[go: up one dir, main page]

Kelly-Gorham et al., 2020 - Google Patents

Using utility outage statistics to quantify improvements in bulk power system resilience

Kelly-Gorham et al., 2020

View PDF
Document ID
4096905221125075478
Author
Kelly-Gorham M
Hines P
Zhou K
Dobson I
Publication year
Publication venue
Electric Power Systems Research

External Links

Snippet

CRISP is a new high-level statistical approach driven by utility data to quantify resilience in electric power transmission networks. We extend CRISP to model energy storage, photovoltaics, and generator outages, to account for the spatial spread of cascading …
Continue reading at www.sciencedirect.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0635—Risk analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Similar Documents

Publication Publication Date Title
Kelly-Gorham et al. Using utility outage statistics to quantify improvements in bulk power system resilience
Galvan et al. Networked microgrids with roof-top solar PV and battery energy storage to improve distribution grids resilience to natural disasters
Sidhu et al. A social cost benefit analysis of grid-scale electrical energy storage projects: A case study
Zhou et al. Reliability and economic evaluation of power system with renewables: A review
Akbari et al. A multi-stage stochastic transmission expansion planning method
Barbaro et al. Design optimisation for a hybrid renewable microgrid: Application to the case of Faial island, Azores archipelago
Gomes et al. Impact of decision-making models in transmission expansion planning considering large shares of renewable energy sources
Wang et al. Quantifying the economic and grid reliability impacts of improved wind power forecasting
Gbadamosi et al. Reliability assessment of composite generation and transmission expansion planning incorporating renewable energy sources
Fioriti et al. A novel stochastic method to dispatch microgrids using Monte Carlo scenarios
Wang et al. Impact of wind power forecasting on unit commitment and dispatch
Xu et al. A probabilistic method for determining grid-accommodable wind power capacity based on multiscenario system operation simulation
Morales et al. A transmission-cost-based model to estimate the amount of market-integrable wind resources
Wu et al. Energy trilemma in active distribution network design: Balancing affordability, sustainability and security in optimization-based decision-making
Tsai et al. Challenges of planning for high renewable futures: Experience in the US midcontinent electricity market
Wu et al. Application of Cost-CVaR model in determining optimal spinning reserve for wind power penetrated system
Holttinen et al. Steps for a complete wind integration study
Sun et al. Insights into methodologies and operational details of resource adequacy assessment: A case study with application to a broader flexibility framework
Guerrero‐Mestre et al. Incorporating energy storage into probabilistic security‐constrained unit commitment
Esmaili et al. Stochastic congestion management in power markets using efficient scenario approaches
Kim et al. Probabilistic power output model of wind generating resources for network congestion management
Barrera et al. Planning resilient networks against natural hazards: Understanding the importance of correlated failures and the value of flexible transmission assets
Li et al. Stochastic production simulation for generating capacity reliability evaluation in power systems with high renewable penetration
Sperstad et al. Cost-benefit analysis of battery energy storage in electric power grids: Research and practices
Grant et al. Hybrid power plants: An effective way of decreasing loss-of-load expectation