior in terms of network lifespan prolongation and other metrics.
The Chinese code for seismic design of buildings (GB50011-2010) allows the use of sets of ground motions in the seismic design and analysis process. However, the prescriptions for record selection are somewhat vague c...
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The Chinese code for seismic design of buildings (GB50011-2010) allows the use of sets of ground motions in the seismic design and analysis process. However, the prescriptions for record selection are somewhat vague compared with those specified in the other contemporary seismic codes. Through a detailed comparison between Eurocode-8 and GB50011-2010, some record selection criteria for GB50011-2010 are recommended. On the basis of those proposed criteria, selecting and scaling of recorded ground motions is mathematically formulated as an engineering-constrained optimization problem that minimizes the difference between the design response spectrum and the mean response spectrum of selected and scaled ground motions within a period range of interest. For such a constrained optimization problem, the harmonysearch (HS) algorithm, which conceptualizes using the musical process of searching for a perfect state of harmony, is modified in this study by incorporating the constraint-handling technique on the basis of the fitness priority-based ranking method. Using magnitude, distance, and site conditions, a total of 704 records are selected from the PEER strong ground motion database to form a search space of ground motions. The modified HS algorithm is then applied to the predefined search space to obtain the ground motions sets compatible with the target design spectrum defined in GB 50011-2010. The numerical results demonstrate that the modified HS-based solution is an efficient method for generating input ground motion sets consistent with the code-based design response spectrum.
In this article, a dynamic harmonysearch (DHS) algorithm is proposed for the identical parallel machines scheduling problem with the objective to minimize makespan. First, an encoding scheme based on a list schedulin...
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In this article, a dynamic harmonysearch (DHS) algorithm is proposed for the identical parallel machines scheduling problem with the objective to minimize makespan. First, an encoding scheme based on a list scheduling rule is developed to convert the continuous harmony vectors to discrete job assignments. Second, the whole harmony memory (HM) is divided into multiple small-sized sub-HMs, and each sub-HM performs evolution independently and exchanges information with others periodically by using a regrouping schedule. Third, a novel improvisation process is applied to generate a new harmony by making use of the information of harmony vectors in each sub-HM. Moreover, a local search strategy is presented and incorporated into the DHS algorithm to find promising solutions. Simulation results show that the hybrid DHS (DHS_LS) is very competitive in comparison to its competitors in terms of mean performance and average computational time.
Abstract-This article presents the application of support vector machines to adaptive power system stabilizer design in a multi-machine power system based on the harmony search algorithm. Data from a multi-machine pow...
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Abstract-This article presents the application of support vector machines to adaptive power system stabilizer design in a multi-machine power system based on the harmony search algorithm. Data from a multi-machine power system are the input features of the support vector machines. Support vector machine parameters and power system features are simultaneously optimized by harmonysearch based on the k-fold cross-validation technique. The proposed algorithm is trained by the optimal support vector machine parameters and optimal power system features. Power system stabilizer parameters produced by the proposed algorithm can be adapted by various operating conditions when the power system operates either inside or outside the training ranges. Simulation studies in the IEEJ Western Japan ten-machine power system demonstrate that the proposed algorithm is far superior to conventional power system stabilizers with fixed parameters and those designed by a robust coupled vibration model under various operating conditions and severe disturbances.
This paper proposes a tournament-based harmonysearch (THS) algorithm for economic load dispatch (ELD) problem. The THS is an efficient modified version of the harmonysearch (HS) algorithm where the random selection ...
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This paper proposes a tournament-based harmonysearch (THS) algorithm for economic load dispatch (ELD) problem. The THS is an efficient modified version of the harmonysearch (HS) algorithm where the random selection process in the memory consideration operator is replaced by the tournament selection process to activate the natural selection of the survival-of-the-fittest principle and thus improve the convergence properties of HS. The performance THS is evaluated with ELD problem using five different test systems: 3-units generator system;two versions of 13-units generator system;40-units generator system;and large-scaled 80-units generator system. The effect of tournament size (t) on the performance of THS is studied. A comparative evaluation between THS and other existing methods reported in the literature are carried out. The simulation results show that the THS algorithm is capable of achieving better quality solutions than many of the well-popular optimization methods. (C) 2016 Elsevier B.V. All rights reserved.
Reconfigurable hybrid energy systems are vividly becoming very popular. Many algorithms were developed to optimize the best configuration of the distributed system in order to maximize the voltage stability index (VSI...
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Reconfigurable hybrid energy systems are vividly becoming very popular. Many algorithms were developed to optimize the best configuration of the distributed system in order to maximize the voltage stability index (VSI), minimize the power loss, minimize the cost of energy generated by distributed generating sources (DGS) and minimize the total emission produced by DGS and the grid. This paper Presented application of harmony search algorithm to for optimal sizing and distribution system reconfiguration of hybrid fuel cell (FC), wind turbine (WT) and photovoltaic (PV) system for maximizing VSI, minimizing the cost, power loss and emission and also proposal a cluster computing based novel method to identify the bus to which the renewable energy sources can be connected for optimal utilization.
This paper proposes an efficient harmonysearch (HS) algorithm for determining the material parameters of a fatigue cracking model based on Accelerated Pavement Testing (APT). APT is preferred over typical laboratory ...
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This paper proposes an efficient harmonysearch (HS) algorithm for determining the material parameters of a fatigue cracking model based on Accelerated Pavement Testing (APT). APT is preferred over typical laboratory experiments and testing because APT can simulate field pavement performance. The main advantage of the HS heuristic algorithm is its ability to find the best global solution of a nonlinear complex function based on a stochastic random search instead of a gradient search that requires derivative information. Finally, this paper develops a fatigue cracking model according to the hypothesis of cumulative damage for the asphalt concrete layer and compares APT to existing models. In comparison with existing models, the APT model is found to have the capability of simulating the field performance because it considers the wandering effect, resulting in longer fatigue cracking life than those life computed by the models from existing lab experiments.
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