Optimal control for dynamic grid connected photovoltaic system based on Markov chain

Author

Ying-zi, Li ; Jin-cang, Niu ; Ru, Luan ; Jiang Zhi-jian

Author_Institution

Beijing Univ. of Civil Eng. & Archit., Beijing

fYear

2007

fDate

8-11 Oct. 2007

Firstpage

227

Lastpage

231

Abstract

A dynamic grid-connected photovoltaic system with storage batteries has the characteristics of dynamic, time-varying, random and indetermination. A Markov chain model of the load demand power was built based on Markov decision theory according to the 6kW PV system operating data. The object function of the battery discharge power and one step transition matrix of the load demand power have been obtained After considering the conditions of the dynamic grid-connected photovoltaic system, an optimal control method of the adaptive power distribute was directly computed. The results show the model and algorithm are correct and effective.

Keywords

Markov processes; optimal control; photovoltaic power systems; secondary cells; Markov chain; Markov decision theory; battery discharge power; dynamic grid-connected photovoltaic system; load demand power; optimal control; power 6 kW; storage batteries; Adaptive control; Batteries; Decision theory; Distributed computing; Load modeling; Optimal control; Photovoltaic systems; Power system modeling; Programmable control; Time varying systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2007. ICEMS. International Conference on

Conference_Location

Seoul

Print_ISBN

978-89-86510-07-2

Electronic_ISBN

978-89-86510-07-2

Type

conf

Filename

4412231