Electric Power ›› 2020, Vol. 53 ›› Issue (3): 66-75.DOI: 10.11930/j.issn.1004-9649.201908030

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Evaluation and Optimization of Power Network Planning Scheme Based on Total-Cost Price

HE Kai1, WANG Jianxiao1, WANG Jiawei2, LI Qiang2, WANG Yao2, XING Yahong2, ZHONG Haiwang1   

  1. 1. State Key Lab of Control and Simulation of Power Systems and Generation Equipment(Dept. of Electrical Engineering, Tsinghua University), Beijing 100084, China;
    2. Economic and Technical Research Institute of State Grid Shanxi Electric Power Company, Taiyuan 030002, China
  • Received:2019-08-02 Revised:2019-11-28 Published:2020-03-10
  • Supported by:
    This work is supported by the National Natural Science Foundation of China (No.51537005), Science and Technology Project of State Grid Corporation of China (Key Technology and Application for Overall-Cost-Based Power System Planning in Electricity Markets, No.5205331800001)

Abstract: In view of the actual challenges and urgent needs faced by power grid enterprises, a total-cost price model is proposed with consideration construction cost and operation maintenance cost, in which the power flow tracing method and stamp method is used respectively to allocate the power grid construction cost and operation maintenance cost based on the conventional nodal pricing mechanism. Furthermore, an evaluation process for power grid planning scheme is proposed based on the total-cost price model, which takes both security and economy into account, and the IEEE 14 and IEEE 33 bus systems are used to validate the effectiveness of the proposed evaluation method. The numerical simulation results show that the proposed total-cost price model can not only evaluate the power line planning schemes of different voltage classes, but also optimize the investment portfolio of different distribution networks. The research results can provide a quantitative analysis method and decision-making support tool for power grid enterprises to plan power grid investment in the context of new electric power reform.

Key words: locational marginal price, power flow tracing method, total-cost price, power network planning, scheme evaluation