Towards Joint Power-Communication System Modelling and Optimisation for Smart Grid Application: Virtual Power Plant (TOPMOST)
Lead Research Organisation:
Durham University
Department Name: Engineering
Abstract
The UK's electricity networks are serving millions of people everyday but now are facing a challenging future, with ageing infrastructure but increasing penetration of Renewable Energy Sources (RESs). As such, the Office of Gas and Electricity Markets (Ofgem) has approved plans to spend £17bn for upgrading the UK's electricity networks till 2023 by using smarter technologies. As one of the most promising solutions, smart grid has attracted much attention, since it is capable of enabling bidirectional flows of energy and communications in the power grid infrastructure, that is crucial in improving the reliability, security, and efficiency of the electric systems and keeping the lights on at minimum cost to consumers.
The proposed research is concerned with one key smart grid application, i.e., Virtual Power Plant (VPP) which is designed to aggregate the capacity of many diverse distributed energy resources (DERs) and flexible demands to create a single operating profile as one "virtual power plant" that helps balance supply and demand in real time. To facilitate VPP, both optimisation algorithms and communication technologies play a significant role, but the full potential of VPP has been hampered by the lack of joint power-communication system models and the thorough analysis of the impact of communication system imperfections to optimisation algorithms.
If successful, this research will provide better understandings of these two systems operating with close interactions in VPP, develop more advanced methods in the design of VPP, and implement a hardware testbed of VPP with two-way real-time communication capability in Durham Smart Grid Laboratory. These could potentially lead to more efficient management of RESs and flexible demands, ultimately to improved operational efficiency of power grids for system operators and to reduced cost for consumers. Perhaps most importantly, however, is that this research will enable us to begin asking how we shall optimise the performance of smart grid technologies, considering not only power systems but also realistic communication systems, thus encouraging multidisciplinary research and cross-fertilising both fields.
The proposed research is concerned with one key smart grid application, i.e., Virtual Power Plant (VPP) which is designed to aggregate the capacity of many diverse distributed energy resources (DERs) and flexible demands to create a single operating profile as one "virtual power plant" that helps balance supply and demand in real time. To facilitate VPP, both optimisation algorithms and communication technologies play a significant role, but the full potential of VPP has been hampered by the lack of joint power-communication system models and the thorough analysis of the impact of communication system imperfections to optimisation algorithms.
If successful, this research will provide better understandings of these two systems operating with close interactions in VPP, develop more advanced methods in the design of VPP, and implement a hardware testbed of VPP with two-way real-time communication capability in Durham Smart Grid Laboratory. These could potentially lead to more efficient management of RESs and flexible demands, ultimately to improved operational efficiency of power grids for system operators and to reduced cost for consumers. Perhaps most importantly, however, is that this research will enable us to begin asking how we shall optimise the performance of smart grid technologies, considering not only power systems but also realistic communication systems, thus encouraging multidisciplinary research and cross-fertilising both fields.
Planned Impact
1. The project will provide advancement in knowledge about the modelling and optimisation of joint power-communication systems for supporting smart grid applications, particularly targeting at virtual power plant (VPP) but can be readily generalised to other smart grid applications such as demand side management and smart metering programmes. This will have high possibility of attracting the attention of academic researchers from the wide fields of power & energy, control, and communications.
2. The proposed research in WP 2 and the experimental approach in WP 3 are not only relevant to the power system research, but also can be readily utilised for developing and testing next generation communication techniques. It provides an opportunity of developing technical skills in the fields of both power systems and communication systems, to both the PDRA and the PhD student involved in the project. These skills are also transferable to the research areas of smart homes, smart cities, and Internet of things, which also involve the development of modelling and optimisation techniques for joint systems that involve the communication system.
3. This project will establish a new experimental testbed to validate and evaluate both models and algorithms for managing distributed energy resources (DERs) and flexible demands in VPP. This will not only help individual consumers or DERs to obtain more opportunities of gaining revenues, but also provide system operators with the chance of improving operational efficiency due to the efficient use of DERs and the integration of flexible demands.
4. Relevant energy industry will also be interested in testing their products in the smart grid environments, e.g., the project partner Sunamp Ltd has shown big interests in exploiting the use of heat batteries in VPP and extending their products with remote monitoring functionalities by using the proposed communication techniques (see the letter of support from Sunamp Ltd). It is very likely that other ambitious collaborative projects will be developed between Durham and industrial partners that further enhance international excellence of UK on the subject of smart grid technologies.
5. The UK governmental bodies have shown increasing interest in the development of smart grid technologies and encouraging low carbon innovations through dealing with regulatory barriers. This project will provide an important chance of investigating related issues. Building on Dr Sun's experience of contributing two written evidences to the UK governmental bodies (including the UK Parliamentary Committee on Energy and Climate Change, and the UK Government Department of Energy & Climate Change), new written evidences will be generated from the outcomes of the proposed research.
2. The proposed research in WP 2 and the experimental approach in WP 3 are not only relevant to the power system research, but also can be readily utilised for developing and testing next generation communication techniques. It provides an opportunity of developing technical skills in the fields of both power systems and communication systems, to both the PDRA and the PhD student involved in the project. These skills are also transferable to the research areas of smart homes, smart cities, and Internet of things, which also involve the development of modelling and optimisation techniques for joint systems that involve the communication system.
3. This project will establish a new experimental testbed to validate and evaluate both models and algorithms for managing distributed energy resources (DERs) and flexible demands in VPP. This will not only help individual consumers or DERs to obtain more opportunities of gaining revenues, but also provide system operators with the chance of improving operational efficiency due to the efficient use of DERs and the integration of flexible demands.
4. Relevant energy industry will also be interested in testing their products in the smart grid environments, e.g., the project partner Sunamp Ltd has shown big interests in exploiting the use of heat batteries in VPP and extending their products with remote monitoring functionalities by using the proposed communication techniques (see the letter of support from Sunamp Ltd). It is very likely that other ambitious collaborative projects will be developed between Durham and industrial partners that further enhance international excellence of UK on the subject of smart grid technologies.
5. The UK governmental bodies have shown increasing interest in the development of smart grid technologies and encouraging low carbon innovations through dealing with regulatory barriers. This project will provide an important chance of investigating related issues. Building on Dr Sun's experience of contributing two written evidences to the UK governmental bodies (including the UK Parliamentary Committee on Energy and Climate Change, and the UK Government Department of Energy & Climate Change), new written evidences will be generated from the outcomes of the proposed research.
Organisations
Publications
Alnasser A
(2020)
Recommendation-Based Trust Model for Vehicle-to-Everything (V2X)
in IEEE Internet of Things Journal
Alnasser A
(2017)
A Fuzzy Logic Trust Model for Secure Routing in Smart Grid Networks
in IEEE Access
Chang H
(2019)
User-Centric Multiobjective Approach to Privacy Preservation and Energy Cost Minimization in Smart Home
in IEEE Systems Journal
Heron J
(2021)
Key performance-cost tradeoffs in smart electric vehicle charging with distributed generation
in IET Smart Grid
Heron J
(2018)
Demand-Response Round-Trip Latency of IoT SmartGrid Network Topologies
in IEEE Access
Hill E
(2018)
Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications
in IEEE Transactions on Industrial Informatics
Hua W
(2018)
Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets
in International Journal of Smart Grid and Clean Energy
Humfrey H
(2019)
Dynamic charging of electric vehicles integrating renewable energy: a multi-objective optimisation problem
in IET Smart Grid
Description | Distributed generations can be effectively operated using virtual power plant techniques. The key benefits are: reduced carbon emission, improved cost-effectiveness and reduced transmission loss. By using intelligent controlled energy storage devices, the stability of power system can be guaranteed. This requires complex models and forecasting of energy demand, supply and storage. Further research activities are still needed to tackle the challenge of system complexity. |
Exploitation Route | Innovate UK KTP projects that enable knowledge transferred to industry. |
Sectors | Digital/Communication/Information Technologies (including Software) Energy |
Description | Electrical and thermal storage optimisation in a virtual power plant |
Amount | £286,991 (GBP) |
Funding ID | 132934 |
Organisation | Innovate UK |
Sector | Public |
Country | United Kingdom |
Start | 11/2017 |
End | 09/2018 |
Description | Virtual Power Plant with Artificial Intelligence for Resilience and Decarbonisation (VPP-WARD) |
Amount | £1,845,327 (GBP) |
Funding ID | EP/Y005376/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 04/2023 |
End | 03/2025 |
Description | BBC news on energy grids |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | https://www.bbc.co.uk/news/business-62351448 BBC news on off grid solutions |
Year(s) Of Engagement Activity | 2022 |
URL | https://www.bbc.co.uk/news/business-62351448 |
Description | UKRI news on VPP |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | https://www.ukri.org/news-and-events/responding-to-climate-change/developing-new-behaviours-and-solutions/putting-the-power-in-the-hands-of-households/ |
Year(s) Of Engagement Activity | 2023 |
URL | https://www.ukri.org/news-and-events/responding-to-climate-change/developing-new-behaviours-and-solu... |