Maximum Loadability Enhancement with a Hybrid Optimization Method

Abstract

Nowadays, a power system is operating in a stressed condition due to the increase in demand in addition to constraint in building new power plants. The economics and environmental constraints to build new power plants and transmission lines have led the system to operate very close to its stability limits. Hence, more researches are required to study the important requirements to maintain stable voltage condition and hence develop new techniques in order to address the voltage stability problem. As an action, most Reactive Power Planning (RPP) objective is to minimize the cost of new reactive resources while satisfying the voltage stability constraints and labeled as Secured Reactive Power Planning (SCRPP). The new alternative optimization technique called Adaptive Tumbling Bacterial Foraging (ATBFO) was introduced to solve the RPP problems in the IEEE 57 bus system. The comparison common optimization Meta-Heuristic Evolutionary Programming and original Bacterial Foraging techniques were chosen to verify the performance using the proposed ATBFO method. As a result, the ATBFO method is confirmed as the best suitable solution in solving the identified RPP objective functions.

Optimization of distance formula in K-Nearest Neighbor method

“…From the data above, it can be seen the optima l comparison results in the following table 20. Therefore, the optimization should deliver the suitable solution to the problem within the context by considering various factors such as total cost, aggregation value, maximum loading point, consistency of performance, system losses, category accuracy, feature extracted and so on [22][23][24][25]. The following Table 20 is result of optimization comparison.…”

Live migration using checkpoint and restore in userspace (CRIU): Usage analysis of network, memory and CPU

“…The most important part of throughput is that there is enough bandwidth. Next, random access memory (RAM) is a volatile hardware on a computer where data will be lost when the power on the computer is turned off [25]. In RAM, data can be accessed randomly, which its function is to store temporary data and read data.…”

Optimization of detection of single line to ground fault by controlling peterson coil through ANFIS

“…Three phase short circuit (L-L-L) (@ 5%)  Three phase to ground fault (L-L-L-G) (@ 5%) 2. Un Symmetrical faults [5,[7][8][9][10]:…”

“…This is dangerous to the loads connected to it, as well as for the network isolators, as protection activates [1][2][3][4][5]. Moreover, the ground fault current is approximately three times the rated current compared to other two sound phases [6][7][8][9][10]. For this massive amount of current, an additional copper wire is needed to bear and protect the equipment, which is impossible.…”

“…These techniques include wavelet, time-frequency method, PID, FL, PID+FL, NN, and ABC [11][12][13][14][15][16][17][18][19][20]. However, artificial neural-fuzzy inference systems (ANFIS) reduces this massive current to less than the [8][9][10][11]21]. Therefore, this paper presents detection of SLGF and its self-extinguishing by using ANFIS to controlling the PC in the distribution network.…”