摘要
针对高穿透率的分布式发电系统将给电网带来的电能质量等一系列问题,提出一种用于并网分布式发电系统的有功功率补偿模型。该模型利用兼具多种储能技术优点的混合储能系统来补偿分布式电源产生的功率波动,具有补偿功率高、储能容量大的性能优势。模型中提出了基于能量预测的动态能量优化算法以提高储能设备的利用效率,利用模糊控制得出储能设备的补偿功率给定值。仿真分析验证了该模型的有效性,在提高补偿性能的同时可观地降低了储能设备的容量需求,从而节约了成本,具有实际应用价值,可用于改进现有储能系统。
High penetration of distributed generation involved into the power system will result in some deteriorative influences such as poor power quality. An active power compensation model for grid-connected distributed generation system is proposed. This model is based on a hybrid energy storage system (HESS) to compensate the power fluctuation caused by distributed generation. HESS takes advantage of different energy storage technologies to provide satisfying compensation capability with high energy density. A novel dynamic energy optimization algorithm based on energy prediction (DEOEP) is also proposed. By this algorithm, the efficiency of HESS is improved evidently. To obtain compensation power control value tracked by HESS, a fuzzy control strategy is employed. The HESS approach and DEOEP strategy are verified by simulation. The results of simulation show that the proposed model allows higher overall performance with less energy required for HESS and lower cost to be used. The proposed method provides an alternative strategy to enhance existing energy storage devices due to the practicality of this model.
出处
《电力系统自动化》
EI
CSCD
北大核心
2009年第8期94-98,共5页
Automation of Electric Power Systems
关键词
分布式发电
微电网
有功功率补偿
混合储能系统
动态能量优化
模糊控制
distributed generation
microgrid
active power compensation
hybrid energy storage system
dynamic energy optimization
fuzzy control