Adequacy Evaluation of Distribution System Including Wind/Solar DG During Different Modes of Operation

Keen interest in the development and utilization of renewable distributed generation (DG) has been currently observed worldwide. The reliability impact of this highly variable energy source is an important aspect that needs to be assessed as renewable power penetration becomes increasingly significant. Distribution system adequacy assessment including wind-based and solar DG units during different modes of operation is described in this paper. Monte Carlo simulation (MCS) and analytical technique are used in this work with a novel utilization of the clearness index probability density function (pdf) to model the solar irradiance using MCS. The results show that there is no significant difference between the outcomes of the two proposed techniques; however, MCS requires much longer computational time. The effect of islanding appears in the improvement of the loss of load expectation (LOLE) and loss of energy expectation (LOEE).

[1]  J. Kibbel,et al.  Lane estimation and departure warning using multilayer laserscanner , 2005, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005..

[2]  K. Hollands,et al.  A probability density function for the clearness index, with applications , 1983 .

[3]  David C. Yu,et al.  An Economic Dispatch Model Incorporating Wind Power , 2008, IEEE Transactions on Energy Conversion.

[4]  Sanford Klein,et al.  Loss-of-load probabilities for stand-alone photovoltaic systems , 1987 .

[5]  R. Billinton,et al.  Reliability/Cost Implications of PV and Wind Energy Utilization in Small Isolated Power Systems , 2001, IEEE Power Engineering Review.

[6]  S. Roy Market Constrained Optimal Planning for Wind Energy Conversion Systems over Multiple Installation Sites , 2002, IEEE Power Engineering Review.

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

[8]  E.F. El-Saadany,et al.  Supply Adequacy Assessment of Distribution System Including Wind-Based DG During Different Modes of Operation , 2010, IEEE Transactions on Power Systems.

[9]  R. Ramakumar,et al.  Reliability analysis of combined wind-electric and conventional generation systems , 1982 .

[10]  Roy Billinton,et al.  Reliability/cost implications of utilizing photovoltaics in small isolated power systems , 2003, Reliab. Eng. Syst. Saf..

[11]  J. Orgill,et al.  Correlation equation for hourly diffuse radiation on a horizontal surface , 1976 .

[12]  G. Desrochers,et al.  A Monte-Carlo Simulation Method for the Economic Assessment of the Contribution of Wind Energy to Power Systems , 1986, IEEE Transactions on Energy Conversion.

[13]  Roy Billinton,et al.  A sequential simulation method for the generating capacity adequacy evaluation of small stand-alone wind energy conversion systems , 2002, IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373).

[14]  Louis L. Bucciarelli,et al.  Estimating loss-of-power probabilities of stand-alone photovoltaic solar energy systems , 1984 .

[15]  C. G. Justus,et al.  Winds and wind system performance , 1978 .

[16]  G. Destouni,et al.  Renewable Energy , 2010, AMBIO.

[17]  R. E. Shafer,et al.  Solution of the transcendental equation , 1973 .

[18]  Xifan Wang,et al.  An Efficient Approach to the Optimal Static Geneeration Mix Problem , 1984, IEEE Transactions on Power Apparatus and Systems.

[19]  F. Fritsch,et al.  Solution of the transcendental equation wew = x , 1973, CACM.

[20]  Salvina Gagliano,et al.  Hybrid solar/wind power system probabilistic modelling for long-term performance assessment , 2006 .

[21]  Chanan Singh,et al.  An efficient technique for reliability analysis of power systems including time dependent sources , 1988 .

[22]  R. Billinton,et al.  Cost-effective wind energy utilization for reliable power supply , 2004, IEEE Transactions on Energy Conversion.

[23]  D. Das,et al.  Impact of Network Reconfiguration on Loss Allocation of Radial Distribution Systems , 2007, IEEE Transactions on Power Delivery.

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

[25]  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 .

[26]  G. Tiwari,et al.  Renewable Energy Resources: Basic Principles and Applications , 2005 .

[27]  V. G. Rau,et al.  Site matching of wind turbine generators: a case study , 1999 .

[28]  Ajeet Rohatgi,et al.  Recloser allocation for improved reliability of DG-enhanced distribution networks , 2006 .

[29]  A. Braunstein,et al.  The Loss of Power Supply Probability as a Technique for Designing Stand-Alone Solar Electrical (Photovoltaic) Systems , 1983, IEEE Transactions on Power Apparatus and Systems.

[30]  Roy Billinton,et al.  Maintaining supply reliability of small isolated power systems using renewable energy , 2001 .

[31]  Saifur Rahman,et al.  A Probabilistic Approach to Photovoltaic Generator Performance Prediction , 1986, IEEE Transactions on Energy Conversion.

[32]  Roy Billinton,et al.  Generating capacity adequacy evaluation of small stand-alone power systems containing solar energy , 2006, Reliab. Eng. Syst. Saf..

[33]  R. Billinton,et al.  Wind power modeling and application in generating adequacy assessment , 1993, IEEE WESCANEX 93 Communications, Computers and Power in the Modern Environment - Conference Proceedings.

[34]  Sture Lindahl,et al.  Distribution System Component Failure Rates and Repair Times - An Overview , 2004 .

[35]  Roy Billinton,et al.  Reliability evaluation of small stand-alone wind energy conversion systems using a time series simulation model , 2003 .

[36]  Louis L. Bucciarelli The effect of day-to-day correlation in solar radiation on the probability of loss-of-power in a stand-alone photovoltaic energy system , 1986 .

[37]  C. Singh,et al.  Reliability Modeling of Generation Systems Including Unconventional Energy Sources , 1985, IEEE Transactions on Power Apparatus and Systems.

[38]  Michael Laughton Renewable Energy Resources , 2018, Energy Processing and Smart Grid.

[39]  S. Conti,et al.  Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators , 2007 .