Optimal Single Point Injection of PV based DG Maximizing Technical, Social and Environmental Benefits in Radial Distribution Systems using JAYA Algorithm

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Anirban Chowdhury
Ranjit Roy
Kamal Krishna Mandal

Abstract

Power crisis is becoming a major challenge in modern day world due to ever increasing load demand leading to fast depletion of energy resources. As the number of loads connected to the distribution network increase, maintaining the voltage profile of the distribution network is becoming increasingly difficult for the network operator. The pollutants from a fossil fuel based power plant have adverse effects on the environment. This paper presents a comprehensive study on the technical, economic and environmental impacts on single point optimal allocation of DG on a radial distribution network. The test systems considered are standard IEEE 33 bus, 69 bus and 85 bus test systems.

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How to Cite
Chowdhury, A., Roy, R., & Mandal, K. K. (2019). Optimal Single Point Injection of PV based DG Maximizing Technical, Social and Environmental Benefits in Radial Distribution Systems using JAYA Algorithm. Power Research - A Journal of CPRI, 39–45. https://doi.org/10.33686/pwj.v15i1.144728

References

  1. Alam, Muttaqi, Bouzerdoum. Characterization of voltage dips and swells in a DG embedded distribution network during and subsequent to islanding process and grid re-connection. IEEE Industry Applications Society Annual Meeting. 2017; Oct 1–5. https://doi.org/10.1109/ IAS.2017.8101864
  2. Anilkumar, Devriese, Srivastava. Voltage and reactive power control to maximize the energy savings in power distribution system with wind energy. IEEE Transactions on Industry Applications. 2018 Jan–Feb, 54(1):656–64. https://doi.org/10.1109/TIA.2017.2740850
  3. Erdinç, Taşcıkaraoğlu, Paterakis, Sinim, Catalão. Comprehensive optimization model for sizing and siting of DG units, EV charging stations and energy storage systems. IEEE Transactions on Smart Grid. 2018 Jul; 9(4):3871–82. https://doi.org/10.1109/TSG.2017.2777738
  4. Ettehadi, Ghasemi, Vaez-Zadeh. Voltage stability-based DG placement in distribution networks. IEEE Transactions on Power Delivery. 2013 Jan; 28(1):171–8. https://doi.org/10.1109/TPWRD.2012.2214241
  5. Hung, Mithulananthan. Multiple distributed generator placement in primary distribution networks for loss reduction. IEEE Transactions on Industrial Electronics. 2013 Apr; 60(4):1700–8. https://doi.org/10.1109/TIE.2011.2112316
  6. Gandomkar M, Vakilian M, Ehsan M. A genetic-based Tabu Search Algorithm for Optimal DG Allocation in distribution networks. Electric Power Components simultaneous DG and and Systems. 2007 Feb; 33(12):1351–62. https://doi.org/10.1080/15325000590964254
  7. Kansal, Kumar, Tyagi. Optimal placement of different type of DG sources in distribution networks. Electrical Power and Energy Systems. 2013 May; 53:752–60. https://doi.org/10.1016/j.ijepes.2013.05.040
  8. Hedayati, Nabaviniaki, Akbarimajd. A method for placement of DG units in distribution networks. IEEE Transactions on Power Delivery. 2008 Jul; 23(3):1620–8. https://doi.org/10.1109/TPWRD.2007.916106
  9. Iqbal, Khan, Siddiqui. Optimal placement of DG and DSTATCOM for loss reduction and voltage profile improvement. Alexandria Engineering Journal. 2018 Jun; 57(2):755–65. https://doi.org/10.1016/j.aej.2017.03.002
  10. Singh, Mishra. A survey on enhancement of power system performances by optimally placed DG in distribution networks. Energy Reports. 2018; 4:129–58. https://doi.org/10.1016/j.egyr.2018.01.004
  11. Yuvaraj, Ravi. Multi-objective simultaneous DG and DSTATCOM allocation in radial distribution networks using cuckoo searching algorithm. Alexandria Engineering Journal. 2018 Dec; 57(4):2729–42. https://doi.org/10.1016/j.aej.2018.01.001
  12. Ghatak, Sannigrahi, Acharjee. Comparative performance analysis of DG and DSTATCOM using improved PSO based on success rate for deregulated environment. IEEE Systems Journal. 2018 Sep; 12(3):2791–802. https://doi.org/10.1109/JSYST.2017.2691759
  13. Rao RV. Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems. International Journal of Industrial Engineering Computations. 2016; 7:19–34. https://doi.org/10.5267/j.ijiec.2015.8.004