CAJ | 학술논문

提出了一种基于短期负荷预测的微网储能系统主动控制策略。采集了智能电表上的分布式电源出力和微网负荷数据，对微网中的负荷进行了短期预测。在考虑蓄电池容量、充放电特性以及充放电次数限制的条件下，主动控制储能系统的充放电，优化微网负荷曲线，实现了削峰填谷。通过采用上述控制策略，储能系统还可工作在静止无功补偿器状态，为微网提供无功补偿，减小电压偏移，保证分布式电源的稳定运行，提高微网的电能质量。在Matlab中建立了微网的仿真模型，验证了这种控制策略的可行性。
제출료일충기우단기부하예측적미망저능계통주동공제책략。채집료지능전표상적분포식전원출력화미망부하수거，대미망중적부하진행료단기예측。재고필축전지용량、충방전특성이급충방전차수한제적조건하，주동공제저능계통적충방전，우화미망부하곡선，실현료삭봉전곡。통과채용상술공제책략，저능계통환가공작재정지무공보상기상태，위미망제공무공보상，감소전압편이，보증분포식전원적은정운행，제고미망적전능질량。재Matlab중건립료미망적방진모형，험증료저충공제책략적가행성。
An active control strategy for microgrid energy storage system based on short-term load forecasting is proposed. The short-term load forecasting of microgrid is performed based on the load data of microgrid and the distributed generation （DG） output collected by intelligent meters. Considering the capacity of storage batteries, their charge and discharge characteristics and the limit of their charge and discharge, the charge and discharge of energy storage system are actively controlled to optimize the load curve of microgrid, therefore the peak load shifting of microgrid is implemented. Using above-mentioned control strategies, the energy storage system can also operated as static var compensator to provide reactive power compensation for microgrid, thus the voltage deviation can be reduced and the stable operation of DGs can be ensured to improve power quality of microgrid. A simulation model of microgxid is built by. Matlab, and simulation results verify the feasibility of the proposed control strategy.