Indian Journal of Science and Technology

Open Access Open Access  Restricted Access Subscription Access

Impact of Distributed Generation Integration on Distribution System Reliability


Affiliations
1 Department of Electrical and Electronics Engineering, Institute of Aeronautical Engineering, Hyderabad – 500043, Telangana, India
2 Department of Electrical Engineering, National Institute of Technology Silchar – 788010, Assam, India
 

Objectives: To study the impact of Distributed Generation (DG) integration and automation on distribution system (DS) reliability. Impact of switch operational failures is to be studied. Methods/Statistical Analysis: The system reliability is estimated using time sequential Monte Carlo Simulation (MCS) considering time varying load models. The uncertainties of wind and solar powers are modelled by using Weibull and Beta probability distribution functions respectively. The concept of expectation is used for fuse and switch operational failures to determine the average outage time. System equipment is modelled using two state continues Markov modelling. Findings: The impact of DGs and system automation on distribution system reliability is estimated. The impact analysis is done on a practical Indian distribution system. The impact on system reliability due to operational failures of the fuses and switches is analysed. The failures of substation equipment and DGs are also included for reliability evaluation. The load transfer restrictions are applied on feeders and load transfer capacity is evaluated based on the instantaneous loading of the feeder. Both system reliability and load point reliability is evaluated for impact analysis and results are compared. Application/Improvements: The results contribute the generic observations regarding the impact of DG integration and operational failures of switches.
User

  • Wang P, Billinton R. Time sequential distribution system reliability worth analysis considering time varying load and cost models. IEEE Transactions on Power Delivery. 1999 Jul; 14(3):1046–52. https://doi.org/10.1109/61.772352

  • Zhu D, Broadwater RP, Tam KS, Seguin R, Asgeirsson H. Impact of DG placement on reliability and efficiency with time-varying loads. IEEE Transactions on Power Systems. 2006 Feb; 121(1):419–27. https://doi.org/10.1109/TPWRS.2005.860943

  • Murty VVSN, Kumar A. Mesh distribution system analysis in presence of distributed generation with time varying load model. International Journal of Electrical Power Energy Systems. 2014 Nov; 62:836–54. https://doi.org/10.1016/j.ijepes.2014.05.034

  • Ochoa LF, Padilha-Feltrin A, Harrison GP. Evaluating distributed time-varying generation through a multiobjective index. IEEE Transactions on Power Delivery. 2008 Apr; 23(2):1132–8. https://doi.org/10.1109/TPWRD.2008.915791

  • Miao F, Vittal V, Heydt GT, Ayyanar R. Probabilistic power flow studies for transmission systems with photovoltaic generation using cumulants. IEEE Transactions on Power Systems. 2012 Nov; 27(3):2251–61.

  • Hung DQ, Mithulananthan N, Lee KY. Determining PV penetration for distribution systems with time-varying load models. IEEE Transactions on Power Systems. 2014 Nov, 29(6):3048–57. https://doi.org/10.1109/TPWRS.2014.2314133

  • Salameh ZM, Borowy BS, Amin ARA. Photovoltaic modulesite matching based on the capacity factors. IEEE Transactions on Energy Conversion. 1995 Jun; 10(2):326– 32. https://doi.org/10.1109/60.391899

  • Billinton R, Alan RN. Reliability evaluation of power systems, 2nd Edition. Plenum Press: New York; 1995.

  • Billinton R, Li W. Reliability assessment of electric power systems using monte carlo methods, 1st Edition. Springer; 1994. https://doi.org/10.1007/978-1-4899-1346-3

  • Billinton R, Wang P. Teaching distribution system reliability evaluation using Monte Carlo simulation. IEEE Transactions on Power Systems. 1999 May; 14(2):397–403. https://doi.org/10.1109/59.761856

  • Billinton R, Lian G. Monte Carlo approach to substation reliability evaluation. IEE Proceedings C - Generation, Transmission and Distribution. 1993 Mar; 140(2):147–52.

  • Veliz FFC, Borges CLT, Rei AM. comparison of load models for composite reliability evaluation by non sequential Monte Carlo Simulation. IEEE Transactions on Power Systems. 2010 May; 25(2):649–56. https://doi.org/10.1109/TPWRS.2009.2032354

  • Moazzami M, Hemmati R, Fesharaki FH, Rad SR. Reliability evaluation for different power plant busbar layouts by using sequential Monte Carlo simulation. International Journal of Electrical Power Energy Systems. 2013 Dec; 53:987–93. https://doi.org/10.1016/j.ijepes.2013.06.019

  • Bie Z, Zhang P, Li g, Hua B, Meehan M, Wang X. Reliability evaluation of active distribution systems including microgrids. IEEE Transactions on Power Systems. 2012 Nov; 27(4):2342–50. https://doi.org/10.1109/TPWRS.2012.2202695

  • Billinton R, Cui L, Pan Z, Wang P. Probability distribution development in distribution system reliability evaluation. Electric Power Components Systems. 2010 Nov; 30(9):907– 16. https://doi.org/10.1080/15325000290085217

  • Li W, Wang P, Li Z, Liu Y. Reliability evaluation of complex radial distribution systems considering restoration sequence and network constraints. IEEE Transactions on Power Delivery. 2004 Apr; 19(2):753–8. https://doi.org/10.1109/TPWRD.2003.822960

  • Wang P, Li W. Reliability evaluation of distribution systems considering optimal restoration sequence and variable restoration times. IET Generation Transmission Distribution. 2007 Jul; 1(4):688–95. https://doi.org/10.1049/ietgtd: 20060451

  • Che L, Zhang X, Shahidehpour M, Alabdulwahab A, Abusorrah A. Optimal interconnection planning of community micro grids with renewable energy sources. IEEE Transactions on Smart Grid. 2017 May; 8(3):1054–63. https://doi.org/10.1109/TSG.2015.2456834

  • Leite da Silva AM, Nascimento LC, da Rosa MA, Issicaba D, Peças Lopes JA. Distributed energy resources impact on distribution system reliability under load transfer restrictions. IEEE Transactions on Smart Grid. 2012 Dec; 3(4):2048–55. https://doi.org/10.1109/TSG.2012.2190997

  • G. H. Reddy, A. k. Goswami, Nalin B Dev Choudhury, Impact of Plug-in Electric Vehicles and Distributed Generation on Reliability of Distribution Systems. Engineering Science and Technology, an International Journal. 2018 February; 21(1):50-59.

  • Khalesi N, Javadian SAM. Distribution system reliability with considering variation in DG and load consumption. Indian Journal of Science and Technology. 2011 Oct; 4(10):1285–1289.

  • Cheng D, Onen A, Zhu D, Kleppinger D, Arghandeh R, Broadwater RP, Scirbona C. Automation effects on reliability and operation costs in storm restoration. Electric Power Components Systems. 2015 Mar; 43(6):656–64. https://doi.org/10.1080/15325008.2014.999146

  • Sanij MD, Dehghani-Ashkezari M, Hashemi-Dezaki H. Optimum reserve estimation in micro-grids containing renewable distributed generation resources. Indian Journal of Science and Technology. 2015 Oct; 8(28):1–9.


Abstract Views: 216

PDF Views: 0




  • Impact of Distributed Generation Integration on Distribution System Reliability

Abstract Views: 216  |  PDF Views: 0

Authors

Galiveeti Hemakumar Reddy
Department of Electrical and Electronics Engineering, Institute of Aeronautical Engineering, Hyderabad – 500043, Telangana, India
Arup Kumar Goswami
Department of Electrical Engineering, National Institute of Technology Silchar – 788010, Assam, India
Nalin B. Dev Choudhury
Department of Electrical Engineering, National Institute of Technology Silchar – 788010, Assam, India

Abstract


Objectives: To study the impact of Distributed Generation (DG) integration and automation on distribution system (DS) reliability. Impact of switch operational failures is to be studied. Methods/Statistical Analysis: The system reliability is estimated using time sequential Monte Carlo Simulation (MCS) considering time varying load models. The uncertainties of wind and solar powers are modelled by using Weibull and Beta probability distribution functions respectively. The concept of expectation is used for fuse and switch operational failures to determine the average outage time. System equipment is modelled using two state continues Markov modelling. Findings: The impact of DGs and system automation on distribution system reliability is estimated. The impact analysis is done on a practical Indian distribution system. The impact on system reliability due to operational failures of the fuses and switches is analysed. The failures of substation equipment and DGs are also included for reliability evaluation. The load transfer restrictions are applied on feeders and load transfer capacity is evaluated based on the instantaneous loading of the feeder. Both system reliability and load point reliability is evaluated for impact analysis and results are compared. Application/Improvements: The results contribute the generic observations regarding the impact of DG integration and operational failures of switches.

References





DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i34%2F95613