Decentralized Demand Side Management Optimization for Residential and Commercial Load

In smart grid, the demand side management techniques need to be designed to process a large number of controllable loads of several types, this results in increased sustainability of the grid, as well as reduced the operational cost. In this paper, we proposed a framework to study decentralized demand side management in a distributed network which contains a variety of loads of two demand types; residential load and commercial load. Specifically, each of residential load and commercial load has local renewable generation such as rooftop PV and flexible appliances and by making an optimum individual scheduling will reduce the electricity bill with a manageable sacrifice of customers convenience and comfort according time-of-using (TOU) prices. In our simulation model commercial load bus on bus seventeenth, with twenty-nine households employed to demonstrate the performance of the proposed DSM for large number of appliances. Using the developed simulation model we examine the performance of decentralized DSM and study their impact on the distribution network operation and renewable generation, overall voltage deviation, real power loss, and possible problems such as reverse power flows, voltage rise have examined and compared.