This paper deals with digital simulation of power system using five level inverter based UPFC to improve the power quality. The UPFC is capable of improving transient stability in a power system. It is the most complex power electronic system for controlling the power flow in an electrical power system. The real and reactive powers can be easily controlled in a power system with a UPFC. The circuit model is developed for UPFC using rectifier and inverter circuits. The control angle of the converters is varied to vary the real and reactive powers at the receiving end. The Matlab simulation results are presented to validate the model.

Abstract-This paper deals with digital simulation and implementation of power system using UPFC to improve the power quality. The UPFC is also capable of improving transient stability in a power system. It is the most complex power electronic system for controlling the power flow in an electrical power system. The real and reactive powers can be easily controlled in a power system with a UPFC. The circuit model is developed for UPFC using rectifier and inverter circuits. The control angle is varied to vary the real and reactive powers at the receiving end. The Matlab simulation results are presented to validate the model. The experimental results are compared with the simulation results. Index Terms-UPFC, Power Quality, Statcom, Compensation and matlab simulink I. INTRODUCTIONThe power-transfer capability of long transmission lines are usually limited by large signals ability. Economic factors, such as the high cost of long lines and revenue from the delivery of additional power, give strong incentives to explore all economically and technically feasible means of raising the stability limit. On the other hand, the development of effective ways to use transmission systems at their maximum thermal capability has caught much research attention in recent years. Fast progression in the field of power electronics has already started to influence the power industry. This is one direct outcome of the concept of flexible ac transmission systems (FACTS) aspects, which has become feasible due to the improvement realized in power-electronic devices. In principle, the FACTS devices could provide fast control of active and reactive power through a transmission line. The unified power-flow controller (UPFC) is a member of the FACTS family with very attractive features. This device can independently control many parameter, so it is the combination of the properties of a static synchronous compensator (STATCOM) and static synchronous series compensator (SSSC) [1].These devices offer an alternative mean to mitigate power system oscillations. Thus, an important question is the The UPFC parameters can be controlled in order to achieve the maximal desired effect in solving first swing stability problem. This problem appears for bulky power systems with long transmission lines.Various methods to reference identification of the series part, in order to improve the transient stability of the system based on: "optimal parameters"[2], "state variables" [3], and also "injection model" were studied. Finally, a new identification method based on "state variables" was proposed [4]. This paper is organized as follows. After this introduction, the principle and operation and of a UPFC connected to a network are presented. In section II, the control strategy for UPFC is introduced. Simulation results are presented in sections III. Section IV describes the conclusion. II. UPFC SYSTEMA simplified scheme of a UPFC connected to an infinite bus via a transmission line is shown in Fig.1. UPFC consists of parallel and series branches, each one contain...

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This article gives the best intellectual strength wind energy variable-speed point detection algorithm systems of transfer focused on improving instruction. Since reinforcing learning (RL) helps the variable - speed wind method to learn by direct contact with the environment. Awareness of factors of wind turbines or wind speed is not concerned. The first proposed MPPT control scheme facilitates a mix of the ANN and the Q-learning method to ensure the optimal coordination between PMSG engine speed and power. The proposed ANN-based RL MPPT control algorithm is supplied with simulation and experimental data.