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Reduction of Energy Losses in Low Voltage Distribution Network Using Labview
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This paper proposes a approach for reduction of energy losses in Low Voltage distribution network using Lab VIEW as Online monitoring system in Distribution transformer. It suggests a methodology for balancing load in all three phases by predicting, monitoring and controlling current unbalance in three phase distribution systems. A solution for node reconfiguration and reactive compensation is attempted using the results of methodology taking into consideration a typical Indian scenario for the purpose of analysis. Network reconfiguration for loss reduction in distribution systems is a very important way to save energy. The complex nature of distribution consumer loads makes it an inherently difficult optimization problem. By trying to optimize current unbalance and voltage unbalance, reactive compensation can be controlled to an extent and energy losses can be reduced.
It is proposed that a fuzzy logic based load balancing technique along with combinatorial optimization oriented expert system for implementing the load changing decision. The input is the total phase current for each of the three phases. The average unbalance per phase is calculated and is checked against a threshold value. If the average unbalance per phase is below threshold value, it can be assumed that the system is more or less balanced and any further load balancing is discarded. Otherwise, it goes for the fuzzy logic based load balancing. The output from the fuzzy logic based load balancing step is the value of load to be changed for each phase. A negative value indicates that the specific phase is less loaded and should receive the load, while a positive value indicates that the specific phase is surplus load and should release that amount of load. The load change configuration is the input to the expert system which tries to optimally shift the specific number of load points.
It is proposed that a fuzzy logic based load balancing technique along with combinatorial optimization oriented expert system for implementing the load changing decision. The input is the total phase current for each of the three phases. The average unbalance per phase is calculated and is checked against a threshold value. If the average unbalance per phase is below threshold value, it can be assumed that the system is more or less balanced and any further load balancing is discarded. Otherwise, it goes for the fuzzy logic based load balancing. The output from the fuzzy logic based load balancing step is the value of load to be changed for each phase. A negative value indicates that the specific phase is less loaded and should receive the load, while a positive value indicates that the specific phase is surplus load and should release that amount of load. The load change configuration is the input to the expert system which tries to optimally shift the specific number of load points.
Keywords
Current Unbalance, Distribution Automation, Distribution System, Expert System, Fuzzy Logic, Lab VIEW.
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