EP Based PSO Method for Solving Multi Area Unit Commitment Problem with Import and Export Constraints

Venkatesan, K.,Selvakumar, G.,Rajan, C. Christober Asir The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.2

This paper presents a new approach to solve the multi area unit commitment problem (MAUCP) using an evolutionary programming based particle swarm optimization (EPPSO) method. The objective of this paper is to determine the optimal or near optimal commitment schedule for generating units located in multiple areas that are interconnected via tie lines. The evolutionary programming based particle swarm optimization method is used to solve multi area unit commitment problem, allocated generation for each area and find the operating cost of generation for each hour. Joint operation of generation resources can result in significant operational cost savings. Power transfer between the areas through the tie lines depends upon the operating cost of generation at each hour and tie line transfer limits. Case study of four areas with different load pattern each containing 7 units (NTPS) and 26 units connected via tie lines have been taken for analysis. Numerical results showed comparing the operating cost using evolutionary programming-based particle swarm optimization method with conventional dynamic programming (DP), evolutionary programming (EP), and particle swarm optimization (PSO) method. Experimental results show that the application of this evolutionary programming based particle swarm optimization method has the potential to solve multi area unit commitment problem with lesser computation time.

Seasonal variability of cyclone heat potential and cyclonic responses in the Bay of Bengal characterized using moored observatories

Vengatesan, G.,Shanmugam, P.,Venkatesan, R.,Vedachalam, N.,Joseph, Jossia K. Techno-Press 2020 Ocean systems engineering Vol.10 No.2

Cyclone Heat Potential (CHP) is an essential parameter for accurate prediction of the intensity of tropical cyclones. The variability of the heat storage in the near-surface layers and the vertical stratification near the surface due to large fresh water inputs create challenges in predicting the intraseasonal and interannual evolution of monsoons and tropical cyclones in the Bay of Bengal. This paper for the first time presents the D26- referenced cyclone heat potential observed in the Bay of Bengal during the period 2012-17 based on the in-situ data collected from 5.5 million demanding offshore instrument-hours of operation in the Ocean Moored Buoy Network for Northern Indian Ocean (OMNI) buoy network by the National Institute of Ocean Technology. It is observed that the CHP in the Bay of Bengal varied from 0-220 kJ/㎠ during various seasons. From the moored buoy observations, a CHP of ~ 90 kJ/㎠ with the D26 isotherm of minimum 100m is favorable for the intensification of the post-monsoon tropical cyclones. The responses of the D26 thermal structure during major tropical cyclone events in the Bay of Bengal are also presented.

Evaluation and Comparison of Mechanical Properties of Natural Fiber Abaca-sisal Composite

K. Venkatesan,G. B. Bhaskar 한국섬유공학회 2020 Fibers and polymers Vol.21 No.7

With the high usage of the synthetic fiber, the amount of the waste materials has increased as the degradationprocess is quite slow and with the burning of the synthetic fibers creates toxic gas and other environmental hazards.Presentlynatural fibershas many implications like low density, cheap, high specific properties, non-abrasive and less harmful duringmanufacturing and most importantly the abundance in nature and can be made by planting. Because of which it is giving agood run compare to conventional glass and carbon fibers composites. The glass fiber composite is replaced by natural fibercomposites for environmental sustainability. Fiber extracted from plants is renewable and low levels of embodied energycompared to synthetic fibers. This paper deals with comparison of mechanical properties of a hybrid composite (abaca +sisal) and comparing the results with the ABAQUS simulation results. This hybrid composite consists of three layers with topand bottom layers of sisal fibers and the middle layer is made up of abaca fiber. These hybrid composites (sisal + abaca) werefabricated with different orientations (0 °, 45 °, 90 °) of fiber. The above said composite is fabricated by using hand layupmethod. Epoxy resin along with Huntsman Resin 951 hardener was used as the binding agent throughout the layer. Theultimate tensile strength and percentage elongation of the composite were 90 ° oriented fiber composite is found to be highervalue compared to 0 °, 45 ° oriented fiber. Flexural strength of the composite was 45 °, 90 ° orientedfiber composite havingsame value, whereas 0 ° fiber-oriented composite having least value. The ultimate shear strength of composite was 45 °oriented fiber composite is found to be higher value compare to the other two oriented fiber composites (90 °, 0 °). Thebreaking load of composite 0 ° oriented fiber composite is high value compareto the other two oriented fiber composites(45 °, 90 °). Scanning electron microscope is used to analyse the internal structural of the broken specimen.

EP Based PSO Method for Solving Multi Area Unit Commitment Problem with Import and Export Constraints

K. Venkatesan,G. Selvakumar,C. Christober Asir Rajan 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.2

This paper presents a new approach to solve the multi area unit commitment problem (MAUCP) using an evolutionary programming based particle swarm optimization (EPPSO) method. The objective of this paper is to determine the optimal or near optimal commitment schedule for generating units located in multiple areas that are interconnected via tie lines. The evolutionary programming based particle swarm optimization method is used to solve multi area unit commitment problem, allocated generation for each area and find the operating cost of generation for each hour. Joint operation of generation resources can result in significant operational cost savings. Power transfer between the areas through the tie lines depends upon the operating cost of generation at each hour and tie line transfer limits. Case study of four areas with different load pattern each containing 7 units (NTPS) and 26 units connected via tie lines have been taken for analysis. Numerical results showed comparing the operating cost using evolutionary programming-based particle swarm optimization method with conventional dynamic programming (DP), evolutionary programming (EP), and particle swarm optimization (PSO) method. Experimental results show that the application of this evolutionary programming based particle swarm optimization method has the potential to solve multi area unit commitment problem with lesser computation time.

EXPERIMENTAL VALIDATION OF A MATHEMATICAL MODEL OF A REED-VALVE RECIPROCATING AIR COMPRESSOR FROM AN AUTOMOTIVE-BRAKING SYSTEM

J. VENKATESAN,G. NAGARAJAN,R. V. SEENIRAJ,R. MURUGAN 한국자동차공학회 2010 International journal of automotive technology Vol.11 No.3

Mathematical simulation is the process of designing a model of a real system and then conducting experiments with the simulation to understand the system’s behavior. Mathematical simulation is widely used for investigating and designing compressors, and with a minimal number of simplifying assumptions, mathematical models can be used in conjunction with modern computing tools to solve complicated problems. A considerable amount of previous research has focused on the mathematical modeling of reciprocating air compressors used in automotive braking. The aim of the present work was to experimentally validate the mathematical model for such compressors. We present a simplified and effective mathematical model for estimating compressor performance, and this model can easily be executed using personal computers. Parameters such as compressor speed, discharge pressure and clearance volume were evaluated in terms of their effect on the thermodynamic behavior of compressors. The model can predict cylinder pressure, cylinder volume, cylinder temperature, valve lift and resultant torque at different crank angles; it can also predict the free air delivered and the indicated power of the compressor. Therefore, the model has been validated using experimental results.

Seismic behavior of steel and sisal fiber reinforced beam-column joint under cyclic loading

S.M. Kavitha,G. Venkatesan,Siva Avudaiappan,Chunwei Zhang 국제구조공학회 2023 Structural Engineering and Mechanics, An Int'l Jou Vol.88 No.5

The past earthquakes revealed the importance of the design of moment-resisting reinforced concrete framed structures with ductile behavior. Due to seismic activity, failures in framed structures are widespread in beam-column joints. Hence, the joints must be designed to possess sufficient strength and stiffness. This paper investigates the effects of fibers on the ductility of hybrid fiber reinforced self-compacting concrete (HFRSCC) when subjected to seismic actions; overcoming bottlenecks at the beam-column joints has been studied by adding low modulus sisal fiber and high modulus steel fiber. For this, the optimized dose of hooked end steel fiber content (1.5%) was kept constant, and the sisal fiber content was varied at the rate of 0.1%, up to 0.3%. The seismic performance parameters, such as load-displacement behavior, ductility, energy absorption capacity, stiffness degradation, and energy dissipation capacity, were studied. The ductility factor and the cumulative energy dissipation capacity of the hybrid fiber (steel fiber, 1.5% and sisal fiber, 0.2%) added beam-column joint specimen is 100% and 121% greater than the control specimen, respectively. And also the stiffness of the hybrid fiber reinforced specimen is 100% higher than the control specimen. Thus, the test results showed that adding hybrid fibers instead of mono fibers could significantly enhance the seismic performance parameters. Therefore, the hybrid fiber reinforced concrete with 1.5% steel and 0.2% sisal fiber can be effectively used to design structures in seismic-prone areas.