Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NGSO0028 | |
| Title | Study of Advanced Modelling for Network Planning Under Uncertainty | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Other Supporting Data) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | SOCIAL SCIENCES (Business and Management Studies) 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 October 2019 | |
| End Date | 01 August 2020 | |
| Duration | ENA months | |
| Total Grant Value | £180,000 | |
| 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%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_NGSO0028 |
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| Objectives | In order to identify how the transmission system planning process could be improved, this project will investigate introducing greater detail in the technical analysis, coupling the technical analysis more tightly with the NOA CBA process, and considering alternative options to incorporate planning uncertainty. The project will undertake the following work: Literature review of current industry and regulatory processes for network planning under uncertainty and relevant modelling techniques, as well as of other relevant ongoing and past projects. Academic and industry-related literature review on decision making under uncertainty, with focus on stochastic optimization, robust optimization, decision theory techniques, risk analysis, and practical applications worldwide. Transmission system technical model review: identification of key issues and gaps with current single-snapshot modelling and consideration for enhancing its scope into a more comprehensive operational model with techno-economic aspects; consideration of future options based on emerging technical modelling constraints (e.g., flexibility, reserve and frequency response constraints, area transfer constraints, etc.) and modelling options (e.g., AC/DC power flows, linear programme (LP) or mixed integer linear programme (MILP) optimal power flows, etc.), also depending on the potential requirements to include new technologies such as storage, Demand Side Response (DSR), inter-trip schemes, etc. Transmission system planning model review: identification of key issues and gaps with current process and pros and cons of LWR approach; consideration for different approaches in the stochastic planning model, which will also integrate the operational technical model. Different approaches will be considered that might be adopted in future planning methodologies, e.g., optimization via simulation (e.g., through recursive algorithms to explore investment stochastic trees) or formal mathematical programming techniques (e.g., Benders decomposition in the case of MILP formulation that embeds an operational LP formulation). Outline of new potential system planning process options, highlighting the most desirable features of the new methodology to deal with low-carbon system operation and long-term planning uncertainty taking into account available tools. The overall aim of this project is to identify potential alternatives and opportunities for new planning methodologies that evaluate both technical and economic aspects in a more integrated manner and introduce flexibility and risk awareness in dealing with large-scale planning uncertainty. Differently from other projects that may look at testing specific solutions, this project will investigate more fundamental and wider aspects of how the current planning process could be improved to deal with an evolving energy system, new technologies and potential operational solutions, and addressing long-term uncertainties in a more systematic way. Clear recommendations will be produced for how new techniques could be adopted to enhance the overall planning process in light of all the relevant emerging issues and opportunities. The project will undertake the following objectives: Review/identify issues with the current deterministic planning processes and standards Review the state-of-the-art methodologies for energy system planning under uncertainty Review/identify issues with the current (i.e., one snapshot-based) technical modelling used in planning Outline a general decision-making framework for planning under uncertainty, e.g., to inform/extend the current NOA process Define the key and most desirable elements and methodological options for such a framework, for example based on stochastic optimization, decision theory techniques, and risk analysis. | |
| Abstract | The overall aim of this project is to identify potential alternatives and opportunities for new planning methodologies that evaluate both technical and economic aspects in a more integrated manner and introduce flexibility and risk awareness in dealing with large-scale planning uncertainty. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 09/11/22 | |
