Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_UKPN0036 | |
| Title | Timed Connection Software Development | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy system analysis) 10%; Energy Efficiency(Transport) 20%; Other Power and Storage Technologies(Electricity transmission and distribution) 60%; Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 10%; |
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| 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 80%; Systems Analysis related to energy R&D (Other Systems Analysis) 20%; |
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| Principal Investigator |
Project Contact No email address given UK Power Networks |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 May 2018 | |
| End Date | 01 March 2020 | |
| Duration | ENA months | |
| Total Grant Value | £475,339 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , UK Power Networks (100.000%) |
| Industrial Collaborator | Project Contact , UK Power Networks (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_UKPN0036 |
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| Objectives | The current design of customer connection relies on the assumption of maximum demand at any time and on any day.Maximum demand is determined from full customer load requirement (kW) and historic maximum demand (kW). In reality, the demand on the network varies through the day and is foreseeable on certain networks. By analysing the network peak demand by time of day there is an opportunity to match consumer demands during off-peak periods while reducing reinforcement needs.The new proposed approach would include the following steps:1.Connecting customer states their charging requirements. e.g: a delivery fleet charging station may request 2MVA charging capacity from 11pm-6am daily, but daytime charging capacity of 1MVA. 2.Timed connection software tool assesses capacity and network constraints based on historic data without the assumption of any time, any day. This is reviewed against customer requirements of charging and opportunities of off peak charging are identified3.Customer is offered a timed connection based on the softwares prediction of headroom and time while the network reinforcement is deferred. Develop and deliver a long-term enduring solution to analysing the network for opportunities for timed connections. The software solution will identify the discrete periods in a 24-hour timescale when the typical peak demand on network is and how much additional load can be accommodated within and outside these periods. We will test and pilot the tools with a small dedicated team.Deliverables:Technical requirements for timed connections toolDesign document for the timed connections toolWorking version of the timed connections toolAcceptance testing results Objectives and outcomes of the project include: Develop and deliver a long-term enduring solution to analysing the network for opportunity for timed connections. The software solution will identify the discrete periods in a 24-hour timescale what the typical peak demand on network is and how much additional load can be accommodated Identify an appropriate solution (stand-alone or integrated to existing systems) and vendor with a suitable operation and maintenance arrangement Determine the system requirements with the main users (UK Power Networks planning teams) and smart-grid development team Establish an enduring policy for the application (i.e. how and when to offer customers this solution) and assessment (i.e. how to use the tool) of timed connections Roll-out the tool and deliver training as necessary to encourage super user adoption | |
| Abstract | There is an increasing interest from commercial and fleet vehicle operators to adopt Electric Vehicles (EVs) as their primary mode of transportation. This shift to electric transport brings with it the requirement for significant upgrade to the power supply to the location where the EVs will be charged. A couple of examples are outlined below:-Case Study 1: 500kVA prior connection supply, 1.25MVA fixed maximum capacity expected after reinforcement upgrade, costing 600,0000-Case Study 2: 250kVA prior connection supply, 2.5MVA fixed maximum capacity expected after reinforcement upgrade, costing 261,600 As outlined above, the power demand of the commercial EV fleet operators tends to be large and concentrated. The implications being: -Significant capacity required from the electricity network -Potential for reinforcement to be triggered causing a financial impact on customers - Potential for extended timelines of EV deployment in response to upgrades | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 14/12/22 | |
