Resilience assessment for natural gas systems and electrical power systems without complete integration

Abstract

Considering the limited information sharing between natural gas systems (NGS) and electrical power systems (EPS), this paper proposes a distributed resilience assessment method for NGS and EPS. First, a coordinated restoration framework is presented for incompletely integrated energy systems, and the collaborative benefit redistribution mechanism is proposed to motivate the participation of the cooperative restoration. Then fragility and recovery models for NGS and EPS components are developed, involving the impact of wind and rainfall during typhoons. An emergency load shedding model considering the conditional value at risk under typhoons is built, where the dynamic constraints of gas storage in NGS's pipelines is considered, and a linear approximation method is adopted to make the solution feasible. The modified alternating direction method of multipliers algorithm is used to solve the problem, and herein the self-adaptive penalty factor is leveraged to boost the efficiency. Based on the valley-shaped resilience model, the concept of skewness and kurtosis are introduced to give risk-adverse metrics more systematically to the impact of extreme events. The proposed model and algorithm are validated by case studies. Except for the performance exploration, the weakness and enhancement suggestions are also concluded from the case analysis.

Operational resilience metrics for power systems with penetration of renewable resources

“…The individual-machine equal area criterion (IMEAC) [26] is the principle to assess the stability of critical machines. The previous motion equations are modified to (9).…”

“…This can pose a significant challenge for power systems with high levels of renewable energy, as they may have low inertia and may struggle to maintain stability during major disturbances. To address this concern, resilience metrics for power systems are needed to evaluate the system's ability to prevent, withstand, adapt to, and quickly recover from disruptive events [8][9][10][11]. Conventionally, evaluation models for power system are constructed to evaluate the unbalanced and unstable operation status in transient and steady states separately [12][13][14][15], and strategies are proposed to mitigate operational state in post-event period [16][17][18][19][20][21][22].…”

“…In current research works, the related model set-up and metric construction for the evaluation are mainly focusing on single period, which is not applicable to estimate the whole event process. The authors in [8][9][10] proposed a resilient philosophy consisting of state awareness metrics that indicate the changing conditions. Although the developed agents have addressed boundary conditions, they merely use data and time measurements to recognize the disturbance occurred in power systems, but have not addressed possible response.…”

A resilience‐motivated restoration scheme for integrated electricity and natural gas distribution systems using adaptable microgrid formation

“…In today's modern world, energy infrastructures are getting more interdependent to ensure a clean, efficient, and sustainable energy supply for end users [7][8][9][10][11][12]. The increasing usage of gas-fired distributed generators (DGs), gas compressors, and power-to-gas (P2G) units has increased the complexity of integrated electricity and gas distribution systems (IEGDS).…”

Coordinated Post-Disaster Recovery and Assessment Method for Integrated Electricity-Gas-Transportation System

“…In the IES that includes multiple energy operators, due to the differences in the interests' privacy, information barriers and technologies, the processing method of collecting all the information of the system in terms of operation and emergency repair does not meet the actual application situation. At present, the alternating direction method of multipliers (ADMM) is widely used to solve the problems of energy flow analysis [21], economic dispatch [22], operation optimization [23], stability control [24], resilience assessment [25], risk management [26], etc. The ADMM algorithm can effectively consider the impact of different stakeholders in the multi-energy system and meet the privacy protection requirements of the system's practical application.…”