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Dr Peter Matthews' Outputs (86)

Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game (2022)
Journal Article
Hua, W., Xiao, H., Pei, W., Chiu, W.-Y., Jiang, J., Sun, H., & Matthews, P. (2023). Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game. CSEE journal of power and energy systems, 9(2), 505-515. https://doi.org/10.17775/cseejpes.2021.04370

Aggregating the demand side flexibility is essential to complementing the inflexible and variable renewable energy supply in achieving low carbon energy systems. Sources of demand side flexibility, e.g., dispatchable generators, storages, and flexibl... Read More about Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game.

Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems (2022)
Presentation / Conference Contribution
Correa-Delval, M., Sun, H., Matthews, P. C., & Chiu, W.-Y. (2022, September). Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems. Presented at 2022 5th International Conference on Renewable Energy and Power Engineering (REPE 2021), Beijing, China

In recent years, the importance of reducing carbon dioxide (CO2) emissions has increased. With the use of technologies such as artificial intelligence, we can improve the way households manage their energy use to decrease cost and carbon emissions. I... Read More about Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems.

Appliance Classification using BiLSTM Neural Networks and Feature Extraction (2021)
Presentation / Conference Contribution
Correa-Delval, M., Sun, H., Matthews, P., & Jiang, J. (2021, October). Appliance Classification using BiLSTM Neural Networks and Feature Extraction. Presented at IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Espoo, Finland

One significant challenge in Non-Intrusive Load Monitoring (NILM) is to identify and classify active appliances used in a building. This research focuses on the classifying process, exploring different approaches for the feature extraction of the app... Read More about Appliance Classification using BiLSTM Neural Networks and Feature Extraction.

Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms (2019)
Journal Article
Ahmad, T., Basit, A., Ahsan, M., Coupiac, O., Girard, N., Kazemtabrizi, B., & Matthews, P. (2019). Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms. Energies, 12(7), Article 1266. https://doi.org/10.3390/en12071266

This paper presents, with a live field experiment, the potential of increasing wind farm power generation by optimally yawing upstream wind turbine for reducing wake effects as a part of the SmartEOLE project. Two 2MW turbines from the Le Sole de Moul... Read More about Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms.

Fast Processing Intelligent Wind Farm Controller for Production Maximisation (2019)
Journal Article
Ahmad, T., Basit, A., Anwar, J., Coupiac, O., Kazemtabrizi, B., & Matthews, P. (2019). Fast Processing Intelligent Wind Farm Controller for Production Maximisation. Energies, 12(3), Article 544. https://doi.org/10.3390/en12030544

A practical wind farm controller for production maximisation based on coordinated control is presented. The farm controller emphasises computational efficiency without compromising accuracy. The controller combines particle swarm optimisation (PSO) w... Read More about Fast Processing Intelligent Wind Farm Controller for Production Maximisation.

Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets (2018)
Presentation / Conference Contribution
Hua, W., Li, D., Sun, H., Matthews, P., & Meng, F. (2017, September). Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. Presented at 2nd International Conference on Power and Renewable Energy, Chengdu, China

In order to alleviate the effects of greenhouse gas emissions, the environmental and economic dispatch (EED) is formulated as multiobjective problem (MOP) solved by multiobjective immune algorithm (MOIA). Building on this model, the virtual power pla... Read More about Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets.

Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets (2018)
Journal Article
Hua, W., Li, D., Sun, H., Matthews, P., & Meng, F. (2018). Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. International journal of smart grid and clean energy, 7(4), 231-239. https://doi.org/10.12720/sgce.7.4.231-239

In order to alleviate the effects of greenhouse gas emissions, the environmental and economic dispatch (EED) is formulated as multiobjective optimization problem (MOP) solved by multiobjective immune algorithm (MOIA). Building on this model, the virt... Read More about Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets.

Field Implementation and Trial of Coordinated Control of Wind Farms (2017)
Journal Article
Ahmad, T., Coupliac, O., Petit, A., Guignard, S., Girard, N., Kazemtabrizi, B., & Matthews, P. (2018). Field Implementation and Trial of Coordinated Control of Wind Farms. IEEE Transactions on Sustainable Energy, 9(3), 1169-1176. https://doi.org/10.1109/tste.2017.2774508

This paper demonstrates, with live field experiment, the potential of increasing wind farm production through minimising wake effects by curtailing upstream wind turbines. Two 2MW turbines from the SMV (Le Sole de Moulin Vieux) wind farm are used for... Read More about Field Implementation and Trial of Coordinated Control of Wind Farms.

Method for Designing a High Capacity Factor Wide Area Virtual Wind Farm (2017)
Journal Article
Trenkel-Lopez, M., & Matthews, P. (2018). Method for Designing a High Capacity Factor Wide Area Virtual Wind Farm. IET Renewable Power Generation, 12(3), 351-358. https://doi.org/10.1049/iet-rpg.2017.0396

Moving towards a future power system dominated by renewable energy, it is vital that the siting of spatial-dependent technologies such as wind maximises the power generation while minimising the variability associated with wind power. This study deve... Read More about Method for Designing a High Capacity Factor Wide Area Virtual Wind Farm.

Impact of wind conditions on thermal loading of PMSG wind turbine power converters (2017)
Journal Article
Smith, C., Crabtree, C., & Matthews, P. (2017). Impact of wind conditions on thermal loading of PMSG wind turbine power converters. IET Power Electronics, 10(11), 1268-1278. https://doi.org/10.1049/iet-pel.2016.0802

Power converter reliability is critical for permanent magnet synchronous generator (PMSG) wind turbines. Converter failures are linked to power module thermal loading but studies often neglect turbine dynamics, control and the impact of wind speed sa... Read More about Impact of wind conditions on thermal loading of PMSG wind turbine power converters.

SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder (2016)
Presentation / Conference Contribution
Al Moubayed, N., Breckon, T., Matthews, P., & McGough, A. (2016, August). SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder

In This paper we present a novel approach to spam filtering and demonstrate its applicability with respect to SMS messages. Our approach requires minimum features engineering and a small set of labelled data samples. Features are extracted using topi... Read More about SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder.

Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller (2015)
Presentation / Conference Contribution
Ahmad, T., Girard, N., Kazemtabrizi, B., & Matthews, P. (2015, November). Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller. Presented at EWEA 2015, Paris, France

This work develops an assessment methodology for identifying potential areas where coordinated control can increase farm power output. A dynamic farm controller is presented that exploits the benefits of reducing power of the upstream turbines for in... Read More about Analysis of Two Onshore Wind Farms with a Dynamic Farm Controller.

Evaluation of Synthetic Wind Speed Time Series for Reliability Analysis of Offshore Wind Farms (2015)
Presentation / Conference Contribution
Smith, C., Crabtree, C., & Matthews, P. (2015, November). Evaluation of Synthetic Wind Speed Time Series for Reliability Analysis of Offshore Wind Farms. Presented at EWEA 2015, Paris, France

A method for synthesising wind speed time series (WSTS) from limited data is required that can be used for reliability examination of wind farms and maintenance strategies for a range of wind speed scenarios. Key characteristics of the wind resource... Read More about Evaluation of Synthetic Wind Speed Time Series for Reliability Analysis of Offshore Wind Farms.

Onshore Wind Farm Fast Wake Estimation Method: Critical Analysis of the Jensen Model (2015)
Presentation / Conference Contribution
Sidwell, N., Ahmad, T., & Matthews, P. (2015, November). Onshore Wind Farm Fast Wake Estimation Method: Critical Analysis of the Jensen Model. Presented at EWEA 2015, Paris, France

Wind energy is the most rapidly expanding source of renewable energy in the UK and has supplied 5% of the country’s electricity requirements since 2010. With finite space available for future development, investors and manufacturers are constantly lo... Read More about Onshore Wind Farm Fast Wake Estimation Method: Critical Analysis of the Jensen Model.

Dynamic Wind Farm Controller (2015)
Presentation / Conference Contribution
Ahmad, T., Matthews, P., Kazemtabrizi, B., & Smith, C. (2015, September). Dynamic Wind Farm Controller. Presented at 11th EAWE PhD Seminar on Wind Energy in Europe., Stuttgart, Germany

This work presents a dynamic wind farm controller for maximising power output of a wind farm. The controller uses a coordinated control approach where the output of the upstream turbines is varied to minimise wake effects on the downstream turbines.... Read More about Dynamic Wind Farm Controller.

Experimental Set-up for Applying Wind Turbine Operating Profiles to the Nacelle Power Converter (2015)
Presentation / Conference Contribution
Smith, C., Crabtree, C., & Matthews, P. (2015, September). Experimental Set-up for Applying Wind Turbine Operating Profiles to the Nacelle Power Converter. Presented at 11th EAWE PhD Seminar, Stuttgart, Germany

Studies have shown that the reliability of fully rated converters (FRC) in permanent magnet synchronous generator (PMSG) wind turbines is critical. This paper outlines an experimental rig that applies PMSG wind turbine specific operating profiles to... Read More about Experimental Set-up for Applying Wind Turbine Operating Profiles to the Nacelle Power Converter.

Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition (2015)
Journal Article
Chen, B., Matthews, P., & Tavner, P. (2015). Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition. IET Renewable Power Generation, 9(5), 503-513. https://doi.org/10.1049/iet-rpg.2014.0181

Current wind turbine (WT) studies focus on improving their reliability and reducing the cost of energy, particularly when WTs are operated offshore. A supervisory control and data acquisition (SCADA) system is a standard installation on larger WTs, m... Read More about Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition.