221 results found
Carmichael R, Schofield J, Bilton M, et al., Dynamic pricing of electricity for wind-following?: Understanding demand-response and consumer engagement on the UK’s first trial of a dynamic time-of-use tariff for residential electricity, BEHAVE 2014 Conference
Fong G, Moreira R, Strbac G, Economic analysis of energy storage business models, 12th IEEE Power and Energy Society PowerTech Conference 2017, Publisher: IEEE
The increasingpenetration of renewable energy systems andtheelectrification of heat and transport sectors inthe UKhave created business opportunities for flexible technologies, such as battery energy storage (BES). However,BESinvestments arestill not well understood due to a wide range and debatable technology costs that may undermine itsbusiness case. In this context, aneconomic analysis will be established to assess the economic viability ofcurrent BESbusiness models, particularly associated with multiple service portfolios. Our model quantifies the net present values (NPVs) and payback periods of BES investments considering various business models and state-of-the-art BES technologies. We determine thecommercial viability associated with different BES technologies and business models. The developed model comparesdifferent technology costs, business models(i.e. portfolio ofservicesprovided)and BES lifetimes to perform a comprehensive economic analysis on the business case for investing in BES. Several case studies under current GBmarket arrangements demonstrate that BES investment associated with multi-service business modelsoffers the best financial benefits to storage investors and achieve payback periods within 10 years’ lifetime.
Green RJ, Strbac, Storage in the energy market, IEEE Power and Energy Society General Meeting 2015
Huyghues-Beaufond N, Jakeman A, Tindemans S, et al., Challenges in model and data merging for the implementation of a distribution network contingency analysis tool, CIRED 2017, Publisher: IET
The electricity network in the South East of England has become more challenging to manage both for the transmission and distribution network operators due to increased distributed generation (DG) connection and increased power flows on transmission interconnectors to and from continental Europe. UK Power Networks (UKPN), the distribution network operator (DNO), has trial led for the first time online contingency analysis on adistribution network in Great Britain. The Kent Active System Management (KASM) project aims to demonstrate the benefitsof using a Contingency Analysis System (CAS) forboth, operational and planning time frames.This paper describes challenges and the recommended approach toovercomedata exchange and data quality challenges whendevelopinga real-time power flow modelfrom existing datasets. It provides a real world example of dealing with data exchange and also highlightstheneed forTSO(Transmission System Operator)/DNO coordination
Huyghues-Beaufond N, Jakeman A, Tindemans S, et al., Enhancing distribution network visibility using contingency analysis tools, International Conference on Resilience of Transmission and Distribution Networks (RTDN 2017), Publisher: IET
The East Kentareain the South East of Englandis the goodexample of howthe uptake of distributed generation is changing the way electricitynetworks operate. This paper identifies the technical and operational challenges facing transmission and distribution networks in the East Kent area. It introducesthe Kent Active System Management (KASM)project, which develops anonline contingency analysis solution designed toassist UK Power Networks(UKPN)inmaximising asset utilisation while maintaining the network security.
Jamieson M, Strbac G, Tindemans S, et al., A simulation framework to analyse weather-induced faults, RTDN 2017: International Conference on Resilience of Transmission and Distribution Networks, Publisher: IET
A framework for simulating weather-induced dependent faults across networks is proposed and demonstrated on a truncated GB network representative of the Scottish and Northern English network. Different weather scenarios are simulated on the testnetworkconsidering location and wind-speed intensity, analysed using Monte-Carlo simulation.The sensitivity of the network toco-occurrence of faults is simulated by changing the sensitivity of network assets to windspeed via an exponential function. Greater sensitivity to wind speed inducesa significantincrease in outages, as reflected by risk metrics, specifically Expected Energy Not Served and Expected Maximum Load Shed.
Moreira R, Ollagnier L, Papadaskalopoulos D, et al., Optimal Multi-Service Business Models for Electric Vehicles, PowerTech 2017
Moreira R, Strbac G, Papadopoulos P, et al., Business Case in Support for Reactive Power Services from Distributed Energy Storage, CIRED 2017
Papadaskalopoulos, Ye Y, strbac, Exploring the Role of Demand Shifting in Oligopolistic Electricity Markets, 2017 IEEE Power & Energy Society General Meeting (GM)
Pudjianto D, Strbac G, Boyer D, Virtual power plant: managing synergies and conflicts between TSO and DSO control objectives, CIRED 24th International Conference on Electricity Distribution, Publisher: IET
In this paper, the implementationof Virtual Power Plantas a means to coordinate the use of distributed resources for different control objectives by TSO and DSO is described. In order to illustrate the concept, a range of illustrative studies demonstrating the application of VPP concept on a real11 kV system in Brixton will be presented, using data from the Low Carbon London project. The studies demonstrate thechanges in theoperating characteristics of the VPP area over a range of system operating conditions.
Rodrigues T, Moreira R, Strbac G, Coordinated operation of distributed energy storage in low carbon networks, 2017 IEEE PES General Meeting, Publisher: IEEE
Recent developments on climate change regulations are leading to significant changes in the electricity industry with volatility levels and uncertainty increasing significantly. As aresult, systemoperators are extending the procurement of flexibility to end-users and encourage more pro-active behaviors, including provision of system balancing services. In this context, this paper will investigate the potential flexibility and benefits that a coordinated operation of multiple households’ rooftop solar and energy storage can offer to the various sectors of the electricity market. The model will analyze the coordinated operation of multiple households and minimize the supply costs for the whole community while offering flexibility services to the system operator and provide peak demand reduction at the distribution network level. Fundamentally, the proposed model will consider the possibility of households to share energy resources in a peer-to-peer arrangement and thus minimize energy supply costs. In addition, the model also considers the provision of frequency response and reserve services and their associated revenues.Our results have shown significant cost savings can be achieved through a coordinated energy trading and consequently reduce energy transactions with suppliers. Provision offlexibility throughbalancing services becomes the major benefit to support the business case for coordinated operation of storagein low carbon communities.
Trovato V, Tindemans S, Strbac G, Understanding aggregate flexibility of thermostatically controlled loads, 12th IEEE Power and Energy Society PowerTech Conference 2017, Publisher: IEEE
Thermostatically controlled loads (TCLs) are an attractive source of responsive demand. This paper aims to provides a better understanding of the relation between thermal properties of TCLs and their suitability to provide energy arbitrage and frequency services. An approximate analysis on the basis of dimensionless parameters is used to visualise the relative abilities of eight classes of TCLs. The results are compared tothose obtained from a formal optimisation approach, in the context of a GB case study. Additional studies are performed to investigate the impact of increasingly flexible frequency servicesand physical variations ofTCL thermal models (thermal conductanceand temperature deadband).
Ye Y, Papadaskalopoulos, Moreira, et al., Strategic Capacity Withholding by Energy Storage in Electricity Markets, 12th IEEE PES PowerTech Conference
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
Fatouros P, Konstantelos I, Papadaskalopoulos D, et al., 2017, A stochastic dual dynamic programming approach for optimal operation of DER aggregators, IEEE PowerTech 2017, Publisher: IEEE
The operation of aggregators of distributed energy resources (DER) is a highly complex task that is affected by numerous factors of uncertainty such as renewables injections, load levels and market conditions. However, traditional stochastic programming approaches neglect information around temporal dependency of the uncertain variables due to computational tractability limitations. This paper proposes a novel stochastic dual dynamic programming (SDDP) approach for the optimal operation of a DER aggregator. The traditional SDDP framework is extended to capture temporal dependency of the uncertain wind power output, through the integration of an n-order autoregressive (AR) model. This method is demonstrated to achieve a better trade-off between solution efficiency and computational time requirements compared to traditional stochastic programming approaches based on the use of scenario trees.
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
Konstantelos I, Jamgotchian G, Tindemans SH, et al., 2017, Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids, IEEE TRANSACTIONS ON SMART GRID, Vol: 8, Pages: 1417-1426, ISSN: 1949-3053
Konstantelos I, Moreno R, Strbac G, 2017, Coordination and uncertainty in strategic network investment: Case on the North Seas Grid, Energy Economics, Vol: 64, Pages: 131-148, ISSN: 0140-9883
Konstantelos I, Moreno R, Strbac G, 2017, Coordination and uncertainty in strategic network investment: Case on the North Seas Grid, ENERGY ECONOMICS, Vol: 64, Pages: 131-148, ISSN: 0140-9883
Konstantelos I, Pudjianto D, Strbac G, et al., 2017, Integrated North Sea grids: The costs, the benefits and their distribution between countries, ENERGY POLICY, Vol: 101, Pages: 28-41, ISSN: 0301-4215
McKenna R, Djapic P, Weinand J, et al., 2017, Assessing the implications of socioeconomic diversity for low carbon technology uptake in electrical distribution networks, Applied Energy, ISSN: 0306-2619
© 2017 Elsevier Ltd. Adequately accounting for interactions between Low Carbon Technologies (LCTs) at the building level and the overarching energy system means capturing the granularity associated with decentralised heat and power supply in residential buildings. This paper combines dwelling/household archetypes (DHAs) combined with a mixed integer linear program to generate optimal (minimum cost) technology configurations and operation schedules for individual dwellings. These DHAs are scaled up to three socioeconomically differentiated neighbourhood clusters at the Output Area level in the UK. A synthetic distribution network generation and simulation assesses the required network upgrade costs for these clusters with different LCT penetration scenarios. Whilst the application here is to the United Kingdom (UK) setting, the method is largely based on freely available data and is therefore highly transferable to other contexts. The results show significant differences between the upgrade costs of the three analysed network types, and especially the semi-rural cluster has much higher costs. The employment of heat pumps together with photovoltaics (PV) has strong synergy effects, which can considerably reduce the network upgrade and carbon abatement costs if deployed in parallel. The determined CO 2 -abatement costs also suggest that decarbonisation measures with these two technologies should focus on semi-urban neighbourhoods due to the lower cost in comparison to the semi-rural case. This shows that such a socioeconomically differentiated approach to distribution network modelling can provide useful energy policy insights.
Moreira A, Strbac G, Moreno R, et al., 2017, A Five-Level MILP Model for Flexible Transmission Network Planning under Uncertainty: A Min-Max Regret Approach, IEEE Transactions on Power Systems, Pages: 1-1, ISSN: 0885-8950
Pipelzadeh Y, Moreno R, Chaudhuri B, et al., 2017, Corrective Control With Transient Assistive Measures: Value Assessment for Great Britain Transmission System, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 32, Pages: 1638-1650, ISSN: 0885-8950
Pudjianto D, Strbac G, 2017, Assessing the value and impact of demand side response using whole-system approach, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, Vol: 231, Pages: 498-507, ISSN: 0957-6509
Qadrdan M, Ameli H, Strbac G, et al., 2017, Efficacy of options to address balancing challenges: Integrated gas and electricity perspectives, APPLIED ENERGY, Vol: 190, Pages: 181-190, ISSN: 0306-2619
Strbac G, Aunedi M, Konstantelos I, et al., 2017, Opportunities for Energy Storage: Assessing Whole-System Economic Benefits of Energy Storage in Future Electricity Systems, IEEE Power and Energy Magazine, Vol: 15, Pages: 32-41, ISSN: 1540-7977
© 2003-2012 IEEE. Any Cost-effective transition toward low-carbon electricity supply will necessitate improved system flexibility to address the challenges of increased balancing requirements and degradation in asset use. Energy storage (ES) represents a flexible option that can bring significant, fundamental economic benefits to various areas in the electric power sector, including reduced investment requirements for generation, transmission, and distribution infrastructure as well as reduced system operation and balancing costs. The additional flexibility offered by ES could also significantly reduce the requirement for investment in low-carbon generation capacity while achieving the established carbon intensity targets. Moreover, ES may present significant option value, as it can provide flexibility for dealing with uncertainty in future system development.
Sun M, Konstantelos I, Strbac G, 2017, C-Vine Copula Mixture Model for Clustering of Residential Electrical Load Pattern Data, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 32, Pages: 2382-2393, ISSN: 0885-8950
Teng F, Mu Y, Jia H, et al., 2017, Challenges on primary frequency control and potential solution from EVs in the future GB electricity system, APPLIED ENERGY, Vol: 194, Pages: 353-362, ISSN: 0306-2619
Teng F, Strbac G, 2017, Full Stochastic Scheduling for Low-Carbon Electricity Systems, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, Vol: 14, Pages: 461-470, ISSN: 1545-5955
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