Predrag Djapic
Imperial College London
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Publication
Featured researches published by Predrag Djapic.
IEEE Power & Energy Magazine | 2007
Predrag Djapic; Charlotte Ramsay; Danny Pudjianto; Goran Strbac; Joseph Mutale; Nicholas Jenkins; R.N. Allan
The United Kingdom is leading Europe in its power market reforms and is currently engaged in addressing issues of DG integration through development of innovative approaches to network planning, operation, regulation, and pricing. This article draws on these recent advances to explore active management technologies, developing regulatory arrangements for network operation, and new commercial opportunities emerging from the low-carbon climate change agenda. It explores the changing role of the distribution system operator (DSO) in response to increasing penetration of DG and identifies the transitions currently taking place in the United Kingdom toward integration of DG that has wider implications for extrapolation across Europe.
IEEE Transactions on Smart Grid | 2014
Danny Pudjianto; Marko Aunedi; Predrag Djapic; Goran Strbac
Energy storage represents one of the key enabling technologies to facilitate an efficient system integration of intermittent renewable generation and electrified transport and heating demand. This paper presents a novel whole-systems approach to valuing the contribution of grid-scale electricity storage. This approach simultaneously optimizes investment into new generation, network and storage capacity, while minimising system operation cost, and also considering reserve and security requirements. Case studies on the system of Great Britain (GB) with high share of renewable generation demonstrate that energy storage can simultaneously bring benefits to several sectors, including generation, transmission and distribution, while supporting real-time system balancing. The analysis distinguishes between bulk and distributed storage applications, while also considering the competition against other technologies, such as flexible generation, interconnection and demand-side response.
ieee international conference on probabilistic methods applied to power systems | 2006
R.N. Allan; Predrag Djapic; Goran Strbac
The UK Government has set targets for renewable energy plant to be achieved by 2010, and by 2020. A significant proportion of this generation will be connected to distribution networks. One important technical issue is what contribution can this new generation make to distribution network security. Recently, a methodology for updating the existing security standard has been developed to account for the new generation technologies. This paper presents the main features of this methodology for assessing the security contribution from distributed generation, and describes numerical studies showing the effects of various parameters
2007 IEEE Power Engineering Society General Meeting | 2007
Danny Pudjianto; Manuel Castro; Predrag Djapic; B. Stojkovska; Goran Strbac; Ron Allan
In this paper we demonstrated that wind generation tends to drive less transmission investment than conventional generation. Two transmission planning approaches are analyzed in this paper focusing on the security and economics as being key drivers for investing in transmission. We demonstrated that it will not be appropriate to treat wind power as conventional generation in security assessments, as wind is a predominantly an energy source with relatively low capacity value. We also show that wind and conventional generation should share transmission capacity and hence avoid unnecessary and non optimal transmission network reinforcements. However, current approach to access and pricing does not support this efficient operation of the system.
IEEE Transactions on Power Systems | 2014
Chin Kim Gan; Danny Pudjianto; Predrag Djapic; Goran Strbac
This paper presents a methodology for assessing the performance of alternative design strategies for multivoltage-level distribution networks. The key feature of the proposed methodology is its ability to reproduce realistic network topologies and lengths, as calibrated against real distribution networks. Through year-round power flow analysis and optimization processes, the proposed approach allows comprehensive network studies to be carried out for the decision makers to investigate the sensitivity to different parameters and to draw more robust conclusions than those reached through a specific network study. The output metrics used for comparison of network performance are overall network cost, network losses, and reliability, which represent the three most crucial network performance indicators in network design. The validity of the developed models was demonstrated through the investigation of alternative distribution network design for a real medium voltage (MV) network in the U.K. This investigation includes quantitative performance evaluation and comparison between a four-voltage-levels design (e.g., 132 kV/33 kV/11 kV or 6.6 kV/0.4 kV) with three-voltage-levels network arrangements (e.g., 132 kV/11 kV/0.4 kV or 132 kV/20 kV/0.4 kV) and comparison between the peak demand-driven network design versus the optimal loss inclusive network design.
power and energy society general meeting | 2010
Danny Pudjianto; Chin Kim Gan; Vladimir Stanojevic; Marko Aunedi; Predrag Djapic; Goran Strbac
Continuous connection of Distributed Energy Resources (DER) technology on a “fit and forget” basis may lead to inefficiently low utilization of generation and network assets. In order to mitigate this effect, a reappraisal of the technical, regulatory, and commercial frameworks that shape decisions on future network design, investment, operation, and pricing are required. The transition of distribution network operation from passive to active would facilitate cost effective integration of DER and an efficient evolution towards a low carbon electricity system. In this context, this paper summarizes the results from a range of quantitative studies on the UK electricity system that have been carried out to assess the benefits of active management of distribution networks.
Electric Power Systems Research | 2007
J. A. Peças Lopes; Nikos Hatziargyriou; Joseph Mutale; Predrag Djapic; Nicholas Jenkins
Energy Policy | 2013
Danny Pudjianto; Predrag Djapic; Marko Aunedi; Chin Kim Gan; Goran Strbac; Sikai Huang; David Infield
Archive | 2010
Goran Strbac; Chin Kim Gan; Vladimir Stanojevic; Predrag Djapic; Pierluigi Mancarella; Adam Hawkes; Danny Pudjianto; Scott Le Vine; John Polak; Dave Openshaw; Steven Burns; Phil West; Dave Brogden; Alan Creighton; Alan Claxton
Iet Generation Transmission & Distribution | 2011
Márcio Castro; Danny Pudjianto; Predrag Djapic; Goran Strbac