This paper attempts to investigate the applicability of harmony search algorithm (HSA) to solve extremely challenging non-convex economic load dispatch problem with valve point loading effect, prohibited operating zon...
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This paper attempts to investigate the applicability of harmony search algorithm (HSA) to solve extremely challenging non-convex economic load dispatch problem with valve point loading effect, prohibited operating zones, ramp-rate limits, spinning reserve constrains and transmission losses involving variations of consumer load patterns. The performance of the proposed approach HSA has been tested successfully on the standard 6-bus, IEEE-14 bus and IEEE-30 bus system with several heuristic load patterns. The results of this study reveals that the proposed approach is able to find appreciable economical load dispatch solutions than those of improved fast evolutionary program and particle swarm optimization. Besides this, the transmission line losses are also considerably reduced and the computation time is reasonably even and less when compared to other methods.
In this article a novel approach to visual tracking called the harmony filter is presented. It is based on the harmony search algorithm, a derivative free meta-heuristic optimisation algorithm inspired by the way musi...
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In this article a novel approach to visual tracking called the harmony filter is presented. It is based on the harmony search algorithm, a derivative free meta-heuristic optimisation algorithm inspired by the way musicians improvise new harmonies. The harmony filter models the target as a colour histogram and searches for the best estimated target location using the Bhattacharyya coefficient as a fitness metric. Experimental results show that the harmony filter can robustly track an arbitrary target in challenging conditions. We compare the speed and accuracy of the harmony filter with other popular tracking algorithms including the particle filter and the unscented Kalman filter. Experimental results show the harmony filter to be faster and more accurate than both the particle filter and the unscented Kalman filter. (c) 2010 Elsevier B.V. All rights reserved.
This paper introduces a new protection system for solar photovoltaic generator (SPVG)-connected networks. The system is a combination of voltage-restrained overcurrent relays (VROCRs) and directional overcurrent relay...
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This paper introduces a new protection system for solar photovoltaic generator (SPVG)-connected networks. The system is a combination of voltage-restrained overcurrent relays (VROCRs) and directional overcurrent relays (DOCRs). The DOCRs are implemented to sense high fault current on the grid side, and VROCRs are deployed to sense low fault current supplied by the SPVG. Furthermore, a novel challenge for the optimal coordination of DOCRs-DOCRs and DOCRs-VROCRs is formulated. Due to the inclusion of additional constraints of VROCR, the relay coordination problem becomes more complicated. To solve this complex problem, a hybrid harmony search algorithm-Bollinger Bands (HSA-BB) method is proposed. Also, the lower and upper bands in BB are dynamically adjusted with the generation number to assist the HSA in the exploration and exploitation stages. The proposed method is implemented on three different SPVG-connected networks. To exhibit the effectiveness of the proposed method, the obtained results are compared with the genetic algorithm (GA), particle swarm optimization (PSO), cuckoo searchalgorithm (CSA), HSA and hybrid GA-nonlinear programming (GA-NLP) method. Also, the superiority of the proposed method is evaluated using descriptive and nonparametric statistical tests.
This paper proposes the integration of fuzzy logic system with harmony search algorithm (FHSA) to find the optimal solution for optimal power flow (OPF) problem in a power system. The objective of the method is to min...
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This paper proposes the integration of fuzzy logic system with harmony search algorithm (FHSA) to find the optimal solution for optimal power flow (OPF) problem in a power system. The objective of the method is to minimize the total fuel cost of thermal generating units having quadratic cost characteristics and severity index (SI). The generator active power, generator bus voltage magnitude, transformer taps, VAR of shunts and the reactance of thyristor controlled series capacitor (TCSC) are taken as the control variables. The adjustment of proposed algorithm parameters such as pitch adjustment rate (PAR) and bandwidth (BW) is done through fuzzy logic system (FLS). The effectiveness of the proposed method has been tested on the standard IEEE 30 bus, IEEE 57 bus and IEEE 118 bus systems in MATLAB environment and their results are compared with conventional harmony search algorithm (HSA) and other heuristic methods reported in the literature recently. (C) 2015 Elsevier Ltd. All rights reserved.
In this paper, a new approach based on novel heuristic algorithms is used to locate and model multitype flexible alternating current transmission system (FACTS) devices (series and parallel) in order to improve the to...
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In this paper, a new approach based on novel heuristic algorithms is used to locate and model multitype flexible alternating current transmission system (FACTS) devices (series and parallel) in order to improve the total transfer capability and decrease the line congestion and total power loss. The multitype FACTS devices, including the static synchronous series compensator, static compensator, and unified power flow controller, have been optimally sized and located simultaneously through the harmony search algorithm (HSA). To achieve this purpose, a program in MATLAB code has been developed in order to extend the conventional Newton-Raphson algorithm for multitype facts applications. Since the optimization is multipurpose, an analytical hierarchy process is used to obtain the priority vector for each alternative. The HSA, with a good convergence property and more accurate results, can satisfy the objective function better. The effectiveness of the proposed method is demonstrated using a modified 30-bus IEEE test system as well as Iranian 230 kV southeast regional grids in normal and contingency conditions. On the other hand, the optimization performance is compared with a genetic algorithm and particle swarm optimization. The simulation results illustrate that the proposed algorithm performs better than the other algorithms. Moreover, it is shown that simultaneous optimizations of multitype FACTS devices have more advantages than the separate optimization of single-type ones.
Given the inherent limitations of sensor nodes in wireless sensor networks (WSNs) such as energy limitation and since sensor nodes are distributed in harsh environments in the majority of WSN applications, the probabi...
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Given the inherent limitations of sensor nodes in wireless sensor networks (WSNs) such as energy limitation and since sensor nodes are distributed in harsh environments in the majority of WSN applications, the probability of their failure is high. Hence, nodes' failure for any reason is regarded as a challenge for these networks which has a negative impact on the efficiency of the entire network. Consequently, for achieving appropriate performance in important applications, faulty nodes should be detected and removed from network. Detection of faulty nodes in these networks is considered to be an NP-hard problem. Thus, meta-heuristic algorithms are used for solving this problem. Given the significance of this issue, a model based on harmony search algorithm (HSA) is proposed in this paper for detecting faulty nodes. In this model, for doing so, each memory vector in the HSA includes energy and correlation between neighbor nodes data. The results of simulation indicated that the proposed model is more efficient than other methods and is able to optimize detection precision rate, packet delivery rate and remaining energy.
作者:
Al-Betar, Mohammed AzmiAl Balqa Appl Univ
Al Huson Univ Coll Dept Informat Technol POB 50 Al Huson Irbid Jordan Ajman Univ
Coll Engn & Informat Technol Artificial Intelligence Res Ctr AIRC Ajman U Arab Emirates
The economic load dispatch (ELD) is a crucial problem in electrical power system domain. It is tackled by managing the outputs of predefined generation units in accordance with equality constraints related to the bala...
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The economic load dispatch (ELD) is a crucial problem in electrical power system domain. It is tackled by managing the outputs of predefined generation units in accordance with equality constraints related to the balance of power of units and inequality constraints related to the output of units. Due to its complexity, ELD is modeled as a non-linear, non-convex, and non smooth optimization problem. Therefore, several optimization algorithms have been tailored to tackle ELD. The main contribution of this paper is to utilize the island based harmony search algorithm (iHS) for ELD problem. iHS divides the ELD population to a set of sub-populations called islands. The original harmonysearch (HS) is used for each island as an isolated run. At specific migration frequency, some solutions counted by migration rate are asynchronously migrated from one island to another based on migration policy controlled by migration topology. To ensure the feasibility of obtained ELD solutions, the repair process is also proposed as another contribution. In order to evaluate the proposed method, five real-world ELD test cases including generators with 3 units, two versions of generators with 13 units, 40 units and finally 80 units. Initially, the effect of parameters (Number of island, migration frequency, and migration rate) on the convergence behaviour of iHS is studied for all test cases. For comparative evaluations, the results of each ELD test case is compared with those produced by other well-established methods. The proposed iHS is able to produce the best overall results for three out of five real-world ELD test cases. For further validations, other five complex ELD versions introduced for IEEE-CEC2011 including more constraints (Ramp Rate Limits and prohibited operating zones) are also used which are generators with 6 units, 13 units, 15 units, 40 units, and 140 units. The comparative results of ELD versions for IEEE-CEC2011 test cases show that the proposed iHS-based ELD method
This paper presents a new multi-objective harmonysearch (MOHS) algorithm for environmental/economic dispatch (EED) problem. The EED problem is formulated as a non linear and constrained optimization problem with comp...
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This paper presents a new multi-objective harmonysearch (MOHS) algorithm for environmental/economic dispatch (EED) problem. The EED problem is formulated as a non linear and constrained optimization problem with competing and non-commensurable objectives. The two competing objectives, fuel cost and emission, were optimized simultaneously using the proposed MONS algorithm. The MOHS algorithm uses a non dominated sorting and ranking procedure with dynamic crowding distance to develop and maintain a well distributed Pareto-optimal set. The proposed algorithm has been tested on the standard IEEE 30 bus and 118 bus systems. Simulation results are compared with the fast non dominated sorting genetic algorithm (NSGA-II) method. The results clearly show that the proposed method is able to produce a well distributed Pareto-optimal solutions than the NSGA-II method. (C) 2011 Elsevier B.V. All rights reserved.
An efficient modified gravitational harmony search algorithm (MGHSA) for topology optimization of double and triple layer grid structures is presented in the article. In MGHSA, the best agents in each iteration are id...
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An efficient modified gravitational harmony search algorithm (MGHSA) for topology optimization of double and triple layer grid structures is presented in the article. In MGHSA, the best agents in each iteration are identified and each of them is considered as a group leader. Other agents are randomly located in these groups. To determine the new agents' positions, only the group leader applies force to the other agents in the group. Also, a novel member grouping strategy is included in the optimization algorithm. Optimization results demonstrate the efficiency of the novel MGHSA algorithm and member grouping strategy developed in this study. (C) 2016 Elsevier Ltd. All rights reserved.
Noise exposure is not only related to the non-auditory effects that endanger worker safety. but is also related to hearing loss. Permanent hearing loss and its associated problems are clearly a critical and widespread...
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Noise exposure is not only related to the non-auditory effects that endanger worker safety. but is also related to hearing loss. Permanent hearing loss and its associated problems are clearly a critical and widespread consequence of excessive noise exposure. Thus, it is necessary for industrial engineers to evaluate quantitatively the dominant noise source while multiple machines are running. This paper presents an efficient method to determine sound power levels (PWLs) of the near noise sources generated by the simultaneous operation of multiple machines. PWLs, generally based on the point source and spherical radiation in a free field, are obtained from required data such as the measured sound pressure levels (SPLs), the locations in which the SPLs are measured, and the locations of the machines, using a harmonysearch (HS) algorithm. Relevance to industry: The procedure for determining the PWL of an individual machine is a useful tool for industrial engineers to identify the dominant noise source in the workplace. With the proposed optimization technique, the manufacturing industry can evaluate the workplace noise levels emitted by multiple machines and determine whether industrial workers are exposed to a noise hazard due to the dominant noise source. (c) 2008 Elsevier B.V. All rights reserved.
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