Skip to main content
Log in

Integration of distributed generation for assessment of distribution system reliability considering power loss, voltage stability and voltage deviation

  • Original Paper
  • Published:
Energy Systems Aims and scope Submit manuscript

Abstract

This paper presents a combined scheme for solving optimal distributed generation (DG) placement and reliability assessment problem of distribution network. This has been solved through meta-heuristic based novel Modified Gbest-guided artificial bee colony (MGABC) optimization algorithm for the purpose of power loss reduction, index of voltage stability (IVS) improvement and voltage level enhancement. In addition to that, it also identifies the optimal values of rate of failure and time of repair of various distribution lines for enhancement of distribution reliability. Therefore to achieve these proposed objectives, three multi-objective functions are formulated. First multi-objective function is formed by combining purchased active power cost from grid, power loss cost, DG installation cost, DG operation and maintenance (O&M) cost, reliability cost, IVS and total voltage deviation. Second objective function is reliability based cost function with the consideration of DG units and the third one is comprehensive multi-objective function associated with first and second objective functions for solving DG placement and reliability enhancement problem simultaneously. The proposed problem is demonstrated on 8-bus distribution system. Obtained numerical outcomes illustrate that, simultaneous solving DG placement problem and reliability enhancement problem leads to reduction of total operating cost, total voltage deviation, power loss and improvement in IVS significantly. Furthermore, the results obtained through MGABC optimization algorithm are compared to other intelligence technique for highlighting the capability and superiority of proposed methodology.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Abbreviations

\(FR_{sys,i}\) :

Average rate of failure

\(NC_{i}\) :

Number of customer at ith load point

\(FR_{i}\) :

Rate of failure of ith load point

\(FR_{i,min}\) and \(FR_i^0\) :

Minimum and modified value of rate of failure at ith load point

S :

Total number of distribution lines

\(RR_{i}\) :

Repair time of ith load point

\(RR_{i,min }\) and \(RR_i^0 \) :

Minimum and modified value of repair time at ith load point

NL :

Number of distribution lines

\(AL_{i}\) :

Customer average load at ith bus

\(C_{Loss}\) :

Cost of power loss

\(C_{p}\) :

Purchase active power cost from grid

\(DG_{instt}\) :

DG installation cost

\(DG_{O}\) & M :

O & M cost of DG

IVS \(_{T}\) :

Summation of IVS

\(V_{deviation}\) :

Total voltage deviation

\(\alpha _{k}\) and \(\beta _{k}\) :

Cost coefficients

n :

Total number of buses

\(FR_{k}\) and \(RR_{k}\) :

Rate of failure and time of repair for kth branch

\(FR_{eq}\) and \(RR_{eq}\) :

Equivalent rate of failure and time of repair.

O\(U_{eq}\) :

Yearly outage period after inclusion of DG units

\(FR_{s}\) and \(RR_{s}\) :

Total rate of failure and repair time of a load point.

\(FR_{dg}\) and \(RR_{dg}\) :

Rate of failure and time of repair of DG.

\(FR_{sdg}\) and OU \(_{sdg}\) :

Rate of failure and time of outage for parallel arrangement of DG and a network.

\(FR_{sw}\) and \(RR_{sw}\) :

Rate of failure and time of service restoration of manual switch.

\(P_{ij}\) and \(Q_{ij}\) :

Active and reactive power flow between ith and jth bus

\(P_j^{DG} \) :

Real power supplied by DG

\(V_{i}\) :

Voltage at ith bus

\(P_j^F \)and \(Q_j^F \) :

Active and reactive power flow beyond jth bus

\(P_{Loss}(i,j)\) :

Real power loss between ith and jth bus

n :

Total number of buses

\(S_{DG}\) and \(S_{Load} \) :

Total kVA rating of DG and a network

\(V_{rated}\) :

Nominal rated voltage 1 pu

\(K_{p}\) :

Cost coefficient of power loss (0.06 US $/kW)

\(E_p \) :

Electricity market price (49 US $/MWh)

\(P_{Load} \) :

Total real power load of a network

T :

Time period (8760 hours)

\(DG_{cap,i} \) :

DG capacity

\(K_{DG}^i \) :

Cost coefficient of DG installation (400000 US $/MW)

\( K_{DG}^{O \& M}\) :

DG O&M cost coefficient (36 US $/MWh)

\(P_{real,i}\) :

Real power supplied by DG

\(\varphi _{ij}\) :

Random number between \(-1\) and 1

DG :

Distributed generation

ADCOST :

Incentive offered by DG in per kW cost

EENSO :

Expected energy not supplied without DG

EENSD :

Expected energy not supplied with DG

NDG :

Number of DGs

IVS :

Index of voltage stability

ABC :

Artificial bee colony

GABC :

Gbest-guided artificial bee colony

MGABC :

Modified Gbest-guided artificial bee colony

References

  1. Atwa, Y., El-Saadany, E., Salama, M., Seethapathy, R.: Optimal renewable resources mix for distribution system energy loss minimization. IEEE Trans. Power Syst. 25, 360–370 (2010)

    Article  Google Scholar 

  2. Hung, D.Q., Mithulananthan, N.: Multiple distributed generator placement in primary distribution networks for loss reduction. IEEE Trans. Ind. Electron. 60, 1700–1708 (2013)

    Article  Google Scholar 

  3. Ochoa, L.F., Harrison, G.P.: Minimizing energy losses: optimal accommodation and smart operation of renewable distributed generation. IEEE Trans. Power Syst. 26, 198–205 (2011)

    Article  Google Scholar 

  4. Khatod, D.K., Pant, V., Sharma, J.: Evolutionary programming based optimal placement of renewable distributed generators. IEEE Trans. Power Syst. 28, 683–695 (2013)

    Article  Google Scholar 

  5. Bohre, A.K., Agnihotri, G., Dubey, M.: Optimal sizing and sitting of DG with load models using soft computing techniques in practical distribution system. IET Gener. Transm. Distrib. 10, 2606–2621 (2016)

    Article  Google Scholar 

  6. Sheng, W., Liu, K.-Y., Liu, Y., Meng, X., Li, Y.: Optimal placement and sizing of distributed generation via an improved nondominated sorting genetic algorithm II. IEEE Trans. Power Deliv. 30, 569–578 (2015)

    Article  Google Scholar 

  7. Naik, S.N.G., Khatod, D.K., Sharma, M.P.: Analytical approach for optimal siting and sizing of distributed generation in radial distribution networks. IET Gener. Transm. Distrib. 9, 209–220 (2015)

    Article  Google Scholar 

  8. Nekooei, K., Farsangi, M.M., Nezamabadi-Pour, H., Lee, K.Y.: An improved multi-objective harmony search for optimal placement of DGs in distribution systems. IEEE Trans. Smart Grid 4, 557–567 (2013)

    Article  Google Scholar 

  9. Elsaiah, S., Benidris, M., Mitra, J.: Analytical approach for placement and sizing of distributed generation on distribution systems. IET Gener. Transm. Distrib. 8, 1039–1049 (2014)

    Article  Google Scholar 

  10. Lee, S.H., Park, J.-W.: Optimal placement and sizing of multiple DGs in a practical distribution system by considering power loss. IEEE Trans. Ind. Appl. 49, 2262–2270 (2013)

    Article  Google Scholar 

  11. Chiradeja, P., Ramakumar, R.: Voltage profile improvement with distributed wind turbine generation—a case study. IEEE Power Eng. Soc. Gen. Meet. 4, 2331–2336 (2003)

    Google Scholar 

  12. El-Zonkoly, A.: Optimal placement of multi-distributed generation units including different load models using particle swarm optimisation. IET Gener. Transm. Distrib. 5, 760–771 (2011)

    Article  Google Scholar 

  13. Al Abri, R., El-Saadany, E.F., Atwa, Y.M.: Optimal placement and sizing method to improve the voltage stability margin in a distribution system using distributed generation. IEEE Trans. Power Syst. 28, 326–334 (2013)

    Article  Google Scholar 

  14. Celli, G., Ghiani, E., Mocci, S., Pilo, F.: A multiobjective evolutionary algorithm for the sizing and siting of distributed generation. IEEE Trans. Power Syst. 20, 750–757 (2005)

    Article  Google Scholar 

  15. El-Khattam, W., Bhattacharya, K., Hegazy, Y., Salama, M.: Optimal investment planning for distributed generation in a competitive electricity market. IEEE Trans. Power Syst. 19, 1674–1684 (2004)

    Article  Google Scholar 

  16. Mendez, V., Rivier, J., De La Fuente, J., Gomez, T., Arceluz, J., Marin, J., et al.: Impact of distributed generation on distribution investment deferral. Int. J. Electr. Power Energy Syst. 28, 244–252 (2006)

    Article  Google Scholar 

  17. Ackermann, T., Andersson, G., Söder, L.: Distributed generation: a definition. Electr. Power Syst. Res. 57, 195–204 (2001)

    Article  Google Scholar 

  18. Billinton, R., Allan, R.: Reliability Evaluation of Power Systems. Springer, Berlin (1996)

    Book  MATH  Google Scholar 

  19. Billinton, R., Wang, P.: Teaching distribution system reliability evaluation using Monte Carlo simulation. IEEE Trans. Power Syst. 14, 397–403 (1999)

    Article  Google Scholar 

  20. Billinton, R., Wang, P.: Reliability worth of distribution system network reinforcement considering dispersed customer cost data. IET Gener. Transm. Distrib. 146, 318–324 (1999)

    Article  Google Scholar 

  21. Wang, P., Billinton, R.: Reliability benefit analysis of adding WTG to a distribution system. IEEE Trans. Energy Convers. 16, 134–139 (2001)

    Article  Google Scholar 

  22. Etemadi, A., Fotuhi-Firuzabad, M.: Distribution system reliability enhancement using optimal capacitor placement. IET Gener. Transm. Distrib. 2, 621–631 (2008)

    Article  Google Scholar 

  23. Wang, L., Singh, C.: “Reliability-constrained optimum placement of reclosers and distributed generators in distribution networks using an ant colony system algorithm”. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 38, 757–764 (2008)

    Article  Google Scholar 

  24. Atwa, Y.M., El-Saadany, E.F.: Reliability evaluation for distribution system with renewable distributed generation during islanded mode of operation. IEEE Trans. Power Syst. 24, 572–581 (2009)

    Article  Google Scholar 

  25. Jiang, K., Singh, C.: New models and concepts for power system reliability evaluation including protection system failures. IEEE Trans. Power Syst. 26, 1845–1855 (2011)

    Article  Google Scholar 

  26. Amanulla, B., Chakrabarti, S., Singh, S.: Reconfiguration of power distribution systems considering reliability and power loss. IEEE Trans. Power Deliv. 27, 918–926 (2012)

    Article  Google Scholar 

  27. da Silva, A.M.L., Nascimento, L.C., da Rosa, M.A., Issicaba, D., Lopes, J.A.P.: Distributed energy resources impact on distribution system reliability under load transfer restrictions. IEEE Trans. Smart Grid 3, 2048–2055 (2012)

    Article  Google Scholar 

  28. Meneses, C.A.P., Mantovani, J.R.S.: Improving the grid operation and reliability cost of distribution systems with dispersed generation. IEEE Trans. Power Syst. 28, 2485–2496 (2013)

    Article  Google Scholar 

  29. Awad, A.S., El-Fouly, T.H., Salama, M.M.: Optimal ESS allocation and load shedding for improving distribution system reliability. IEEE Trans. Smart Grid 5, 2339–2349 (2014)

    Article  Google Scholar 

  30. Junlakarn, S., Ilić, M.: Distribution system reliability options and utility liability. IEEE Trans. Smart Grid 5, 2227–2234 (2014)

    Article  Google Scholar 

  31. Zou, K., Agalgaonkar, A.P., Muttaqi, K.M., Perera, S.: An analytical approach for reliability evaluation of distribution systems containing dispatchable and nondispatchable renewable DG units. IEEE Trans. Smart Grid 5, 2657–2665 (2014)

    Article  Google Scholar 

  32. Paterakis, N.G., Mazza, A., Santos, S.F., Erdinç, O., Chicco, G., Bakirtzis, A.G., et al.: Multi-objective reconfiguration of radial distribution systems using reliability indices. IEEE Trans. Power Syst. 31, 1048–1062 (2016)

    Article  Google Scholar 

  33. Ray, S., Bhattacharya, A., Bhattacharjee, S.: Differential search algorithm for reliability enhancement of radial distribution system. Electr. Power Compon. Syst. 44, 29–42 (2016)

    Article  Google Scholar 

  34. Awad, A.S., El-Fouly, T.H., Salama, M.M.: Optimal distributed generation allocation and load shedding for improving distribution system reliability. Electr. Power Compon. Syst. 42, 576–584 (2014)

    Article  Google Scholar 

  35. Kumar, D., Samantaray, S., Kamwa, I., Sahoo, N.: Reliability-constrained based optimal placement and sizing of multiple distributed generators in power distribution network using cat swarm optimization. Electr. Power Compon. Syst. 42, 149–164 (2014)

    Article  Google Scholar 

  36. Arya, R., Choube, S., Arya, L., Kothari, D.: Reliability enhancement of a radial distribution system using coordinated aggregation based particle swarm optimization considering customer and energy based indices. Appl. Soft Comput. 12, 3325–3331 (2012)

    Article  Google Scholar 

  37. Arya, R., Choube, S., Arya, L.: Reliability evaluation and enhancement of distribution systems in the presence of distributed generation based on standby mode. Int. J. Electr. Power Energy Syst. 43, 607–616 (2012)

    Article  Google Scholar 

  38. Kavousi-Fard, A., Niknam, T.: Optimal distribution feeder reconfiguration for reliability improvement considering uncertainty. IEEE Trans. Power Deliv. 29, 1344–1353 (2014)

    Article  Google Scholar 

  39. Saboori, H., Hemmati, R., Jirdehi, M.A.: Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems. Energy 93, 2299–2312 (2015)

    Article  Google Scholar 

  40. Narimani, M.R., Vahed, A.A., Azizipanah-Abarghooee, R., Javidsharifi, M.: Enhanced gravitational search algorithm for multi-objective distribution feeder reconfiguration considering reliability, loss and operational cost. IET Gener. Transm. Distrib. 8, 55–69 (2014)

    Article  Google Scholar 

  41. Haque, M.: Efficient load flow method for distribution systems with radial or mesh configuration. IET Gener. Transm. Distrib. 143, 33–38 (1996)

    Article  Google Scholar 

  42. Naik, S.G., Khatod, D., Sharma, M.: Optimal allocation of combined DG and capacitor for real power loss minimization in distribution networks. Int. J. Electr. Power Energy Syst. 53, 967–973 (2013)

    Article  Google Scholar 

  43. Chakravorty, M., Das, D.: Voltage stability analysis of radial distribution networks. Int. J. Electr. Power Energy Syst. 23, 129–135 (2001)

    Article  Google Scholar 

  44. Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Glob. Optim. 39, 459–471 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  45. Zhu, G., Kwong, S.: Gbest-guided artificial bee colony algorithm for numerical function optimization. Appl. Math. Comput. 217, 3166–3173 (2010)

    MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mukul Dixit.

Appendix

Appendix

See Tables A.1, A.2, A.3, A.4.

Table A.1 Average and minimum value of rate of failure and time of repair [33]
Table A.2 Average load and number of customers [33]
Table A.3 Values of cost coefficients [33]
Table A.4 Load and line data of 8-bus distribution network

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dixit, M., Kundu, P. & Jariwala, H.R. Integration of distributed generation for assessment of distribution system reliability considering power loss, voltage stability and voltage deviation. Energy Syst 10, 489–515 (2019). https://doi.org/10.1007/s12667-017-0248-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12667-017-0248-6

Keywords

Navigation