Wednesday, August 1, 2018

POWER SYSTEM


Sai Info solution provide the Project Development & Training.We Develop Project for BE/ME/PHD. An electric power system is a network of electrical components deployed to supply, transfer, and use electric power. An example of an electric power system is the grid that provides power to an extended area. An electrical grid power system can be broadly divided into the generators that supply the power, the transmission system that carries the power from the generating centers to the load centers, and the distribution system that feeds the power to nearby homes and industries. Smaller power systems are also found in industry, hospitals, commercial buildings and homes. The majority of these systems rely upon three-phase AC power—the standard for large-scale power transmission and distribution across the modern world. Specialized power systems that do not always rely upon three-phase AC power are found in aircraft, eletric rail systems, 





COMPONENTS OF POWER SYSTEM 

Supplies:


                      All power systems have one or more sources of power. For some power systems, the source of power is external to the system but for others it is part of the system itself—it is these internal power sources that are discussed in the remainder of this section. Direct current power can be supplied by batteriesfuel cells or photovoltaic cells. Alternating current power is typically supplied by a rotor that spins in a magnetic field in a device known as a turbo generator. There have been a wide range of techniques used to spin a turbine's rotor, from steam heated using fossil fuel(including coal, gas and oil) or nuclear energy, falling water (hydroelectric power) and wind (wind power).


Loads:

               
            Power systems deliver energy to loads that perform a function. These loads range from household appliances to industrial machinery. Most loads expect a certain voltage and, for alternating current devices, a certain frequency and number of phases. The appliances found in your home, for example, will typically be single-phase operating at 50 or 60 Hz with a voltage between 110 and 260 volts (depending on national standards). An exception exists for centralized air conditioning systems as these are now typically three-phase because this allows them to operate more efficiently. All devices in your house will also have a wattage, this specifies the amount of power the device consumes. At any one time, the net amount of power consumed by the loads on a power system must equal the net amount of power produced by the supplies less the power lost in transmission

     

Conductors:


                          Conductors carry power from the generators to the load. In a grid, conductors may be classified as belonging to the transmission system, which carries large amounts of power at high voltages (typically more than 69 kV) from the generating centres to the load centres, or the distribution system, which feeds smaller amounts of power at lower voltages (typically less than 69 kV) from the load centres to nearby homes and industry.



ABSTRACT

the design, implementation, and experimental validation of a method for fault prognosis for power electronics systems using an adaptive parameter identification approach. The adaptive parameter identifier uses a generalized gradient descent algorithm to compute real-time  estimates of system parameters (e.g. capacitance, inductance, parasitic resistance) in arbitrary switching power electronics systems. These estimates can be used to monitor the overall health of a power electronics system, and predict when faults are more likely to occur. Moreover, the estimates can be used to tune control loops that rely on the system parameter values. The parameter identification algorithm is general in that it can be applied to a broad class of systems based on switching power converters. We present a real-time experimental validation of the proposed fault prognosis method on a 3 kW solar photovoltaic interleaved boost dc-dc converter system for tracking changes in passive component values. The proposed fault prognosis method enables a flexible and scalable solution for condition monitoring and fault prediction in power electronics systems


INTRODUCTION

Many mission-critical power electronics systems, including renewable energy integration, data center power delivery, and motor drives applications, require high reliability and availability of service. In many of these scenarios, techniques for fault prognosis are commonly employed, that is, methods for actively monitoring the system condition and predicting when failures or faults will occur. A central technology that enables fault prognosis is parameter identification, or identify-ing the values of system parameters in a real-time and online manner. By tracking the values of important system parameters in real-time, operators can actively monitor the overall health of a system and anticipate when maintenance or repairs will be needed. Moreover, fault prognosis can be achieved by monitoring if estimated parameter values are above or below an accepted tolerance range. The failure modes and mechanisms for power electronics systems have been widely investigated, for instance in. Passive components, such as capacitors and inductors, are a key failure point. Table I provides an overview of the common failure modes of passive components in a power electronics systems and the effect that these failures have on the resulting parameter value and ESR. The reasons for these failures vary widely, and include manufacturing defects, harsh environmental conditions (e.g. temperature and humidity), aging, high voltage stress, insulation failures, interconnection failures, mechanical wear, and vibrations and shocks. Moreover, the effect of the failures can be classified as either ‘hard’ or ‘soft’ faults. A hard fault is one that causes a sudden and catastrophic effect in the system (e.g. a short circuit), while a soft fault is one that causes a gradual effect or degradation in the system, generally related to lifetime wear or aging. Parameter identification has been investigated previously in the context of power electronics systems. One salient application for parameter identification in power electronics systems has been for estimating the capacitance or equivalent series resistance (ESR) of a dc-link capacitor. In many converters, the dc-link capacitor, particularly electrolytic capacitors, is one of the primary points of failure in the converter. Actively monitoring the capacitance or ESR of the capacitor enables detection and prediction of when these failures will occur.









If anyone is interested for doing Research in above subject for BTech/MTech/PHD Engineering project work
Kindly Contact Below

Contact Details:
Santosh Gore Sir
Ph:09096813348 / 8446081043 / 0253-6644344
Email: sai.info2009@gmail.com 





                

No comments:

Post a Comment

Sensor ventilator for COVID-19 The COVID-19 virus is spread by direct contact with an infected person's respiratory droplets (generated ...