Assessment Method and Indexes of Operating States Classification for Distribution System With Distributed Generations

Self-healing is a key characteristic and goal of smart grid, which is based on the classification of the operating states of the power system. With views to the differences between the distribution and transmission system in terms of the operation model and structural features, an essential difference can appear in the classification of operating states between these two systems. According to the characteristics of distribution system with distributed generations (DGs), a new method based on hierarchical classification is proposed to classify the operating states of distribution system with DGs. In this method, several important performances reflecting the operating conditions of distribution system are regarded as critical attributes, including external stability, reliability, integrity, and economy. Moreover, different transition paths and control targets in different states are proposed to demonstrate the effectiveness of the classification method, which aim at the safety and reliability of the distribution system operation. Finally, a control strategy based on state classification is presented to support the decision-making for the self-healing distribution system. A case study demonstrates the feasibility and effectiveness of the classification method for the operating states of distribution system.

[1]  Zechun Hu,et al.  Cost-Benefit Analyses of Active Distribution Network Management, Part I: Annual Benefit Analysis , 2012, IEEE Transactions on Smart Grid.

[2]  Dong Yuxiang Service Restoration Strategy for the Distribution System with DGs , 2007 .

[3]  Seon-Ju Ahn,et al.  Operation Schemes of Smart Distribution Networks With Distributed Energy Resources for Loss Reduction and Service Restoration , 2013, IEEE Transactions on Smart Grid.

[4]  Siobhán Clarke,et al.  Dynamic forecasting and adaptation for demand optimization in the Smart Grid , 2012, 2012 First International Workshop on Software Engineering Challenges for the Smart Grid (SE-SmartGrids).

[5]  J. R. McDonald,et al.  Adaptive intelligent power systems: Active distribution networks☆ , 2008 .

[6]  Tomas E. Dy Liacco,et al.  The Adaptive Reliability Control System , 1967 .

[7]  A.S. Bretas,et al.  Hybrid Fault Diagnosis Scheme Implementation for Power Distribution Systems Automation , 2008, IEEE Transactions on Power Delivery.

[8]  Roy Billinton,et al.  Capacity reserve assessment using system well-being analysis , 1999 .

[9]  Irfan Waseem Impacts of Distributed Generation on the Residential Distribution Network Operation , 2008 .

[10]  M. E. Khan Bulk load points reliability evaluation using a security based model , 1998 .

[11]  K. R. Krishnanand,et al.  A Fast Gauss-Newton Algorithm for Islanding Detection in Distributed Generation , 2012, IEEE Transactions on Smart Grid.

[12]  C. Borges,et al.  Active distribution network integrated planning incorporating distributed generation and load response uncertainties , 2011, 2012 IEEE Power and Energy Society General Meeting.

[13]  M.T. Doyle,et al.  Reviewing the impacts of distributed generation on distribution system protection , 2002, IEEE Power Engineering Society Summer Meeting,.

[14]  Seung-Jae Lee,et al.  Service Restoration Methodology for Multiple Fault Case in Distribution Systems , 2006, IEEE Transactions on Power Systems.

[15]  Roy Billinton,et al.  Requirements for composite system reliability evaluation models , 1988 .

[16]  Chuen-Sheng Cheng,et al.  Identification of seasonal short-term load forecasting models using statistical decision functions , 1990 .

[17]  B. Don Russell,et al.  Intelligent Systems for Improved Reliability and Failure Diagnosis in Distribution Systems , 2010, IEEE Transactions on Smart Grid.

[18]  K. Carlsen,et al.  Operating under stress and strain [electrical power systems control under emergency conditions] , 1978, IEEE Spectrum.

[19]  L.A. Kojovic,et al.  Summary of Distributed Resources Impact on Power Delivery Systems , 2008, IEEE Transactions on Power Delivery.

[20]  Noor Izzri Abdul Wahab,et al.  A review on microgrid control techniques , 2014, 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[21]  C.J. Mozina A Tutorial on the Impact of Distributed Generation (DG) on Distribution Systems , 2008, 2008 61st Annual Conference for Protective Relay Engineers.

[22]  Li Dayong Analysis and Processing Methods of Bad Load Data in Medium-voltage Distribution Network , 2008 .

[23]  K.K. Li,et al.  Agent-based self-healing protection system , 2006, IEEE Transactions on Power Delivery.

[24]  Kun Yu,et al.  The Control and Analysis of Self-Healing Urban Power Grid , 2012, IEEE Transactions on Smart Grid.

[25]  Hesam Yazdanpanahi,et al.  Protection and Power Quality Impact of Distributed Generation on Distribution System , 2014 .

[26]  S. R. Samantaray,et al.  Assessment of ROCPAD Relay for Islanding Detection in Distributed Generation , 2011, IEEE Transactions on Smart Grid.

[27]  Fabrizio Giulio Luca Pilo,et al.  Optimal distributed generation allocation in MV distribution networks , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).

[28]  Gerald Thomas Heydt,et al.  The Next Generation of Power Distribution Systems , 2010, IEEE Transactions on Smart Grid.

[29]  Ehab F. El-Saadany,et al.  A Cooperative Multiagent Framework for Self-Healing Mechanisms in Distribution Systems , 2012, IEEE Transactions on Smart Grid.

[30]  Karen Nan Miu,et al.  Multi-tier service restoration through network reconfiguration and capacitor control for large-scale radial distribution networks , 1999 .

[31]  Mladen Kezunovic,et al.  Smart Fault Location for Smart Grids , 2011, IEEE Transactions on Smart Grid.

[32]  P.P. Barker,et al.  Determining the impact of distributed generation on power systems. I. Radial distribution systems , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[33]  Seung-Jae Lee,et al.  Restoration Index in Distribution Systems and Its Application to System Operation , 2006, IEEE Transactions on Power Systems.

[34]  C. Su,et al.  Network Reconfiguration of Distribution Systems Using Improved Mixed-Integer Hybrid Differential Evolution , 2002, IEEE Power Engineering Review.

[35]  Roy Billinton,et al.  A security based approach to composite power system reliability evaluation , 1992 .

[36]  Canbing Li,et al.  A review of islanding detection methods for microgrid , 2014 .