Application of Soft Computing Methods for Economic Load Dispatch Problems

Hardiansyah, Hardiansyah; Junaidi,; Ms, Yohannes

doi:10.5120/9344-3664

Cited by 3 publications

(7 citation statements)

References 17 publications

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“…Bu problem ayrık optimizasyon problemi olduğundan klasik optimizasyon metotları yetersiz kalabilmektedir. Bu nedenle problemin çözümünde metasezgisel optimizasyon metotları yaygın olarak kullanılmaktadır [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Bu çalışmalarda özetle; yapay sinir ağları kullanılarak 6 santralden oluşan 20 baralı sistemin maliyetinin minimizasyonu [1], IEEE 30 bara ve 6 termik santralli bir sisteme yapay arı kolonisi kullanılarak [2], 3 termik santralli kayıplı bir sisteme benzetim tavlama algoritması kullanılarak [3] EYD problemleri çözümlenmiştir.…”

Section: Gi̇ri̇ş (Introduction)unclassified

“…Fakat EYD problemlerinin çözümüne ilişkin GKA uygulamaları literatürde yer almamaktadır. Bunlara ilaveten diğer bir çok alanda olduğu gibi EYD problemlerinin çözümünde de DGA ve PSO metotları hızlı yakınsama ve optimum çözüme erişim açısından diğer optimizasyon tekniklerine göre daha avantajlı olduğu literatürde bazı çalışmalarda gösterilmiştir [9,11,14,17] …”

Section: Gi̇ri̇ş (Introduction)unclassified

“…Lamda iterasyon metodu ve Yapay Sinir Ağlarının (YSA) EYD problemlerinin çözümü için performansları karşılaştırılarak YSA'nın hesaplama süresi ve optimum çözüme yakınsama açısından daha avantajlı olduğu [16]'da gösterilmiştir. Benzer şekilde [17]'de metasezgisel metotlardan DGA, PSO ve Yapay Arı Kolonisi (YAK) algoritmalarının EYD problemlerinin çözümünde performansları karşılaştırılmış ve DGA'nın diğer optimizasyon metotlarına nazaran daha kısa sürede çözüme ulaştığı sonucuna varılmıştır. Grafiksel Kullanıcı Arayüzü (GKA) uygulamaları; programlama dili kullanımı ve kodlama gerektirmeksizin sistemler için bilgi girişi, simgeler, ikonlar ve diğer görsel grafikler yardımıyla sonuca ulaşılması açısından kullanıcıya büyük avantaj sağlamaktadır.…”

Section: Gi̇ri̇ş (Introduction)unclassified

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Metasezgisel Metotlar Kullanılarak Ekonomik Yük Dağıtımı Probleminin Çözümü: Grafiksel Kullanıcı Arayüzü Uygulaması

Eminoğlu¹,

Karahan²

2017

Journal of Polytechnic

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Politeknik Dergisi, 2017; 20 (4) : 827-835 Journal of Polytechnic, 2017; 20 (4) Solution of Economic Dispacth Problem Using Metaheuristic Methods: Graphical User Interface Aplication ABSTRACTThermal power plants play an important role in the electrical energy production. In case these plants work together, determining the optimum point of conditions has a great importance in cost of energy which is produced. Moreover, designing a Graphical User Interface (GUI) enables the results to be easily obtained by implementing the developed software. Accordingly, in this study, using Differential Evolution Algorithm (DEA) and Particle Swarm Optimization (PSO) method which has fact convergence ability and optimal solution reachability and called as metaheuristic methods, optimization algorithms and Interface developed/created for the solution of Economic Load Dispatch (ELD) problem are proposed. Firstly, the developed optimization algorithms are applied to the existing systems in the literature and their validity and superiority are proposed. And then, a package program which is created using C# program in order to utilize the developed algorithms to the systems by the user, easily, is introduced. Results suggest that the optimization algorithms developed by using PSO and especially DGA gives more advantageous results in terms of fuel cost, and the developed interface provides user a great convenience in terms of its application for solving such problems.

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Section: Gi̇ri̇ş (Introduction)unclassified

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Metasezgisel Metotlar Kullanılarak Ekonomik Yük Dağıtımı Probleminin Çözümü: Grafiksel Kullanıcı Arayüzü Uygulaması

Eminoğlu¹,

Karahan²

2017

Journal of Polytechnic

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“…Since an engineer is always concerned with the cost of products and services, the efficient optimum economic operation [4] and planning of electric power generation system have always occupied an important position in the electric power industry. With large interconnection of the electric networks, the energy crisis in the world and continuous rise in prices, it is very essential to reduce the running charges of the electric energy.…”

Section: Introductionmentioning

confidence: 99%

Solution of Economic Load Dispatch problem in Power System using Lambda Iteration and Back Propagation Neural Network Methods

Machavarapu¹,

Rao²,

Hanumaiah³

et al. 2016

ijeei

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Economic load dispatch is the process of allocating the required load demand between the available generators in power system while satisfying all units and system equality and inequality constraints. Economic Load Dispatch solutions are found by solving the conventional methods such as lambda iteration, Gradient search method, Linear Programming and Dynamic Programming while at the same minimizing fuel costs, but convergence is too slow, so in order to get fast convergence and accurate results we are using artificial neural network. Artificial neural network is well-known in the area of power systems. It is a very powerful solution algorithm because of its rapid convergence near the solution. This property is especially useful for power system applications because an initial guess near the solution is easily attained. In this paper a three generator system is considered and by using lambda iteration method Economic Load Dispatch is determined and 150 patterns for different loads will be derived from same method to train neural network. As it is too slow method, we proposed a soft computing based approach i.e. Back Propagation Neural Network (BPNN) for determining the optimal flow. This method provides fast and accurate results when compared with the conventional method.

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“…These include: improved system reliability in the power supply, increased efficiency, avoidance of transmission capacity upgrades, improved power quality and reduced transmission line losses and environmental benefits (excluding diesel reciprocating engines often used as back-up distributed generators which tend to be the worst performers in terms of greenhouse gas emissions [4]) [1].…”

Section: Introductionmentioning

confidence: 99%

Power Optimization and Prioritization in an Island Supplied by a Rotating Machine Based Distributed Generator Using Artificial Bee Colony Algorithm

Mogaka

Murage²,

Saulo

2016

IJEPE

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Abstract:Currently the greatest threat to the power systems reliability and security is the cascading of electric system failures thus causing power blackouts. For quite some time now, the world has been encountering many power blackouts as a result of these cascading failures. The cascading power failure instances pose great risks towards the integrity of power system network. This may finally lead to the splitting of the power system into various small unintentional islands. Hence, intentional or controlled islanding is then utilized as a preventive measure to mitigate the losses caused by unintentional islanding of the power system. Thus, by doing this, the entire power system is split into controlled island regions for the purposes of easy handling and control. In such situation, each islanded region should have sufficient generation to supply its connected loads in order to remain operative and stable. It should also be pointed out that intentional islanding is very important as it can prevent the entire power system from collapsing. The distributed generators supplying the loads in these islands may not be able to maintain the voltage and frequency within desired limits in the distribution system when it is islanded within the micro grid. There may be a power deficit within the island. This eventually leads to shedding of some loads within the island for the sake of stability of the system. Hence the main challenge here is to determine the appropriate and reliable method to optimize the power supply and the load demand in the island and thus maintain the voltage and frequency within the desired limit. In this study we focused on the determination of the minimum load amount for shedding within the islanded region and the prioritization of the buses for shedding so that electricity supply to customers could be maximized using ABC algorithm. From the results obtained, the ABC algorithm can be successfully applied for solving the optimization and prioritization problems within the island being supplied by a DG. The ABC algorithm has several merits over other algorithms which makes it suitable in this application. These advantages include; it is easily implemented, flexible, has few control parameters, easily hybridized with other optimization algorithms and can be modified very easily to suit any application. This system was simulated in MATLAB and SIMULINK using IEEE fourteen bus systems.

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Application of Soft Computing Methods for Economic Load Dispatch Problems

Cited by 3 publications

References 17 publications

Metasezgisel Metotlar Kullanılarak Ekonomik Yük Dağıtımı Probleminin Çözümü: Grafiksel Kullanıcı Arayüzü Uygulaması

Metasezgisel Metotlar Kullanılarak Ekonomik Yük Dağıtımı Probleminin Çözümü: Grafiksel Kullanıcı Arayüzü Uygulaması

Solution of Economic Load Dispatch problem in Power System using Lambda Iteration and Back Propagation Neural Network Methods

Power Optimization and Prioritization in an Island Supplied by a Rotating Machine Based Distributed Generator Using Artificial Bee Colony Algorithm

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