Composition Assessment of a Power Distribution System with Optimal Dispatching of Distributed Generation


Article Metrics:
- Ahadi, A., Ghadimi, N., & Mirabbasi, D. (2014). Reliability assessment for components of large scale photovoltaic systems. Journal of Power Sources, 264, 211-219. https://doi.org/10.1016/j.jpowsour.2014.04.041
- Altamimi, A., & Jayaweera, D. (2017). Reliability performances of grid-integrated PV systems with varying climatic conditions. In IET International Conference on Resilience of Transmission and Distribution Networks (RTDN 2017), Birmingham, UK, 2017. IET Publishing. https://doi.org/10.1049/cp.2017.0336
- Bodenhofer, U. (2003). Genetic algorithms: theory and applications. Lecture notes, Fuzzy Logic Laboratorium Linz-Hagenberg, Winter
- Borges, C. L. T., & Falcao, D. M. (2006). Optimal distributed generation allocation for reliability, losses, and voltage improvement. International Journal of Electrical Power & Energy Systems, 28(6), 413-420. https://doi.org/10.1016/j.ijepes.2006.02.003
- Bouktir, T., Slimani, L., & Belkacemi, M. (2004). A genetic algorithm for solving the optimal power flow problem. Leonardo Journal of Sciences, 4, 44-58
- Calais, M., Myrzik, J., Spooner, T., & Agelidis, V. G. (2002). Inverters for single-phase grid connected photovoltaic systems-an overview. In Power Electronics Specialists Conference, 2002. pesc 02. 2002 IEEE 33rd Annual (Vol. 4, pp. 1995-2000). IEEE. https://doi.org/10.1109/PSEC.2002.1023107
- Celli, G., Ghiani, E., Mocci, S., & Pilo, F. (2005). A multiobjective evolutionary algorithm for the sizing and siting of distributed generation. IEEE Transactions on Power Systems, 20(2), 750-757. https://doi.org/10.1109/TPWRS.2005.846219
- Chen, P.-H., & Chang, H.-C. (1995). Large-scale economic dispatch by genetic algorithm. IEEE Transactions on Power Systems, 10(4), 1919-1926. https://doi.org/10.1109/59.476058
- Dellosa, J. (2016). PotentialEffectand Analysisof High Residential Solar Photovoltaic (PV) Systems Penetration to an Electric Distribution Utility (DU). Int. Journal of Renewable Energy Development, 5(3),179-185, doi: 10.14710/ijred.5.3.179-185https://doi.org/10.14710/ijred.5.3.179-185
- Eltawil, M. A., & Zhao, Z. (2010). Grid-connected photovoltaic power systems: Technical and potential problems-A review. Renewable and Sustainable Energy Reviews, 14(1), 112-129. https://doi.org/10.1016/j.rser.2009.07.015
- Gerbex, S., Cherkaoui, R., & Germond, A. J. (2001). Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms. IEEE Transactions on Power Systems, 16(3), 537-544. https://doi.org/10.1109/59.932292
- Goyal, V., & Mahapatra, S. (2011). Application of genetic algorithm in the optimum placement of distributed generator in distributed power system. International Journal of Computer Applications, 30(6), 1-5
- International Energy Agency. (2017). Trends 2017 in Photovoltaic Applications Executive Summary. Retrieved from http://www.iea-pvps.org/fileadmin/dam/public/report/statistics/IEA-PVPS_-_Trends_in_PV_Applications_2017_-_EXECUTIVE_SUMMARY.pdf
- Jantsch, M., Real, M., Häberlin, H., Whitaker, C., Kurokawa, K., Blässer, G., Kremer, P & Verhoeve, C. W. G. (1997). Measurement of PV maximum power point tracking performance. Netherlands Energy Research Foundation ECN. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download doi=10.1.1.621.4660&rep=rep1&type=pdf
- Jayaweera, D., & Islam, S. (2014). Security of energy supply with change in weather conditions and dynamic thermal limits. IEEE Transactions on Smart Grid, 5(5), 2246-2254. https://doi.org/10.1109/TSG.2014.2316523
- Kishore, L. N., & Fernandez, E. (2011). Reliability well-being assessment of PV-wind hybrid system using Monte Carlo simulation. In Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on (pp. 63-68). IEEE. https://doi.org/10.1109/ICETECT.2011.5760092
- Li, W. (2013). Reliability assessment of electric power systems using Monte Carlo methods. Springer Science & Business Media
- Premkumar, M., Karthick, K and Sowmya, R(2018). A Review on Solar PV Based Grid Connected Microinverter Control Schemes and TopologiesInt. Journal of Renewable Energy Development, 7(2),171-182, doi.org/10.14710/ijred.7.2.171-182 https://doi.org/10.14710/ijred.7.2.171-182
- Puttgen, H. B., Macgregor, P. R., & Lambert, F. C. (2003). Distributed generation: Semantic hype or the dawn of a new era? IEEE Power and Energy Magazine, 99(1), 22-29. https://doi.org/10.1109/MPAE.2003.1180357
- Quezada, V. H. M., Abbad, J. R., & Roman, T. G. S. (2006). Assessment of energy distribution losses for increasing penetration of distributed generation. IEEE Transactions on Power Systems, 21(2), 533-540. https://doi.org/10.1109/TPWRS.2006.873115
- Rodríguez-Gallegos, C. D., Gandhi, O., Bieri, M., Reindl, T., & Panda, S. K. (2018). A diesel replacement strategy for off-grid systems based on progressive introduction of PV and batteries: An Indonesian case study. Applied Energy, 229, 1218-1232. https://doi.org/10.1016/j.apenergy.2018.08.019
- Rodríguez-Gallegos, C. D., Gandhi, O., Yang, D., Alvarez-Alvarado, M. S., Zhang, W., Reindl, T., & Panda, S. K. (2017). A siting and sizing optimization approach for PV-battery-diesel hybrid systems. IEEE Transactions on Industry Applications, 54(3), 2637-2645. https://doi.org/10.1109/TIA.2017.2787680
- Rodríguez-Gallegos, C. D., Yang, D., Gandhi, O., Bieri, M., Reindl, T., & Panda, S. K. (2018). A multi-objective and robust optimization approach for sizing and placement of PV and batteries in off-grid systems fully operated by diesel generators: An Indonesian case study. Energy, 160, 410-429. https://doi.org/10.1016/j.energy.2018.06.185
- Rújula, A. A. B., Amada, J. M., Bernal-Agustin, J. L., Loyo, J. M. Y., & Navarro, J. A. D. (2005). Definitions for distributed generation: a revision. In International Conference on Renewable Energy and Power Quality March (pp. 16-18)
- Grigg, C., Wong, P., Albrecht, P., Allan, R., Bhavaraju, M., Billinton, R., Chen Q., Fong C., Haddad S., Kuruganty S., Mukerji R., Li, W., Patton D., Rau N., Reppen D., Schneider A., Shahidehpour M., & C. Singh (1999). The IEEE reliability test system-1996. A report prepared by the reliability test system task force of the application of probability methods subcommittee. IEEE Transactions on power systems, 14(3), 1010-1020. https://doi.org/10.1109/59.780914
- Stember, L. H., Huss, W. R., & Bridgman, M. S. (1982). A methodology for photovoltaic system reliability & economic analysis. IEEE Transactions on Reliability, 31(3), 296-303. https://doi.org/10.1109/TR.1982.5221344
- Walters, D. C., & Sheble, G. B. (1993). Genetic algorithm solution of economic dispatch with valve point loading. IEEE Transactions on Power Systems, 8(3), 1325-1332. https://doi.org/10.1109/59.260861
- Wang, Y., Zhang, P., Li, W., & Kan'an, N. H. (2012). Comparative analysis of the reliability of grid-connected photovoltaic power systems. In Power and Energy Society General Meeting, 2012 IEEE (pp. 1-8). IEEE. https://doi.org/10.1109/PESGM.2012.6345373
- Zhang, P., Li, W., Li, S., Wang, Y., & Xiao, W. (2013). Reliability assessment of photovoltaic power systems: Review of current status and future perspectives. Applied Energy, 104, 822-833. https://doi.org/10.1016/j.apenergy.2012.12.010
- Zulu, E. & Jayaweera, D. (2014). Reliability assessment in active distribution networks with detailed effects of PV systems. Journal of Modern Power Systems and Clean Energy, 2(1), 59-68. https://doi.org/10.1007/s40565-014-0046-2
Last update: 2021-02-25 12:37:11
Last update: 2021-02-25 12:37:12

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Articles are freely available to both subscribers and the wider public with permitted reuse.
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options: Creative Commons Attribution-ShareAlike (CC BY-SA). Authors and readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, even commercially, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.