Transmission Loss Allocation Based on Power Adjacency Matrix in Pool Electricity Markets

被引:4
作者
Enshaee, Ali [1 ]
Enshaee, Parisa [2 ]
机构
[1] Isfahan Univ Technol, Dept Elect & Comp Engn, Isteklal Sq,Univ St, Esfahan 8415683111, Iran
[2] Payame Noor Univ, Coll Engn, Dept Elect Engn, Ashrafi Esfahani Blvd,Nabavi Manesh St, Esfahan 81395671, Iran
关键词
Loss allocation; Power adjacency matrix; Power flow tracing; Transmission system; ARTIFICIAL NEURAL-NETWORK; GAME-THEORY; COST ALLOCATION; COMPLEX POWER; GRAPH-THEORY; REAL POWER; Z-BUS; FLOW; SYSTEMS;
D O I
10.1061/(ASCE)EY.1943-7897.0000403
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In a deregulated electric power system, it is important to distribute transmission losses between market participants fairly. This paper presents an effective method for active loss allocation by tracing power flow. In this method, after obtaining the alternating current (AC) load flow results of the system, it is first converted to a system in which the power flow is constant along each branch. A new matrix (i.e.,power adjacency matrix) is then constructed for the system. The matrix is decoupled, and matrix operations are carried out using the submatrices to derive three other matrices. The contributions of the generators and loads of the main system to active losses of its branches and the shares of the generators in active power consumption of the loads are specified using these matrices. The proposed method is implemented on a four-bus system and several standard test systems. The results show that the method can be applied to any transmission system, and the loss allocation results are preferable to that of previous methods.
引用
收藏
页数:9
相关论文
共 37 条
[1]   Transmission loss allocation in a deregulated electrical energy market [J].
Abdelkader, S. .
ELECTRIC POWER SYSTEMS RESEARCH, 2006, 76 (11) :962-967
[2]   Transmission loss allocation through complex power flow tracing [J].
Abdelkader, Sobhy M. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (04) :2240-2248
[3]   Optimization approach to real power tracing: An application to transmission fixed cost allocation [J].
Abhyankar, A. R. ;
Soman, S. A. ;
Khaparde, S. A. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (03) :1350-1361
[4]  
[Anonymous], MATLAB VERS 8 5 COMP
[5]   Transmission loss allocation based on optimal power flow and sensitivity analysis [J].
Belati, E. A. ;
da Costa, G. R. M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2008, 30 (04) :291-295
[6]   Tracing the flow of electricity [J].
Bialek, J .
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1996, 143 (04) :313-320
[7]   Transmission loss evaluation in an open electricity market using an incremental method [J].
Cheung, J. N. Y. ;
Czaszejko, T. ;
Morton, A. B. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2007, 1 (01) :189-196
[8]   Artificial intelligence solution to transmission loss allocation problem [J].
Choudhury, N. B. Dev ;
Goswami, S. K. .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (04) :3757-3764
[9]   Transmission loss allocation in a power market using artificial neural network [J].
Choudhury, Nalin B. Dev ;
De, Mala ;
Goswami, Swapan K. .
ELECTRICAL ENGINEERING, 2013, 95 (02) :87-98
[10]   Transmission loss allocation using combined game theory and artificial neural network [J].
Choudhury, Nalin B. Dev ;
Goswami, Swapan K. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 43 (01) :554-561