Transmission-service pricing by incorporating load following and correlation factors within a restructured environment

被引:4
作者
Shivaie, Mojtaba [1 ]
Kiani-Moghaddam, Mohammad [2 ]
Ansari, Meisam [2 ]
机构
[1] Shahrood Univ Technol, Fac Elect Engn & Robot, Shahrood 3619995161, Iran
[2] Shahid Beheshti Univ, Dept Elect Engn, Tehran, Iran
关键词
Correlation factor; Linear regression factor; Load following; Network transmission pricing; STRATEGIC GENERATION; COST ALLOCATION; SYSTEM; MARKETS; RESPONSES; CONTRACT; CHARGES; SCHEME;
D O I
10.1016/j.epsr.2018.01.026
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper reports a new method for network transmission pricing technique which is based on load following and correlation factors in restructured environments. Considering new environments, transmission pricing analysis has become a challenging task because transmission network has a high constant cost and virtually no variable costs. As a result, literature pertaining to this subject proposes different methods that aim at considering equitable pricing in a competitive environment. This paper discusses their advantages and disadvantages. Therefore, a load following-based method which uses correlation factors for estimating transmission costs of each participant before entering the market is introduced. In previously proposed methods, only linear regression was used to estimate transmission costs. In this paper, however, the importance of using a combination of the linear regression and correlation factors is highlighted. A factor of partnership can be obtained that better describes the shares in transmission costs. Finally, the factor of partnership is calculated for a network with 39-IEEE bus system and a real-world system of northeastern part of Iranian national 400-kV transmission grid. Simulation results show the proposed method performs better than other methods. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:538 / 546
页数:9
相关论文
共 31 条
[11]   Power flow tracing based transmission congestion pricing in deregulated power markets [J].
Chellam, S. ;
Kalyani, S. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 83 :570-584
[12]   Transmission network price setting model for the promotion of liberalized market for the power industry in Taiwan [J].
Chen, Po-Han ;
Tsay, Ing-Sheng .
ENERGY POLICY, 2017, 104 :100-111
[13]   Can generalized distribution factors lead to "objective" transmission toll allocations? Some lessons from the recent Chilean experience [J].
Galetovic, Alexander ;
Palma-Behnke, Rodrigo .
ENERGY ECONOMICS, 2008, 30 (02) :249-270
[14]   Computer-Assisted Interactive Learning for Teaching Transmission Pricing Methodologies [J].
Georgilakis, Pavlos S. ;
Orfanos, George A. ;
Hatziargyriou, Nikos D. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (04) :1972-1980
[15]  
Hassan MY, 2011, INT J INTEGR ENG, V3, P39
[16]   Strategic generation with conjectured transmission price responses in a mixed transmission pricing system - Part II: Application [J].
Hobbs, BF ;
Rijkers, FAM ;
Wals, AF .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (02) :872-879
[17]   Strategic generation with conjectured transmission price responses in a mixed transmission pricing system - Part 1: Formulation [J].
Hobbs, BF ;
Rijkers, FAM .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (02) :707-717
[18]   Real-time control of power systems using nodal prices [J].
Jokic, A. ;
Lazar, M. ;
van den Bosch, P. P. J. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2009, 31 (09) :522-530
[19]  
Kirby C., 2000, IEEE POW ENG SOC WIN, P23
[20]   Comparison of transmission pricing models [J].
Kristiansen, Tarjei .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2011, 33 (04) :947-953