Consumptive Ability Analysis for Distributed Photovoltaic Generation Considering Active Management

doi:10.3969/j.issn.1000-7229.2016.01.021

Abstract

Abstract:

With the distributed photovoltaic generation connected to distribution network gradually increases, its consumptive ability has been paid more and more attention. This paper studies the consumptive ability of distributed photovoltaic generation with considering active management, and proposes the maximum consumption calculation method of distributed photovoltaic generation in active distribution network. Based on the analysis on the timing characteristics of distributed photovoltaic generation and load, we propose the improved particle swarm optimization algorithm with comprehensively considering chaos theory and adaptive adjustment, and study the influence of some active management measures on the maximum consumption of distributed photovoltaic generation, such as distributed power output curtailment, on-load tap changing transformer regulation, reactive power compensation and so on. IEEE 33 node distribution network system verifies the rationality of the proposed model and the effectiveness of the algorithm, and the three active management measures can effectively improve the maximum consumption of distributed photovoltaic generation.

Key words: distributed photovoltaic generation, active distribution network, photovoltaic consumption, timing characteristics, improved particle swarm optimization algorithm

CLC Number:

TM 711

LUAN Weijie,JIANG Xianwei,ZHANG Jietan, CHENG Haozhong, SUN Shihang,HUANG Guoliang. Consumptive Ability Analysis for Distributed Photovoltaic Generation Considering Active Management[J]. Electric Power Construction, 2016, 37(1): 137-143.

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