Research on Capacity Limit of Grid-Connected Photovoltaic Power Station Based on Distributional Robust Optimization

doi:10.3969/j.issn.1000-7229.2016.06.021

Abstract

Abstract:

In allusion to the uncertainty of photovoltaic power station output and the difficulty to accurately describe the probability distribution function of output， this paper adopts distributional robust linear optimization method to study the capacity limit of grid-connected photovoltaic power station. We establish the distributional robust linear optimization model for the capacity limit of photovoltaic power station based on the constraint conditions of system operation. The solar radiation intensity is taken as random variable in the model， whose bound and expectation are used to describe the uncertainty of photovoltaic power station output. The model is transformed to certain linear programming problems via duality theory， which is easy to be solved. We verify the model in a modified Garver's 6-bus system. The results show that the capacity limit of grid-connected photovoltaic power station varies under the effect of factors such as the grid-connected access position， and solar traditional variation range. The optimization result obtained by distributional robust optimization method is better than that obtained by cassette robust optimization， and the proposed model can provide flexible calculation results between optimization and robustness， thereby the practicality and effectiveness of the model are proved.

Key words: distributional robust linear optimization, photovoltaic power station, capacity limit, uncertainty

CLC Number:

TM 744

XIANG Jiajia， LIU Jianhua， ZHU Xuesong， GAO Shan. Research on Capacity Limit of Grid-Connected Photovoltaic Power Station Based on Distributional Robust Optimization[J]. Electric Power Construction, 2016, 37(6): 151-156.

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