C
Chris Dent
Researcher at University of Edinburgh
Publications - 120
Citations - 3670
Chris Dent is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Wind power & Electric power system. The author has an hindex of 24, co-authored 110 publications receiving 3254 citations. Previous affiliations of Chris Dent include Heriot-Watt University & The Turing Institute.
Papers
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Journal ArticleDOI
Distribution Network Capacity Assessment: Variable DG and Active Networks
TL;DR: In this paper, the authors proposed a multi-period AC optimal power flow (OPF)-based technique for evaluating the maximum capacity of new variable distributed generation able to be connected to a distribution network when ANM control strategies are in place.
Journal ArticleDOI
State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization
Andrew Keane,Luis F. Ochoa,Carmen L. T. Borges,Graham Ault,Arturo D. Alarcon-Rodriguez,Robert Currie,Fabrizio Giulio Luca Pilo,Chris Dent,Gareth Harrison +8 more
TL;DR: A critical review of the work in this field can be found in this paper, highlighting the barriers to implementation of the advanced techniques and highlighting why network operators have been slow to pick up on the research to date.
Journal ArticleDOI
Capacity Value of Wind Power
Andrew Keane,Michael Milligan,Chris Dent,B. Hasche,C. D'Annunzio,K Dragoon,Hannele Holttinen,Nader Samaan,Lennart Söder,Mark O'Malley +9 more
TL;DR: In this paper, a preferred method for calculation of the capacity value of wind is described and a discussion of the pertinent issues surrounding it is given, along with some new analysis, with relevant issues also given.
Proceedings ArticleDOI
Data analysis and robust modelling of the impact of renewable generation on long term security of supply and demand
TL;DR: In this paper, a robust joint time-dependent model of energy not served and continuous outage periods is proposed to model long-term reliability of demand and supply of electrical power given uncertain variability in the generation and availability of wind power and conventional generation.
Journal ArticleDOI
Enhanced Utilization of Voltage Control Resources With Distributed Generation
TL;DR: In this paper, a passive solution is proposed to reduce the impact on the transmission system voltages and overcome the distribution voltage rise barrier such that more distributed generation can connect, where the fixed power factors of the generators and the tap setting of the transmission transformer are determined by a linear programming formulation.