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Projects: Projects for Investigator
Reference Number	NIA_NGSO0012
Title	Risk-Based Analysis into Planning and Resiliency Processes
Status	Completed
Energy Categories	Other Power and Storage Technologies(Electricity transmission and distribution) 100%;
Research Types	Applied Research and Development 100%
Science and Technology Fields	ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation	Not Cross-cutting 100%
Principal Investigator	Project Contact No email address given National Grid plc
Award Type	Network Innovation Allowance
Funding Source	Ofgem
Start Date	01 March 2018
End Date	01 June 2019
Duration	ENA months
Total Grant Value	£130,000
Industrial Sectors	Power
Region	London
Programme	Network Innovation Allowance
Investigators	Principal Investigator	Project Contact , National Grid plc (100.000%)
	Industrial Collaborator	Project Contact , National Grid plc (0.000%)
Web Site	https://smarter.energynetworks.org/projects/NIA_NGSO0012
Objectives	EPRI (Electric Power Research Institute) research projects typically span multiple years. This EPRI project work stream 40.022 and the tasks involved in 2018 are listed below as well as the methodologies they will follow: Task 1: Development of Risk-Based Indices & Decision Criteria In 2017, the project performed a case study to clearly demonstrate the value of incorporating risk-based concepts in making reliability improvement decisions. In 2018, the project will focus on: Developing power flow scenarios around peak and off-peak system conditions by considering uncertainties in load, renewable generation, hydro, demand-side variability, economic variability, and generation retirement. Analyzing the scenarios developed using risk-based indices to identify weak links and critical components in the system. Task 2: Grid Reliability and Resiliency Investment Framework Development and Demonstration In 2017, the project developed a prototype version of the Resiliency Investment Framework (RIF) that allows planners to analyze High Impact Low Frequency (HILF) events and compare different options to improve system resiliency to withstand HILF events. The framework is designed to also allow analysis if reliability improvement options can help system resiliency and vice versa. The framework has power system analytical components as well as cost-benefit methodology for economic evaluation. The work in 2018 will focus on improving the framework using a practical case study, as well as delivering a software tool based around PSS/E- Python. Task 3: Investigation and Enhancement of Risk-Based Transmission Reliability Tools This task will be a continuation of the work on development, enhancement, and testing of various probabilistic transmission reliability tools. The work in 2018 will involve refinements to Scenario Builder, TransCARE and other supporting tools which this EPRI project is investigating. Task 4: Co-Optimization of Generation and Transmission This is a new task which will initiate in 2018. The research will look at approaches for possible combinations of generation and transmission investment decisions to identify the optimum solution from a physical and economic perspective. The work in 2018 will focus on state-of-the art for this topic and identify any need for further R&D. The research will also look into the role of energy storage in the co-optimization process. As the GB electricity industry experiences changes which increase the level of uncertainty in the transmission planning process, these changes may have ramifications for reliability and the cost of providing reliable electric service. The main drivers of these changes which are relevant to the GB System Operator and its Innovation Strategy are: The growing prominence of remote variable generation resources such as wind and solar photovoltaic, Demand-side resources such as demand response, residential/commercial PV, and electric vehicles These factors are significantly increasing the uncertainty as to future supply resources to be developed, future demand levels that must be served, and the resulting generation dispatch and associated power flows that will result. As such, it is becoming increasingly difficult for planners to evaluate all near- and long-term reliability impacts when considering planning projects.  The objectives of the project are to enhance the System Operators awareness and understanding of: Approaches to developing an analytical and investment framework using risk-based planning concepts that will more rigorously address increasing uncertainty and provide better insights to planners than the existing deterministic approaches. In developing such a future framework, the following objectives will be achieved as part of this R&D project. Develop/refine risk-based analysis methods and associated metrics and data requirements/sources that are required for conducting probabilistic transmission planning analyses. Investigate/develop probabilistic criteria that can be applied with existing deterministic standards that planners can use for investment decisions Enhance and/or develop risk-based tools for performing transmission planning risk-based analyses. Develop an analytical and investment framework for grid resiliency. This framework concept will incorporate the risk-based planning framework described in the above objective, but will have additional components related to analyzing High Impact Low Frequency (HILF) events and compare various investment decisions to harden the system.
Abstract
Publications	(none)
Final Report	(none)
Added to Database	02/12/22