81
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Multiyear stochastic wind generation investment planning with demand response in distribution system using improved water evaporation optimization

, , & ORCID Icon

References

  • Abapour, S., K. Zare, and B. Mohammadi-Ivatloo. 2015. Dynamic planning of distributed generation units in active distribution network. IET Generation, Transmission and Distribution 9 (12):1455–20. doi:10.1049/iet-gtd.2014.1143.
  • Alireza, S., E. Mehdi, and Z. Hamidreza. 2012, January. A practical eco-environmental distribution network planning model including fuel cells and non-renewable distributed energy resources. Renewable Energy 36(1):179–88. doi: 10.1016/j.renene.2010.06.019.
  • Baran, M. E., and F. F. Wu. 1989, April. Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Transaction on Power Delivery 4 (2):1401–07. doi:10.1109/61.25627.
  • Bayod-Rujula, A. A. 2009, March. Future development of the electricity systems with distributed generation. Energy 34(3):377–83. doi: 10.1016/j.energy.2008.12.008.
  • Capitanescu, F., L. F. Ochoa, H. Margossian, and N. D. Hatziargyriou. 2015, January. Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems. IEEE Transactions on Power Systems 30(1):346–56. doi: 10.1109/TPWRS.2014.2320895.
  • Chen, C., M. Lan, C. Huang, Y. Hong, and S. H. Low, 2013, December. Demand response optimization for smart home scheduling using genetic algorithm. IEEE International Conference on Systems. Manchester 1461–65. doi: 10.1109/SMC.2013.252.
  • Damavandi, M. G., J. R. Marti, and V. A. Krishnamurthy. 2018, October. A methodology for optimal distributed storage planning in smart distribution grids. IEEE Transactions on Sustainable Energy 9(2):729–40. doi: 10.1109/TSTE.2017.2759733.
  • El-Khattam, W., Y. G. Hegazy, and M. M. A. Salama. 2005, May. An integrated distributed generation optimization model for distribution system planning. IEEE Transactions on Power Systems 20 (2):1158–65. doi:10.1109/TPWRS.2005.846114.
  • Georgilakis, P. S., and N. D. Hatziargyriou. 2015, March. A review of power distribution planning in the modern power systems era: Models, methods and future research. Electric Power Systems Research 121 (2):89–100. doi:10.1016/j.epsr.2014.12.010.
  • Gopiya Naik, S. N., D. K. Khatod, and M. P. Sharma. 2015, January. Analytical approach for optimal siting and sizing of distributed generation in radial distribution networks. IET Generation, Transmission and Distribution 9(1):209–20. doi: 10.1049/iet-gtd.2014.0603.
  • Growe-Kuska, N., H. Heitsch, and W. Romisch, 2003, January. Scenario reduction and scenario tree construction for power management problems. IEEE Bologna Power Tech Conference Proceedings. Bologna, Italy 3:7–10. doi: 10.1109/PTC.2003.1304379.
  • Haffner, S., L. F. A. Pereira, L. A. Pereira, and L. S. Barreto. 2008. Multistage model for distribution expansion planning with distributed generation-part I: Problem formulation. IEEE Transaction on Power Delivery 23 (2):915–23. doi:10.1109/TPWRD.2008.917916.
  • Hamid, H., and J. Alireza. 2018, October. Optimal sizing and location of renewable energy based DG units in distribution systems considering load growth. International Journal of Electrical Power & Energy Systems 101(2):356–70. doi: 10.1016/j.ijepes.2018.03.038.
  • Hassanniakheibari, M., S. H. Hosseini, and S. Soleymani. 2020, April. Demand response programs maximum participation aiming to reduce negative effects on distribution networks. International Transactions on Electrical Energy Systems 30 (8):e12444. doi:10.1002/2050-7038.12444.
  • Imran, A. M., M. Kowsalya, and D. P. Kothari. 2014, March. A novel integration technique for optimal network reconfiguration and distributed generation placement in power distribution networks. International Journal of Electrical Power & Energy Systems 63 (1):461–72. doi:10.1016/j.ijepes.2014.06.011.
  • Injeti, S. K., and N. P. Kumar. 2011. Optimal planning of distributed generation for improved voltage stability and loss reduction. International Journal of Computer Appllication L 2 (February):34–56. doi:10.5120/1910-2545.
  • Jadoun, V. K., V. C. Pandey, N. Gupta, K. R. Niazi, and A. Swarnkar. 2018. Integration of renewable energy sources in dynamic economic load dispatch problem using an improved fireworks algorithm. IET Renewable Power Generation 12 (9):1004–11. doi:10.1049/iet-rpg.2017.0744.
  • Kanwar, N., N. Gupta, K. R. Niazi, and A. Swarnkar. 2017, October. Optimal allocation of DGs and reconfiguration of radial distribution Systems using an intelligent search-based TLBO. Electric Power Components and Systems 45(5):476–90. doi: 10.1080/15325008.2016.1266714.
  • Kaveh, A., and T. Bakhshpoori. 2016. Water evaporation optimization: A novel physically inspired optimization algorithm. Computers & Structures 167 (1):69–85. doi:10.1016/j.compstruc.2016.01.008.
  • Khawaja, K. M., U. K. Saad, J. L. Soon, M. H. Zunaib, K. R. Muhammad, and H. K. Chul. 2018, January. A real-time optimal coordination scheme for the voltage regulation of a distribution network including an OLTC, capacitor banks, and multiple distributed energy resources. International Journal of Electrical Power & Energy Systems 94(1):1–14. doi: 10.1016/j.ijepes.2017.06.024.
  • Koutsoukis, N., P. Georgilakis, and N. Hatziargyriou. 2017, October. Active distribution network planning based on a hybrid genetic algorithm-nonlinear programming method. CIRED - Open Access Proceedings Journal 2017 (1):2065–68. doi:10.1049/oap-cired.2017.0771.
  • Liu, W., S. Niu, and H. Xu. 2017, March. Optimal planning of battery energy storage considering reliability benefit and operation strategy in active distribution system. Journal of Modern Power Systems and Clean Energy 5 (2):177–86. doi:10.1007/s40565-016-0197-4.
  • Martins, V. F., and C. L. T. Borges. 2011, November. Active distribution network integrated planning incorporating distributed generation and load response uncertainties. IEEE Transactions on Power Systems 26(4):2164–72. doi: 10.1109/TPWRS.2011.2122347.
  • Meena, N. K., A. Swarnkar, N. Gupta, and K. R. Niazi. 2018, June. Optimal integration of DERs in coordination with existing VRs in distribution networks. IET Generation, Transmission and Distribution 12 (11):2520–29. doi:10.1049/iet-gtd.2017.1403.
  • Mohanty, B., and S. A. Tripathy. 2016, January. A teaching learning based optimization technique for optimal location and size of DG in distribution network. Journal of Electrical Systems and Information Technology 3(1):33–44. doi: 10.1016/j.jesit.2015.11.007.
  • Moradi, M. H., and M. Abedini. 2012. A combination of genetic algorithm and particle swarm optimization for optimal distributed generation location and sizing in distribution systems with fuzzy optimal theory. International Journal of Green Energy 9 (7):641–60. doi:10.1080/15435075.2011.625590.
  • Naderi, E., H. Seifi, and M. S. Sepasian. 2012, May. A dynamic approach for distribution system planning considering distributed generation. IEEE Transactions on Power Delivery 27 (3):1313–22. doi:10.1109/TPWRD.2012.2194744.
  • Nara, K., Y. Hayashi, K. Ikeda, and T. Ashizawa, 2001. Application of tabu search to optimal placement of distributed generators. IEEE power engineering society winter meeting 918–23. doi: 10.1109/PESW.2001.916995.
  • Nayak, M. R., S. K. Dash, and P. K. Rout. 2012, December. Optimal placement and sizing of distributed generation in radial distribution system using differential evolution algorithm. International Conference on Swarm, Evolutionary, and Memetic Computing 20:133–42. Springer, Berlin, Heidelberg. doi: 10.1007/978-3-642-35380-2_17.
  • Neelakanteshwar, R. B., A. R. Abhyankar, and N. Senroy. 2015, December. DG planning with amalgamation of economic and reliability considerations. International Journal of Electrical Power & Energy Systems 73(1):273–82. doi: 10.1016/j.ijepes.2015.05.006.
  • Ouerfelli, H., and A. Dammak. 2013, April. The genetic algorithm with two point crossover to solve the resource-constrained project scheduling problems. International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), Hammamet 1–4. doi:10.1109/ICMSAO.2013.6552686.
  • Rawat, T., K. R. Niazi, N. Gupta, and S. Sharma. 2021, Nov. Impact analysis of demand response on optimal allocation of wind and solar based distributed generations in distribution system. Energy Sources, Part B: Economics, Planning, & Policy 16 (1):75–90. doi:10.1080/15567249.2020.1844346.
  • Reza, H., A. H. Rahmat, and T. Nabi. 2015, December. Distribution network expansion planning and DG placement in the presence of uncertainties. International Journal of Electrical Power & Energy Systems 7:665–73. doi: 10.1016/j.ijepes.2015.05.024.
  • Safdarian, A., F. F. Mahmud, and L. Matti. 2016, March. Benefits of demand response on operation of distribution networks: A case study. IEEE Systems Journal 10(1):189–97. doi: 10.1109/JSYST.2013.2297792.
  • Sambaiah, K. S., and T. Jayabarathi. 2020, November. Loss minimization techniques for optimal operation and planning of distribution systems: A review of different methodologies. International Transactions on Electrical Energy Systems 30 (2):e12230. doi:10.1002/2050-7038.12230.
  • Sharma, S., K. R. Niazi, K. Verma, and T. Rawat. 2020, November. Impact of battery energy storage, controllable load and network reconfiguration on contemporary distribution network under uncertain environment. IET Generation, Transmission and Distribution 14 (21):4719–27. doi:10.1049/iet-gtd.2020.0369.
  • Sharma, S., K. R. Niazi, K. Verma, and R. A. Thokar. 2019, May. Bilevel optimization framework for impact analysis of DR on optimal accommodation of PV and BESS in distribution system. International Transactions on Electrical Energy Systems 29 (9):e12062. doi:10.1002/2050-7038.12062.
  • Silvio, S., R. Ruben, and J. R. Marcos. 2010. Efficient heuristic algorithm used for optimal capacitor placement in distribution systems. International Journal of Electrical Power & Energy Systems 32 (1):71–78. doi:10.1016/j.ijepes.2009.06.024.
  • Sultana, S., and P. K. Roy. 2014. Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems. International Journal of Electrical Power & Energy Systems 63 (1):534–45. doi:10.1016/j.ijepes.2014.06.031.
  • Teng, J. H., Y.-H. Liu, C.-Y. Chen, and C.-F. Chen. 2007, March. Value-based distributed generator placements for service quality improvements. International Journal of Electrical Power & Energy Systems 29 (3):268–74. doi:10.1016/j.ijepes.2006.07.008.
  • Wang, L., and C. Singh. 2008, September. Reliability-constrained optimum placement of reclosers and distributed generators in distribution networks using an ant colony system algorithm. IEEE Transactions on Systems 38(6):757–64. doi: 10.1109/TSMCC.2008.2001573.
  • Wartana, I. M. 2015, January. A multi-objective problems for optimal integration of the DG to the grid using the NSGA-II. International Conference on Quality in Research (QiR), Lombok:106–10. doi: 10.1109/QiR.2015.7374906.
  • Yang, B., L. Yu, Y. Chen, H. Ye, R. Shao, H. Shu, T. Yu, X. Zhang, and L. Sun. 2021, March. Modelling, applications, and evaluations of optimal sizing and placement of distributed generations: A critical state of the art survey. International Journal of Energy Research 45(3):3615–42. doi: 10.1002/er.6104.
  • Zeng, B., J. Zhang, X. Yang, J. Wang, J. Dong, and Y. Zhang. 2014, December. Integrated planning for transition to low-carbon distribution system with renewable energy. IEEE Transactions on Power Systems 29(3):1153–65. doi: 10.1109/TPWRS.2013.2291553.
  • Ziari, I., G. Ledwich, A. Ghosh, and G. Platt. 2013, May. Optimal distribution network reinforcement considering load growth, line loss, and reliability. IEEE Transaction on Power System 28(2):587–97. doi: 10.1109/TPWRS.2012.2211626.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.