Modeling and Analysis of Demand Side Management

Abstract

Demand side management (DSM) represents a set of widely used strategies for satisfying the electricity demand of the consumers such that their cost of energy consumption is minimized. The demand of the consumers under a DSM can be scheduled given time varying electricity prices (e.g., day-ahead market prices). This DSM approach will be referred to as demand response (DR) program. Alternatively, the demand of the consumers under a DSM can be satisfied by combining the power bought from the grid and the power locally produced/stored by the consumers. This DSM approach will be referred to as renewable energy sources (RES) deployment problem. In this dissertation, we develop and analyze two novel DSM strategies, one for the electric vehicle (EV) owners and the other for the residential owners. With regards to the EV owners, our preliminary work dealt with developing a novel technique to represent their aggregate price responsive behavior. This will be useful for load aggregators, who represent the EV owners, to plan their response in the electricity markets. Further, this work can be extended to design incentive based DR programs for the EV owners. Next, we developed a novel DR program for the EV owners so that the load aggregator performs energy sharing (i.e., buy power and sell power) in various electricity markets and provides instructed real-time regulation service. The proposed DR program ensures strict compliance to the commitments made by the load aggregator in the day-ahead market despite the uncertainties it faces pertaining to both the electricity markets and EV owners. With regards to the residential owners, we developed a novel shared RES investment problem which allowed the photovoltaic (PV) generation and stored energy to be distributed to the participants. The proposed RES deployment problem will be useful for residential owners when they want to invest together in the PV units and battery storage (BS) units under different settings (e.g., with net metering, with peer-peer energy sharing).