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Keshavan, B. K.
- Regression models in wind power forecasting
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Authors
Affiliations
1 Professor, PES Institute of Technology, 100ft. Road, BSK III Stage, Bangalore - 560 085, IN
2 Professor and Dean(Academics), PES Institute of Technology, 100ft. Road, BSK III Stage, Bangalore - 560 085, IN
3 Professor,Indian Institute of Science, C V Raman Avenue, Bangalore - 560 012, IN
4 Professor and Director (Foreign affairs and Alumni Matters), Jawaharlal Nehru Technological University Anantapur, Saradha Nagar, Ananthapuramu - 515002, IN
1 Professor, PES Institute of Technology, 100ft. Road, BSK III Stage, Bangalore - 560 085, IN
2 Professor and Dean(Academics), PES Institute of Technology, 100ft. Road, BSK III Stage, Bangalore - 560 085, IN
3 Professor,Indian Institute of Science, C V Raman Avenue, Bangalore - 560 012, IN
4 Professor and Director (Foreign affairs and Alumni Matters), Jawaharlal Nehru Technological University Anantapur, Saradha Nagar, Ananthapuramu - 515002, IN
Source
Power Research, Vol 11, No 3 (2015), Pagination: 577-584Abstract
Modeling of generation of wind power systems is useful for an effective management and balancing of a power grid, supporting real-time operations. Forecasting the expected wind power production could help to deal with uncertainties. In comparison with the mathematical approach, the data driven approach is useful where both detailed information about the system and real time measurements are unavailable. Winds being a natural phenomenon, statistical methods are more suitable for wind power plants than that of conventional power plants. In this paper, the data on the wind speed and power generated from a location in the state of Karnataka, India, has been analyzed and shown that the probability distribution of wind speed follows Rayleigh or Gaussian/Normal distribution. Short-term wind power forecasting is carried out using Autoregressive models.Keywords
Wind power forecasting,rayleigh distribution, gaussian distribution, auto - regression.
- Optimal Allocation of Distributed Generators in a Competitive Electricity Market
Abstract Views :180 |
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Authors
Affiliations
1 Assistant Professor, Department of Electrical and Electronics Engineering, The National Institute of Engineering, Mysore, IN
2 Professor and Head of the Department of Electrical and Electronics Engineering of PES Institute of Technology, Bangalore, IN
3 Managing Director of Power Research and Development Consultants Pvt. Ltd. (PRDC) Bangalore
1 Assistant Professor, Department of Electrical and Electronics Engineering, The National Institute of Engineering, Mysore, IN
2 Professor and Head of the Department of Electrical and Electronics Engineering of PES Institute of Technology, Bangalore, IN
3 Managing Director of Power Research and Development Consultants Pvt. Ltd. (PRDC) Bangalore
Source
Power Research, Vol 5, No 2 (2009), Pagination: 77-86Abstract
This paper presents a sensitivity based technique for assisting network planners to determine the optimal location and capacity of distributed generators (DG) in a capacity and location constrained distribution network with the objective of minimization of losses in a competitive electricity market. The liberalization of electricity markets has changed the way power generation technologies are valued. The issues that need to be considered in the choice of rating and positioning of DG include both technical and commercial factors. The proposed methodology takes this aspect into consideration and only from among the practicable sites specified by the Distribution system planner both optimal locations and capacity of DGs are determined. It has been applied to a test system of nine bus radial distribution network considered as capacity and location constrained for implementing DG. The technique is efficient and very much useful as it can be directly applied to any distribution network having practical constraints for implementing DG. To show the effectiveness of this technique it was applied to IEEE 6-bus system without any location or capacity constraint and the result was compared with test results of other methods. It is interesting to note that over a wide range of DG penetration the proposed methodology results in largest reduction in loss per unit DG penetration.Keywords
Distributed Generation, Optimal Allocation, Loss Sensitivity Index, Loss Reduction Index.- Power System Reliability in Distributed Generation Environment: A Review
Abstract Views :198 |
PDF Views:0
Authors
Affiliations
1 EEE Department, VTU, PES Research Centre, Bengaluru – 560085, Karnataka, IN
1 EEE Department, VTU, PES Research Centre, Bengaluru – 560085, Karnataka, IN
Source
Power Research, Vol 14, No 1 (2018), Pagination: 13-18Abstract
This paper gives the review of the research on power system reliability assessment with Distributed Generation (DG). The primary importance of a power system is to provide the economical, reliable electrical energy supply to the customers without any interruption. The evaluation and assessment of the reliability of power system is the most significant aspect in designing and planning the distribution systems so that the distributed systems should supply electrical energy in economic manner without any interruption of customer loads.Keywords
Adequacy, Distributed Generation, DG, Power System Reliability- Optimal Placement of Fuzzy Based Nonal Switched UPQC Topology with Distributed Generation for the Power Quality Enhancement in IEEE 14 Bus System
Abstract Views :228 |
PDF Views:0
Authors
Affiliations
1 EEE Department, PES University, Bangalore – 560085, Karnataka, IN
1 EEE Department, PES University, Bangalore – 560085, Karnataka, IN
Source
Power Research, Vol 15, No 1 (2019), Pagination: 1-6Abstract
An Unified Power Quality Conditioner (UPQC), owning the integration of shunt and series Active Power Filter (APF), has become a standard accepted solution in the area of current and voltage harmonics mitigation of a power system network. This paper furnishes a novel approach of nonal switched UPQC topology, supported with Distributed Generation (DG), aiming at the power quality enhancement and position optimization, placed at different locations in a standard IEEE 14 bus system. In addition to this, the behaviour of the proposed topology is analysed using Fuzzy Logic and Space Vector Pulse Width Modulation (SVPWM) as control algorithms and the outcomes are compared with the historical twelve switch UPQC topology. Simulation results of the proposal modelled in MATLAB/SIMULINK reveals the superiority of nonal switch UPQC and the optimal position of the proposed conditioner, for mitigating the harmonic issues in the standard IEEE 14 bus system.Keywords
Fuzzy Logic Controller (FLC), IEEE 14 Bus System, Nonal Switch UPQC, Power Quality (PQ), SVPWM.References
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- rinh QN, Lee HH. A low cost high performance UPQC for current and voltage harmonics compensations. 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE); 2014. p. 341–6. https://doi.org/10.1109/ISIE.2014.6864636
- Yahiya MAA, Uzair MAR. Performance analysis of DVR, DSTATCOM and UPQC for improving the power quality with various control strategies. 2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE). https://doi.org/10.1109/ PESTSE.2016.7516483. PMid:27311395
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- Sukhesh HR, Vadivu US, Karthikeyan P. Optimal placement of fuzzy based UPQC topologies for power quality enhancement in the IEEE 14 bus system. World Summit on Advances in Science, Engineering and Technology, Cambridge, UK; 2018.
- Beddar A, Bouzekri H, Babes B, Afghoul H. Experimental enhancement of fuzzy fractional order PI+I controller of grid connected variable speed wind energy conversion system. An International Journal of Energy Conversion and Management. 2016; 123:569–80. https://doi.org/10.1016/j.enconman.2016.06.070
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- Sukhesh HR, Vadivu US, Karthikeyan P. Optimal placement of fuzzy based UPQC topologies with distributed generation for power quality enhancement in the IEEE 14 bus system. International Journal of Engineering and Technology. 2018; 07(4.10):99–103. https://doi.org/10.14419/ijet.v7i4.11.20817
- Sukhesh HR, Mahesh M. Comparative analysis of the behaviour of EKF algorithm integrated classical PI controller and cascade PI-fuzzy controller. 2017 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques, Mysore; 2017. p.393–8.