基于集合经验模态分解的微电网混合储能优化配置

RESEARCH ON OPTIMIZATION OF HYBRID ENERGY STORAGE CAPACITY USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION AND FUZZY CONTROL

为了平抑微电网联络线功率,该文采用磷酸铁锂电池与超级电容组合的方式进行微电网混合储能优化配置。首先,根据电网调度安排,将微电网净负荷分解为联络线功率与混合储能系统总功率。其次,通过集合经验模态分解将混合储能总功率分解为锂电池平抑的低频分量与超级电容平抑的高频分量,并建立混合储能的等年值成本、平抑联络线功率、能量供需平衡目标函数,采用自适应粒子群算法求解混合储能容量。根据储能的荷电状态,采用模糊控制算法对锂电池、超级电容的充放电功率进行二次修正,保证储能系统的长期运行。基于某并网型微电网进行算例分析,仿真验证该方法的经济性与有效性。

In order to stabilize the power of the microgrid tie-line,this paper adopts the combination of lithium iron phosphate batteries with super-capacitors to optimize the configuration of hybrid energy storage in the microgrid. To start with,according to the grid scheduling arrangement,the net load of microgrid is decomposed into tie-line power and total power of hybrid energy storage system.Secondly,the total power of the hybrid energy storage system is decomposed into the low-frequency component of lithium battery suppression and the high-frequency component of super-capacitor suppression through ensemble empirical modal decomposition. In addition,the equal annual cost,the flat energy contact line power and the balance target function of energy supply and demand are established via applying the adaptive particle group algorithm to solve the hybrid energy storage capacity. Depending on the charge state of energy storage,the fuzzy control algorithm was used to make secondary corrections to the charging and discharging power of lithium batteries and super capacitors to ensure the long-term operation of the energy storage system. Based on an example analysis of a gridconnected microgrid,the economy and effectiveness of the method is verified through simulation.