Projects
Projects: Projects for Investigator |
||
| Reference Number | NIA_SPT_1301 | |
| Title | Electrical Power Research Institute Programme Engagement | |
| 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 SP Energy Networks |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 January 2013 | |
| End Date | 01 January 2016 | |
| Duration | 36 months | |
| Total Grant Value | £239,540 | |
| Industrial Sectors | Power | |
| Region | Scotland | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , SP Energy Networks (100.000%) |
| Web Site | http://www.smarternetworks.org/project/NIA_SPT_1301 |
|
| Objectives | EPRI’s Grid Operations research program delivers value using the shared experiences and understanding of its utility and independent system operator (ISO) members in conjunction with the expertise of EPRI’s staff and network of top-level contractors. The program conducts research projects that lead to prototype methods and tools that can be utilised by system operators to validate the methods that are then distributed to commercial vendors that supply and support member applications. EPRI also engages with external industry standards, regulatory, and research efforts to ensure that the EPRI research program is taking advantage of broader industry efforts and advancing the state of the art. This research program also strives to provide members near-term, mid-term, and long-term value. For example, the 2013 Grid Operations research program will finalize the development of prototype tools for supporting identification and mitigation of potential voltage stability concerns and deliver prototype tools and guidelines for identifying the optimal blackstart capability needed to restore the system after an outage during a time when many system are re-evaluating blackstart/restoration plans given the evolving generation mix. At the same time, we will continue development/evaluations of advanced data processing, computing technologies, and solution algorithms to improve the performance of all operational analytics and decision making. A success criterion is for ScottishPower Transmission engineers to engage fully with the EPRI research programme and apply relevant outcomes to business activities and innovation projects. | |
| Abstract | In many ways, today’s power system must be operated to meet objectives for which it was not explicitly designed. Today’s transmission system is operated to transfer larger amounts of energy than were considered when it was built, and it is operated much closer to the margin. Generation resources are more constrained and increasingly more variable and uncertain. Under these circumstances, it is imperative that network operators and network owners are provided with good information based on real-time data regarding the status of the system, as well as decision-making support information to respond to rapid changes in the future. The emergence of new sources of real-time data that are becoming available from synchrophasor measurements, asset health sensors, and forecasts of future load and variable renewable output levels enable the possibility of providing operators with increased situational awareness and advanced decision-support tools. These tools enable operators to reliably and economically operate the system in the face of emerging challenges. On the contrary, there is limited knowledge or experiences regarding how to use the information effectively at transmission level. Mathematic model for network, complicated estimation technology and data transfer limitations have to be studied. In that case, there is currently a gap (hence a clear need) to comprehensively understand the reliability and characteristics of data from different sources and to define a clear (and realistic) functions list for software (and/or hardware) for the transmission industry. The membership will enable the participation of Electrical Power Research Institute (EPRI) Grid Operations research programme. This programme is reviewing the industrial standards and the latest R&D information at international level, exploring potential software development strategies based on non-linear estimation methods. The outcomes will feed into specifications (including functions for future proofing) to make full use of synchrophasor measurements data for assessing system stability, reactive power support, and the capabilities to manage the grid through extreme events and to restore the system in the event of an outage.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
| Publications | (none) |
|
| Final Report | (none) |
|
| Added to Database | 14/08/18 | |
