Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NGET0097 | |
| Title | Development of Dynamic Demand Models in DIgSILENT PowerFactory | |
| 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 Electricity Transmission |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 May 2014 | |
| End Date | 01 May 2016 | |
| Duration | 24 months | |
| Total Grant Value | £267,869 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Electricity Transmission (100.000%) |
| Web Site | http://www.smarternetworks.org/project/NIA_NGET0097 |
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| Objectives | The key objective of this project is to develop validated dynamic demand models in PowerFactory and integrate it with the Master GB dynamic power system model in National Grid, which will provide a means for National Grid to quantify the impact of various dynamic demand technologies and gain confidence in the service provision from dynamic demand. The success criteria for this project will include: -An integrated dynamic demand model and GB dynamic power system model (in the Master GB model in PowerFactory) is developed and validated. Results from the impact analysis of dynamic demand on balancing the GB power system are provided. All models to be documented in a final report. | |
| Abstract | The UK is working towards de-carbonization of its electrical power system (by encouraging renewable power generation) and electrification of its heating and transport sectors. It is anticipated that a large proportion of renewable power will come from wind turbines. There could be up to 30 GW of wind generation within a total generation capacity of some 100 GW serving a load of around 60 GW by 2020. The uncertainties brought by the intermittence of renewable energy generation introduce inevitable concerns over the operation of the power system. A high penetration of renewable energy especially wind energy will increase the difficulty of frequency regulation. In addition, the largest in-feed loss of GB power system will increase from current 1,320 MW to 1,800 MW in 2014 requiring more reserve to support the system frequency. National Grid provides services for balancing demand and supply across the GB transmission system, conventionally mainly based on large central synchronous generators. National Grid paid around £192. 6 million for frequency response services and around £92. 94 million for fast reserve services in 2011/12. Finding cost-effective ways to maintain the future system balance is a priority for enabling the integration of non-synchronous power generators. A number of studies have been carried out to investigate system balancing with a high renewable energy penetration, mainly by using the flexible capabilities of generators. However demand is also capable of supporting system operation. Dynamic demand technologies, first introduced by Fred Schweppe in 1980, use loads which are not time-critical to help balance demand and supply in a power system. Research results have shown that dynamic demand technologies are able to halt a drop of frequency by a rapid reduction in demand. However, previous research has also raised the potential problems that the use of dynamic demand technologies may cause the synchronization of appliances after for instance a sustained low frequency incident. The loss of diversity in loads may cause a further frequency reduction when a large number of loads are re-connected simultaneously leading to demand disconnection. Therefore there is a clear need to investigate the technical feasibility and key technologies of applying dynamic demand technologies in delivering balancing services, and to quantify their impact on the system operation. This will allow the System Operator to draft an appropriate operational control strategy to better manage dynamic demand in particular under severe system stress conditions. Research and Development The research will build upon the preliminary success of the collaborative effort between National Grid and existing demand management providers. The unique frequency response service provided to National Grid is in its infancy with a several MWs already available. National Grid is working closely with existing providers in rolling out the service into tens and possibly hundreds of MW in the longer term. It is therefore important to make sure the service will be of value to the power system rather than having a negative impact on system performance. The rolling out of these services will be based upon testing, modelling and monitoring to allow the System Operator to gain confidence in the service not only during normal system operation but at times of system stress. The key success factor is to better understand the inherent behaviour of the service elements (e.g. thermal cycle of fridge/freezers, dynamic behaviour of water pumps, etc) and be able to predict the effect of the demand controller on them during small and large system frequency disturbances. Developing accurate dynamic demand models which have been validated by test results will be critical in achieving the above objective. The focus of demand management providers will be to continue to apply their technology to a wide range of demands and Cardiff University, in collaboration with providers and National Grid, will continue to support the dynamic demand model development in PowerFactory to ensure suitability, predictability and diversity criteria are met. Given the above needs, the method to be adopted for the proposed project is summarized below: Appropriate dynamic demand models will be developed in PowerFactory by Cardiff based on the dynamic demand technologies, and validated by their providers using their on-site injection test data. These models will be integrated with the dynamic model of the GB power system through the collaboration of Cardiff and National Grid. Research staff from Cardiff University will spend three months in National Grid to work on the model integration and the integrated model will be validated by National Grid. The impact analysis of dynamic demand on balancing the GB power system will be carried out through close collaboration between National Grid, demand management providers and Cardiff University.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 09/08/18 | |
