Electrical and Computer Engineering ETDs

Publication Date

Spring 4-1-2022


In smart grid systems, demand response management (DRM) permits the efficient utilization and control of electrical loads. This control is accomplished by modifying the price of electricity or by shifting peak electricity consumption to off-peak periods. This thesis proposes a DRM model composed of multiple utility companies and multiple consumers. Due to the risk caused by the users' excessive power demands, each utility company has the potential for failure. Prospect Theory principles capture the individual consumer's risk-aware behavior. As a result, a multi-leader multi-follower Stackelberg game is introduced, involving the utility companies (leaders) and consumers (followers). The Stackelberg game determines the optimal electricity rates for the utility companies and the consumers' optimal amount of energy purchases from each company. The consumers' optimal amount of energy is calculated as a Nash Equilibrium point of an n-person concave game among consumers attempting to maximize their satisfaction. The numerical results presented in this thesis demonstrate the proposed DRM framework's performance and efficiency while emphasizing the critical advantages and disadvantages of the proposed model compared to other alternative DRM approaches.


DRM, Smart Grid


Eirini Eleni Tsiropoulou

Document Type




Degree Name

Computer Engineering

Level of Degree


Department Name

Electrical and Computer Engineering

First Committee Member (Chair)

Eirini Eleni Tsiropoulou

Second Committee Member

Lei Yang

Third Committee Member

Jim Plusquellic