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- 저자 : C. Ramesh Babu (검색결과 3 건)
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M. Ramesh Babu,C. Venkatesh Kumar,S. Anitha 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.1
The losses in the distribution networks due to the line resistance decrease the overall effi ciency of the power distribution. Reducing the power losses and regulating the voltages within the limits are necessary to provide quality power to the consumers. The power loss can be minimized by optimum network reconfi guration and the placement of the capacitors. Considering independent network reconfi guration and placement of the capacitor is not eff ective during heavy loading conditions. This paper proposes a simultaneous network reconfi guration and capacitor placement in radial distribution network to minimize the real power losses, operating cost and to improve the bus voltages. The Johnson’s algorithm is used to fi nd the minimal spanning tree during the network reconfi guration and an adaptive whale optimization algorithm is used as an optimization method. The proposed methodology is tested on standard IEEE 33-bus and 69-bus radial distribution systems. The eff ectiveness of the proposed method is validated by comparing the results with previous result reported in the literature in terms of cost saving and loss reduction
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Venkatesh Kumar C.,Ramesh Babu M. 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
The Unit Commitment (UC) problem is a combinatorial optimization problem in power system operation with the key focus on achieving optimum commitment schedule of the generators for forecasted demand and spinning reserve. The computational complexity to determine a solution for the UC problem grows exponentially with the number of generators and system constraints. In this paper, the UC problem is formulated as a mixed-integer optimization problem and solved using novel Adaptive Binary Salp Swarm Algorithm by considering minimum up/down time limits, prohibited operating zones, spinning reserve, valve-point eff ect, and ramp rate limits. The proposed algorithm is tested for effi ciency on the standard 10-unit system, 26-unit RTS system, 54-unit IEEE 118-bus system, 20, 40, 60, 80, and 100-unit systems. Additionally, an Adaptive Multi-Objective Binary Salp Swarm Optimization Algorithm is proposed for resolving the bi-objective emission constrained UC problem and tested using a 10-unit system. The obtained results are analyzed for positive diff erences against other algorithms from the literature. The statistical analysis exhibits the effi ciency of the proposed method for large scale real-time systems.
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A. Chithambar Ganesh,M. Muthukannan,R. Malathy,C. Ramesh Babu 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.10
This paper presents the experimental results of self-healing efficiency of two different bacteria namely Bacillus sphaericus and Bacillus subtilis incorporated in with polypropylene fibre reinforced concrete. Concrete was prepared with an optimum amount of polypropylene fibre and cultured bacteria. The artificial cracks were formed in the concrete to perform this investigation. The cracked concrete was observed at constant intervals. The effectiveness of self-healing was evaluated by the mechanical test over the bacterial concrete with fibre (BCF). The results obtained from the mechanical study show that the BCF produced commendable results. The precipitation characteristic analysis was carried out by SEM and XRD diffractogram analysis was performed to confirm the precipitation in BCF. The analysis shows that there is a presence of sufficient self-healing compound in cracked concrete. The effectiveness of the developed BCF concrete in regaining strength shows a substantial increase in strength after self-healing therefore, the effectiveness of self-healing of BCF is admirable.
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