Homogeneous load aggregation: Implementation and control for smart grid functions

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University of New Brunswick


Electric power generation should meet the demand to be operational. This balance is challenged by the randomness of consumption, climate conditions, and the diversity of generation resources, especially renewables. Demand Side Management (DSM) programs are feasible solutions sought to accomplish the generation-consumption balance. DSM is the modification of the consumer's energy demand through various methods to help balance the grid on the consumer side. This thesis studies the shifting capacity of different types of homogeneous aggregators for planning and implementation of the demand response system in local distribution network companies (LDCs). Results help to select the appropriate strategy to control load profiles before, during, and after peak hour events. The research includes an investigation of five different embedded energy resources (EERs) and four control strategies. Selected EERs have the potential capacity to store energy that can enable the flexibility needed for load generation balancing and proper AS in LDCs such as Saint John Energy (SJE). Control mechanisms include ON/OFF and Setpoint controllers compatible with the characteristics and nature of the SJE controller. The results of simulating different embedded energy resources (EER) can pave the way for developing new smart energy technologies that will help create more efficient and cost-effective ways to distribute energy to customers.