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Assessing the Potential Impact of Grid-Scale Variable Renewable Energy on the Reliability of Electricity Supply in Kenya (2017)
Journal Article
Edwards, G., Dent, C. J., & Wade, N. (2017). Assessing the Potential Impact of Grid-Scale Variable Renewable Energy on the Reliability of Electricity Supply in Kenya. IDS Bulletin, 48(5-6), 29-48. https://doi.org/10.19088/1968-2017.162

Securing a sufficient supply of reliable and affordable electricity is a major challenge for countries in sub-Saharan Africa (SSA), due to low current access levels, and rapid population and economic growth. This article will review application and t... Read More about Assessing the Potential Impact of Grid-Scale Variable Renewable Energy on the Reliability of Electricity Supply in Kenya.

Impact of high wind penetration on variability of unserved energy in power system adequacy (2016)
Presentation / Conference Contribution
Sheehy, S., Edwards, G., Dent, C., Kazemtabrizi, B., Troffaes, M., & Tindemans, S. (2016, October). Impact of high wind penetration on variability of unserved energy in power system adequacy. Presented at International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Beijing, China

This paper presents results on variability of out-turn shortfalls about the expected value indices which are usually presented in resource adequacy studies, for a range of Loss of Load Expectation (LOLE) levels and installed wind capacities in a test... Read More about Impact of high wind penetration on variability of unserved energy in power system adequacy.

A Linear Programming Approach for Battery Degradation Analysis and Optimization in Offgrid Power Systems with Solar Energy Integration (2016)
Journal Article
Bordin, C., Anuta, H., Crossland, A., Lascurain Gutierrez, I., Dent, C., & Vigo, D. (2016). A Linear Programming Approach for Battery Degradation Analysis and Optimization in Offgrid Power Systems with Solar Energy Integration. Renewable Energy, 101, 417-430. https://doi.org/10.1016/j.renene.2016.08.066

Storage technologies and storage integration are currently key topics of research in energy systems, due to the resulting possibilities for reducing the costs of renewables integration. Off-grid power systems in particular have received wide attentio... Read More about A Linear Programming Approach for Battery Degradation Analysis and Optimization in Offgrid Power Systems with Solar Energy Integration.

Capacity Value of Solar Power: Report of the IEEE PES Task Force on Capacity Value of Solar Power (2016)
Presentation / Conference Contribution
Dent, C., Sioshansi, R., Reinhart, J., Wilson, A., Zachary, S., Lynch, M., Bothwell, C., & Steele, C. (2016, October). Capacity Value of Solar Power: Report of the IEEE PES Task Force on Capacity Value of Solar Power. Presented at International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Beijing, China

This paper reviews methods used for adequacy risk assessment considering solar power, and for assessment of the capacity value of solar power. The properties of solar power are described as seen from the perspective of the balancing authority, compar... Read More about Capacity Value of Solar Power: Report of the IEEE PES Task Force on Capacity Value of Solar Power.

Research on Common-Mode and Dependent (CMD) Outage Events in Power Systems: A Review (2016)
Journal Article
Dent, C. (2016). Research on Common-Mode and Dependent (CMD) Outage Events in Power Systems: A Review. IEEE Transactions on Power Systems, 32(2), 1528-1536. https://doi.org/10.1109/tpwrs.2016.2588881

The purpose of this paper is to present a review of some fundamental concepts and practical applications in the area of common-mode and dependent (CMD) outage events in power systems. The paper is a result of ongoing activity carried out by the Proba... Read More about Research on Common-Mode and Dependent (CMD) Outage Events in Power Systems: A Review.

Benchmarking and Validation of Cascading Failure Analysis Tools (2016)
Journal Article
Bialek, J., Ciapessoni, E., Cirio, D., Cotilla-Sanchez, E., Dent, C., Dobson, I., …Wu, D. (2016). Benchmarking and Validation of Cascading Failure Analysis Tools. IEEE Transactions on Power Systems, 31(6), 4887-4900. https://doi.org/10.1109/tpwrs.2016.2518660

Cascading failure in electric power systems is a complicated problem for which a variety of models, software tools, and analytical tools have been proposed but are difficult to verify. Benchmarking and validation are necessary to understand how close... Read More about Benchmarking and Validation of Cascading Failure Analysis Tools.

Calibration and sensitivity analysis of long-term generation investment models using Bayesian emulation (2015)
Journal Article
Xu, M., Wilson, A., & Dent, C. (2016). Calibration and sensitivity analysis of long-term generation investment models using Bayesian emulation. Sustainable Energy, Grids and Networks, 5, 58-69. https://doi.org/10.1016/j.segan.2015.10.007

Investments in generation are high risk, and the introduction of renewable technologies exacerbated concern over capacity adequacy in future power systems. Long-term generation investment (LTGI) models are often used by policymakers to provide future... Read More about Calibration and sensitivity analysis of long-term generation investment models using Bayesian emulation.

Investigation of Maximum Possible OPF Problem Decomposition Degree for Decentralized Energy Markets (2015)
Journal Article
Loukarakis, E., Bialek, J., & Dent, C. (2015). Investigation of Maximum Possible OPF Problem Decomposition Degree for Decentralized Energy Markets. IEEE Transactions on Power Systems, 30(5), 2566-2578. https://doi.org/10.1109/tpwrs.2014.2365959

The need for improved utilization of existing system assets and energy sources, as well as the smooth incorporation of new technologies (such as electric vehicles) into the grid, has prompted the participation of small power consumers and generators... Read More about Investigation of Maximum Possible OPF Problem Decomposition Degree for Decentralized Energy Markets.

Defining and Evaluating the Capacity Value of Distributed Generation (2015)
Journal Article
Dent, C., Hernandez-Ortiz, A., Blake, S., Miller, D., & Roberts, D. (2015). Defining and Evaluating the Capacity Value of Distributed Generation. IEEE Transactions on Power Systems, 30(5), 2329-2337. https://doi.org/10.1109/tpwrs.2014.2363142

Installed capacities of distributed generation (DG) are projected to increase substantially in Great Britain and many other power systems. This paper will discuss the definition of capacity value of DG arising from its ability to support additional d... Read More about Defining and Evaluating the Capacity Value of Distributed Generation.

Data Analysis and Robust Modelling of the Impact of Renewable Generation on Long Term Security of Supply and Demand (2015)
Presentation / Conference Contribution
Troffaes, M. C., Williams, E., & Dent, C. J. (2015, July). Data Analysis and Robust Modelling of the Impact of Renewable Generation on Long Term Security of Supply and Demand. Presented at IEEE PES General Meeting 2015., Denver, Colorado, US

This paper studies rigorous statistical techniques for modelling long term reliability of demand and supply of electrical power given uncertain variability in the generation and availability of wind power and conventional generation. In doing so, we... Read More about Data Analysis and Robust Modelling of the Impact of Renewable Generation on Long Term Security of Supply and Demand.

Further Results on the Probability Theory of Capacity Value of Additional Generation (2014)
Presentation / Conference Contribution
Dent, C., & Zachary, S. (2014, July). Further Results on the Probability Theory of Capacity Value of Additional Generation. Presented at International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Durham, England

New theoretical results regarding the capacity value of additional generation are presented, the motivation being explanation of results from applied renewables integration studies. Of particular note are the dependence of calculated values on underl... Read More about Further Results on the Probability Theory of Capacity Value of Additional Generation.

Quantifying the contribution of wind farms to distribution network reliability (2014)
Journal Article
Blake, S., Taylor, P., Dent, C., & Miller, D. (2015). Quantifying the contribution of wind farms to distribution network reliability. Wind Energy, 18(5), 941-953. https://doi.org/10.1002/we.1741

The reliability of power supply to distribution network customers can be increased by embedded generation, including wind farms. The value of this increase in reliability needs to be evaluated, and national standards such as the Great Britain securit... Read More about Quantifying the contribution of wind farms to distribution network reliability.

State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization (2013)
Journal Article
Keane, A., Ochoa, L., Borges, C., Ault, G., Alarcon-Rodriguez, A., Currie, R., …Harrison, G. (2013). State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization. IEEE Transactions on Power Systems, 28(2), 1493-1502. https://doi.org/10.1109/tpwrs.2012.2214406

It is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years; however, it is certain that increasing penetration levels require robust tools that help assess the capabilities... Read More about State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization.

Wind generation’s contribution to supporting peak electricity demand – meteorological insights (2012)
Journal Article
Brayshaw, D., Dent, C., & Zachary, S. (2012). Wind generation’s contribution to supporting peak electricity demand – meteorological insights. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 226(1), 44-50. https://doi.org/10.1177/1748006x11417503

Wind generation’s contribution to meeting extreme peaks in electricity demand is a key concern for the integration of wind power. In Great Britain (GB), robustly assessing this contribution directly from power system data (i.e. metered wind-supply an... Read More about Wind generation’s contribution to supporting peak electricity demand – meteorological insights.

Probability theory of capacity value of additional generation (2012)
Journal Article
Zachary, S., & Dent, C. (2012). Probability theory of capacity value of additional generation. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 226(1), 33-43. https://doi.org/10.1177/1748006x11418288

This paper describes a new probability theory of the capacity value of additional generation in electrical power systems. A closed-form expression for the effective load carrying capability or equivalent firm capacity of a small additional capacity i... Read More about Probability theory of capacity value of additional generation.

Capacity Value of Large Tidal Barrages (2011)
Journal Article
Radtke, J., Dent, C., & Couch, S. (2011). Capacity Value of Large Tidal Barrages. IEEE Transactions on Power Systems, 26(3), 1697-1704. https://doi.org/10.1109/tpwrs.2010.2095433

This paper presents the first detailed capacity value calculation for tidal barrage generation, based on modeling of operational modes for the proposed 8-GW Severn Barrage scheme in Great Britain. The key finding is that the effective load carrying c... Read More about Capacity Value of Large Tidal Barrages.

Opportunity Cost Bidding by Wind Generators in Forward Markets: Analytical Results (2011)
Journal Article
Dent, C., Bialek, J., & Hobbs, B. (2011). Opportunity Cost Bidding by Wind Generators in Forward Markets: Analytical Results. IEEE Transactions on Power Systems, 26(3), 1600-1608. https://doi.org/10.1109/tpwrs.2010.2100412

Wind generation must trade in forward electricity markets based on imperfect forecasts of its output and real-time prices. When the real-time price differs for generators that are short and long, the optimal forward strategy must be based on the oppo... Read More about Opportunity Cost Bidding by Wind Generators in Forward Markets: Analytical Results.

Capacity Value of Wind Power (2011)
Journal Article
Keane, A., Milligan, M., Dent, C., Hasche, B., D'Annunzio, C., Dragoon, K., …O'Malley, M. (2011). Capacity Value of Wind Power. IEEE Transactions on Power Systems, 26(2), 564-572. https://doi.org/10.1109/tpwrs.2010.2062543

Power systems are planned such that they have adequate generation capacity to meet the load, according to a defined reliability target. The increase in the penetration of wind generation in recent years has led to a number of challenges for the plann... Read More about Capacity Value of Wind Power.

Enhanced Utilisation of Voltage Control Resources with Distributed Generation (2011)
Journal Article
Keane, A., Ochoa, L., Vittal, E., Dent, C., & Harrison, G. (2011). Enhanced Utilisation of Voltage Control Resources with Distributed Generation. IEEE Transactions on Power Systems, 26(1), 252-260. https://doi.org/10.1109/tpwrs.2009.2037635

Distributed generation (DG) is increasing in penetration on power systems across the world. In rural areas, voltage rise limits the permissible penetration levels of DG. Another increasingly important issue is the impact on transmission system voltag... Read More about Enhanced Utilisation of Voltage Control Resources with Distributed Generation.

Non-iterative Method for Modeling Systematic Data Errors in Power System Risk Assessment (2011)
Journal Article
Dent, C., & Bialek, J. (2011). Non-iterative Method for Modeling Systematic Data Errors in Power System Risk Assessment. IEEE Transactions on Power Systems, 26(1), 120-127. https://doi.org/10.1109/tpwrs.2009.2037636

This paper provides a new framework for modeling uncertainty in the input data for power system risk calculations, and the error bars that this places on the results. Differently from previous work, systematic error in unit availability probabilities... Read More about Non-iterative Method for Modeling Systematic Data Errors in Power System Risk Assessment.