135. OPTIMAL SWITCHABLE LOAD SIZING AND SCHEDULING FOR STANDALONE RENEWABLE ENERGY SYSTEMS

Department: Mechanical & Aerospace Engineering
Faculty Advisor(s): Jan P. Kleissl | Raymond A. De Callafon

Primary Student
Name: Abdulelah Habib
Email: a1habib@ucsd.edu
Phone: 555-555-5555
Grad Year: 2018

Abstract
Given the intermittency of renewable energy systems, the problem of finding the optimal static load size of a finite number of discrete electric loads on the basis of a load response optimization is considered in this paper. An algorithm is developed to solve the on/off scheduling of dynamics electric loads based on predictions of the power delivery of a (standalone) solar power source. Knowledge of variations in the solar power output is used to optimally select the timing and the combinations of a set of given electric loads, where each load has a desired dynamic power profile. The algorithm exploits the desired power profiles of the electric loads in terms of dynamic power ramp up/down and minimum time on/off of each load to track a finite number of load switching combinations over a moving finite prediction horizon. Subsequently, evaluation of a user-specified optimization function with possible power constraints is evaluated over the finite number of combinations to allow for real-time computation of the optimal timing and switching of loads. The approach is illustrated on electric loads with varying first order dynamics for on/off switching and solar data obtained from the Solar Resource Assessment & Forecasting Laboratory at UC San Diego.

Industry Application Area(s)
Control Systems | Energy/Clean technology

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