scholarly journals Comparison of Several Transmission Loss Allocation Procedures

2010 ◽  
Vol 44 (3) ◽  
pp. 289-296
Author(s):  
Mohammed Humayun Kabir

Transmission-loss is an inherent nature of power system. Determination of transmission losses for the purposes of billing in various interconnected trans-actions is an important issue to be solved exactly. Loss allocation is a procedure for subdividing the system transmission losses into fractions, the cost of which becomes the responsibility of network users. This paper focuses on transmission loss allocation procedures and provides a detailed comparison of some alternative algorithms: viz. 1) Incremental loss allocation, 2) A proportional allocation, 3) Preliminary loss allocation and 4) A direct methodology for loss allocation. A case study based on a 6-bus model power system has been provided. Finally conclusions and recommendations have been stated. Key words: Transmission loss allocation, DC optimal power flow, Deregulated power market, Loss coefficient matrix, Non-volatile procedure. DOI: 10.3329/bjsir.v44i3.4401 Bangladesh J. Sci. Ind. Res. 44(3),289-296, 2009

Author(s):  
Prakash Kumar Hota ◽  
Atulya Prasad Naik

This paper presents a new method for transmission loss allocation in a deregulated power system. As the power loss is a nonlinear quantity, so to allocate the loss in a common transmission corrider is a difficult task. It allocates transmission losses to loads based on the actual power flow in the lossy lines due to the concerned load. Each lossy line is subdivided into as many sub-lines as corresponding to the numbers of load attached to it. The tracing of power flow through each sub-line is worked out by using proportional sharing method. The power loss in each lossy line is equal with the total loss due to all the sub-lines under it. Then by using Pro-rata for each lossy line, the individual loss for each sub-line is formulated. As the application of Pro-rata is limited to an individual line of the system, so the error in calculation is minimized. The total loss allocated to a particular load is the sum of losses occurred in each lossy lines through which the power is flowing to the concerned load. As this method is based on the actual flow of power in the transmission line corresponding to the concerned load, hence, the loss allocation made by the method gives proper and justifiable allocations to the different loads which are attached to the system.<strong> </strong>The proposed method is applied to a six-bus system and finds the mismatch in the commonly used methods. Then, it is applied to higher bus systems in which more accurate results are obtained compared to the other methods.


1970 ◽  
Vol 42 (3) ◽  
pp. 249-256
Author(s):  
MH Kabir

Deregulation of power industry has made us think over the transmission loss allocation to network users and to various interconnected transactions including bilateral one. It is an important issue to be solved exactly. Because of the non-linear nature of power flow and power loss, it is very difficult to segregate and to allocate losses among the participants properly. This paper presents an instantaneous loss allocation algorithm including DC-Optimal Power Flow. Using Incremental Transmission Loss (ITLs) factors and the power outputs of generators, we have calculated preliminary loss to each generator. Calculating loss allocation rates from the preliminary losses, the final loss allocation has been done (according to loss allocation rate) to meet the total loss calculated by DC-OPF. The effectiveness of this procedure has been studied for a small model power system and also for the IEEE-118-bus system. Keywords: Transmission loss allocation, DC optimal power flow, Deregulated power market, Bilateral transactions. Bangladesh J. Sci. Ind. Res. 42(3), 249-256, 2007


The main objective of the power system is to deliver electric energy to its loads economically and efficiently in a safe and reliable manner. Due to the complicated structure of the present power system network and competitive environment introduced by deregulation, optimal power flow (OPF) and optimal reactive power flow (ORPD) provide efficient exploitation of existing power generations. This chapter describes the detail problem formulation of OPF and ORPD problems. In this study, three different single objectives, namely fuel cost minimization, voltage profile improvement, and transmission loss minimization, are considered. Moreover, in order to judge the effectiveness of the proposed methods for multi-objective scenario, two bi-objectives, namely simultaneous minimization of fuel cost and voltage deviation; simultaneous minimization of fuel cost and transmission loss; and one tri-objective function, namely simultaneous minimization of fuel cost with voltage deviation and loss, are considered.


Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2270 ◽  
Author(s):  
Sirote Khunkitti ◽  
Apirat Siritaratiwat ◽  
Suttichai Premrudeepreechacharn ◽  
Rongrit Chatthaworn ◽  
Neville Watson

In this paper, a hybrid optimization algorithm is proposed to solve multiobjective optimal power flow problems (MO-OPF) in a power system. The hybrid algorithm, named DA-PSO, combines the frameworks of the dragonfly algorithm (DA) and particle swarm optimization (PSO) to find the optimized solutions for the power system. The hybrid algorithm adopts the exploration and exploitation phases of the DA and PSO algorithms, respectively, and was implemented to solve the MO-OPF problem. The objective functions of the OPF were minimization of fuel cost, emissions, and transmission losses. The standard IEEE 30-bus and 57-bus systems were employed to investigate the performance of the proposed algorithm. The simulation results were compared with those in the literature to show the superiority of the proposed algorithm over several other algorithms; however, the time computation of DA-PSO is slower than DA and PSO due to the sequential computation of DA and PSO.


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