INCREASING THE RESILIENCE of critical power infrastructures to high-impact, low-probability events, such as extreme weather phenomena driven by climate change, is key importance for keeping the lights on. However, what does resilience really mean? Should we build a stronger and bigger grid or smarter one? This article discusses conceptual framework system resilience, its features, potential enhancement measures.

Resilience to high impact low probability events is becoming of growing concern, for instance address the impacts extreme weather on critical infrastructures worldwide. However, there is, as yet, no clear methodology or set metrics quantify resilience in context power systems and terms both operational infrastructure integrity. In this paper, “trapezoid” therefore introduced which extends “triangle” that traditionally used existing studies, order consider different phases a system may...

Electrical power systems have been traditionally designed to be reliable during normal conditions and abnormal but foreseeable contingencies. However, withstanding unexpected less frequent severe situations still remains a significant challenge. As critical infrastructure in the face of climate change, are more expected resilient high-impact low-probability events determined by extreme weather phenomena. resilience is an emerging concept, and, as such, it has not yet adequately explored...

Historical electrical disturbances highlight the impact of extreme weather on power system resilience. Even though occurrence such events is rare, severity their potential calls for developing suitable resilience assessment techniques to capture impacts and assessing relevant strategies mitigate them. This paper aims provide fundamentals insights modeling quantification systems Specifically, a fragility model individual components then whole transmission built mapping real-time severe...

Power-to-gas (P2G) is the process whereby electricity used to produce hydrogen or synthetic natural gas. The for P2G could, instance, come from renewable energy which would otherwise be curtailed due system line constraints. existing gas network could then potentially as a means store, transport, and reutilize this energy, thus preventing its waste. While there are several ongoing discussions on in different countries, these generally not backed by quantitative studies potential implications...

Power systems have typically been designed to be reliable expected, low-impact high-frequency outages. In contrast, extreme events, driven for instance by weather and natural disasters, happen with low-probability, but can a high impact. The need power systems, possibly the most critical infrastructures in world, become resilient such events is becoming compelling. However, there still little clarity as this relatively new concept. On these premises, paper provides an introduction...

This paper presents a comprehensive and general optimization-based home energy management controller, incorporating several classes of domestic appliances including deferrable, curtailable, thermal, critical ones. The operations the are controlled in response to dynamic price signals reduce consumer's electricity bill whilst minimizing daily volume curtailed energy, therefore considering user's comfort level. To avoid shifting large portion consumer demand toward least intervals, which could...

Several catastrophic experiences of extreme weather events show that boosting the power grid resilience is becoming increasingly critical. This paper discusses a unified evaluation and operational enhancement approach, which includes procedure for assessing impact severe on systems novel risk-based defensive islanding algorithm. adaptive algorithm aims to mitigate cascading effects may occur during emergencies. goes beyond infrastructure-based measures are traditionally used as defense...

In power systems with more and variable renewable sources, gas generation is playing an increasingly prominent role in providing short-term flexibility to meet net-load requirements. The provided by the turbines turn relies on of network. While there are several discussions ability network this operational flexibility, has not been clearly modeled or quantified. addition, may also be responsible for supplying heating technologies, low-carbon scenarios see a tighter interaction between...

Smart districts can provide flexibility from emerging distributed multi-energy technologies, thus bringing benefits to the district and wider energy system. However, due nonlinearity modeling complexity, constraints associated with internal network (e.g., electricity, heat, gas) operational uncertainties (for example, in demand) are often overlooked. For this purpose, a robust optimization framework for smart devices integrated networks is proposed. The based on two-stage iterative that...

There is increasing interest in multi-energy communities, which could become important sources of demand response flexibility, especially when equipped with storage. Their location on distribution networks mean their exploitation to solve local capacity congestions may be particularly valuable, whilst ability partake energy/reserve markets can improve business cases. However, maximizing this flexibility potential by providing multiple services that are subject uncertain calls a challenging...

The power‐to‐gas (P2G) process, whereby excess renewable electrical energy is used to form hydrogen and/or synthetic natural gas (NG) that are injected, transported, and stored in the network, has prospect become an important flexibility option for seasonal storage of low‐carbon electricity. This study first model assess potential P2G when combined with operation accounting two networks’ characteristics constraints (including amount can be blended NG under different network conditions)....

Active distribution system management (ADSM) aims at optimally operating network assets with a high penetration of distributed energy resources (DERs) while taking into account operational uncertainties, market constraints, and scheduled power flows the interface transmission system. A novel framework for ADSM, which incorporates dual-horizon rolling scheduling model based on dynamic ac optimal flow, is proposed in this paper. In first stage (planning), import/export committed given times...

This paper presents a two-stage stochastic programming model for provision of flexible demand response (DR) based on thermal energy storage in the form hot water and/or building material. Aggregated residential electro-thermal technologies (ETTs), such as electric heat pumps and (micro-) combined power, are modeled unified nontechnology specific way. Day-ahead optimization is carried out considering uncertainty outdoor temperature, electricity consumption, dwelling occupancy, imbalance...