Approach to Assess Complementary Options of Large Scale Wind-solar Coupling

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A number of factors are contributing to increases in renewable energy production in the United States (and beyond). These factors include rapidly declining costs of electricity produced from renewable energy sources, regulatory and policy obligations and incentives, and moves to reduce pollution from fossil fuel-based power generation, including greenhouse gas emissions. While not all renewable energy sources are variable, two such technologies – wind and solar PV – currently dominate the growth of renewable electricity production. The production from wind and solar PV tries to capture the freely available but varying amount of wind and solar irradiance. 

In this work a hybrid approach is adopt for finding the shortest path Algorithm is embedded with Teacher leaning Based optimization algorithm. Here whole work is depend on the random condition of the available power generation resources like wind, solar, etc. In this work power obtained from the resources are supplied to the required load area. TLBO algorithm find the best set of power resources for particular set of demands.

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