Security constrained generation scheduling using harmony search optimization case study: day-ahead heat and power scheduling

Metaheuristic algorithm is a powerful optimization method, in which it can solve problemsby exploring the ordinarily large solution search space of these instances, that are believed tobe hard in general. However, the performances of these algorithms signicantly depend onthe setting of their parameter, while is not easy to set them accurately as well as completelyrelying on the problem's characteristic. To ne-tune the parameters automatically, manymethods have been proposed to address this challenge, including fuzzy logic, chaos, randomadjustment and others. All of these methods for many years have been developed indepen-dently for automatic setting of metaheuristic parameters, and integration of two or more ofthese methods has not yet much conducted. Thus, a method that provides advantage fromcombining chaos and random adjustment is proposed. Some popular metaheuristic algo-rithms are used to test the performance of the proposed method, i.e. simulated annealing,particle swarm optimization, dierential evolution, and harmony search. As a case study ofthis research is contrast enhancement for images of Cameraman, Lena, Boat and Rice. Ingeneral, the simulation results show that the proposed methods are better than the originalmetaheuristic, chaotic metaheuristic, and metaheuristic by random adjustment.

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Irrigation network design and reconstruction and its analysis by simulation model

Selected Scientific Papers - Journal of Civil Engineering ◽

10.2478/sspjce-2014-0001 ◽

2014 ◽

Vol 9 (1) ◽

pp. 5-14

Author(s):

Milan Čistý ◽

Zbynek Bajtek ◽

Anna Becová

Keyword(s):

Search Algorithm ◽

Irrigation System ◽

Harmony Search ◽

Sprinkler Irrigation ◽

Harmony Search Algorithm ◽

Pipe Network ◽

Linear Programming Method ◽

Irrigation Network ◽

Network Rehabilitation

Abstract There are many problems related to pipe network rehabilitation, the main one being how to provide an increase in the hydraulic capacity of a system. Because of its complexity the conventional optimizations techniques are poorly suited for solving this task. In recent years some successful attempts to apply modern heuristic methods to this problem have been published. The main part of the paper deals with applying such technique, namely the harmony search methodology, to network rehabilitation optimization considering both technical and economic aspects of the problem. A case study of the sprinkler irrigation system is presented in detail. Two alternatives of the rehabilitation design are compared. The modified linear programming method is used first with new diameters proposed in the existing network so it could satisfy the increased demand conditions with the unchanged topology. This solution is contrasted to the looped one obtained using a harmony search algorithm

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2-D Image Matching Based on Global Harmony Search Optimization

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.239-240.1133 ◽

2012 ◽

Vol 239-240 ◽

pp. 1133-1137 ◽

Cited By ~ 1

Author(s):

Li Ming Guan ◽

Qian Kai Yang ◽

Jian Lin ◽

Yi Fan Wu

Keyword(s):

Hausdorff Distance ◽

Image Matching ◽

Fitness Function ◽

Harmony Search ◽

Two Dimensional ◽

Edge Detector ◽

Matching Method ◽

Two Dimensional Image ◽

Search Optimization ◽

Canny Edge

A two-dimensional image matching method based on the improved Hausdorff distance and global harmony search optimization is presented in this paper. First, edges are extracted form the original images by the Canny edge detector. Then, a fitness function based on the improved Hausdorff distance is constructed. Finally the global harmony search optimization is adopted to optimize the fitness function. Experiments show that the proposed method is able to locate the object of interest globally and efficiently.

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Harmony Search Optimization: Application to Pipe Network Design

International Journal of Modelling and Simulation ◽

10.1080/02286203.2002.11442233 ◽

2002 ◽

Vol 22 (2) ◽

pp. 125-133 ◽

Cited By ~ 238

Author(s):

Z.W. Geem ◽

J.H. Kim ◽

G.V. Loganathan

Keyword(s):

Network Design ◽

Harmony Search ◽

Pipe Network ◽

Search Optimization

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Short-term Hydro-Thermal-Wind-Solar Power Scheduling: A Case Study of Kanyakumari Region of India

International Journal of Renewable Energy Development ◽

10.14710/ijred.0.35558 ◽

2021 ◽

Author(s):

Sunimerjit Kaur ◽

Yadwinder Singh Brar ◽

Jaspreet Singh Dhillon

Keyword(s):

Solar System ◽

Power System ◽

Simplex Method ◽

Solar Power ◽

Test System ◽

Scheduling Problem ◽

Fuel Cost ◽

Thermal Wind ◽

Power Scheduling

In this paper, a multi-objective hydro-thermal-wind-solar power scheduling problem is established and optimized for the Kanyakumari (Tamil Nadu, India) for the 18th of September of 2020. Four contrary constraints are contemplated for this case study (i) fuel cost and employing cost of wind and solar power system, (ii) NOx emission, (iii) SO2 emission, and (iv) CO2 emission. An advanced hybrid simplex method named as-the -constrained simplex method (ACSM) is deployed to solve the offered problem. To formulate this technique three amendments in the usual simplex method (SM) are adopted (i) -level differentiation, (ii) mutations of the worst point, and (iii) the incorporation of multi-simplexes. The fidelity of the projected practice is trailed upon two test systems. The first test system is hinged upon twenty-four-hour power scheduling of a pure thermal power system. The values of total fuel cost and emissions (NOx, SO2, CO2) are attained as 346117.20 Rs, 59325.23 kg, 207672.70 kg, and 561369.20 kg, respectively. In the second test system, two thermal generators are reintegrated with renewable energy resources (RER) based power systems (hydro, wind, and solar system) for the same power demands. The hydro, wind, and solar data are probed with the Glimn-Kirchmayer model, Weibull Distribution Density Factor, and Normal Distribution model, respectively. For this real-time hydro-thermal-wind-solar power scheduling problem the values of fuel cost and emissions (Nox, SO2, CO2) are shortened to 119589.00 Rs, 24262.24 kg, 71753.80 kg, and 196748.20 kg, respectively for the specified interval. The outturns using ACSM are contrasted with the SM and evolutionary method (EM). The values of the operating cost of solar system, wind system, total system transmission losses, and computational time of test system-2 with ACSM, SM, and EM are evaluated as 620497.40 Rs, 1398340.00 Rs, 476.6948 MW & 15.6 seconds; 620559.45 Rs, 1398479.80 Rs, 476.7425 MW & 16.8 seconds; and 621117.68 Rs, 1399737.80 Rs, 477.1715 MW and 17.3 seconds, respectively. The solutions portray the sovereignty of ACSM over the other two methods in the entire process.

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