Wednesday, May 6, 2020

Comparison Of Heuristic Algorithms Of Renewable Energy...

Comparison of Heuristic Algorithms of Renewable Energy Resources for Loss Reduction in Distribution Network Abstract-This paper suggests four heuristic algorithms for optimal loss reduction of power distribution network equipped with renewable energy resources. These algorithms are Gravitational Search Algorithm (GSA), Bat Algorithm (BA), Imperialist Competitive Algorithm (ICA) and Flower Pollination Algorithm (FPA). Placing renewable energy resources such as wind turbine (WT) and photovoltaic panels (PV) in certain locations in the power network with special sizes might share in reducing the power loss , and consequently, improving the voltage profile. In the present research, the heuristic algorithms are utilized to find the optimal†¦show more content†¦O-PLF can be varied by simulation methods and analytical probabilistic methods. Monte Carlo Simulation (MCS) has been applied and introduced in [2,3,4]. The MCS method analyzed the optimal probabilistic load flow under the uncertainty of load in medium power systems. In [4] a technique combines Monte Carlo simulation techniques a nd multi-linearized power flow equations has been proposed, taken into account the natural behavior of power production for renewable generation. The proposed method in [4] has implemented providing accurate results but with a considerable time consumption. In order to decrease the operation time, the analytical probabilistic methods are anticipated. The main benefit of the analytical methods is to avoid the massive calculation time, and to ensure the simplicity to integrate more assumptions and complex mathematical techniques [5, 6]. Cumulants mechanism combined with the Gram-Charlier extension is offered to fix O-PLF in many manuscripts [7-9]. The unscented transformation (UT) method is applied in order to study the optimal probabilistic load flow analysis under the uncertainty of wind farms [5]. The modifications of Point Estimated Method (PEM) are utilized to solve O-PLF in power network equipped with wind turbines (WTs) and photovoltaic (PV) systems [12]. Also, 3-PEM is used for PV source with Electric Vehicles (EVs) application [13]. Meta-heuristic optimization techniques haveShow MoreRelatedHybrid Electric Vehicles ( Phevs )3014 Words   |  13 PagesAbstract-Increased the numbers of Plug-in Hybrid Electric Vehicles (PHEVs) can have a significant impact on distribution system performance, such as reduction in power quality and efficiency, increase in power losses and voltage variations, as well as an adverse impact on the customers’ energy price. This paper proposed approach evaluates the effect of integrating a large number of PHEV on power system operation as well as appropriate operation of PHEVs can improv e the voltage profile in the networkRead MoreEffective Inventory Control and Management: a Case Study of Ikea15878 Words   |  64 Pages Inventory control  can be explained as following ways also: ââ€" ª In economics, it can be elaborated as the  inventory control problem, that’s main objective is to decrease the overhead cost without declining the sales graph. ââ€" ª In the field of  loss prevention, systems designed to introduce technical barriers to  shoplifting 1.2 BACKGROUND OF THE ORGANIZATION IKEA  is a privately owned home products company in the international market that deals in designing and selling of  ready-to-assembleRead MoreProject Mgmt296381 Words   |  1186 Pagesto Text Topics Chapter 1 Modern Project Management Chapter 8 Scheduling resources and cost 1.2 Project defined 1.3 Project management defined 1.4 Projects and programs (.2) 2.1 The project life cycle (.2.3) App. G.1 The project manager App. G.7 Political and social environments F.1 Integration of project management processes [3.1] 6.5.2 Setting a schedule baseline [8.1.4] 6.5.3.1 Setting a resource schedule 6.5.2.4 Resource leveling 7.2 Setting a cost and time baseline schedule (1.3.5) [8.1.3] 6Read MoreContemporary Issues in Management Accounting211377 Words   |  846 Pagesthe Warwick Business School, University of Warwick. He received his Ph.D. from the London School of Economics in 1996. His research is broadly concerned with accounting, control, and organizational process. He has also written on international comparisons and field research in accounting and is currently exploring the application of practice theory to management accounting research. Jane Baxter, Ph.D. FCPA, is Associate Professor in the Discipline of Accounting within the University of Sydney, Austra lia

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