Imperial College London

Professor Goran Strbac

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Chair in Electrical Energy Systems
 
 
 
//

Contact

 

+44 (0)20 7594 6169g.strbac

 
 
//

Assistant

 

Miss Guler Eroglu +44 (0)20 7594 6170

 
//

Location

 

1101Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Publication Type
Year
to

257 results found

De Paola A, Angeli D, Strbac G, 2018, Integration of Price-Responsive Appliances in the Energy Market Through Flexible Demand Saturation, IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, Vol: 5, Pages: 154-166, ISSN: 2325-5870

JOURNAL ARTICLE

De Paola A, Angeli D, Strbac G, 2018, Distributed schemes for efficient deployment of price-responsive demand with partial flexibility, Journal of Control and Decision, Vol: 5, Pages: 169-194, ISSN: 2330-7706

© 2017, © 2017 Northeastern University, China. This paper presents novel methodologies for efficient deployment of flexible demand. Large populations of price-responsive loads are coordinated through a price signal and a power constraint broadcast by a central entity. Such quantities are designed in order to minimise a global objective function (e.g. total generation costs) and ensure a one-step convergence to a stable solution, characterised as a Nash equilibrium. Conditions for the sought equilibrium are preliminarily expressed as monotonicity of demand profiles under reordered coordinates and then they are imposed as constraints of a global optimisation, whose solution is calculated numerically. To reduce the computational complexity of the problem in scenarios with high penetration of flexible demand, clustering of the appliances is introduced. The global properties of the final stable solution and its optimality with respect to the task times of the appliances are analysed both theoretically and through simulation results.

JOURNAL ARTICLE

De Paola A, Papadaskalopoulos D, Angeli D, Strbac Get al., 2018, Investigating the Social Efficiency of Merchant Transmission Planning Through a Non-cooperative Game-Theoretic Framework, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 33, Pages: 4831-4841, ISSN: 0885-8950

JOURNAL ARTICLE

Falugi P, Konstantelos I, Strbac G, 2018, Planning With Multiple Transmission and Storage Investment Options Under Uncertainty: A Nested Decomposition Approach, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 33, Pages: 3559-3572, ISSN: 0885-8950

JOURNAL ARTICLE

Giannelos S, Konstantelos I, Strbac G, 2018, Option Value of Demand-Side Response Schemes Under Decision-Dependent Uncertainty, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 33, Pages: 5103-5113, ISSN: 0885-8950

JOURNAL ARTICLE

Konstantelos I, Strbac G, 2018, Capacity value of energy storage in distribution networks, JOURNAL OF ENERGY STORAGE, Vol: 18, Pages: 389-401, ISSN: 2352-152X

JOURNAL ARTICLE

McKenna R, Djapic P, Weinand J, Fichtner W, Strbac Get al., 2018, Assessing the implications of socioeconomic diversity for low carbon technology uptake in electrical distribution networks, APPLIED ENERGY, Vol: 210, Pages: 856-869, ISSN: 0306-2619

JOURNAL ARTICLE

Moreira A, Fanzeres B, Strbac G, 2018, Energy and reserve scheduling under ambiguity on renewable probability distribution, ELECTRIC POWER SYSTEMS RESEARCH, Vol: 160, Pages: 205-218, ISSN: 0378-7796

JOURNAL ARTICLE

Moreira A, Strbac G, Moreno R, Street A, Konstantelos Iet al., 2018, A Five-Level MILP Model for Flexible Transmission Network Planning Under Uncertainty: A Min-Max Regret Approach, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 33, Pages: 486-501, ISSN: 0885-8950

JOURNAL ARTICLE

Papadaskalopoulos D, Moreira R, Strbac G, Pudjianto D, Djapic P, Teng F, Papapetrou Met al., 2018, Quantifying the Potential Economic Benefits of Flexible Industrial Demand in the European Power System, IEEE Transactions on Industrial Informatics, ISSN: 1551-3203

IEEE The envisaged decarbonization of the European power system introduces complex techno-economic challenges to its operation and development. Demand flexibility can significantly contribute in addressing these challenges and enable a cost-effective transition to the low-carbon future. Although extensive previous work has analyzed the impacts of residential and commercial demand flexibility, the respective potential of the industrial sector has not yet been thoroughly investigated despite its large size. This paper presents a novel, whole-system modeling framework to comprehensively quantify the potential economic benefits of flexible industrial demand (FID) for the European power system. This framework considers generation, transmission and distribution sectors of the system, and determines the least-cost long-term investment and short-term operation decisions. FID is represented through a generic, process-agnostic model, which however accounts for fixed energy requirements and load recovery effects associated with industrial processes. The numerical studies demonstrate multiple significant value streams of FID in Europe, including capital cost savings by avoiding investments in additional generation and transmission capacity and distribution reinforcements, as well as operating cost savings by enabling higher utilization of renewable generation sources and providing balancing services.

JOURNAL ARTICLE

Rodrigues T, Ramirez PJ, Strbac G, 2018, Risk-averse bidding of energy and spinning reserve by wind farms with on-site energy storage, IET RENEWABLE POWER GENERATION, Vol: 12, Pages: 165-173, ISSN: 1752-1416

JOURNAL ARTICLE

Sun M, Cremer J, Strbac G, 2018, A novel data-driven scenario generation framework for transmission expansion planning with high renewable energy penetration, Applied Energy, Vol: 228, Pages: 546-555, ISSN: 0306-2619

© 2018 Elsevier Ltd Transmission expansion planning (TEP) is facing unprecedented challenges with the rise of integrated renewable energy resources (RES), flexible load elements, and the potential electrification of transport and heat sectors. Under this reality, the inadequate information of the stochastic parameters’ behavior may lead to inefficient expansion decisions, especially in the context of very high renewable penetration. This paper proposes a novel data-driven scenario generation framework for the TEP problem to generate unseen but important load and wind power scenarios while capturing inter-spatial dependencies between loads and wind generation units’ output in various locations, using a vine-copula based high-dimensional stochastic variable modeling approach. The superior performance of the proposed model is demonstrated through a case study on a modified IEEE 118-bus system. The expected result of using the expected value problem solution (EEV) and the net benefits of transmission expansion (NBTE) are used as the evaluation metrics to quantitatively illustrate the advantages of the proposed approach. In addition, the case of very high wind penetration is carried out to further highlight the importance of the multivariate stochastic dependence of load and wind power generation. The results demonstrate that the proposed scenario generation method can result in near-optimal investment decisions for the TEP problem that make more net benefits than using limited number of historical data.

JOURNAL ARTICLE

Sun M, Teng F, Konstantelos I, Strbac Get al., 2018, An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources, ENERGY, Vol: 145, Pages: 871-885, ISSN: 0360-5442

JOURNAL ARTICLE

Teng F, Dupin R, Michiorri A, Kariniotakis G, Chen Y, Strbac Get al., 2018, Understanding the Benefits of Dynamic Line Rating Under Multiple Sources of Uncertainty, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 33, Pages: 3306-3314, ISSN: 0885-8950

JOURNAL ARTICLE

Teng F, Pudjianto D, Aunedi M, Strbac Get al., 2018, Assessment of Future Whole-System Value of Large-Scale Pumped Storage Plants in Europe, ENERGIES, Vol: 11, ISSN: 1996-1073

JOURNAL ARTICLE

Trovato V, Teng F, Strbac G, 2018, Role and Benefits of Flexible Thermostatically Controlled Loads in Future Low-Carbon Systems, IEEE TRANSACTIONS ON SMART GRID, Vol: 9, Pages: 5067-5079, ISSN: 1949-3053

JOURNAL ARTICLE

Ye Y, Papadaskalopoulos D, Strbac G, 2018, Investigating the Ability of Demand Shifting to Mitigate Electricity Producers' Market Power, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 33, Pages: 3800-3811, ISSN: 0885-8950

JOURNAL ARTICLE

Ameli H, Abbasi E, Ameli MT, Strbac Get al., 2017, A fuzzy-logic-based control methodology for secure operation of a microgrid in interconnected and isolated modes, INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, Vol: 27, ISSN: 2050-7038

JOURNAL ARTICLE

Ameli H, Qadrdan M, Strbac G, 2017, Value of gas network infrastructure flexibility in supporting cost effective operation of power systems, APPLIED ENERGY, Vol: 202, Pages: 571-580, ISSN: 0306-2619

JOURNAL ARTICLE

Chilvers J, Foxon TJ, Galloway S, Hammond GP, Infield D, Leach M, Pearson PJG, Strachan N, Strbac G, Thomson Met al., 2017, Realising transition pathways for a more electric, low-carbon energy system in the United Kingdom: Challenges, insights and opportunities, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, Vol: 231, Pages: 440-477, ISSN: 0957-6509

JOURNAL ARTICLE

De Paola A, Angeli D, Strbac G, 2017, Price-Based Schemes for Distributed Coordination of Flexible Demand in the Electricity Market, IEEE TRANSACTIONS ON SMART GRID, Vol: 8, Pages: 3104-3116, ISSN: 1949-3053

JOURNAL ARTICLE

De Paola A, Angeli D, Strbac G, 2017, A Semi-Decentralized Scheme for Integration of Price-Responsive Appliances in the Electricity Market, 20th World Congress of the International-Federation-of-Automatic-Control (IFAC), Publisher: ELSEVIER SCIENCE BV, Pages: 6729-6736, ISSN: 2405-8963

CONFERENCE PAPER

De Paola A, Angeli D, Strbac G, 2017, Convergence and optimality of a new iterative price-based scheme for distributed coordination of flexible loads in the electricity market, IEEE 56th Annual Conference on Decision and Control (CDC), Publisher: IEEE, ISSN: 0743-1546

CONFERENCE PAPER

De Paola A, Angeli D, Strbac G, 2017, On Distributed Scheduling of Flexible Demand and Nash Equilibria in the Electricity Market, Dynamic Games and Applications, ISSN: 2153-0785

JOURNAL ARTICLE

Fatouros P, Konstantelos I, Papadaskalopoulos D, Strbac Get al., 2017, A Stochastic Dual Dynamic Programming Approach for Optimal Operation of DER Aggregators, IEEE Manchester PowerTech, Publisher: IEEE

CONFERENCE PAPER

Fatouros P, Konstantelos I, Papadaskalopoulos D, Strbac Get al., 2017, Stochastic Dual Dynamic Programming for Operation of DER Aggregators under Multidimensional Uncertainty, IEEE Transactions on Sustainable Energy, Pages: 1-1, ISSN: 1949-3029

JOURNAL ARTICLE

Fong G, Moreira R, Strbac G, 2017, Economic Analysis of Energy Storage Business Models, IEEE Manchester PowerTech, Publisher: IEEE

CONFERENCE PAPER

Giannelos S, Konstantelos I, Strbac G, 2017, A New Class of Planning Models for Option Valuation of Storage Technologies under Decision-Dependent Innovation Uncertainty, Publisher: IEEE

WORKING PAPER

Kiviluoma J, Heinen S, Qazi H, Madsen H, Strbac G, Kang C, Zhang N, Patteeuw D, Naegler Tet al., 2017, Harnessing Flexibility from Hot and Cold, IEEE POWER & ENERGY MAGAZINE, Vol: 15, Pages: 25-33, ISSN: 1540-7977

JOURNAL ARTICLE

Konstantelos I, Giannelos S, Strbac G, 2017, Strategic Valuation of Smart Grid Technology Options in Distribution Networks, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 32, Pages: 1293-1303, ISSN: 0885-8950

JOURNAL ARTICLE

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-html.jsp Request URI: /respub/WEB-INF/jsp/search-html.jsp Query String: respub-action=search.html&id=00153177&limit=30&person=true