Resilience Promotion Strategy for Distribution Network Considering Source-Network-Load-Storage Coordination

doi:10.12204/j.issn.1000-7229.2023.04.008

Abstract

Abstract:

With the large-scale access of distributed power generation, the traditional fault-recovery strategy for distribution network is difficult to be applied to large-scale blackouts caused by extreme disasters. Firstly, this paper proposes a strategic framework to optimize and improve the resilience of distribution network considering the coordination of source, network, load and storage under extreme disasters. Secondly, aiming at the uncontrollability and time variability of distributed energy output, the PV-storage and wind-storage (PWS) system models are established. At the same time, considering the relationship between electricity price demand response (DR) and load demand, a load demand response (LDR) model under extreme disasters is established. Thirdly, aiming at maximizing the total value of load recovery, considering the cost of network loss in the process of LDR compensation, fault repair and network reconstruction, a resilience promotion model for distribution network considering the source-network-load-storage collaborative optimization is established. Finally, the effectiveness of the proposed method is verified in an improved PG &E 69-node distribution network system. The results show that the source-network-load-storage cooperative optimization according to the characteristics of multi-energy complementation is beneficial to improve the fault recovery ability of the distribution network.

Key words: distribution network, resilience, demand response (DR), PV-storage and wind-storage (PWS), network reconstruction

CLC Number:

TM712

FAN Xinyu, HUANG Yuan, WU Jiang, SUN Zengjie, NING Jingbo. Resilience Promotion Strategy for Distribution Network Considering Source-Network-Load-Storage Coordination[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(4): 63-73.

Figures/Tables 13

Fig.1 Flowchart of the resilience enhancement strategy distribution network considering source-network-load-storage coordination

Fig.2 Diagram of power system response before and after extreme disasters

Table 1 Price based demand-response level

Fig.3 PG&E 69-node distribution network system

Table 2 Load characteristic of each node

Table 3 Parameters of PWS

Fig.4 Curve of PV、WT output and load power

Fig.5 Price curve of power purchase from grid

Fig.6 The topology in each fault period

Fig.7 Load demand in each period

Fig.8 Charge/discharge power and SOC of ESS

Table 4 Comparison of different resilience promotion strategies

Fig.9 Per unit value of node voltages in each fault period

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