An event-driven energy management system for planned control of thermostatic loads

Thermostatically controlled loads, which represent the major portion of consumptions, have considerable shifting potential for Demand Response (DR) applications. In this study an event-driven intelligent control system for rescheduling thermostatic loads is worked on. In addition to the discussion of areas of use for the proposed system, a number of terms that can be used in decision making processes are defined. The performance of the proposed system for working with refrigerators according to the power output of a local photovoltaic system is simulated by the use of field data. The results are discussed from both grid-side and customer-side perspectives.