Development of GB distribution networks with low carbon technologies and smart solutions: Methodology

Abstract This and the companion paper present key methodological and modelling aspects, as well as key findings and conclusions from the large-scale technical study into long-term development of future electricity distribution networks in Great Britain (GB) undertaken on behalf of all distribution utilities in GB. The objective is to apply traditional and smart solutions for development of diverse distribution networks with increased penetration of low carbon technologies (LCTs) and to assess their impact on the entire GB transmission system. This paper presents the applied methodological framework through system planning methods and principles, key features of the whole suite of undertaken steady-state and dynamic studies, and describes traditional and smart solutions for network development. A brief description of forecast energy scenarios and projections of LCT uptakes are then given in the companion paper. Results of the considered studies are presented for four large-scale real-life distribution networks covering all voltage levels and the integrated GB transmission-distribution system. These results are the basis for generalized conclusions, which give the answers to the key issues raised by the GB industry at the project initiation.

[1]  Nurulafiqah Nadzirah Mansor,et al.  Integrated Planning of Distribution Networks Considering Utility Planning Concepts , 2017, IEEE Transactions on Power Systems.

[2]  Mahmud Fotuhi-Firuzabad,et al.  Power Distribution Network Expansion Planning Considering Distribution Automation , 2015, IEEE Transactions on Power Systems.

[3]  Jeremy D. Watson,et al.  Harmonic performance of heat-pumps , 2013 .

[4]  Javier Contreras,et al.  Joint Distribution Network and Renewable Energy Expansion Planning Considering Demand Response and Energy Storage—Part I: Stochastic Programming Model , 2018, IEEE Transactions on Smart Grid.

[5]  Danny Pudjianto,et al.  Strategic Distribution Network Planning With Smart Grid Technologies , 2017, IEEE Transactions on Smart Grid.

[6]  Ariovaldo V. Garcia,et al.  A Constructive Heuristic Algorithm for Distribution System Planning , 2010, IEEE Transactions on Power Systems.

[7]  M. S. Sepasian,et al.  A Dynamic Approach for Distribution System Planning Considering Distributed Generation , 2012, IEEE Transactions on Power Delivery.

[8]  Sami Repo,et al.  Coordinated Voltage Control in Distribution Networks Including Several Distributed Energy Resources , 2014, IEEE Transactions on Smart Grid.

[9]  Luis F. Ochoa,et al.  Assessing the Potential of Network Reconfiguration to Improve Distributed Generation Hosting Capacity in Active Distribution Systems , 2015, IEEE Transactions on Power Systems.

[10]  Nikos D. Hatziargyriou,et al.  A review of power distribution planning in the modern power systems era: Models, methods and future research , 2015 .

[11]  Naoki Hayashi,et al.  Long-term distribution network expansion planning by network reconfiguration and generation of construction plans , 2003 .

[12]  M.M.A. Salama,et al.  An integrated distributed generation optimization model for distribution system planning , 2005, IEEE Transactions on Power Systems.

[13]  Nurulafiqah Nadzirah Mansor,et al.  Operational Planning of Distribution Networks Based on Utility Planning Concepts , 2019, IEEE Transactions on Power Systems.

[14]  Guido Carpinelli,et al.  Optimal Integration of Distributed Energy Storage Devices in Smart Grids , 2013, IEEE Transactions on Smart Grid.

[15]  Birgitte Bak-Jensen,et al.  Flexible Demand Control to Enhance the Dynamic Operation of Low Voltage Networks , 2015, IEEE Transactions on Smart Grid.

[16]  Milan S. Ćalović,et al.  A new decomposition based method for optimal expansion planning of large transmission networks , 1991 .

[17]  J.M. Nahman,et al.  Optimal Planning of Radial Distribution Networks by Simulated Annealing Technique , 2008, IEEE Transactions on Power Systems.

[18]  M. Rider,et al.  Imposing Radiality Constraints in Distribution System Optimization Problems , 2012 .

[19]  Marko Aunedi,et al.  Whole-Systems Assessment of the Value of Energy Storage in Low-Carbon Electricity Systems , 2014, IEEE Transactions on Smart Grid.

[20]  P. M. Anderson,et al.  A low-order system frequency response model , 1990 .

[21]  Ian M. Povey,et al.  Reverse power flow capability of tap-changers , 2005 .

[22]  Javier Contreras,et al.  Joint Distribution Network and Renewable Energy Expansion Planning Considering Demand Response and Energy Storage—Part II: Numerical Results , 2018, IEEE Transactions on Smart Grid.

[23]  L.S. Barreto,et al.  Multistage Model for Distribution Expansion Planning With Distributed Generation—Part I: Problem Formulation , 2008, IEEE Transactions on Power Delivery.

[24]  Nikos D. Hatziargyriou,et al.  Optimal Distributed Generation Placement in Power Distribution Networks : Models , Methods , and Future Research , 2013 .

[25]  Danny Pudjianto,et al.  Quantifying the Potential Economic Benefits of Flexible Industrial Demand in the European Power System , 2018, IEEE Transactions on Industrial Informatics.

[26]  Furong Li,et al.  Development of Low Voltage Network Templates—Part I: Substation Clustering and Classification , 2015, IEEE Transactions on Power Systems.

[28]  Else Veldman,et al.  Distribution Grid Impacts of Smart Electric Vehicle Charging From Different Perspectives , 2015, IEEE Transactions on Smart Grid.

[29]  Yi Tang,et al.  Aggregation Frequency Response Modeling for Wind Power Plants With Primary Frequency Regulation Service , 2019, IEEE Access.

[30]  Jose Roberto Sanches Mantovani,et al.  Multiobjective multistage distribution system planning using tabu search , 2014 .

[31]  S. Deckmann,et al.  Real-Time External Equivalents for Static Security Analysis , 1979, IEEE Transactions on Power Apparatus and Systems.

[32]  Pengfei Wang,et al.  Integrating Electrical Energy Storage Into Coordinated Voltage Control Schemes for Distribution Networks , 2014, IEEE Transactions on Smart Grid.

[33]  J. Contreras,et al.  Distribution System Planning With Reliability , 2011, IEEE Transactions on Power Delivery.

[34]  G. Harrison,et al.  DG Impact on Investment Deferral: Network Planning and Security of Supply , 2010, IEEE Transactions on Power Systems.

[35]  Andrew Keane,et al.  Firm and Non-Firm Wind Generation Planning Considering Distribution Network Sterilization , 2013, IEEE Transactions on Smart Grid.

[36]  Arindam Ghosh,et al.  Optimal distribution network reinforcement considering load growth, line loss and reliability , 2013, 2013 IEEE Power & Energy Society General Meeting.