Composite Reliability Assessment of Power Systems with Large Penetration of Renewable Sources

The constant increase in oil prices and the concern over the reduction of gas emissions causing the greenhouse effect favor the creation of policies to encourage the production of energy through renewable sources. The recent restructuring of the electricity sector has introduced new concepts such as power market, transmission open access, cogeneration, independent production, etc., which enabled the decentralized energy generation, strengthening such policies. Thus, non-conventional energy sources, namely wind power, mini-hydro, solar, and cogeneration (e.g., biomass), start having a significant contribution in the energy production matrix. However, if the volatility of the available capacity from such sources is not properly considered, the decisions taken in power systems expansion and/or operation planning can severely endanger the reliability of the power supply. Thus, systems planners and operators will require new computational tools capable of coping with these characteristics, in addition to the recent power system market implementation in a deregulated environment.

[1]  Roy Billinton,et al.  Reliability assessment of bulk electric systems containing large wind farms , 2007 .

[2]  Mohammad Shahidehpour,et al.  A probabilistic reliability evaluation of a power system including Solar/Photovoltaic cell generator , 2009, 2009 IEEE Power & Energy Society General Meeting.

[3]  Carmen L. T. Borges,et al.  Probabilistic generation and interruption costs and other economic aspects related to Distributed Generation integration , 2010, IEEE PES General Meeting.

[4]  Roy Billinton,et al.  Reliability evaluation of engineering systems : concepts and techniques , 1992 .

[5]  V. Miranda,et al.  Application of Monte Carlo simulation to generating system well-being analysis considering renewable sources , 2004, 2004 International Conference on Probabilistic Methods Applied to Power Systems.

[6]  Lingfeng Wang,et al.  Population-Based Intelligent Search in Reliability Evaluation of Generation Systems With Wind Power Penetration , 2008, IEEE Transactions on Power Systems.

[7]  Yi Ding,et al.  Long-Term Reserve Expansion of Power Systems With High Wind Power Penetration Using Universal Generating Function Methods , 2011, IEEE Transactions on Power Systems.

[8]  A. M. Leite da Silva,et al.  Dealing with intermittent generation in the long-term evaluation of system adequacy and operational reserve requirements in the Iberian peninsula , 2008 .

[9]  R. Billinton,et al.  Composite System Adequacy Assessment Incorporating Large-Scale Wind Energy Conversion Systems Considering Wind Speed Correlation , 2009, IEEE Transactions on Power Systems.

[10]  Mohammad Shahidehpour,et al.  The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee , 1999 .

[11]  João Peças Lopes,et al.  Probabilistic evaluation of reserve requirements of generating systems with renewable power sources: The Portuguese and Spanish cases , 2009 .

[12]  A.M.L. da Silva,et al.  Well-being analysis for composite generation and transmission systems , 2004, IEEE Transactions on Power Systems.

[13]  G. J. Anders,et al.  Chronological Power Flow for Planning Transmission Systems Considering Intermittent Sources , 2012, IEEE Transactions on Power Systems.

[14]  Hua Chen,et al.  A sequential simulation technique for adequacy evaluation of generating systems including wind energy , 1996 .

[15]  Wenyuan Li,et al.  Risk Assessment Of Power Systems: Models, Methods, and Applications , 2004 .

[16]  Wenyuan Li,et al.  Reliability Assessment of Electric Power Systems Using Monte Carlo Methods , 1994 .

[17]  Probability Subcommittee,et al.  IEEE Reliability Test System , 1979, IEEE Transactions on Power Apparatus and Systems.

[18]  N. J. Balu,et al.  Composite generation/transmission reliability evaluation , 1992, Proc. IEEE.

[19]  Roy Billinton,et al.  Pseudo-chronological simulation for composite reliability analysis with time varying loads , 2000 .

[20]  R. Billinton,et al.  Long-Term Probabilistic Evaluation of Operating Reserve Requirements With Renewable Sources , 2010, IEEE Transactions on Power Systems.

[21]  R. Billinton,et al.  Capacity Expansion of Small Isolated Power Systems Using PV and Wind Energy , 2001, IEEE Power Engineering Review.

[22]  Warlley S. Sales,et al.  Reliability assessment of time-dependent systems via quasi-sequential Monte Carlo simulation , 2010, 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems.

[23]  V. Miranda,et al.  Probabilistic Analysis for Maximizing the Grid Integration of Wind Power Generation , 2012, IEEE Transactions on Power Systems.

[24]  R. Billinton,et al.  Reliability-Based Transmission Reinforcement Planning Associated With Large-Scale Wind Farms , 2007, IEEE Transactions on Power Systems.

[25]  P. Jirutitijaroen,et al.  Latin Hypercube Sampling Techniques for Power Systems Reliability Analysis With Renewable Energy Sources , 2011, IEEE Transactions on Power Systems.

[26]  A.M.L. da Silva,et al.  Generating Capacity Reliability Evaluation Based on Monte Carlo Simulation and Cross-Entropy Methods , 2010, IEEE Transactions on Power Systems.

[27]  Armando M. Leite da Silva,et al.  Reliability Assessment of Time-Dependent Systems via Sequential Cross-Entropy Monte Carlo Simulation , 2011, IEEE Transactions on Power Systems.