Resilient outage recovery of a distribution system: co-optimizing mobile power sources with network structure

Abstract

Outage recovery is important for reducing the economic cost and improving the reliability of a distribution system (DS) in extreme weather and with equipment faults. Previous studies have separately considered network reconfiguration (NR) and dispatching mobile power sources (MPS) to restore the outage load. However, NR cannot deal with the scenario of an electrical island, while dispatching MPS results in a long power outage. In this paper, a resilient outage recovery method based on co-optimizing MPS and NR is proposed, where the DS and traffic network (TN) are considered simultaneously. In the DS, the switch action cost and power losses are minimized, and the access points of MPSs are changed by carrying out the NR process. In the TN, an MPS dispatching model with the objective of minimizing power outage time, routing and power generation cost is developed to optimize the MPSs’ schedule. A solution algorithm based on iteration and relaxation methods is proposed to simplify the solving process and obtain the optimal recovery strategy. Finally, numerical case studies on the IEEE 33 and 119-bus systems validate the proposed resilient outage recovery method. It is shown that the access point of MPS can be changed by NR to decrease the power outage time and dispatching cost of MPS. The results also show that the system operation cost can be reduced by considering power losses in the objective function.

Hydrogen‐powered smart grid resilience

“…An overview of existing research on smart grid resilience and electricity-hydrogen systems is provided in this subsection. Current research on smart grid resilience focuses mainly on resilience assessment and improvement [29][30][31]. The existing resilience assessment methods are mainly divided into two categories, namely, qualitative and quantitative resilience assessment methods.…”

“…Current research on smart grid resilience focuses mainly on resilience assessment and improvement [29–31]. The existing resilience assessment methods are mainly divided into two categories, namely, qualitative and quantitative resilience assessment methods.…”

Optimal layout model of feeder automation equipment oriented to the type of fault detection and local action

“…Faults in a power system mainly occur in the distribution network, and these faults can seriously affect customer power consumption perception [1][2][3]. The use of feeder automation technology can reduce the negative impact of faults and improve the satisfaction of electricity consumers [4,5]. The main feature of feeder automation is that when permanent faults causing power outage on a distribution network, then if suitable distribution automation equipment is installed in a suitable location, the equipment can locate the faults from fault current information, and isolate the faults.…”

Optimal configuration of grid-side energy storage considering static security of power system

“…At present, domestic, and international research has focused on three aspects of energy storage equipment to improve the flexibility (Zhou et al, 2021;Zhang et al, 2022), operational stability (Mahmoud et al, 2022b), and security of power systems. Among them, the role of energy storage for power system security enhancement is discussed in three dimensions: topological vulnerability (Martinez-Rico et al, 2021), grid security power supply capacity (Li et al, 2022;Mahmoud et al, 2022a), and transient security (Wang et al, 2021), respectively. An integrated planning and operation method is proposed in (Martinez-Rico et al, 2021), which is for optimal allocation of energy storage based on the active network loss and voltage offset indicators.…”

“…In literature (Mahmoud et al, 2022a), based on Robust and optimized DVR controller, Harris Hawks optimization algorithm is used to enhance the voltage quality of low-voltage smart distribution. The literature (Li et al, 2022) proposes a new grid-connected wind power generation system based on an improved topology and controller, which considers both state-of-charge and energy storage configurations. And can effectively improve the overall efficiency of the power generation system and extend the lifespan of the energy storage batteries, improving the safe operation and power supply reliability of the grid system.…”