Abstract
This study involves a discussion of power load factors, which are important terms for power systems. The advanced load factor is suited to the power system from the power consumption site to the power station and has been studied for various feeders as Tube well, New Petaro, LMC, OCF-I, OCF-II, Old Petaro and Allama I.I Qazi of 132/11 kV grid station Jamshoro. What needs to be researched is the relatively low load factor; due to the load factor, Hyderabad Power Supply Company faces many problems such as transformer tripping, conductive heat up equipments, breakdown of insulation & reactive power failure, all of which are bad main cause of distribution system. To analyse the load impact on the distribution losses of the 07 feeders on the 132/11 kV gird station during collection & to investigate the power loss caused by load factor, the calculated peak power & minimum load data loss sources at distinct load times. After analysis, it is proved that reducing peak load to minimize peak demand and minimum load during peak period, increase b/w average load during bed period and stabilize the power distribution system to improve load factor and increase unit load factor savings are done.
Highlights
The energy crises are the key issues all over the world
The Load Factor (LF) is calculated in percentage, which plays an important role in the efficiency and reliability of the electrical system
The Load Factor (LF) enhancements that is needed for the preferred results is the need of the hour because it gives essential data to Hyderabad Electric Supply Company (HESCO) i.e., the LF is low and it must be enhanced as per the requirements
Summary
Energy crises are becoming hurdles in economic growth and have an environmental cost because mostly fossil fuels are used and there is a need for renewable energy resources [1] This issue will become a challenge for developing countries and their increasing population [2]. In this scenario i.e., for increasing the efficiency of an electric system, the aim of the research is to analyze the potential of distributed resources they do not decrease the efficiency of the system [3], [4].
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