Transmission Expansion Planning Model Based on Effective Transmission Cost

被引:0
|
作者
Chen D. [1 ]
Zhong H. [2 ]
Xia Q. [2 ]
Yang Z. [3 ]
机构
[1] State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Haidian District, Beijing
[2] State Key Lab of Control and Simulation of Power Systems and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing
[3] School of Electrical Engineering, Chongqing University, Shapingba District, Chongqing
基金
中国国家自然科学基金;
关键词
Effective transmission cost; Incentive-compatible; Optimal allocation of resources; Transmission expansion planning;
D O I
10.13334/j.0258-8013.pcsee.190088
中图分类号
学科分类号
摘要
The transmission expansion optimization planning is the foundation of the safety and economic operation of power system. When doing transmission expansion planning, fixed rate-of-return will lead to Averch-Johnson (A-J) effect which will give an impulse for transmission facility owners to over-invest and will not conductive to optimal allocation of resources. To this end, a mechanism of the effective transmission cost recovery based on the structural transmission cost identification was designed and a transmission expansion model was also proposed in this paper. The usage of line in normal and contingency conditions were considered in the proposed method to determine the rate-of-return for every line. The mechanism reflects the principle of incentive-compatible. A new transmission expansion model based on this mechanism was proposed and an iterative algorithm was presented in this paper. Based on the data of the Garver’s 6-bus system, the numerical experiment results shows that the mechanism and the model proposed in this model can give the rate-of-return to every transmission line in a fair way according to the usage of the line. Furthermore, the proposed method can avoid A-J effect, guide the investment and realize the goal of optimal allocation of resources. © 2020 Chin. Soc. for Elec. Eng.
引用
收藏
页码:30 / 38
页数:8
相关论文
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