Study Of Transient Stability For Ieee 14 Bus Power System

A power system is always in a state of disturbance that may lead to instability in the system. The consequences of a major power supply interruption can prove to be so disastrous, that every effort must be made to reduce the impact of such a disturbance. The process of determining the steadiness of the power system following any upset is known as security assessment. In particular, MW security assessment is a process to evaluate the security of the power system following a disturbance. It is done considering the loading conditions in respect of MW power flow on the lines. Each line has a capacity to carry MW power up to transmission line design limits beyond which the lines may trip due to overloading. In this paper MW security assessment has

​The main purpose of the wind energy is to create energy source which is pollution free and come with a reasonable price. The wind energy used in wind turbines are increasing their demand and becoming popular in the green energy world. Since the rebirth or rapid growth of wind energy took place from early 1980. The growth of the industry has been more than expectations. As all the good things the wind energy poses certain negative impacts of having high maintainer cost. Repair and data collection should be monitored regularly of the turbine to get the idea of placing a new wind energy plant or to maintain the old one. This paper explains the modeling of Wind Energy Conversion Systems and their technologies which is used for the generation of wind power and control strategies of the conversion system.

The DVR is one of the most common and effective solutions for protecting critical load against voltage sags [10] [11]. The DVR is a power electronic device used to inject three-phase voltages in series and in synchronism with the distribution feeder voltages in order to compensate for voltage sags. Moreover, it can be efficiently used to augment the fault ride through capability in wind applications. Detection time is an important factor in the voltage restitution process. Fast detection

Optimum use of renewable source of energy like Wind can be considered as one of the answer to rapid increase in the demand of energy worldwide. Using the current technological advancements it is commercially viable to use the wind power as a source of energy for small scale to large scale industry.All kind of renewable source are highly dependent on environmental conditions and can not be controlled fully. Due to this inherent characteristics, power generation may vary. In the

Induction generator is the most common generator in wind energy systems because of its simplicity, ruggedness, low maintenance and low cost. The main drawback in induction generator is its consumption of reactive power for producing the real power. The VAR compensation can be done with the help of fixed capacitance connected near the Induction generator. The fixed capacitance method of VAR compensation is generally done when the torque applied to the induction generator is constant.

Abstract: A hybrid generation is a part of large power system in which number of sources usually attached to a power electronic converter and loads are clustered can operate independent of the main power system. The protection scheme is crucial against faults based on traditional over current protection since there are adequate problems due to fault currents in the mode of operation. This paper adopts a new approach for detection, discrimination of the faults for multi terminal transmission line protection in presence of hybrid generation. Transient current based protection scheme is developed with discrete wavelet transform. Fault indices of all phase currents at all terminals are obtained by analyzing the detail coefficients of current signals using bior 1.5 mother wavelet. This scheme is tested for different types of faults and is found effective for detection and discrimination of fault with various fault inception angle and fault impedance.

Abstract—This paper presents a voltage and frequency control of wind-hydro hybrid system in isolated locations in which one squirrel cage induction generator (SCIG) driven by a variable speed wind turbine and another SCIG driven by a constant power hydro turbine feeding three phase four wire local loads. The system mainly uses a rectifier and a pulse width modulation controlled insulated-gate-bipolar-transistor-based voltage-source converters (VSCs) with a battery energy storage system at their dc link. The main objectives of the rectifier is to convert the ac power generated by the wind system to dc and the control algorithm for the VSC is the control of the magnitude and the frequency of the load voltage. This system has the capability of bidirectional active- and reactive-power flow, by which it controls the magnitude and the frequency of the load voltage. Here pitch angle control is used to achieve maximum power tracking(MPT).In this paper wind turbine, hydro turbine, MPT controller, and a voltage and frequency controller are modeled and simulated in MATLAB using Simulink and Sim Power System set toolboxes, and different aspects of the proposed system are studied for various types of loads, and under varying wind-speed conditions. The performance of the proposed system is presented to demonstrate its capability of MPT, voltage and frequency control (VFC), harmonic elimination, and load balancing.

Task 1. Data Collection and Analysis: The first task to accomplish the goals of the project is to collect high quality data that consist of the wind velocity field and profile, wind turbine’s dynamic responses and the power production. Due to the wind velocity fluctuation or high intensity turbulence which is an important characteristic of the wind in atmospheric boundary layer, the rotor and the tower of a wind turbine normally experience extensive fluctuating dynamic loads. Because of the randomness nature of these fluctuations, limitations in numerical simulations and scale related issues in laboratory tests, field wind data collection is super beneficial for scientific evolution of wind turbines. During the last years, a high quality remote system is introduced and implemented by wind energy developers to capture the wind data in-front of the wind

Fig. 7 (a-b) show the real and imaginary parts of the rotor voltage respectively for all operating wind speeds. As shown in Figs. 7(a) and 7(b), increasing of DFIG stator lead reactive power, increases the real and imaginary part of rotor voltage which supplied by the rotor converter. Increasing DFIG stator lag reactive power, decreases the real part of rotor voltage in all speed range, increases the imaginary part of rotor voltage in sub-sunchronous speed range and decreases the imaginary part of rotor voltage in super-sunchronous speed range.

Large-scale smart grid initiatives require fast and accurate monitoring of power system network. Phasor Measurement Unit (PMU) is one of the major components which are increasingly deployed in the power system network to provide the necessary infrastructure to cater smart grid requirements. PMUs provide time synchronized measurement of voltage and current phasors (Phadke and Thorp 2008) from different nodes of the power system network, which is used for monitoring and control. NASPI (March 2015) and NERC (September 2016) suggest use of phasor data from the PMUs to perform verification of dynamic models as well as validating parameters of power plant models. A parameter identification toolbox for power system models developed using the

The development of power electronics devices such as Flexible AC Transmission System (FACTS) and customs power devices have introduced and emerging

Abstract- Wind energy is an affordable, efficient and abundant source of electricity. The wind energy farms are differed as of on-shore and off-shore. Though wind energy seems to be an solution for growing world energy needs its there are hurdles in its generation. This article will discuss about a case study of an off-shore based wind energy power plant and discuss about basic analysis types and their corresponding application in WT’s system safety aiming to let more experts deeply understand the current research status. We shall also discuss about recent innovation in Wind turbine technology and our own idea of using the latest innovation in different area.

Reactive power in a power system is important to maintain or support the voltage to deliver the active power demanded by the load side. Synchronous generators are the main source of reactive power in most of the power plants. The reactive power capability of the generator is the amount of the reactive support produced at the rated generator terminals. The capability of these generators are represented by capability curves that are published by the manufacturer based solely on the thermal limitations as shown in figure-1. But in the real world, when the generator is employed in a power plant, its reactive capability is much less compared to that of published generator capability due to several design and operating constraints of the plant. This forms the basis to determine the reactive capability of the generator operating in the power plant.

Moreover, the expected separation area(s), i.e., power system islands, and the critical series components, i.e., islands' boundaries using the equivalent of parallel components, are not accurately determined. The simplest example of the direct methods is the EAC. The EAC method is enhanced to be applicable to multi-machine systems, i.e., extended equal area criterion (EEAC) [82]. The EEAC method reduces the interconnected system into a two equivalent machine system or a single machine infinite bus. Hence, this method can be used only for the classical generator equivalent model, i.e., swing equation model or second-order model [76],[6]. An attempt has been made to overcome the limitations of both time-domain and Lyapunov-like functions by combining them, i.e., hybrid methods [6],[5]. The hybrid method also can be the result of combining time-domain and EEAC methods [83], i.e., Single Machine Equivalent (SIME) Method, to allow the use of detailed generator models. However, they are valid only for unstable cases and fault duration relatively close to the fault clearing time [76]. Also, all direct methods depend on the fault-on trajectory [84] which is not accurate for a fault followed by tripping a line and it is not valid for other contingencies not associated with faults. Machine learning/pattern recognition techniques also are used for transient stability

Microgrid as an aggregator manages power scheduling of DERs and RESs to serve sustainably and reliably through energy management system (EMS) [4], [5]. Employing EMS, microgrid not only alleviates undesirable impacts of intermittencies pertained to RESs, DERs and load, but also provides secure energy services according to smart grid provisional objectives [6],[7]. EMS is in charge of synchronization with the main grid, voltage and frequency control through power balancing and preserving secure operational margins [8],[9],[10],[11],[12].