A Novel Fuzzy based Intelligent Demand Side Management for Automated Load Scheduling

Developments in smart-grid technologies can be associated with rising awareness among general populace of renewable energy as well as the need of distributed generation via these sources. Improvement in efficiency of electrical energy from Renewable Sources (RS) can be achieved by collaborating advanced structures with intelligent metering technology. The smart meters along with the distributed generation sources are being widely used in smart grid applications. An intelligent energy management system is key to monitor and control the processes at consumer and supplier end. Thus, an intelligent system for various computation and procurements can be considered a part of smart-grid. It is within consideration that a part of the energy demand by the building is covered by this Intelligent Demand Management Structure (IDMS). The IDMS is an indispensable tool in order to guarantee greatest added value to the smart meter. The practical and theoretical integration and application of IDMS with the smart meter is presented in this article. The article proposes a novel algorithm based on fuzzy optimization logic employed to the intended system. Fuzzy Controller Logic (FCL) language was used to create the fuzzy rules while the execution was carried out in Python. The designed algorithm is tested in the real time with the load profile of a practical setup. The proposed FCL based algorithm saved a maximum of 15% energy in best cased scenarios.