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The power regulation and distribution in smart cities has been well studied. There exists number of methods around the problem. Some of the method uses the voltage availability in the grids of power system and some of them use the cost of energy in the power grids. However, the methods suffer to achieve higher performance in power distribution and regulation. To handle this issue, an efficient Market Orient Wind Energy Regulation Model (MWERM) is presented in this article. The model monitors the production voltage in the power distribution system and market requirement at specific time. Based on that the method computes Market Requirement Factor (MRF) and Market Remuneration Factor (MReF) to compute the Market Energy Cost (MEC). The above factors are measured for various consumers and based on that the method identifies the energy distributor and perform regulation accordingly. The proposed method improves the performance of power distribution and regulation.

Data streaming has been identified as a key challenge in Mobile networks. Mobile handover is the key factor in maintaining data streaming and there exist number of approaches available which perform mobility handover according to energy, signal strength, and mobility speed. However, the methods suffer to achieve higher performance in data streaming. To handle this issue, an efficient Mobility and Energy based Streaming Model (MESM) is presented in this article. The method maintains the traces of streaming and network conditions like number of base stations with node details like energy, mobility speed and data rate received, signal strength, data rate required. Using all these details, the proposed model estimates Data Rate Factor (DRF) at each interval. The method identifies set of base station and routes to compute DRF factor according to the statistics. Based on the value of DRF value, the method performs handover with different base station. The proposed MESM improves the performance of handover and data streaming.

The data security in smart grid systems is well studied. There exists number of approaches around the problem. But still they suffer to achieve higher performance in data security which degrades the performance of the grid system. To handle this issue, an efficient Service centric blockchain data security model (SBDSM) is presented in this article. Unlike previous methods, the proposed SBDSM model uses different signature of blockchain for different service data. The method use blockchain data towards sharing data between the grids which used to control the mode as well as flow of voltage in the grid. The model has a controller which decides the flow of voltage to be regulated from the micro grid. This information has been communicated from the controller to the micro grid through the blockchain. The micro grid can identify the type of information from the signature of the blockchain data and the hash code. The model monitors the incoming voltage and finds set of microgrids to be switched to discharge mode and informed with the amount of voltage to be regulated from the microgrid. This information is hidden in the block of the chain. By receiving the blockchain, the microgrid would extract the data and decrypt the voltage level to be regulated for the current cycle. Similarly, to perform switching of the microgrid, the controller sends another blockchain which has information about the mode the microgrid to be work on at the current cycle. The proposed method improves the data security and performance of voltage regulation.

The problem of power grid performance management has been well studied. There exist numerous techniques towards this problem which consider limited parameters like energy of feeders, production of grids and so on. However, they suffer to achieve higher performance of grid networks. To handle this problem, an efficient Multi-Objective Feeder Optimization Model (MFOM) is presented in this article. The method focused on improving the performance of feeders by stimulating the usage of electricity available with the feeders. To perform this, the method monitors the feeder status about their average residual energy, average power production and average power drain. Using these factors, the method triggers the specific set of feeders for the power requirement by computing Multi-Objective Feeder Power Quality (MFPQ). According to the MFPQ value, the model identifies set of feeders for the current cycle to support the power requirement of any electrical system. The proposed MFOM model improves the performance of power utilization and power stability.

Solar energy, amongst a variety of sustainable energy sources, is the main energy and has quickly acquired its importance. A sun-based global positioning framework can provide generous levels of energy that make the utility of solar chargers much more efficient. The inverse proportionality of solar rays and solar-powered chargers is an explanation for their efficiency: financially, the initial cost and development components of a model for a sun-oriented global positioning framework with a sole opportunity center. The basic control circuitry relies on the NodeMcu microcontroller. The gadget is programmed such that the LDR sensor guides the DC motor in the direction the solar charger should turn, depending on the sun's rays. This positions the solar charger to capture the maximum amount of sunlight. In relation to other motors, DC motors are the simplest and smoothest motors, with high power and moderately slow speed. All exceptions can be accounted for and programmed to adjust course. 1985 saw the first production of solar-based silicon cells with 20% efficiency. But while improving the efficiency of solar chargers had compelling benefits, error-free was a great goal. Below 40% most boards float to work. To meet individual needs or buy own frameworks with appropriate results group of people need to buy different boards. [ABSTRACT FROM AUTHOR]

Power quality is extensive term to describe the effectiveness and its performances. The main task of power system is to supply their customer a continuity power supply at ever, because of the whole power system is the big network which includes different types of loads, at the instant of common compiling sensitive loads connected in which voltage distortion in supply side or load side is highly repellent. Voltage dip is the most frequent arising power quality issues mainly occurs in distribution system due to faults, connecting nonlinear loads, since it's a main disturbance for domestic and industrial equipment. In this paper to diminish the voltage drop, fuzzy logic controller based dynamic voltage restorer is used in three phase parallel distribution system. Fuzzy logic controller is used manage the DVR output. The performance evolution and result is simuted using MATLAB/SIMULINK. Fuzzy control rule is optimizing using Gaussian membership function by apply if then rule. [ABSTRACT FROM AUTHOR]

To make developed country, recent year India shift towards the research area for the development to lead the research. The main task of power system is to supply their customer a continuity power supply at ever, but in action it's not take place; because of the whole power system is the big network which includes different types of loads, at the instant of common compiling sensitive loads connected in which voltage distortion in supply side or load side is highly repellent. Voltage dip is the most frequent arising power quality issues mainly occurs in distribution system since it main causes disturbance for domestic and industrial equipment. In this paper the simulink model of DVR for reduction of voltage sag and its control by reference frame theory algorithm has carried in MATLAB simulink to enhance the power quality issues. [ABSTRACT FROM AUTHOR]

Power quality is an extensive term to describe the effectiveness and its performances. The main task of power system is to provide their customer a continuity power supply forever, because the whole power system is a big network which includes different types of loads. At the instant of common coupling, connected sensitive loads in which voltage distortion in supply side or load side is highly repellent. Voltage dip is the most frequently arising power quality issue mainly occuring in distribution system due to faults, connecting nonlinear loads, since it is a main disturbance for domestic and industrial equipment. In this paper to diminish the voltage drop, fuzzy logic controller based dynamic voltage restorer is used in three-phase parallel distribution system. The Fuzzy logic controller is used to manage the DVR output. The performance evolution and result is simulated using MATLAB/SIMULINK. The Fuzzy control rule is optimized using Gaussian membership function by applying if-then rule. [ABSTRACT FROM AUTHOR]