Bi-level Programming Model of Energy Storage Power Station Considering Transfer Capability of High Voltage Distribution Network

doi:10.12204/j.issn.1000-7229.2021.01.010

Abstract

Abstract:

With the acceleration of urbanization, the current urban power grid is faced with increasingly serious problem of operation block. The traditional control mode using load transfer for blocking control is less flexible, and the single control mode is not adaptive. According to characteristics of space-time distribution of transferrable load by energy storage, and considering the influence of operation strategy on the planning scheme, a two-layer planning model of energy-storage power station is proposed, which takes into account the transmission capacity of high-voltage distribution network (HVDN). The upper layer builds energy-storage planning model of investment income, and the lower layer builds more scenarios by giving priority to topology reconstruction, while energy-storage operation optimization model as complementary. Due to the mutual influence between operation control and planning configuration, the inner and outer layers of different time scales are optimized in the same frame. The cutting loads of the system nodes, the location, capacity and power of the energy-storage power station are used as the coupling variables to alternate iteration. The particle swarm optimization algorithm and CPLEX solver are used to alternate for solution. Finally, an example is given to demonstrate the effectiveness of the proposed model and the feasibility of the solution method.

Key words: high-voltage distribution network(HVDN), energy-storage power station, bi-level programming, transformer unit, load transfer

CLC Number:

TM715

CHEN Gang, HUANG Yang, DING Lijie, LIU Weiheng, WEI Wei, ZENG Yu, LIU Youbo. Bi-level Programming Model of Energy Storage Power Station Considering Transfer Capability of High Voltage Distribution Network[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(1): 85-95.

Figures/Tables 16

Fig.1 Basic substation unit

Fig.2 Topology of 110 kV network

Table 1 Performance parameters of sodium sulfur batteries

Table 2 Configuration scheme of the energy-storage power Station

Fig.3 Flow chart of the two-layer optimization

Fig.4 Grid structure of a city

Fig.5 Typical load characteristic curve

Fig.6 Configuration costs and benefits of energy-storage power station under different scenarios

Table 3 Costs and benefits of the energy-storage power station under different scenarios

Fig.7 Comparison of different blocking schemes

Table 4 Comparison of forwarding results of different blocking schemes

Fig.8 Real-time charging and discharging power of the energy storage station

Fig.9 SOC of the energy-storage station

Fig.10 Average load rate of the 220 kV line under different configuration schemes

Fig.11 Switching times of the switch under different configuration schemes

Fig.12 Load reduction under different configuration schemes

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