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Danny Pudjianto
Researcher at Imperial College London
Publications - 104
Citations - 3605
Danny Pudjianto is an academic researcher from Imperial College London. The author has contributed to research in topics: Distributed generation & Wind power. The author has an hindex of 24, co-authored 97 publications receiving 3064 citations. Previous affiliations of Danny Pudjianto include University of Chile & University of Manchester.
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Optimising the scheduling of spinning reserve considering the cost of interruptions
TL;DR: In this article, a new formulation of the unit commitment optimisation problem is proposed, where the value of the reserve is included in the objective function, and a method is developed for quick estimation of the expected energy not served of each combination of generating units considered during the optimisation process.
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Integrated North Sea grids: The costs, the benefits and their distribution between countries
Ioannis Konstantelos,Danny Pudjianto,Goran Strbac,Jan De Decker,Pieter Joseph,Aurore Flament,Paul Kreutzkamp,Fabio Genoese,Leif Rehfeldt,Anna-Kathrin Wallasch,Gerhard Gerdes,Muhammad Jafar,Yongtao Yang,Nicolaj Tidemand,J.C. Jansen,Frans Nieuwenhout,Adriaan van der Welle,Karina Veum +17 more
TL;DR: In this paper, the authors quantify costs and benefits of integrated projects and investigate to which extent the cost-benefit sharing mechanism between participating countries can impede or encourage the development of offshore wind farms and interconnectors.
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Review of wind generation within adequacy calculations and capacity markets for different power systems
Lennart Söder,Egill Tomasson,Ana Estanqueiro,Damian Flynn,Bri-Mathias Hodge,Juha Kiviluoma,Magnus Korpås,Emmanuel Neau,António Couto,Danny Pudjianto,Goran Strbac,Daniel J. Burke,Tomás Gómez,Kaushik Das,Nicolaos Antonio Cutululis,Dirk Van Hertem,Hanspeter Höschle,Julia Matevosyan,Serafin von Roon,Enrico Maria Carlini,Mauro Caprabianca,Laurens de Vries +21 more
TL;DR: In this paper, the authors present an overview of the adequacy challenge, how wind power is handled in the regulation of capacity adequacy, and how wind Power is treated in a selection of jurisdictions.
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Benefits of demand-side response in providing frequency response service in the future GB power system
TL;DR: In this article, the authors quantified the requirements for primary frequency response and analyzed the benefits of frequency response provision from DSR in the future GB electricity system due to high penetration of wind.
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Data-Driven Representative Day Selection for Investment Decisions: A Cost-Oriented Approach
TL;DR: A novel investment cost-oriented representative day selection framework for large scale multi-spacial investment problems, which performs clustering directly based on the investment decisions for each generation technology at each location associated with each individual day is proposed.