Abstract
In India with a power shortage of about 10% of installed capacity, the transmission and distribution losses are relatively high. One of the reasons for the large loss is the excessive reactive loads on the primary distribution feeder. With the right amount of reactive power compensation, as system load varies, line losses can be considerably reduced. The application of Artificial Neural Network (ANN) is an emerging area where a properly trained ANN can be advantageously used for sufficient amount of reactive power compensation under varying load conditions. This paper describes the methodology adopted for training an ANN network for reactive power compensation without human intervention. The ANN is implemented using a DSPIC 30F2010 (Digital Signal Peripheral Interface Controller) and verified on a simulated laboratory network . The results obtained are satisfactory.
Highlights
Electricity is one of the vital and basic inputs necessary for the economic development of a country
The rapid economic development and industrialization of our country has created a critical need for additional power even though, there has been a spectacular growth in power generation, the demand for electrical power outstrips the supply and efforts are being made to augment power supply by creation of new power stations and revamping the existing stations to achieve higher load factor
One main cause for high transmission and distribution losses is the high percentage of reactive load
Summary
Electricity is one of the vital and basic inputs necessary for the economic development of a country. The power transformers get unnecessarily loaded due to high reactive power requirement and net ‘Real Power Availability’ for the system gets reduced This leads to excessive voltage regulation and the consequent low voltage at the extremities of the system. At period of light loads, other problems can occur, (i.e.) when there may be insufficient lagging p.f. loads to absorb the reactive power generated by the system with network with a large cable component This phenomena can lead to excessive system voltages and sometimes, reactive power compensation is required to absorb reactive power at light load conditions. Load flow solution of the network under steady state condition is subjected to certain inequality constraint under which the system operates These constraints can be in the form of nodal voltages, the reactive power generation of the generators, the tap settings of a tapchanging under load transformer etc.
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