Managing Power Demand and Supply in Local Multi Micro grids with Volatility in Renewable Energy Sources

The problem of volatility in renewable energy sources has been analyzed in detail. The renewable energy sources plays vital role in the power management of micro grids. There exist number of power management models for the support of micro grids, however, they suffer to achieve higher performance in demand management. To handle this issue, a Dynamic Power Demand Supply Chain Management Model (DPDSCMM) is presented in this article. The model maintains the traces of power generation and utilization as a data set. According to the data set maintained belongs to various local multi micro grids, the model preprocess the data set to find set of renewable sources and micro grid units. Further, the model monitors the consumption pattern (CP) of various micro grids and generation patterns (GP) of various renewable energy sources. With the use of CP and GP, the model computes Approximated Power Demand Rate (APDR) for various multi micro grids. Also, the method computes the Probable Power Value (PPV) for various renewable energy sources. Using the value of APR and PPV, the method identifies set of sources to regulate the power to the micro grid. The method improves the performance of power management with great volatile resources.