Wildfire smoke and other particulate matter can substantially inhibit solar photovoltaic (PV) generation production. While PV facilities may not be located in areas with a high fire risk, from wildfires travel hundreds of kilometers impacting large number facilities. This paper proposes geospatial wildfire capacity model to quantify the anticipated temporal reduction due smoke. A case study using data for two time periods 2020 California real utility scale evidences model's accuracy. Results...

As the climate changes, wildfires pose a growing threat to infrastructure. Wildfires can adversely impact reliability across wide range of infrastructure sectors: heat directly damage electricity distribution network and communication equipment; smoke disrupt transport solar power production; ash contaminate water supplies. While some regions world have extensive experience with wildfire driven outages, changes in land use mean that owners around are now facing these challenges, including...

Rising electric vehicle (EV) adoption is introducing new challenges to the operation and planning of grid. Currently power system planners perform analysis ensure adequate levels reliability following contingencies such as loss a substation. However, existing standards do not explicitly mandate studies redistribution EV charging demand that would take place in case extreme events. Planning serve from EVs during events paramount resiliency This paper presents novel framework for reflect...

Climate change has led to more frequent and severe extreme weather events, which impact critical infrastructure networks such as railway power systems. Although are interdependent, the analysis understand of events on systems is usually performed in sector-specific silos. A methodology examine how same affect different sectors presented, order cross-sectoral for interconnected regional infrastructure. Fragility modelling was used temperature rainfall rail system failures using West Midlands...

Electric vehicle growth is creating a larger share of mobile load in power systems. This can affect system stress potentially constrained areas the grid, during period that may already be an emergency. paper proposes novel model to reflect behavior and spatiotemporal charging demand electric vehicles natural disaster evacuation. The integrates algorithmic approach enabling operators anticipate grid impacts from wildfire subsequent Geospatial visualization evacuation provides means enhance...

Abstract Extreme weather events can cause significant damage to power distribution network infrastructure, often resulting in outages. Distribution Network Operators (DNOs) are faced with the challenging task of responding these outages real time while maintaining a resilient grid. Our paper presents an innovative approach alert operators about potential risk associated upcoming extreme through normalized fragility curve. The uniqueness curve is ability capture regional differences across...

The use of Remedial Action Scheme(s) (RAS) is an economic means to facilitate the interconnection renewable generation while supporting reliable operation transmission system. With increasing prevalence RAS on system, automatic modeling imperative in order accurately capture potential impacts and interaction between these schemes. Within Western United States, Electricity Coordinating Council (WECC) has been facilitating implementation power flow simulation via incorporation models into...

Selection of the most appropriate forecast model should be governed by underlying data. This paper investigates impact benchmark selection, recency effect and synthetic weather station selection techniques on load performance presents a new weighted average based approach to generate station. Lessons learned from this effort include criticality using models, need for additional public datasets, value forecasting competitions learning development. The results case study validate that addition...

As the installation of solar-photovoltaic and wind-generation systems continue to grow, location must be strategically selected maintain a reliable grid. However, such strategies are commonly subject system adequacy constraints, while security constraints (e.g., frequency stability, voltage limits) vaguely explored. This may lead inaccuracies in optimal placement renewables, thus maximum benefits not achieved. In this context, paper proposes an optimization-based mathematical framework...

The paper introduces a comprehensive framework designed to determine the optimal siting, sizing, and scheduling for distributed energy resources within context of microgrid, particularly in response transmission network disruptions caused by influence severe weather events. proposed methodology uses Voronoi polygons approximate primary substations' service areas, vulnerability assessment followed risk is performed identify areas with high an outage. climate ensemble models are used generate...

As power networks around the world undergo profound transformation driven by decarbonization of electricity, integration renewable energy resources and low carbon technologies, more active network participation at grid edge, distribution operators have encountered continue to face various challenges. Both industry academia are actively involved in addressing these challenges, with a common focus on ensuring operational efficiency reliability electricity network. This Perspective article...

Abstract As weather dependence of the electricity network grows, there is an increasing need to predict time at which peak load will occur. Improving forecasts hour can lead more accurate scheduling generation as well ability use flexibility improve system utilisation or defer capital investment. While are extensive benchmark models for forecasting demand, their efficacy shape remains be seen. Global competitions provide a unique opportunity compare multiple methodologies under common...

To address deficiencies on the distribution system, more utilities are evaluating "non-wires alternatives" (NWA) to traditional upgrades. Whereas upgrades only require knowledge of deficiency magnitude, NWA determination additional attributes including duration, energy, and frequency deficiency. This paper proposes a novel methodology facilitate risk informed procurement using weather need attributes. The proposed uses historical load corresponding data create sensitive hourly demand model....

Localised data aggregation in many countries including Great Britain (GB) is typically done to a geographical level with polygon boundaries that have robust and trusted governance system place. At minimum this will mean there confidence process create set of polygons unique identifiers coupled areas, the ability these updated through defined code practice. Examples found across are delivery post, such as postcodes zip codes, definition census areas municipal boundaries. The allows different...

This paper investigates the impact of temperature on electric vehicle (EV) hosting capacity distribution networks. As countries decarbonize transportation, EVs have been widely adopted as a sustainable mode transportation. However, one challenges EV rollout is constraints network. One overlooked aspect variation charging under different temperatures. proposes methodology to embed consideration in assessment. The proposed validated using real-world data from Electric Nation project UK...

Weather is an essential source of data for forecasting electricity demand, with the most suitable weather stations varying across regions. The access to reliable gridded at high spatial resolution worldwide growing, providing a steady stream more granular which forecast. However, existing virtual-weather station methods have only accounted point based and do not leverage big available from geospatial forecasts. Strategic use can potentially bring significant improvements forecast accuracy....