Autonomous Power Network Research Articles

Enhancement of Power Quality with Increased Levels of Multi-level Inverters in Smart Grid Applications

Research focuses on renewable energy-based smart grids to meet appropriate energy demands in a world where climate change and power management are becoming more significant. The smart grid is a modernized autonomous power network that can efficiently transmit electricity, save money and resources, and improve the stability of the local grid. As a result, a multi-level inverter (MLI) that is connected to the smart grid is provided in this work. To meet the requirements of the smart grid network, the inverter is controlled using a model predictive control algorithm with increased levels with the main objectives of controlling the injected power generated by the renewable source, improving the quality of the current waveform, lowering THD, and eliminating the shift phase between the current and the grid voltage.

Multilevel Inverter with Predictive Control for Renewable Energy Smart Grid Applications

In a world where climate changes and power management are becoming increasingly important, research work focuses on renewable energy based smart grid to meet adequate demands of energy. The smart grid is a modernized autonomous power network that can transmit electricity effectively, conserve resources and costs, and increase the local grid's stability. As a result, a smart grid connected multilevel inverter is presented in this work. The inverter is controlled using a model predictive control algorithm with increased levels with the primary goal of controlling the injected power generated by the renewable source, improving the quality of the current waveform, lowering THD, and eliminating the shift phase among the injected current and the grid voltage in effort to match the smart grid network's requirements. Therefore, this paper aims to show the performance analysis of multilevel inverters with predictive control for renewable energy smart grids application. The major concern was observed with most of the multi-level inverters are that with increased level total harmonic distortion (THD) is increased if switching control is not designed properly. Therefore, in this case predictive control is implemented on renewable energy based smart grid inverters to increase level with minimum voltage THD and current THD. The case analyzed voltage and current THD in the different levels of multilevel inverter. The result analysis was performed on 7, 11, 17, 21, 27, 31, 37 and 41 respectively. From result analysis it was observed that minimum THD was observed with level 31, i.e., 0.35% and at level 41 it was increased up to 0.55% which is still not high as compared to other existing MLI architectures. The result findings of proposed approach decreased THD with varying levels and outperforms better as compared to other works.

Development and Research of Electric Supply Structure of Remote Populated Areas by Diesel Power Plants

This paper analyses electric power system of diesel power plants. In this paper proposed the solutions for construction of new diesel power plant and its connection to existing power system. Russia is the largest country in the world in terms of territories using decentralized power. These include about 70% of the country area, with a population variously estimated from 10 to 20 million people. These areas are primarily located in the cold or even severe climate, e.g. Siberia, the Far East, and the Far North. The areas with decentralized electricity supply traditionally use instal- lations of small power, i.e. small power plants operating within a certain autonomous power network supplying energy for one or more neighboring communities. The basic fuel for the small-scale power plant in Russia is the diesel, the total amount of which exceeds 47 thousand, and the installed capacity reaches 15 million kilowatts. Electric power system of diesel power plants (DPP) South provides electricity to urban village Kurilsk South, located on a peninsula Kunashir Island (South Kuril Islands) with a population of approximately 6,500 people. Block diagram of the energy complex DPP Southern Kurils, is shown on Figure 1.