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A holistic analysis of distribution system reliability assessment methods with conventional and renewable energy sources

  • Received: 02 March 2019 Accepted: 21 June 2019 Published: 08 July 2019
  • Reliable electrical distribution system is the primary requirement of smart grid. Further, with the integration of intermittent renewable energy sources (RESs), reliability assessment is very vital. Various deterministic and probabilistic methods are utilized to assess the reliability of distribution system. This review study is about distribution system reliability assessment (DSRA) with and without renewable energy generation technologies such as micro grid, distributed generation, solar and wind. For that purpose, DSRA methods such as Monte Carlo simulation (MCS) and other DSRA methods are discussed. The distribution system reliability is considered by using the renewable energy generation techniques. The stochastic features of the parameters in the designing process defined the type of MCS simulation technique. These techniques are utilized to provide reliability assessment of compact system due to huge computational time associated with them. It can be restricted by restricting number of lumped equipments for a given renewable energy source. Further, numerous states can also be used to describe the arbitrariness in the renewable energy generation, because of the stochastic behavior of the resources and the mechanical degradation of the system.

    Citation: Baseem Khan, Hassan Haes Alhelou, Fsaha Mebrahtu. A holistic analysis of distribution system reliability assessment methods with conventional and renewable energy sources[J]. AIMS Energy, 2019, 7(4): 413-429. doi: 10.3934/energy.2019.4.413

    Related Papers:

  • Reliable electrical distribution system is the primary requirement of smart grid. Further, with the integration of intermittent renewable energy sources (RESs), reliability assessment is very vital. Various deterministic and probabilistic methods are utilized to assess the reliability of distribution system. This review study is about distribution system reliability assessment (DSRA) with and without renewable energy generation technologies such as micro grid, distributed generation, solar and wind. For that purpose, DSRA methods such as Monte Carlo simulation (MCS) and other DSRA methods are discussed. The distribution system reliability is considered by using the renewable energy generation techniques. The stochastic features of the parameters in the designing process defined the type of MCS simulation technique. These techniques are utilized to provide reliability assessment of compact system due to huge computational time associated with them. It can be restricted by restricting number of lumped equipments for a given renewable energy source. Further, numerous states can also be used to describe the arbitrariness in the renewable energy generation, because of the stochastic behavior of the resources and the mechanical degradation of the system.


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    [1] Brown RE, Gupta S, Christie RD, et al. (1996) Distribution system reliability assessment using hierarchical Markov modeling. IEEE Trans Power Delivery 11: 1929–1934. doi: 10.1109/61.544278
    [2] López JC, Lavorato M, Rider MJ (2016) Optimal reconfiguration of electrical distribution systems considering reliability indices improvement. Electr Power Energy Syst 78: 837–845. doi: 10.1016/j.ijepes.2015.12.023
    [3] Hajian-Hoseinabadi H, Golshan MEH, Shayanfar HA (2014) Composite automated distribution system reliability model considering various automated substations. Electr Power Energy Syst 54: 211–220. doi: 10.1016/j.ijepes.2013.06.032
    [4] Hashemi Y, Valipour K (2014) FDM based multi-objective optimal sitting and design of TC-FLSFCL for study of distribution system reliability. Electr Power Energy Syst 61: 463–473. doi: 10.1016/j.ijepes.2014.04.002
    [5] Ray S, Bhattacharya A, Bhattacharjee S (2016) Optimal placement of switches in a radial distribution network for reliability improvement. Electr Power Energy Syst 76: 53–68. doi: 10.1016/j.ijepes.2015.09.022
    [6] Saboori H, Hemmati R, Jirdehi MA (2015) Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems. Energy 93: 2299–2312. doi: 10.1016/j.energy.2015.10.125
    [7] Timashev SA, Bushinskaya AV (2015) Markov approach to early diagnostics, reliability assessment, residual life and optimal maintenance of pipeline systems. Struct Saf 56: 68–79. doi: 10.1016/j.strusafe.2015.05.006
    [8] Yssaad B, Abene A (2015) Rational reliability centered maintenance optimization for power distribution systems. Electr Power Energy Syst 73: 350–360. doi: 10.1016/j.ijepes.2015.05.015
    [9] Ajenikoko GA, Olaomi AA, Aborisade DO (2014) A failure rate model for reliability assessment of Ibadan distribution systems. Comput Eng Intell Syst, 5: 21–33.
    [10] Bourezg A, Meglouli H (2015) Reliability assessment of power distribution systems using disjoint path-set algorithm. J Ind Eng Int 11: 45–57. doi: 10.1007/s40092-014-0083-5
    [11] Bertling L, Allan R, Eriksson R (2005) A reliability-centered asset maintenance method for assessing the impact of maintenance in power distribution systems. IEEE Trans Power Syst 20: 75–82.
    [12] Wang P, Billinton R (2002) Reliability cost/worth assessment of distribution systems incorporating time-varying weather conditions and restoration resources. IEEE Trans Power Delivery 17: 260–265. doi: 10.1109/61.974216
    [13] Brown RE (2001) Distribution reliability assessment and reconfiguration optimization. 2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives, Atlanta, GA 2: 994–999.
    [14] Wang Z, Shokooh F, Qiu J (2002) An efficient algorithm for assessing reliability indexes of general distribution systems. IEEE Trans Power Syst 17: 608–614. doi: 10.1109/TPWRS.2002.800904
    [15] Lantharthong T, Phanthuna N (2012) Techniques for reliability evaluation in distribution system planning. WASET, Int J Electr, Comput, Energ, Electron Commun Eng 6.
    [16] Billinton R, Wang P (1998) Reliability-network-equivalent approach to distribution-system-reliability evaluation. IEE Proc-Gener, Transm Distrib 145: 149–153. doi: 10.1049/ip-gtd:19981828
    [17] Anbalagan P, Ramachandran V (2011) An enhanced distributed model for reliability evaluation of power distribution systems. Int J Comput Electr Eng 3: 566–571.
    [18] Al-Muhaini M, Heydt GT (2013) A novel method for evaluating future power distribution system reliability. IEEE Trans Power Syst 28: 3018–3027. doi: 10.1109/TPWRS.2012.2230195
    [19] Li G, Bie Z, Xie H, et al. (2016) Customer satisfaction based reliability evaluation of active distribution networks. Appl Energy 162:1571–1578. doi: 10.1016/j.apenergy.2015.02.084
    [20] Milaca SA, Volpi NMP, Yuan J, et al. (2015) Expansion planning problem in distribution systems with reliability evaluation: An application in real network using geo referenced database. Electr Power Energy Syst 70: 9–16. doi: 10.1016/j.ijepes.2015.01.004
    [21] Salman AM, Li Y, Stewart MG (2015) Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes. Reliab Eng Syst Safety 144: 319–333. doi: 10.1016/j.ress.2015.07.028
    [22] Tsao TF, Chang HC (2003) Composite reliability evaluation model for different types of distribution systems. IEEE Transactions on Power Systems 18: 924–930.
    [23] Ren H, Gao W (2010) A MILP model for integrated plan and evaluation of distributed energy systems. Appl Energy 87: 1001–1014. doi: 10.1016/j.apenergy.2009.09.023
    [24] da Silva AML, Cassula AM, Nascimento LC, et al. (2006) Chronological Monte Carlo-Based assessment of distribution system reliability. International Conference on Probabilistic Methods Applied to Power Systems KTH, Stockholm, Sweden.
    [25] Ge S, Xu L, Liu H, et al. (2014) Reliability assessment of active distribution system using Monte Carlo simulation method. J Appl Math 2014.
    [26] Conti S, Rizzo SA (2015) Monte Carlo Simulation by using a systematic approach to assess distribution system reliability considering intentional islanding. IEEE Trans Power Delivery 30: 64–73. doi: 10.1109/TPWRD.2014.2329535
    [27] Billinton R, Wang P (1999) Teaching distribution system reliability evaluation using Monte Carlo simulation. IEEE Trans Power Syst 14: 397–403.
    [28] Martinez-Velasco JA, Guerra G (2014) Parallel Monte Carlo approach for distribution reliability assessment. IET Gener Transm Distrib 8: 1810–1819. doi: 10.1049/iet-gtd.2014.0075
    [29] Zapata CJ, Gomez O (2006) Reliability Assessment of unbalanced distribution systems using sequential Monte Carlo simulation. 2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America 1–6.
    [30] Hussain B, Qadeer-Ul-Hassan (2016) Demand side management for smart homes in Pakistan. 2016 International Conference on Emerging Technologies (ICET), Islamabad 1–6.
    [31] Meng FL, Zeng XJ (2014) An optimal Real-time pricing for demand side management: A stackelberg game and genetic algorithm approach. International Joint Conference on Neural Networks (IJCNN) Beijing, China.
    [32] Talha M, Saeed MS, Mohiuddin G, et al. (2018) Energy optimization in home energy management system using artificial fish swarm algorithm and genetic algorithm. In: Barolli L, Woungang I, Hussain O, Advances in Intelligent Networking and Collaborative Systems. INCoS 2017. Lecture Notes on Data Engineering and Communications Technologies, Springer, Cham 8.
    [33] Logenthiran T, Srinivasan D, Shun TZ (2012) Demand side management in smart grid using heuristic optimization. IEEE Trans Smart Grid 3: 1244–1252. doi: 10.1109/TSG.2012.2195686
    [34] Rahim S, Iqbal Z, Shaheen N, et al. (2016) Ant colony optimization based energy management controller for smart grid. 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), Crans-Montana 1154–1159.
    [35] Costa PM, Matosb MA (2009) Assessing the contribution of micro-grids to the reliability of distribution networks. Electr Power Syst Res 79: 382–389. doi: 10.1016/j.epsr.2008.07.009
    [36] Allahnoori M, Kazemi Sh, Abdi H, et al. (2014) Reliability assessment of distribution systems in presence of micro-grids considering uncertainty in generation and load demand. J of Oper Autom Power Eng 2: 113–120.
    [37] Conti S, Nicolosi R, Rizzo SA (2012) Generalized systematic approach to assess distribution system reliability with renewable distributed generators and Micro-grids. IEEE Trans Power Delivery 27: 261–270. doi: 10.1109/TPWRD.2011.2172641
    [38] Khodayar ME, Barati M, Shahidehpour M (2012) Integration of high reliability distribution system in microgrid operation. IEEE Trans Smart Grid 3: 1997–2006. doi: 10.1109/TSG.2012.2213348
    [39] Abul'Wafa AR, Taha ATM (2014) Reliability evaluation of distribution systems under μ Grid-Tied andislanded μ grid modes using Monte Carlo simulation. Smart Grid Renewable Energy 5: 52–62. doi: 10.4236/sgre.2014.53006
    [40] Tuffaha T, AlMuhaini M (2015) Reliability assessment of a Micro-grid distribution system with PV and storage. 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), Vienna 195–199.
    [41] Wang S, Li Z, Wu L, et al. (2013) New metrics for assessing the reliability and economics of microgrids in distribution system. IEEE Trans Power Syst 28: 2852–2861. doi: 10.1109/TPWRS.2013.2249539
    [42] Conti S, Rizzo SA, El-Saadany EF, et al. (2014) Reliability assessment of distribution systems considering telecontrolled switches and microgrids. IEEE Trans Power Syst 29: 598–607.
    [43] Pretea CL, Hobbsa BF, Normana CS, et al. (2012) Sustainability and reliability assessment of micro grids in a regional electricity market. Energy 41: 192–202. doi: 10.1016/j.energy.2011.08.028
    [44] Hegazy YG, Salama MMA, Chickhani AY (2012) Distributed generation and distribution system reliability. Abbasia, Cairo, Egypt.
    [45] Abdullah AM (2012) New method for assessment of distributed generation impact on distribution system reliability: Islanded operation. IEEE PES Innovative Smart Grid Technol 1–5.
    [46] Al-Muhaini M, Heydt GT (2013) Evaluating future power distribution system reliability including distributed generation. IEEE Trans Power Delivery 28: 2264–2272. doi: 10.1109/TPWRD.2013.2253808
    [47] Atwa YM, El-Saadany EF (2009) Reliability evaluation for distribution system with renewable distributed generation during islanded mode of operation. IEEE Trans Power Systems 24: 572–581. doi: 10.1109/TPWRS.2009.2016458
    [48] Conti S, Rizzo SA (2015) An algorithm for reliability assessment of distribution systems in presence of distributed generators. Int J Electr Eng Inf 7: 502–516.
    [49] Duttagupta SS, Singh C (2006) A reliability assessment methodology for distribution systems with distributed generation. 2006 IEEE Power Engineering Society General Meeting.
    [50] Wang G, Liu Z, Liu N, et al. (2008) Reliability evaluation of distribution system with distributed generation based on Islanding algorithm. 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, Nanjuing 2697–2701.
    [51] Jahangiri P, Fotuhi-Firuzabad M (2008) Reliability assessment of distribution system with distributed generation. 2008 IEEE 2nd International Power and Energy Conference, Johor Bahru 1551–1556.
    [52] Li F (2005) Distributed processing of reliability index assessment and reliability-based network reconfiguration in power distribution systems. IEEE Trans Power Syst 20: 230–238. doi: 10.1109/TPWRS.2004.841231
    [53] Borges CLT (2012) An overview of reliability models and methods for distribution systems with renewable energy distributed generation. Renewable Sustainable Energy Rev 16: 4008–4015. doi: 10.1016/j.rser.2012.03.055
    [54] Fotuhi-Firuzabad M, Rajabi-Ghahnavie A (2005) An analytical method to consider DG impacts on distribution system reliability. 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific, Dalian 1–6.
    [55] Chowdhury AA, Agarwal SK, Koval DO (2003) Reliability modeling of distributed generation in conventional distribution systems planning and analysis. IEEE Transactions on Industry Applications 39: 1493–1498. doi: 10.1109/TIA.2003.816554
    [56] Arya R, Choube SC, Arya LD (2012) Reliability evaluation and enhancement of distribution systems in the presence of distributed generation based on standby mode. Electr Power Energy Syst 43: 607–616. doi: 10.1016/j.ijepes.2012.05.045
    [57] Brown HE, Suryanarayanan S, Natarajan SA, et al. (2012) Improving reliability of islanded distribution systems with distributed renewable energy resources. IEEE Trans Smart Grid 3: 2028–2038. doi: 10.1109/TSG.2012.2200703
    [58] Li C, Liu   X, Zhang   W, et al. (2016) Assessment method and indexes of operating states classification for distribution system with distributed generations. IEEE Trans Smart Grid 7: 481–490. doi: 10.1109/TSG.2015.2402157
    [59] Issicaba D, Lopes JAP, da Rosa MA (2012) Adequacy and security evaluation of distribution systems with distributed generation. IEEE Trans Power Syst 27: 1681–1689. doi: 10.1109/TPWRS.2012.2184563
    [60] Yang H, Xie K, Wai R, et al. (2014) Reliability evaluation of electrical distribution network containing distributed generation using directed-relation-graph. J Electr Eng Technol 9: 1188–1195. doi: 10.5370/JEET.2014.9.4.1188
    [61] Arya R (2016) Ranking of feeder sections of distribution systems for maintenance prioritization accounting distributed generations and loads using diagnostic importance factor (DIF). Electr Power Energy Syst 74: 70–77. doi: 10.1016/j.ijepes.2015.07.011
    [62] Georgilakis PS, Hatziargyriou ND (2013) Optimal distributed generation placement in power distribution networks: Models, methods, and future research. IEEE Trans Power Syst 28: 3420–3428. doi: 10.1109/TPWRS.2012.2237043
    [63] Liu K, Sheng W, Hu L, et al. (2015) Simplified probabilistic voltage stability evaluation considering variable renewable distributed generation in distribution systems. IET Gener Transm Distrib 9: 1464–1473. doi: 10.1049/iet-gtd.2014.0840
    [64] Paleti S, Potli M, Yadav MA (2015) Reliability evaluation of distribution system with Hybrid Wind/PV/Pico-Hydro Generation. 2015 International Conference on Advanced Computing and Communication Systems, Coimbatore 1–6.
    [65] Chaouachi A, Bompard E, Fulli G, et al. (2016) Assessment framework for EV and PV synergies in emerging distribution systems. Renewable Sustainable Energy Rev 55: 719–728. doi: 10.1016/j.rser.2015.09.093
    [66] Conti S, Raita S (2007) Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators. Solar Energy 81: 1473–1481. doi: 10.1016/j.solener.2007.02.007
    [67] DQ Hung, Mithulananthan N, Bansal RC (2014) Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability. Appl Energy 113: 1162–1170. doi: 10.1016/j.apenergy.2013.08.069
    [68] Shah R, Yan R, Saha TK (2015) Chronological risk assessment approach of distribution system with concentrated solar power plant. IET Renewable Power Gener 9: 629–637. doi: 10.1049/iet-rpg.2014.0262
    [69] Mostafa HA, El-Shatshat R, Salama MMA (2013) Multi-Objective optimization for the operation of an electric distribution system with a large number of single phase solar generators. IEEE Trans Smart Grid 4: 1038–1047. doi: 10.1109/TSG.2013.2239669
    [70] Alam MJE, Muttaqi KM, Sutanto D (2013) Mitigation of rooftop solar PV impacts and evening peak support by managing available capacity of distributed energy storage systems. IEEE Trans Power Syst 28: 3874–3884. doi: 10.1109/TPWRS.2013.2259269
    [71] Atwa YM, El-Saadany EF, Salama MMA, et al. (2011) Adequacy evaluation of distribution system including Wind/Solar DG during different modes of operation. IEEE Trans on Power Syst 26: 1945–1952. doi: 10.1109/TPWRS.2011.2112783
    [72] Yazdani A, Dash PP (2009) A control methodology and characterization of dynamics for a Photovoltaic (PV) system interfaced with a distribution network. IEEE Trans Power Delivery 24: 1538–1551. doi: 10.1109/TPWRD.2009.2016632
    [73] Atwa YM, El-Saadany EF, Guise AC, et al. (2010) Supply adequacy assessment of distribution system including Wind-Based DG during different modes of operation. IEEE Trans Power Syst25: 78–86.
    [74] Abdelsamad SF, Morsi WG, Sidhu TS (2015) Impact of Wind-Based distributed generation on electric energy in distribution systems embedded with electric vehicles. IEEE Trans Sustainable Energy 6: 79–87. doi: 10.1109/TSTE.2014.2356551
    [75] Vallee F, Lobry J, Deblecker O (2008) System reliability assessment method for wind power integration. IEEE Trans Power Syst 23: 1288–1297.
    [76] Wu H, Guo J, Ding M (2016) Reliability evaluation of a distribution system with wind turbine generators based on the Switch-section partitioning method. J Electr Eng Technol 11: 709–718.
    [77] Aghaebrahimi MR, Mehdizadeh M (2011) A new procedure in reliability assessment of Wind–Diesel islanded grids. Electr Power Compon Syst 39: 1563–1576. doi: 10.1080/15325008.2011.596505
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