Improved Regulatory Approaches for the Remuneration of Electricity Distribution Utilities with High Penetrations of Distributed Energy Resources

Under increasing penetration of distributed resources, regulators and electricity distribution utilities face greater uncertainty regarding the evolution of network uses and efficient system costs. This uncertainty can threaten revenue adequacy and challenges both cost of service/rate of return and incentive/performance-based approaches to the remuneration of distribution utilities. To address these challenges, this paper proposes a novel methodology to establish allowed utility revenues over a multi-year regulatory period. This method combines several "state of the art" regulatory tools designed to overcome information asymmetries, manage uncertainty, and align incentives for utilities to cost-effectively integrate distributed energy resources while taking advantage of opportunities to reduce system costs and improve performance. We use a reference network model to simulate a large-scale urban distribution network, demonstrate the practical application of this regulatory method, and illustrate its performance in the face of both benchmark and forecast errors.

[1]  The MIT Utility of the Future Study , 2015 .

[2]  R. Hakvoort,et al.  The economic effect of electricity net-metering with solar PV: Consequences for network cost recovery, cross subsidies and policy objectives , 2014 .

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

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

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

[6]  I. Pérez-Arriaga Economic Regulation of Electricity Distribution Utilities Under High Penetration of Distributed Energy Resources : Applying an Incentive Compatible Menu of Contracts , Reference Network Model and Uncertainty Mechanisms , 2014 .

[7]  Ignacio J. Pérez-Arriaga,et al.  A framework for redesigning distribution network use of system charges under high penetration of distributed energy resources: new principles for new problems , 2014 .

[8]  Rafael Cossent,et al.  Implementing incentive compatible menus of contracts to regulate electricity distribution investments , 2013 .

[9]  Maurizio Delfanti,et al.  Changing the regulation for regulating the change: Innovation-driven regulatory developments for smart grids, smart metering and e-mobility in Italy , 2013 .

[10]  Ilan Momber,et al.  PEV fleet scheduling with electricity market and grid signals Charging schedules with capacity pricing based on DSO's long run marginal cost , 2013, 2013 10th International Conference on the European Energy Market (EEM).

[11]  P. Denholm,et al.  Value of Energy Storage for Grid Applications , 2013 .

[12]  Rafael Cossent Arín,et al.  Economic regulation of distribution system operators and its adaptation to the penetration of distributed energy resources and smart grid technologies , 2013 .

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

[14]  Michel Luis Rivier Abbad,et al.  Regulatory framework and business models for charging plug-in electric vehicles: Infrastructure, agents, and commercial relationships , 2011 .

[15]  Dierk Bauknecht,et al.  Incentive Regulation and Network Innovations , 2011 .

[16]  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.

[17]  P Frías,et al.  Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks , 2011, IEEE Transactions on Power Systems.

[18]  David M. Hart,et al.  Unlocking Energy Innovation: How America Can Build a Low-Cost, Low-Carbon Energy System , 2011 .

[19]  Rafael Cossent,et al.  Mitigating the impact of distributed generation on distribution network costs through advanced response options , 2010, 2010 7th International Conference on the European Energy Market.

[20]  Rafael Cossent,et al.  Distribution planning with reliability options for distributed generation , 2010 .

[21]  Rafael Cossent,et al.  Towards a future with large penetration of distributed generation: Is the current regulation of electricity distribution ready? Regulatory recommendations under a European perspective , 2009 .

[22]  Tooraj Jamasb,et al.  Reference models and incentive regulation of electricity distribution networks : An evaluation of Sweden's Network Performance Assessment Model (NPAM) , 2008 .

[23]  K. Schisler,et al.  The role of demand response in ancillary services markets , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition.

[24]  Martin Crouch Investment under RPI-X: Practical experience with an incentive compatible approach in the GB electricity distribution sector , 2006 .

[25]  P. Joskow,et al.  Incentive Regulation in Theory and Practice: Electricity Distribution and Transmission Networks , 2005 .

[26]  P. Joskow Regulation of Natural Monopolies , 2005 .

[27]  Paul H. L. Nillesen,et al.  Strategic behaviour under regulatory benchmarking , 2004 .

[28]  Tooraj Jamasb,et al.  Gaming the Regulator: A Survey , 2003 .

[29]  M. Pollitt,et al.  Benchmarking and regulation: international electricity experience , 2000 .

[30]  J. Laffont,et al.  A Theory of Incentives in Procurement and Regulation , 1993 .

[31]  Richard Schmalensee,et al.  Good Regulatory Regimes , 1989 .

[32]  Jerome L. Stein,et al.  Behavior of the Firm Under Regulatory Constraint , 1972 .

[33]  Akira Takayama,et al.  Behavior of the Firm under Regulatory Constraint , 1969 .