A study on active power balance control of wind/photovoltaic storage system based on multiple rotating vector superposition approach

With the massive increase in the energy share of renewable energy sources and the development of energy storage systems, the generation control of integrated energy systems is facing serious challenges. On the one hand, renewable energy generation is characterized by volatility and uncertainty. Large-scale grid integration of renewable energy sources decreases the inertia of integrated energy systems. On the other hand, the regulation rate of the energy storage unit is different from that of the frequency regulation unit. Conventional automatic generation control does not consider the differences in the regulation rate of each frequency regulation unit. In this study, a method based on multiple rotating vector superposition (MRVS) is proposed for the active power balance control problem of wind/photovoltaic storage systems. This study proposes a vector control method containing two independent algorithms for wind/photovoltaic and energy storage systems, respectively. To make the frequency control of wind/photovoltaic storage systems more stable, in this study, all three energy modes are subjected to rotary vector control and then superimposed to form a frequency-integrated coordinated control method. This study compares the proposed MRVS with seven other well-established algorithms. Q(λ) works best among the contrasting methods, however, the area control error, frequency deviation, and economy indexes of the proposed MRVS are 7.12%, 5.08%, and 1208.2 $ smaller than Q(λ), respectively, verifying the feasibility of the MRVS.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/spic62469.2024.10691507
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

A study on active power balance control of wind/photovoltaic storage system based on multiple rotating vector superposition approach

Wenbo Luo, Jianan Yan, Ziwei Fan, Guangzong Huang et al.
Power Systems and Renewable Energy
article

A study on active power balance control of wind/photovoltaic storage system based on multiple rotating vector superposition approach

Wenbo Luo, Jianan Yan, Ziwei Fan, Guangzong Huang, Guanrong Zhu
article en

Abstract

With the massive increase in the energy share of renewable energy sources and the development of energy storage systems, the generation control of integrated energy systems is facing serious challenges. On the one hand, renewable energy generation is characterized by volatility and uncertainty. Large-scale grid integration of renewable energy sources decreases the inertia of integrated energy systems. On the other hand, the regulation rate of the energy storage unit is different from that of the frequency regulation unit. Conventional automatic generation control does not consider the differences in the regulation rate of each frequency regulation unit. In this study, a method based on multiple rotating vector superposition (MRVS) is proposed for the active power balance control problem of wind/photovoltaic storage systems. This study proposes a vector control method containing two independent algorithms for wind/photovoltaic and energy storage systems, respectively. To make the frequency control of wind/photovoltaic storage systems more stable, in this study, all three energy modes are subjected to rotary vector control and then superimposed to form a frequency-integrated coordinated control method. This study compares the proposed MRVS with seven other well-established algorithms. Q(λ) works best among the contrasting methods, however, the area control error, frequency deviation, and economy indexes of the proposed MRVS are 7.12%, 5.08%, and 1208.2 $ smaller than Q(λ), respectively, verifying the feasibility of the MRVS.

China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 85%
Power Systems and Renewable Energy
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