Jinge Song
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jinge Song has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Chen Shao
Hebei Provincial Key Laboratory of Distributed Energy Storage and Microgrid, North China Electric Power University, Baoding 071000, China
1 shared publication - Huipeng Li
State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China
1 shared publication - Jun Zhao
Electric Power Research Institute, State Grid Shanxi Electric Power Co., Ltd., Taiyuan 030001, China
1 shared publication - Xiao Chang
State Grid Shanxi Electric Power Research Institute, Taiyuan 030021, China
1 shared publication
Latest Publications
- Open Access
A Voltage Optimization Method for Active Distribution Networks Based on Coordinated Control of VVR and ER for Extreme Scenarios
To address the issues of prediction failure and energy storage regulation saturation caused by drastic source-load variations under extreme scenarios, a novel voltage optimization strategy based on the coordination of a Volt/Var Regulator and an Energy Router is proposed. Firstly, the mechanism by which the accumulation of prediction errors leads to integral saturation of energy storage and subsequent failure in voltage regulation is elucidated. Subsequently, by constructing a refined model, the proposed approach integrates the series voltage regulation capability of the VVR—which alters the electrical distance—with the cross-node load transfer capability of the ER, achieving an organic synergy between discrete coarse adjustment and continuous fine-tuning. Simulations based on the IEEE 33-node system demonstrate that the proposed method exhibits excellent robustness under extreme operating conditions such as photovoltaic surges and abrupt load changes. It does not rely on prediction accuracy and effectively overcomes the regulation blind spots caused by prediction failures, thereby significantly mitigating voltage violations and effectively maintaining the system voltage strictly within safe operational limits.
Open AccessA Voltage Optimization Method for Active Distribution Networks Based on Coordinated Control of VVR and ER for Extreme Scenarios
To address the issues of prediction failure and energy storage regulation saturation caused by drastic source-load variations under extreme scenarios, a novel voltage optimization strategy based on the coordination of a Volt/Var Regulator and an Energy Router is proposed. Firstly, the mechanism by which the accumulation of prediction errors leads to integral saturation of energy storage and subsequent failure in voltage regulation is elucidated. Subsequently, by constructing a refined model, the proposed approach integrates the series voltage regulation capability of the VVR—which alters the electrical distance—with the cross-node load transfer capability of the ER, achieving an organic synergy between discrete coarse adjustment and continuous fine-tuning. Simulations based on the IEEE 33-node system demonstrate that the proposed method exhibits excellent robustness under extreme operating conditions such as photovoltaic surges and abrupt load changes. It does not rely on prediction accuracy and effectively overcomes the regulation blind spots caused by prediction failures, thereby significantly mitigating voltage violations and effectively maintaining the system voltage strictly within safe operational limits.