Professor Goran Strbac

Papadaskalopoulos D, Strbac G, 2013, Decentralized Optimization of Flexible Loads Operation in Electricity Markets, IEEE Grenoble PowerTech (POWERTECH) Conference, Publisher: IEEE

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Strbac G, Aunedi M, Pudjianto D, Stanojevic Vet al., 2013, Smart Grid: Facilitating Cost-Effective Evolution to a Low-Carbon Future, TRANSITION TO RENEWABLE ENERGY SYSTEMS, Editors: Stolten, Scherer, Publisher: WILEY-V C H VERLAG GMBH, Pages: 741-771

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Martinez-Sanz I, Chaudhuri B, Strbac G, 2012, Impact of wind penetration and HVDC upgrades on stability of the GB transmission system

Several case studies are presented in this paper to better understand the impact of planned network changes on the dynamic stability of the future Great Britain transmission system. These studies have been conducted on a small network that is reasonably representative of the small signal stability problems present in the UK power system. The effect of wind penetration and HVDC links on the existing low frequency inter-area oscillations is analysed and interpreted for different possible future scenarios by observing the change of damping and frequency of this mode in response to these changes. © 2012 IEEE.

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• Citations: 2

Vasilakos C, Strbac G, Pudjianto D, Gammons S, Druce R, Moreno Ret al., 2012, European Transmission Tariff Harmonization: A Modeling Analysis, 9th International Conference on the European Energy Market EEM12

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Strbac G, Djapić P, Bopp T, Jenkins Net al., 2012, Benefits of Active Management of Distribution Systems, Wind Power in Power Systems, Second Edition, Pages: 935-950, ISBN: 9780470974162

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Manitsas E, Singh R, Pal BC, Strbac Get al., 2012, Distribution System State Estimation using an Artificial Neural Network Approach for Pseudo Measurement Modeling, IEEE Transactions on Power Systems, Vol: 27, Pages: 1888-1896-1896, ISSN: 0885-8950

This paper presents an alternative approach topseudo measurement modeling in the context of distributionsystem state estimation (DSSE). In the proposed approach pseudomeasurements are generated from a few real measurements usingartificial neural networks (ANNs) in conjunction with typicalload profiles. The error associated with the generated pseudomeasurements is made suitable for use in the weighted leastsquares (WLS) state estimation by decomposition into severalcomponents through the Gaussian mixture model (GMM). Theeffect of ANN-based pseudo measurement modeling on thequality of state estimation is demonstrated on a 95-bus sectionof the U.K. generic distribution system (UKGDS) model

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Sturt A, Strbac G, 2012, Value of stochastic reserve policies in low-carbon power systems, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, Vol: 226, Pages: 51-64, ISSN: 1748-006X

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• Citations: 3

Sturt A, Strbac G, 2012, Efficient Stochastic Scheduling for Simulation of Wind-Integrated Power Systems, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 27, Pages: 323-334, ISSN: 0885-8950

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• Citations: 89

Moreno R, Pudjianto D, Strbac G, 2012, Integrated reliability and cost-benefit-based standards for transmission network operation, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, Vol: 226, Pages: 75-87, ISSN: 1748-006X

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• Citations: 16

Silva V, Stanojevic V, Aunedi M, Pudjianto D, Strbac Get al., 2012, Smart domestic appliances as enabling technology for demand-side integration: Modelling, value and drivers, The Future of Electricity Demand: Customers, Citizens and Loads, Pages: 243-281, ISBN: 9781107008502

Introduction: Decarbonization of future electricity systems requires a significant proportion of electricity consumption to be supplied from nuclear, carbon capture and storage (CCS) plant and renewable sources. Since nuclear and CCS plant are less flexible than, for instance, natural gas-fired combined cycle plants, and renewable sources such as wind, solar and tidal are intermittent, this creates serious challenges to the way the current system is operated. In order to ensure that the system is capable of maintaining a supply and demand balance, the reduction in generation flexibility as a result of incorporating more low-carbon generation technologies has to be balanced with an increase in flexibility from demand. Consequently demand-side flexibility needs to be developed and smart domestic appliances can play an important role (IEA, 2008). In order to gain insight and understanding of the role and value of smart appliances, comprehensive studies of its economic value are required. Such analysis needs to consider relevant parameters such as consumers' behaviour and acceptance, appliance technology and future scenarios of power-system development regarding flexibility of generation and network capacity. This chapter presents a framework to assess the value of smart appliances, as flexible demand, to increase system flexibility and to provide new sources of ancillary services. The increased flexibility will improve system efficiency, reduce operating costs and carbon emissions, and increase utilization of renewable sources; from these benefits the value of smart appliances will be derived. However, any decrease in the value of energy services received as a result of, for instance, inconvenience caused by curtailment or rescheduling of consumption should, in theory, be deducted from such benefits. At the core of the framework is a model that simulates annual system operation, scheduling simultaneously generation and smart appliances, in order to minimize system oper

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• Citations: 2

Papadaskalopoulos D, Strbac G, 2012, Decentralized Participation of Electric Vehicles in Network-Constrained Market Operation, 3rd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies Europe (ISGT Europe), Publisher: IEEE, ISSN: 2165-4816

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• Citations: 1

Angeli D, de Paola A, Strbac G, 2012, Distributed frequency control by means of responsive wind generation, 51st IEEE Annual Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 5834-5839, ISSN: 0743-1546

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• Citations: 1

Gan CK, Low SY, Pudjianto D, Strbac Get al., 2012, Techno-economic appraisal of alternative distribution network design options, IEEE International Conference on Power and Energy (PECon), Publisher: IEEE, Pages: 829-833

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Terzija V, Cai D, Stanojevic V, Strbac Get al., 2011, Frequency and Power Components Estimation from Instantaneous Power Signal, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, Vol: 60, Pages: 3640-3649, ISSN: 0018-9456

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• Citations: 13

Sturt A, Strbac G, 2011, Time series modelling of power output for large-scale wind fleets, WIND ENERGY, Vol: 14, Pages: 953-966, ISSN: 1095-4244

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• Citations: 16

Castro M, Pudjianto D, Djapic P, Strbac Get al., 2011, Reliability-driven transmission investment in systems with wind generation, IET GENERATION TRANSMISSION & DISTRIBUTION, Vol: 5, Pages: 850-859, ISSN: 1751-8687

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• Citations: 5

Kondoh J, Shafiu A, Jenkins N, Pudjianto D, Strbac Get al., 2011, Investigation of Direct Load Management Scheme with Consideration of End-User Comfort, ELECTRICAL ENGINEERING IN JAPAN, Vol: 176, Pages: 19-28, ISSN: 0424-7760

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Gan CK, Mancarella P, Pudjianto D, Strbac Get al., 2011, Statistical appraisal of economic design strategies of LV distribution networks, ELECTRIC POWER SYSTEMS RESEARCH, Vol: 81, Pages: 1363-1372, ISSN: 0378-7796

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• Citations: 27

Howell SD, Duck PW, Hazel A, Johnson PV, Pinto H, Strbac G, Proudlove N, Black Met al., 2011, A partial differential equation system for modelling stochastic storage in physical systems with applications to wind power generation, IMA JOURNAL OF MANAGEMENT MATHEMATICS, Vol: 22, Pages: 231-252, ISSN: 1471-678X

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• Citations: 8

Took CC, Strbac G, Aihara K, Mandic DPet al., 2011, Quaternion-valued short-term joint forecasting of three-dimensional wind and atmospheric parameters, RENEWABLE ENERGY, Vol: 36, Pages: 1754-1760, ISSN: 0960-1481

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• Citations: 64

Schwaegerl C, Tao L, Mancarella P, Strbac Get al., 2011, A multi-objective optimization approach for assessment of technical, commercial and environmental performance of microgrids, EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, Vol: 21, Pages: 1271-1290, ISSN: 1430-144X

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• Citations: 27

Pudjianto D, Mancarella P, Gan CK, Strbac Get al., 2011, Closed loop price signal based market operation within Microgrids, EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, Vol: 21, Pages: 1310-1326, ISSN: 1430-144X

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• Citations: 8

Mancarella P, Gan CK, Strbac G, 2011, Optimal design of low-voltage distribution networks for CO₂ emission minimisation. Part II: Discrete optimisation of radial networks and comparison with alternative design strategies, IET GENERATION TRANSMISSION & DISTRIBUTION, Vol: 5, Pages: 47-56, ISSN: 1751-8687

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• Citations: 15

Mancarella P, Gan CK, Strbac G, 2011, Optimal design of low-voltage distribution networks for CO₂ emission minimisation. Part I: model formulation and circuit continuous optimisation, IET GENERATION TRANSMISSION & DISTRIBUTION, Vol: 5, Pages: 38-46, ISSN: 1751-8687

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• Citations: 12

Papadaskalopoulos D, Strbac G, 2011, Participation of Electric Vehicles in Electricity Markets through a Decentralized Mechanism, 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), Publisher: IEEE, ISSN: 2165-4816

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Singh R, Manitsas E, Pal BC, Strbac Get al., 2011, A Recursive Bayesian Approach for Identification of Network Configuration Changes in Distribution System State Estimation, General Meeting of the IEEE-Power-and-Energy-Society (PES), Publisher: IEEE, ISSN: 1944-9925

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• Citations: 1

Strbac G, Moreno R, Pudjianto D, Castro Met al., 2011, Towards a Risk-Based Network Operation and Design Standards, General Meeting of the IEEE-Power-and-Energy-Society (PES), Publisher: IEEE, ISSN: 1944-9925

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Kockar I, Papadaskalopoulos D, Strbac G, Pudjianto D, Galloway S, Burt Get al., 2011, Dynamic Pricing in Highly Distributed Power Systems of the Future, General Meeting of the IEEE-Power-and-Energy-Society (PES), Publisher: IEEE, ISSN: 1944-9925

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Moreno R, Pudjianto D, Strbac G, 2010, Future transmission network operation and design standards to support a low carbon electricity system

Increased connections of wind power in the Great Britain (GB) transmission system had triggered the need to review the fundamental principles behind the deterministic Great Britain Supply Quality and Security Standards (SQSS) that has been used for more than 5 decades. This review analyses the necessary upgrades to improve the efficiency of transmission system operation and capacity required to accommodate the present and future generation system. This paper in particular addresses a number of issues raised from the applications of deterministic SQSS and its operation and design efficiency concerning the best usage of N-k policy type. With respect to the United Kingdom (UK) transmission system operation, deterministic standards have been used to determine secure maximum levels of power transfers across a particular boundary. Our studies indicate that the deterministic standards are too conservative. This leads to over requirement of transmission capacity in planning timescales or significant constraints to access remote wind power in operational timescales. As an alternative, the use of an integrated reliability and cost-benefit framework to optimize the level of transmission system security has been developed. A wide range of studies have been carried out to analyze the benefits of this approach in the UK. The results indicate the need to move towards this integrated approach in order to maximize the value of transmission and to speed up the connections of wind power. ©2010 IEEE.

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• Citations: 13

Moreno R, Strbac G, Porrua F, Mocarquer S, Bezerra Bet al., 2010, Making Room for the Boom, IEEE POWER & ENERGY MAGAZINE, Vol: 8, Pages: 36-46, ISSN: 1540-7977

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• Citations: 18