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Mandal, Kamal Krishna
- Comparative Performance Analysis of Variants of Particle Swarm Optimization of Optimal Reactive Power Dispatch
Abstract Views :239 |
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Authors
Affiliations
1 Dr Sudhir Chandra Sur Degree Engineering College, Kolkata – 700074, West Bengal, IN
2 Power Engineering Department, Jadavpur University, Kolkata – 700098, IN
1 Dr Sudhir Chandra Sur Degree Engineering College, Kolkata – 700074, West Bengal, IN
2 Power Engineering Department, Jadavpur University, Kolkata – 700098, IN
Source
Power Research, Vol 15, No 1 (2019), Pagination: 16-24Abstract
The Optimal Reactive Power Dispatch (ORPD) is non-linear problem and is a very effective tool in modern power system for designing a more secure and economic system. It has control variables, which are a combination of continuous and discrete and helps in obtaining the most optimized result satisfying all the equality and inequality constraints. The results obtained not only reduces the real power losses of the system but also helps in restricting the voltage deviation to a much greater extent and thus maintaining the stability of the entire system. In this paper, the ORPD problem is solved as a single objective problem with two different objectives like minimization of real power loss and minimization of voltage deviation. Here, four different variants of PSO are used to solve the problem and the results are compared. The algorithms considered in this paper are tested on IEEE 30 bus and IEEE 57 bus system.Keywords
ORPD, Particle Swarm Optimization, PSO Variants, Real Power Loss, Single Objective, Voltage Deviation.
References
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- Ghatak SR, Sannigrahi S, Acharjee P. Comparative performance analysis of DG and DSTATCOM using improved PSO based on success rate for deregulated environment. IEEE Systems Journal. 2017; 12(3):2791–802. https://doi.org/10.1109/JSYST.2017.2691759
- Washington University [Internet]. Available from: https://www2.ee.washington.edu/research/pstca/
- Optimal Single Point Injection of PV based DG Maximizing Technical, Social and Environmental Benefits in Radial Distribution Systems using JAYA Algorithm
Abstract Views :225 |
PDF Views:0
Authors
Affiliations
1 Dr Sudhir Chandra Sur Degree Engineering College, Kolkata – 700074, West Bengal, IN
2 Power Engineering Department, Jadavpur University, Salt Lake Campus, Kolkata – 700098, IN
1 Dr Sudhir Chandra Sur Degree Engineering College, Kolkata – 700074, West Bengal, IN
2 Power Engineering Department, Jadavpur University, Salt Lake Campus, Kolkata – 700098, IN
Source
Power Research, Vol 15, No 1 (2019), Pagination: 39-45Abstract
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.Keywords
Benefit Cost Ratio (BCR), Distribution Network, Emission Cost Benefit Index (ECBI), Renewable Energy, Voltage Profile Enhancement Index (VPEI), Voltage Stability Index (VSI).References
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- 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
- 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
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- Gandomkar M, Vakilian M, Ehsan M. A genetic-based Tabu Search Algorithm for Optimal DG Allocation in distribution networks. Electric Power Components and Systems. 2007 Feb; 33(12):1351–62. https://doi.org/10.1080/15325000590964254
- 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
- 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
- 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
- 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
- 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
- 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
- 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