This paper presents an adaptive optimal control scheme for a grid independent photovoltaic (PV) system consisting of a PV collector array, a storage battery, and loads (critical and non-critical loads). The optimal control algorithm is based on the model-free heuristic dynamic programming (HDP), an adaptive critic design (ACD) technique which optimizes the control performance based on a utility function. The HDP critic network is used in a PV system simulation study to train a neurocontroller to provide optimal control for varying PV system output energy and load demands. The emphasis of the optimal controller is primarily to supply the critical base load demand at all times. Simulation results are presented to compare the performance of the proposed optimal scheme with the conventional priority control scheme. Results show that HDP based control scheme performs better than a conventional priority control scheme.

Meeting Name

IEEE Power Engineering Society General Meeting, 2006


Electrical and Computer Engineering

Keywords and Phrases

Adaptive Critic Designs; Battery Storage; Energy Management; Neural Networks; Optimal Control; PV Collector Array; Photovoltaic System; Adaptive Control; Adaptive Critic Design Technique; Adaptive Optimal Control Scheme; Dynamic Programming; Grid Independent Photovoltaic System; Heuristic Programming; Load Demands; Model-Free Heuristic Dynamic Programming; Neurocontroller; Neurocontrollers; Optimal Control; Photovoltaic Power Systems; Power Generation Control; Power Grids; Solar Cell Arrays; Storage Battery

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2006 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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