摘要
海上微电网融合了多种分散式能源,通过智能算法对其进行日前能量管理,可以使得清洁能源灵活安全的参与到电网运行中。海上微电网作为现代智能电网的重要组成部分,其安全稳定运行已经成为了热点研究方向。由于风机(WT)、光伏(PV)发电具有随机性与不确定性,以及负荷需求的波动性,可引入储能单元(蓄电池)来实现电网的稳定运行。针对WT、PV、蓄电池和负荷的特性及实时工况数据,基于经济性和能源利用率构建了海上微电网经济运行模型,采用改进粒子群优化(PSO)算法对模型进行求解。该算法在新的贪婪惯性权重调整方式下,对上司粒子与下属粒子采用不同的更新公式。对海上微电网日前24 h进行算例仿真,在满足日负荷需求下验证了该算法的有效性及优势。
The offshore microgrid integrates a variety of distributed generators,and the day-ahead energy management is carried out on it through intelligent algorithm,so that clean energy can participate in the power grid flexibly and safely.As an important part of modern smart grid,the safe and stable operation of offshore microgrid has become a hot research direction.Due to the randomness and uncertainty of wind turbines(WT)and photovoltaic power(PV)generation,as well as load uncertainties,the battery energy storage is introduced to achieve the grid stable.Aimiting to the characteristics of WT,PV,battery and load,an economic operation model of offshore microgrid is established based on economy and energy utilization,the improved particle swarm optimization(PSO)algorithm is presented to solve the model.Under the new greedy inertia weight adjustment method,the improved particle swarm algorithm adopts different updating formula for the leader particles and staff particles.An example of day-ahead offshore microgrid is simulated,and the effectiveness and advantage of the proposed algorithm are verified under the condition of meeting the daily load demand.
作者
陈侃
黄猛
刘志刚
CHEN Kan;HUANG Meng;LIU Zhi-gang(Industrial Intermet Inovation Center(Shanghai)Co.,Ltd.,Shanghai 201306,China;不详)
出处
《电力电子技术》
CSCD
北大核心
2022年第10期40-44,共5页
Power Electronics
关键词
海上微电网
改进粒子群优化算法
经济运行模型
offshore microgrid
improved particle swarm optimization algorithm
economic operation model
