Economic benefits of integrating Active Demand in distribution network planning: A Spanish case study

Abstract The recent advances in smart metering and communication technologies in electricity distribution networks could bring new opportunities to distribution system operators (DSOs). In particular, new forms of Active Demand (AD) could be developed to help DSOs to alleviate network congestions and decrease peak capacity requirements, which could in turn reduce or postpone the need for network reinforcements. This paper explores the mechanisms that would allow DSOs to incorporate AD procedures into their network planning strategies. A Reference Network Model (RNM) is used to quantify the potential economic benefits that AD could bring to distribution grids. The analysis is supported by a case study of two rural and urban areas of Spain, based on realistic large-scale exemplary networks and real consumption data.

[1]  Carlos Batlle,et al.  Electricity demand response tools: current status and outstanding issues 1 , 2009 .

[2]  Birgitte Bak-Jensen,et al.  Planning and optimization methods for active distribution systems , 2014 .

[3]  M. Parsa Moghaddam,et al.  An investigation on the impacts of regulatory support schemes on distributed energy resource expansion planning , 2013 .

[4]  S. Braithwait,et al.  Retail Electricity Pricing And Rate Design In Evolving Markets , 2007 .

[5]  Pavla Mandatova,et al.  NETWORK TARIFF STRUCTURE FOR A SMART ENERGY SYSTEM , 2014 .

[6]  Furong Li,et al.  Critical peak pricing tariff design for mass consumers in Great Britain , 2011, 2011 IEEE Power and Energy Society General Meeting.

[7]  Tooraj Jamasb,et al.  Distributed Generation Storage, Demand Response, and Energy Efficiency as Alternatives to Grid Capacity Enhancement , 2014 .

[8]  Marko Aunedi,et al.  Smart control for minimizing distribution network reinforcement cost due to electrification , 2013 .

[9]  A. Schroeder Modeling storage and demand management in power distribution grids , 2011 .

[10]  S. Martin,et al.  Demand-side management in smart grid operation considering electric vehicles load shifting and vehicle-to-grid support , 2015 .

[11]  Guillaume Pelton,et al.  RESIDENTIAL LOAD MANAGEMENT STRATEGY FOR LOCAL NETWORK OPTIMIZATION , 2014 .

[12]  Nico Keyaerts,et al.  Shift, not drift : towards active demand response and beyond , 2013 .

[13]  Rafael Cossent,et al.  Reference Network Models: A Computational Tool for Planning and Designing Large-Scale Smart Electricity Distribution Grids , 2013 .

[14]  Luis Gonzalez-Sotres,et al.  Large-Scale MV/LV Transformer Substation Planning Considering Network Costs and Flexible Area Decomposition , 2013, IEEE Transactions on Power Delivery.

[15]  Ignacio J. Pérez-Arriaga,et al.  From distribution networks to smart distribution systems: Rethinking the regulation of European electricity DSOs , 2014 .

[16]  Robert J. Procter Integrating Time-Differentiated Rates, Demand Response, and Smart Grid to Manage Power System Costs , 2013 .

[17]  Pierluigi Siano,et al.  Demand response and smart grids—A survey , 2014 .

[18]  Pedro Linares,et al.  The Economic Impact of Demand-Response Programs on Power Systems. A survey of the State of the Art , 2012 .

[19]  Pierluigi Mancarella,et al.  Distribution network reinforcement planning considering demand response support , 2014, 2014 Power Systems Computation Conference.

[20]  Carlos Mateo Domingo,et al.  A Reference Network Model for Large-Scale Distribution Planning With Automatic Street Map Generation , 2011, IEEE Transactions on Power Systems.

[21]  Fushuan Wen,et al.  Day-Ahead Congestion Management in Distribution Systems Through Household Demand Response and Distribution Congestion Prices , 2014, IEEE Transactions on Smart Grid.

[22]  Andrea Schröder,et al.  Modeling Storage and Demand Management in Electricity Distribution Grids , 2011 .

[23]  Karin Alvehag,et al.  Further exploring the potential of residential demand response programs in electricity distribution , 2014 .

[24]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[25]  Zita Vale,et al.  Demand response design and use based on network locational marginal prices , 2014 .

[26]  Christian Rehtanz,et al.  Effects of Demand Side Management on the planning and operation of distribution grids , 2010, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe).

[27]  Madeleine Gibescu,et al.  Scenario-based modelling of future residential electricity demands and assessing their impact on distribution grids , 2013 .

[28]  Lennart Söder,et al.  Distributed generation and distribution pricing : Why do we need new tariff design methodologies? , 2015 .