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Research of multi-power structure optimization for grid-connected photovoltaic system based on Markov decision-making model

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4 Author(s)
Yingzi Li ; College of Information and Electrical Engineering, Beijing University of Civil Engineering and Architecture, 100044, China ; Jincang Niu ; Ru Luan ; Yuntao Yue

With renewable energy generating rapid growth, multi-power structure optimization problem with the grid-connected PV power has been a cause of concern. This paper presents Markov decision-making process (MDP) conditions, optimal dynamic programming strategy, N-stage total expectation reward criteria and total expectation cost of MDP model in multi-power structure optimization with grid-connected PV power. In considering the grid-connected PV power system constraints, MDP transition probability matrix of the multi-power structural optimization has been determined. After testing and verifying by the actual operation of 5.6 kW grid-connected PV power in Beijing University of Civil Engineering and Architecture, it is shown that the MDP model is a useful theoretical tool to study multi-power structure optimization problem with the grid-connected PV power under the random environment.

Published in:

Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on

Date of Conference:

17-20 Oct. 2008