Implementation of consumer level intelligence in a smart micro-grid along with HEMS based price prediction scheme

The consumer demand is increasing day-by-day with the emergence of new technologies for human comfort. The growing demand is expeditiously leading to the depletion of resources and increasing tariff. The improvised structure of the conventional grid namely, smart grid is rapidly gaining attention with its scheme for efficient meeting of the growing demand and the integration of renewables. The implementation of smart grid requires extensive communication methodology and structured control strategy. In this paper, the controls over the smart grid have been segregated into three as primary, secondary and tertiary. This paper deals with the intelligence associated with the primary and secondary levels placed in regard with the consumer and micro-grid operation. A price prediction scheme as a part of Home Energy Management System (HEMS) has also been designed to increase the consumer awareness. The role of the consumer as well as micro-grid in intelligent demand management has been demonstrated in this paper through simulations in MatLab using fuzzy logic. This system was also verified in hardware and the implementation details have been provided.