The influence of distributed generation penetration levels on energy markets

Planning of national energy policies brings new dilemmas with the introduction of distributed generators (DG). Economic theory suggests that a perfectly competitive market would lead to efficient pricing. In the absence of competition, regulators play a fundamental role in attracting reasonably priced finance in order to maintain, refurbish and increase the infrastructure and provide services at a reasonable cost. Energy market price equilibrium is mainly dependent on suppliers, generators, energy sources and demand, represented by conventional utility grid users. Its behavior is similar to that of other commodities. As generation becomes less centralized with the increasing economic viability of renewable energy sources, new suppliers are being connected to the grid. Such evolution means the transition from a monopolistic market to a broader and more open environment, with an increasing number of competitors. We make use of variational inequalities to model a hypothetical DG market in different scenarios, from monopoly, to oligopoly, to open market. Such an approach enables different equilibrium outcomes due to different DG penetration levels. Based on these findings, we argue that energy policies for such markets must be developed according to each specific stage of the grid's lifecycle. We show how energy policies and market regulations may affect such a transition, which may be catastrophic if not managed properly, and which is dependent on the energy mix.

[1]  Miles Bidwell,et al.  Reliability Options: A Market-Oriented Approach to Long-Term Adequacy , 2005 .

[2]  T. Ackermann,et al.  Interaction between distributed generation and the distribution network: operation aspects , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[3]  Nirmal-Kumar C. Nair,et al.  Battery energy storage systems: Assessment for small-scale renewable energy integration , 2010 .

[4]  D. R. Bohi,et al.  An Update on Econometric Studies of Energy Demand , 1984 .

[5]  J. Nash NON-COOPERATIVE GAMES , 1951, Classics in Game Theory.

[6]  E. N. Dialynas,et al.  Impact of hybrid wind and hydroelectric power generation on the operational performance of isolated power systems , 2009 .

[7]  Jan Bentzen,et al.  Short- and long-run elasticities in energy demand: A cointegration approach , 1993 .

[8]  Dylan Dah-Chuan Lu,et al.  Battery-integrated boost converter utilizing distributed MPPT configuration for photovoltaic systems , 2011 .

[9]  Elasticidade renda e preço da demanda residencial de energia elétrica no Brasil , 1997 .

[10]  Iain MacGill,et al.  The potential impacts of grid-connected distributed generation and how to address them: A review of technical and non-technical factors , 2011 .

[11]  P. Cramton,et al.  A capacity market that makes sense , 2005, IEEE Power Engineering Society General Meeting, 2005.

[12]  Peter Meibom,et al.  Wind power impacts and electricity storage – A time scale perspective , 2012 .

[13]  Paul Denholm,et al.  Role of Energy Storage with Renewable Electricity Generation , 2010 .

[14]  Marcelo G. Molina,et al.  Stabilization and control of tie-line power flow of microgrid including wind generation by distributed energy storage , 2010 .

[15]  Hongyi Li,et al.  Estimation of Short-Run and Long-Run Elasticities of Energy Demand From Panel Data Using Shrinkage Estimators , 1997 .

[16]  Ricardo Rüther,et al.  The role of grid-connected, building-integrated photovoltaic generation in commercial building energy and power loads in a warm and sunny climate , 2010 .

[17]  O. Aberth A method for exact computation with rational numbers , 1978 .

[18]  Hung-po Chao,et al.  Efficient pricing and investment in electricity markets with intermittent resources , 2011 .

[19]  Nadarajah Mithulananthan,et al.  Optimal DG placement in deregulated electricity market , 2007 .

[20]  Ricardo Rüther,et al.  Power quality analysis of grid-connected solar photovoltaic generators in Brazil , 2012 .

[21]  M. Noor,et al.  Some aspects of variational inequalities , 1993 .

[22]  S. Sen,et al.  An analysis of capacity and price trajectories for the Ontario electricity market using dynamic Nash equilibrium under uncertainty , 2008 .

[23]  Ofir D. Rubin,et al.  A novel approach for modeling deregulated electricity markets , 2011 .

[24]  Anna Nagurney,et al.  Dynamic electric power supply chains and transportation networks: An evolutionary variational inequality formulation , 2007 .

[25]  Ricardo Rüther,et al.  The strategic siting and the roofing area requirements of building-integrated photovoltaic solar energy generators in urban areas in Brazil , 2008 .

[26]  Paulien M. Herder,et al.  Uncertainties in the design and operation of distributed energy resources: The case of micro-CHP systems , 2008 .

[27]  J. Nash Equilibrium Points in N-Person Games. , 1950, Proceedings of the National Academy of Sciences of the United States of America.

[28]  Balaji Rengarajan,et al.  Operation method study based on the energy balance of an independent microgrid using solar-powered w , 2011 .

[29]  A. Tsikalakis,et al.  Feed-in tariffs for promotion of energy storage technologies , 2011 .

[30]  Haozhong Cheng,et al.  Distribution network planning method considering distributed generation for peak cutting , 2010 .

[31]  Shin'ya Obara,et al.  Operation planning of an independent microgrid for cold regions by the distribution of fuel cells an , 2011 .

[32]  C. Schmidt,et al.  A demanda por energia elétrica no Brasil , 2004 .

[33]  Asher Tishler,et al.  Intermittently renewable energy, optimal capacity mix and prices in a deregulated electricity market , 2011 .

[34]  J. M. Griffin,et al.  Price Asymmetry In Energy Demand Models: A Proxy for Energy-Saving Technical Change? , 2005 .

[35]  Leonardo Meeus Why (and how) to regulate power exchanges in the EU market integration context , 2011 .

[36]  A. Nagurney Network Economics: A Variational Inequality Approach , 1992 .

[37]  G. Guthrie,et al.  Electricity Spot Price Dynamics: Beyond Financial Models , 2007 .

[38]  Zuo Sun,et al.  Advances on Distributed Generation Technology , 2012 .

[39]  Ricardo Rüther,et al.  Making the case for grid-connected photovoltaics in Brazil , 2011 .

[40]  R. Rüther,et al.  Economic performance and policies for grid-connected residential solar photovoltaic systems in Brazil , 2012 .

[41]  Iain MacGill,et al.  High penetration wind generation impacts on spot prices in the Australian national electricity market , 2011 .

[42]  Ricardo Rüther,et al.  Potential of building integrated photovoltaic solar energy generators in assisting daytime peaking feeders in urban areas in Brazil , 2008 .

[43]  P. Braun,et al.  Energetic contribution potential of building-integrated photovoltaics on airports in warm climates , 2009 .