Two-Level Expansion Planning Model of Transmission Network Considering Transmission Congestion Surplus

doi:10.12204/j.issn.1000-7229.2021.04.013

Abstract

Abstract:

Establishment of electricity market separates the links among generation, transmission, distribution and sales. The grid planning will face many uncertain market factors. The transmission grid planning in the electricity market faces more difficulties and challenges than the traditional transmission grid planning. This paper proposes a two-layer optimal configuration model of a transmission system that considers electricity trading signals. The upper model mainly considers the investment cost of investors, while the lower model considers the mathematical model of the node's marginal electricity price under line congestion, uses the transmission congestion surplus as the objective function, and uses the locational marginal electricity price to guide the transmission system expansion planning. Aiming at the shortcoming of the slow convergence speed of the dynamic differential evolution algorithm, this paper combines the advantages of different updating strategies and proposes an improved dynamic differential evolution algorithm to solve the transmission network planning model. Finally, taking a 500/220 kV transmission network in western China as an example, simulation results verify the effectiveness and feasibility of the model and algorithm.

Key words: congestion surplus, electricity market, electricity trading, locational marginal power price, dynamic differential evolution algorithm

CLC Number:

TM73

XU Weiting, YANG Yuxuan, ZHOU Xiaoyan, LIU Xuna, CHEN Yiming, LIU Youbo. Two-Level Expansion Planning Model of Transmission Network Considering Transmission Congestion Surplus[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(4): 113-120.

Figures/Tables 11

Fig.1 Topology of a 500/220 kV grid in western China

Table 1 Related parameters of the generators

Table 2 Related parameters of the loads

Table 3 Related parameters of the transmission lines

Table 4 Parameter values of model and IDDE algorithm

Table 5 Optimal allocation results of transmission lines

Fig.2 Planning results of transmission lines

Fig.3 LMP of area grid in planning

Table 6 Optimal allocation results of transmission lines in further

Table 7 Optimal results of transmission lines under different investment budget

Fig.4 Comparison for IDDE and IPSO algorithms

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