Reliability Evaluation of Active Distribution Systems Including Microgrids

This paper proposes a new method for reliability evaluation of active distribution systems with multiple microgrids based on a Monte Carlo simulation. Multi-state models are developed on the basis of generalized capacity outage tables (GCOTs) to better represent various types of distributed generators in reliability evaluation. Then, the virtual power plant (VPP) is introduced to model microgrids with intermittent sources. Furthermore, the reliability behavior of VPP is efficiently characterized by an equivalent GCOT. The nonsequential Monte Carlo method is then adopted to evaluate the reliability of active distribution systems considering different operation modes under single or multiple contingencies. Some techniques-such as two-step state sampling, zone partitioning and minimal path search-are proposed to facilitate the state evaluation process and improve the Monte Carlo simulation speed. The effectiveness and efficiency of the proposed method are validated through extensive numerical tests on an IEEE test system and a real-life active distribution network.

[1]  Jin-O Kim,et al.  Reliability Evaluation of Customers in a Microgrid , 2008, IEEE Transactions on Power Systems.

[2]  M. Fotuhi-Firuzabad,et al.  An Analytical Method to Consider DG Impacts on Distribution System Reliability , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[3]  Y. Sun,et al.  Probabilistic Reliability Evaluation for Distribution Systems with DER and Microgrids , 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

[4]  Shouxiang Wang,et al.  Reliability-oriented distribution network reconfiguration considering uncertainties of data by interval analysis , 2012 .

[5]  S.P. Chowdhury,et al.  Reliability study of a micro-grid power system , 2008, 2008 43rd International Universities Power Engineering Conference.

[6]  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.

[7]  Furong Li,et al.  Evaluating the reliability of islanded microgrid in an emergency mode , 2010, 45th International Universities Power Engineering Conference UPEC2010.

[8]  Pedro Rodriguez,et al.  Optimization of an experimental hybrid microgrid operation: Reliability and economic issues , 2009, 2009 IEEE Bucharest PowerTech.

[9]  J. Mitra,et al.  Microgrid architecture: a reliability constrained approach , 2005, IEEE Power Engineering Society General Meeting, 2005.

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

[11]  Wenyuan Li,et al.  Boundary Analysis of Distribution Reliability and Economic Assessment , 2010, IEEE Transactions on Power Systems.

[12]  Roy Billinton,et al.  Reliability evaluation of power systems , 1984 .

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

[14]  Roy Billinton,et al.  A test system for teaching overall power system reliability assessment , 1996 .

[15]  Ashoke Kumar Basu,et al.  Impact of Strategic Deployment of CHP-Based DERs on Microgrid Reliability , 2010, IEEE Transactions on Power Delivery.

[16]  Yang Wang,et al.  Reliability Evaluation of Grid-Connected Photovoltaic Power Systems , 2012, IEEE Transactions on Sustainable Energy.

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

[18]  Robert Lasseter,et al.  Smart Distribution: Coupled Microgrids , 2011, Proceedings of the IEEE.

[19]  A Kwasinski,et al.  Quantitative Evaluation of DC Microgrids Availability: Effects of System Architecture and Converter Topology Design Choices , 2011, IEEE Transactions on Power Electronics.