Operational optimization and demand response of hybrid renewable energy systems

This paper presents a methodology to systematically formulate a hybrid renewable energy system (HRES), which consists of solar, wind and diesel generator as a backup resource as well as battery storage, from the preliminary design stage to the optimal operation. Detailed modeling of each system component is introduced as the basis for the simulation study. System sizing considering energy flows is conducted to obtain the optimal combination of photovoltaic (PV) panels and wind turbines. Energy management strategies from both the demand-side and generation-side are developed to realize the objectives of meeting the electricity demand while minimizing the overall operating and environmental costs. Day-ahead and real-time weather forecasting, demand response and model updating are also integrated into the proposed methodology using a receding horizon optimization strategy. The method is demonstrated through an application to a single-family residential home.

[1]  Andreas Sumper,et al.  Experimental Validation of a Real-Time Energy Management System Using Multi-Period Gravitational Search Algorithm for Microgrids in Islanded Mode , 2014 .

[2]  D. P. Kothari,et al.  Dynamics of diesel and wind turbine generators on an isolated power system , 1999 .

[3]  Ignacio E. Grossmann,et al.  Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes , 2012, Comput. Chem. Eng..

[4]  Caisheng Wang,et al.  Power Management of a Stand-Alone Wind/Photovoltaic/Fuel Cell Energy System , 2008, IEEE Transactions on Energy Conversion.

[5]  Brian Vad Mathiesen,et al.  Energy system analysis of 100% renewable energy systems-The case of Denmark in years 2030 and 2050 , 2009 .

[6]  Onur Elma,et al.  A comparative sizing analysis of a renewable energy supplied stand-alone house considering both demand side and source side dynamics , 2012 .

[7]  Caisheng Wang,et al.  Modeling and control of hybrid wind/photovoltaic/fuel cell distributed generation systems , 2006 .

[8]  Panagiotis D. Christofides,et al.  Supervisory Predictive Control for Long-Term Scheduling of an Integrated Wind/Solar Energy Generation and Water Desalination System , 2012, IEEE Transactions on Control Systems Technology.

[9]  Gehan A. J. Amaratunga,et al.  Dynamic maximum power injection control of AC photovoltaic modules using current-mode control , 2006 .

[10]  Alemayehu Gebremedhin,et al.  Towards a flexible energy system – A case study for Inland Norway , 2014 .

[11]  Kashem M. Muttaqi,et al.  Assessment of energy supply and continuity of service in distribution network with renewable distributed generation , 2014 .

[12]  Panagiotis D. Christofides,et al.  A distributed control framework for smart grid development: Energy/water system optimal operation and electric grid integration , 2011 .

[13]  Mohammed H. Albadi,et al.  A summary of demand response in electricity markets , 2008 .

[14]  John Saintcross,et al.  THE EFFECTS OF INTEGRATING WIND POWER ON TRANSMISSION SYSTEM PLANNING, RELIABILITY, AND OPERATIONS , 2004 .

[15]  M. Milligan,et al.  Estimating the Economic Value of Wind Forecasting to Utilities , 1995 .

[16]  Seungho Lee,et al.  Hybrid simulation and optimization-based design and operation of integrated photovoltaic generation, storage units, and grid , 2011, Simul. Model. Pract. Theory.

[17]  Erkan Dursun,et al.  Comparative evaluation of different power management strategies of a stand-alone PV/Wind/PEMFC hybrid power system , 2012 .

[18]  Ignacio E. Grossmann,et al.  A model predictive control strategy for supply chain optimization , 2003, Comput. Chem. Eng..

[19]  Giri Venkataramanan,et al.  Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems , 1998 .

[20]  George Stavrakakis,et al.  A general simulation algorithm for the accurate assessment of isolated diesel-wind turbines systems interaction. I. A general multimachine power system model , 1995 .

[21]  Masoud Soroush,et al.  Process systems opportunities in power generation, storage and distribution , 2013, Comput. Chem. Eng..

[22]  William A. Beckman,et al.  Improvement and validation of a model for photovoltaic array performance , 2006 .

[23]  Hamed Mohsenian Rad,et al.  Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments , 2010, IEEE Transactions on Smart Grid.

[24]  Benjamin P. Omell,et al.  IGCC Power Plant Dispatch Using Infinite-Horizon Economic Model Predictive Control , 2013 .

[25]  Brian Vad Mathiesen,et al.  A review of computer tools for analysing the integration of renewable energy into various energy systems , 2010 .

[26]  M. Belhamel,et al.  Economic and technical study of a hybrid system (wind-photovoltaic-diesel) for rural electrification in Algeria , 2009 .

[27]  Varun,et al.  LCA of renewable energy for electricity generation systems—A review , 2009 .

[28]  R. Belmans,et al.  Impact of residential demand response on power system operation: A Belgian case study , 2014 .

[29]  Prashant Mhaskar,et al.  Predictive control methods to improve energy efficiency and reduce demand in buildings , 2013, Comput. Chem. Eng..

[30]  Jian Ma,et al.  Impact of wind and solar generation on the California ISO's intra-hour balancing needs , 2011, 2011 IEEE Power and Energy Society General Meeting.

[31]  Prabodh Bajpai,et al.  Hybrid renewable energy systems for power generation in stand-alone applications: A review , 2012 .

[32]  Michael Baldea,et al.  Nonlinear model predictive control of energy-integrated process systems , 2013, Syst. Control. Lett..

[33]  Marija D. Ilic,et al.  Model predictive economic/environmental dispatch of power systems with intermittent resources , 2009, 2009 IEEE Power & Energy Society General Meeting.

[34]  P. Seferlis,et al.  Power management strategies for a stand-alone power system using renewable energy sources and hydrogen storage , 2009 .

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

[36]  J. Beránek,et al.  The Efficient Use of an Imperfect Forecast , 1966 .

[37]  José L. Bernal-Agustín,et al.  Simulation and optimization of stand-alone hybrid renewable energy systems , 2009 .

[38]  Xianzhong Chen,et al.  Supervisory Predictive Control of Standalone Wind/Solar Energy Generation Systems , 2011, IEEE Transactions on Control Systems Technology.

[39]  Gianfranco Rizzo,et al.  Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage , 2012 .

[40]  Manfred Morari,et al.  Electrical load tracking scheduling of a steel plant , 2010, Comput. Chem. Eng..