CHAPTER 4 OPTIMAL PLACEMENT & SIZING OF STATCOM USING FUZZY HYBRID PSO-GS ALGORITHM 4.1 Introduction As discussed in chapter 1, placement of StatCom in power system has numerous positive impacts, but these impacts can be further enhanced if the StatCom is installed at a proper place and in a proper size. The optimal placement and sizing of StatCom is handled as an optimization problem. The problem of finding optimal placement and capacity (size) of StatCom, for improving voltage profile of load buses and also improving the voltage stability margin, is a multi-objective optimization problem. Fuzzy formulation is used to convert multi-objective optimization problem into a single objective optimization problem, is also discussed in Chapter
The method comprises the steps that firstly, the artificial bee colony algorithm is utilized for conducting weight value optimization on the neural network; secondly, the optimized neural network is utilized for predicting building energy consumption. The artificial bee colony algorithm is an optimizing algorithm simulating a bee colony and has the advantages that control parameters are fewer, implementation is easy, and calculation is convenient; compared with a particle swarm algorithm, a genetic algorithm and other intelligent computing methods, the artificial bee colony algorithm has the prominent advantages that in each iterative process, global search and local search are both performed, the probability of finding an optimal solution is greatly increased, local optimum is avoided to a great extent, and global convergence is enhanced. Thus, when the artificial bee colony algorithm is adopted to optimize the initial weight value of the neutral network, the accuracy of the neutral network predicting the building energy consumption is improved, and meanwhile the defects existing in weight value optimization of the neutral network at present can be overcome
With comparing the results of our algorithm with the results of the eight useful and prevalent algorithms. This comparison presents the superiority of exchange market-genetic algorithm (EMGA) against other usual optimization methods. Keywords: Genetic algorithm; Optimization; hybrid; evolutionary algorithm; Exchange market algorithm; stock market 1. Introduction Optimization methods have become more well-liked in the last years and expanded to cover different areas of study. The last goal of all optimization algorithms is to balance the ability of exploitation and exploration efficiently in order to find global optimum .
Split Hopkinson pressure bar Aim and objectives of work Split Hopkinson pressure bar in most versatile apparatus for regulating the active behaviour of materials. To get a simple FEM of SHPB and numerical analysis was borne away in the present investigation and to simulate dynamic compression response based on quasi-static test to amount the mechanical response at high line rates and examine the dynamic compression properties, i.e. energy absorption and compressive force at advanced strain rates, to improve full scales stress-strain curves at altered strain rates and to examine the strain rate behaviour of differing materials. Modelling and test various geometries of specimens. Compare the experimental value with numerical test result values.
The adsorption surfaces have the same affinity for molecules of the adsorbate and there is no trans-migration of adsorbate on the plane of the surface. The Freundlich equation is mostly used for data description whereas Langmuir isotherm is valid for single-layer adsorption. Adsorption is the process considered to be efficient to defluoridate the water. To defluoridize, there are many techniques but when compared to the physical and chemical methods of defluoridization, the physical method is the most suitable and economic. In physical method, various adsorbents are used to remove fluoride from water.
ADVANCE SCHEDULING ALGOITHM REVIEW - I Indresh Bhattacharya (16MCA0078) Bhanu Pratap Singh (16MCA0207) Abstract: CPU scheduling is an important part of multi programming environment. Many algorithms have been proposed over the years for getting the optimal CPU utilization considering the factors of burst time, response time and waiting time of a process. Some of the main algorithms that have been utilized to get a better performance are RR (Round Robin), SJF (shortest job first), FCFS (first come First Serve), priority Scheduling. All of the processes above have their pros and cons. But RR gives the optimal performance as compared to the others.
Based on scalar dissipation rate data, it is assumed that the exponential character of the mixing time starts where injection ends and ends roughly where the mixing controlled combustion phase is completed. It has also been assumed that in regimes I and IV mixing intensity can be represented by a constant
 Significant violations of KCL can occur even at 60 Hz, which is not a very high frequency. In other words, KCL is valid only if the total electric charge, remains constant in the region being considered. In practical cases this is always so when KCL is applied at a geometric point. When investigating a finite region, however, it is possible that the charge density within the region may change. Since charge is conserved, this can only come about by a flow of charge across the region boundary.
Minimizing the trace length reduces inductance, resistance, and the overall impedance. Multiple Bypass capacitors for wide bandwidth circuits Place multiple capacitors in ascending order A single capacitor is usually best suppressing noise over a particular frequency range but insufficient for devices operating over a wide range of frequencies. In wide bandwidth applications, the best solution is to connect several capacitors with different values in parallel. The high-value capacitors will provide a low impedance path to the low frequencies while the smaller capacitors will handle the higher frequencies. With the proper selection and placement, a designer can provide a low impedance path for all the applicable frequencies.
Smaller fault is not cleared on time can result into bigger disturbances. Such disturbances result into transient faults. Transient faults makes the power system run out of synchronism and hence lost in power system stability . It is essential to maintain synchronism between generator and system else voltage fluctuations and current fluctuation will disconnect the supply at the faulty sections.  Power system stability is Define as “The power system is said to be stable if after large disturbances, the system comes to normal working condition’’.