The effect of distributed electricity generation using natural gas on the electric and natural gas grids

The efficient and economical design and operation of individual small-scale distributed generation (DG) units has received considerable attention. It is now plausible to envision a future scenario where a large number of such units, spanning capacities from the kW to the MW scale, are deployed in a region. As distributed electricity generation using natural gas becomes more widespread, the dependency of the electric grid on the natural gas grid will increase. This concerns multiple interaction points along the two networks, and reaches beyond the natural gas demand of large-scale load following or baseload gas-fired powerplants. More specifically, a better understanding is required of the potential changes in the dynamic behavior and interaction of the electricity and natural gas grids at or close to residential use sites (neighborhoods), where the small-scale DG infrastructure is likely to be located. In this paper, an optimization-based framework is developed for analyzing the operation of an ensemble of small-scale natural gas fueled DG units, and quantify their ability to flatten the electric grid load (i.e., reduce the peak demand) of the neighborhood that they serve. Our analysis relies on realistic energy use data and takes into account capacity limitations of the current natural gas distribution infrastructure, centralized vs. decentralized control of the DG unit operation, equipment durability considerations, heating preferences of home users, and seasonal effects. There is a substantial increase in natural gas consumption near consumers for all scenarios considered, which has implications for the control of the natural gas grid. We demonstrate the importance of having a centralized decision-making scheme when multiple distributed generation resources are present, and make recommendations for the optimal sizing of generators.

[1]  Pedro J. Mago,et al.  A review on energy, economical, and environmental benefits of the use of CHP systems for small commercial buildings for the North American climate , 2009 .

[2]  Iain MacGill,et al.  Accelerating the global transformation to 21st century power systems , 2013 .

[3]  Hongjie Jia,et al.  Dynamic Modeling and Interaction of Hybrid Natural Gas and Electricity Supply System in Microgrid , 2015, IEEE Transactions on Power Systems.

[4]  Spyros Voutetakis,et al.  Optimum design and operation under uncertainty of power systems using renewable energy sources and hydrogen storage , 2010 .

[5]  Goran Strbac,et al.  Multi-time period combined gas and electricity network optimisation , 2008 .

[6]  M. Wolsink The research agenda on social acceptance of distributed generation in smart grids: Renewable as common pool resources , 2012 .

[7]  Sadegh Vaez-Zadeh,et al.  Optimal planning of energy hubs in interconnected energy systems: a case study for natural gas and electricity , 2015 .

[8]  Roger Z. Ríos-Mercado,et al.  Optimization problems in natural gas transportation systems. A state-of-the-art review , 2015 .

[9]  Girish Ghatikar,et al.  Smart Grid Standards and Systems Interoperability: A Precedent with OpenADR , 2011 .

[10]  Efstratios N. Pistikopoulos,et al.  Decentralized Multiparametric Model Predictive Control for Domestic Combined Heat and Power Systems , 2016 .

[11]  Sakti Prasad Ghoshal,et al.  Optimal sizing and placement of distributed generation in a network system , 2010 .

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

[13]  Sheng Li,et al.  Multi-objective optimal operation strategy study of micro-CCHP system , 2012, Energy.

[14]  Massimo Ceraolo,et al.  Control techniques of Dispersed Generators to improve the continuity of electricity supply , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[15]  Magdy M. A. Salama,et al.  Distributed generation technologies, definitions and benefits , 2004 .

[16]  Trieu Mai,et al.  Natural Gas Scenarios in the U.S. Power Sector , 2013 .

[17]  G. Joos,et al.  The potential of distributed generation to provide ancillary services , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[18]  Paulina J Aramillo,et al.  Comparative life-cycle air emissions of coal, domestic natural gas, LNG, and SNG for electricity generation. , 2007 .

[19]  Xu Rong,et al.  A review on distributed energy resources and MicroGrid , 2008 .

[20]  Aristide F. Massardo,et al.  Design and part-load performance of a hybrid system based on a solid oxide fuel cell reactor and a micro gas turbine , 2001 .

[21]  Kodjo Agbossou,et al.  Control analysis of renewable energy system with hydrogen storage for residential applications , 2006 .

[22]  Victor M. Zavala,et al.  Large-scale optimal control of interconnected natural gas and electrical transmission systems , 2016 .

[23]  B. Dunn,et al.  Electrical Energy Storage for the Grid: A Battery of Choices , 2011, Science.

[24]  Thomas J. Overbye,et al.  Visualizing the electric grid , 2001 .

[25]  Min Ouyang,et al.  Review on modeling and simulation of interdependent critical infrastructure systems , 2014, Reliab. Eng. Syst. Saf..

[26]  Michael Baldea,et al.  Temperature Control and Optimal Energy Management using Latent Energy Storage , 2013 .

[27]  R. Baldick,et al.  Transmission Planning Under Uncertainties of Wind and Load: Sequential Approximation Approach , 2013, IEEE Transactions on Power Systems.

[28]  D. Arent,et al.  Interactions, Complementarities and Tensions at the Nexus of Natural Gas and Renewable Energy , 2012 .

[29]  Michael E. Webber,et al.  Community-scale residential air conditioning control for effective grid management , 2014 .

[30]  Mohammad Shahidehpour,et al.  Coordinated scheduling of electricity and natural gas infrastructures with a transient model for natural gas flow. , 2011, Chaos.

[31]  M. Shahidehpour,et al.  Interdependency of Natural Gas Network and Power System Security , 2008, IEEE Transactions on Power Systems.

[32]  Young-Jin Kim,et al.  Cloud-based demand response for smart grid: Architecture and distributed algorithms , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[33]  Lawrence V. Snyder,et al.  Control Mechanisms for Residential Electricity Demand in SmartGrids , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[34]  Dheeraj Kumar Khatod,et al.  Optimal planning of distributed generation systems in distribution system: A review , 2012 .

[35]  M. Pipattanasomporn,et al.  Implications of on-site distributed generation for commercial/industrial facilities , 2005, IEEE Transactions on Power Systems.

[36]  H. Farhangi,et al.  The path of the smart grid , 2010, IEEE Power and Energy Magazine.

[37]  Prodromos Daoutidis,et al.  Understanding and predicting the impact of location and load on microgrid design , 2015 .

[38]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[39]  Michael Baldea,et al.  Integrating scheduling and control for economic MPC of buildings with energy storage , 2014 .

[40]  Na Li,et al.  Optimal demand response based on utility maximization in power networks , 2011, 2011 IEEE Power and Energy Society General Meeting.

[41]  Berna Dengiz,et al.  An integrated simulation model for analysing electricity and gas systems , 2014 .

[42]  Lennart Söder,et al.  Distributed generation : a definition , 2001 .

[43]  Victor M. Zavala,et al.  On-line economic optimization of energy systems using weather forecast information. , 2009 .

[44]  Mark C. Williams,et al.  U.S. distributed generation fuel cell program , 2004 .

[45]  Michael Baldea,et al.  Nonlinear model reduction and model predictive control of residential buildings with energy recovery , 2014 .

[46]  Thomas F. Edgar,et al.  Process energy systems: Control, economic, and sustainability objectives , 2012, Comput. Chem. Eng..

[47]  Réka Albert,et al.  Structural vulnerability of the North American power grid. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[48]  Efstratios N. Pistikopoulos,et al.  Energy production planning of a network of micro combined heat and power generators , 2013 .

[49]  Michael Baldea,et al.  Optimal operation of a residential district-level combined photovoltaic/natural gas power and cooling system , 2015 .

[50]  Massimiliano Manfren,et al.  Paradigm shift in urban energy systems through distributed generation: Methods and models , 2011 .

[51]  Thomas H. Bradley,et al.  Evaluation of Existing Customer-owned, On-site Distributed Generation Business Models , 2014 .

[52]  Neil Strachan,et al.  Emissions from distributed vs. centralized generation: the importance of system performance , 2006 .

[53]  Philip Haves,et al.  Model predictive control for the operation of building cooling systems , 2010, Proceedings of the 2010 American Control Conference.

[54]  Zaijun Wu,et al.  Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review , 2014 .

[55]  Greg A. Whyatt,et al.  The Case for Natural Gas Fueled Solid Oxide Fuel Cell Power Systems for Distributed Generation , 2015 .

[56]  Mohammed H. Albadi,et al.  Demand Response in Electricity Markets: An Overview , 2007, 2007 IEEE Power Engineering Society General Meeting.

[57]  D Mertens,et al.  Micro-CHP systems for residential applications , 2006 .

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

[59]  Angel A. Bayod-Rújula,et al.  Future development of the electricity systems with distributed generation , 2009 .

[60]  Todd Schatzki,et al.  The Interdependence of Electricity and Natural Gas: Current Factors and Future Prospects , 2012 .