Improvement In Voltage Stability By Optimal Location And Sizing Of Hybrid Energy Sources By Genetic Algorithm

Like any human activity, all energy sources have an impact on our environment. Renewable and Non-Renewable energy is no exception to the rule, and each source has its own trade-offs. However it can’t replaced with a non-renewable energy after utilizing it. And when this non-renewable resource and its byproducts are used it also causes damage to the environment by emitting harmful gases like nitrous oxide, sulfur dioxide and greenhouse gases. So instead of depleting precious resources and polluting the environment we can go for renewable energy sources which are harmless and sustainable source of energy. So our project is mainly intended to optimize the power system in means of proper siting and sizing methodology using renewable energy resources. This is necessary to reduce the ever increasing load demand, reactive power demand and to safeguard the power system from unnecessary issues. This also benefits in reduction of cost in the consumer electric bills. Basically we have two parts in this project, First part of the project is proper sizing, where we locate the area (busbar) which has low voltage profile while comparing to all other sections of the system. In this process we use Newton Raphson method for power flow analysis of the system to locate the weak bus. Second part of our project is to optimize the system. That is, we need to integrate a proper generator to compensate the load demand so that the system becomes stable. For compensation we are using a “Hybrid Renewable Energy Source” which is a combination of solar and wind energy. Thus the system we considered would be stable so that it would be free from all the issues as we mentioned above. As we are using renewable energy, the system would be more efficient and sustainable than the conventional energy which we are dependent on.