Novel self-optimizing algorithm for design and control of power generation and delivery systems

n power generation and delivery systems, there are always a number of control/design parameters and set-points that should be tuned to some optimum values for maximizing efficiency and output power. For example, in photovoltaic cells, there is an optimum load value that maximizes the output power. This value may change over time depending on the PV cell characteristics and environmental conditions. There are different ways of tuning system variables. Sometimes an analytical model of the system under study is used for finding the optimum values. A better alternative is use of intelligent algorithms that play with the controllable parameters to find the optimum point independent of the possible errors in an analytical model. In the proposed research, a novel, high-performance self-optimizing algorithm will be developed. The controller will be applied to famous control problems in renewable energy and power systems. TO BE CONT’D

Faculty Supervisor:

Mehrdad Moallem

Student:

Partner:

Lund University

Discipline:

Engineering

Sector:

Education

University:

Simon Fraser University

Program: