Impact of Operational Flexibility on Electricity Generation Planning With Renewable and Carbon Targets

Recent work on operational flexibility-a power system's ability to respond to variations in demand and supply-has focused on the impact of large penetration of renewable generation on existing power systems. Operational flexibility is equally important for long-term capacity expansion planning. Future systems with larger shares of renewable generation, and/or carbon emission limits, will require flexible generation mixes; yet, flexibility is rarely fully considered in capacity planning models because of the computational demands of including mixed integer unit commitment within capacity expansion. We present a computationally efficient unit commitment/maintenance/capacity planning formulation that includes the critical operating constraints. An example of capacity planning for a Texas-like system in 2035 with hypothetical RPS and carbon policies shows how considering flexibility results in different capacity and energy mixes and emissions, and that the omission of flexibility can lead to a system that is unable to simultaneously meet demand, carbon, and RPS requirements.

[1]  Benjamin F. Hobbs,et al.  Optimization methods for electric utility resource planning , 1995 .

[2]  Damian Flynn,et al.  The role of power system flexibility in generation planning , 2011, 2011 IEEE Power and Energy Society General Meeting.

[3]  L. L. Garver,et al.  Computer Design of Single Area Generation Expansions , 1964 .

[4]  Oar,et al.  Emissions & Generation Resource Integrated Database (eGRID) , 2015 .

[5]  B. Hobbs,et al.  Optimal Generation Mix With Short-Term Demand Response and Wind Penetration , 2012, IEEE Transactions on Power Systems.

[6]  Bryan Palmintier,et al.  Impact of unit commitment constraints on generation expansion planning with renewables , 2011, 2011 IEEE Power and Energy Society General Meeting.

[7]  M. O'Malley,et al.  Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland , 2011, IEEE Transactions on Power Systems.

[8]  A. Conejo,et al.  Economic Valuation of Reserves in Power Systems With High Penetration of Wind Power , 2009 .

[9]  M. Anjos,et al.  Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem , 2012, IEEE Transactions on Power Systems.

[10]  I. Pérez-Arriaga,et al.  Markets vs. Regulation: A Role for Indicative Energy Planning , 2008 .

[11]  B. F. Hobbs,et al.  Commitment and Dispatch With Uncertain Wind Generation by Dynamic Programming , 2012, IEEE Transactions on Sustainable Energy.

[12]  D. Corbus,et al.  Eastern Wind Integration and Transmission Study -- Preliminary Findings: Preprint , 2009 .

[13]  Sergey Paltsev,et al.  The cost of climate policy in the United States , 2009 .

[14]  Chris Marnay,et al.  Issues in electricity planning with computer models: illustrations with Elfin and WASP , 1999 .

[15]  M. O'Malley,et al.  Accommodating Variability in Generation Planning , 2013, IEEE Transactions on Power Systems.

[16]  William D'haeseleer,et al.  Determining optimal electricity technology mix with high level of wind power penetration , 2011 .

[17]  S. K. Soonee,et al.  Flexibility in 21st Century Power Systems , 2014 .

[18]  Bryan Palmintier,et al.  Incorporating operational flexibility into electric generation planning : impacts and methods for system design and policy analysis , 2013 .

[19]  George F. List,et al.  General Algebraic Modeling System (GAMS) source code for port management , 2014 .

[20]  E. Ela,et al.  Wind Plant Ramping Behavior , 2009 .

[21]  B. Kirby,et al.  A Method and Case Study for Estimating The Ramping Capability of a Control Area or Balancing Authority and Implications for Moderate or High Wind Penetration , 2005 .

[22]  宮森 悠 ライブラリー Annual Energy Outlook 2000 , 2000 .

[23]  Bryan Palmintier,et al.  Flexibility in generation planning: Identifying key operating constraints , 2014, 2014 Power Systems Computation Conference.

[24]  Mark O'Malley,et al.  Impact of variable generation in generation resource planning models , 2010, IEEE PES General Meeting.

[25]  Bryan Palmintier,et al.  Heterogeneous unit clustering for efficient operational flexibility modeling , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[26]  Gilbert M. Masters,et al.  Renewable and Efficient Electric Power Systems , 2004 .

[27]  R. Belhomme,et al.  Evaluating and planning flexibility in sustainable power systems , 2013, 2013 IEEE Power & Energy Society General Meeting.

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

[29]  R. Gibrat,et al.  Application of Linear Programming to Investments in the Electric Power Industry , 1957 .

[30]  Michael Milligan,et al.  Operating Reserves and Variable Generation , 2011 .