Abstract:The challenging process industry requires true power for its smooth functioning and here comes the importance of good power or power. The term Power Quality (PQ) aims at supplying true power to the process.
The quality of power is important one of the distribution system, and it identify the voltage and current based distribution system power quality problem. The Voltage sag and swell is also to create power quality problem. In this power quality problem creates the frequency oscillation in the distribution system, so the output stability is affected. Because of this limitation, design of these improved model of controlling are properly required. The UPQC (Unified Power Quality Conditioner) is utilized to compensate the power quality problem and reduce the unbalanced voltage of this system. The proposed Substantial Transformation Intrinsic Algorithm (STIA) based UPQC is used to analysis the unbalanced voltage of this power distribution system. This proposed UPQC system is inject the real power to the transmission line, so the unbalanced voltage is compensate. Such that the injected voltage is controlled with help of series nd shunt active filter, and the angle of voltage injection is also controlled. The proposed STIA technique is used to give the proper pulse of this shunt and series converter to optimize the power quality problem with help of injecting the real power in this transmission line. The proposed Substantial Transformation Intrinsic Algorithm (STIA) method has run through the SIMULINK model, and this system attain the good performance, reduce the losses and increase the stability of power transmission line.
The term power quality becomes one of the touching concepts in present day economy. Due to its increased concern in the emerging industries, the importance of delivering true power is of a key issue. The concept of true power mainly depends on how correctly the issues like voltage sag and voltage swell are mitigated. Among all the power quality problems, the above mentioned are of key importance. This is because of the extensive use of newly invented as well as the outdated sensitive equipments connected to the load. Sensitivity is the main cause of the above power quality problems and it cannot be eliminated completely as it has many other operating properties. So the next possible solution is to correct the problems caused by the sensitive equipments connected to the faulty loads. The occurrence of sag and swell varies with equipment, environment, process operations, desired control schemes etc. by referring IEEE standards, the power quality events will last only for small instants. Thus the real time detection becomes a really tough task and even a small instant variation will cause a series of problems to the process industry. The dynamic voltage restorer is a special type of power device used for providing consistent and reliable supply power to the load devices. Dynamic voltage restorer uses a vector control strategy for mitigating power quality problems by automatically detecting and injecting the voltage components through an injection transformer. Repeated occurrence of sag and swell will cause these equipments to malfunction. Here comes the importance of soft computing techniques like fuzzy logic. With the help of a newly developed fuzzy rule base, the system will be able to correct repeated occurrences of the power quality problems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.