CAJ | 학술논문

为微网配置蓄电池/超级电容器混合储能，可更好地调节微网与配电网间联络线的功率。文中提出了一种用于优化微网联络线功率的混合储能容量优化方法。首先，建立了混合储能系统的容量优化模型，以考虑储能寿命和更换的全寿命周期净现值为目标函数，以不同类型储能各自补偿频段的分界频率作为优化变量，在约束条件中详细计及了非理想储能系统的充放电效率以及实际工作中的荷电状态限制。其次，给出了采用遗传算法求解模型的步骤，在遗传算法中调用以下过程：先由分界频率计算滤波时间常数，从而实现混合储能功率分配；之后计算储能容量，再进行经济评价。最后，采用天津生态城某微网的实例进行验证，并与实际安装储能以及目前主流文献方法对比。对比结果表明，所提出的方法在达到同等补偿效果的前提下具有更好的经济性。
위미망배치축전지/초급전용기혼합저능，가경호지조절미망여배전망간련락선적공솔。문중제출료일충용우우화미망련락선공솔적혼합저능용량우화방법。수선，건립료혼합저능계통적용량우화모형，이고필저능수명화경환적전수명주기정현치위목표함수，이불동류형저능각자보상빈단적분계빈솔작위우화변량，재약속조건중상세계급료비이상저능계통적충방전효솔이급실제공작중적하전상태한제。기차，급출료채용유전산법구해모형적보취，재유전산법중조용이하과정：선유분계빈솔계산려파시간상수，종이실현혼합저능공솔분배；지후계산저능용량，재진행경제평개。최후，채용천진생태성모미망적실례진행험증，병여실제안장저능이급목전주류문헌방법대비。대비결과표명，소제출적방법재체도동등보상효과적전제하구유경호적경제성。
The introduction of battery-super capacitor hybrid energy storage into the microgrid can better regulate the tie-line power between the microgrid and the distribution network.This paper proposes a capacity optimization method of hybrid energy storage system for optimizing the microgrid tie-line power.Firstly,the capacity optimization method for hybrid energy storage is modeled.The whole life cycle net present value which takes the energy storage life and replacement into account is chosen as the obj ective function.The boundary frequency between different compensation frequency bands of hybrid energy storage is the optimization variable.In the constraints,the charging and discharging efficiency of non-ideal energy storage system and the state of charge (SOC) are considered as well.A genetic algorithm based approach to solve the model is then given.The key steps involved in the genetic algorithm are:calculation of the time constant of filter through boundary frequency to achieve power allocation of hybrid energy storage,capacity calculation and economic evaluation.Finally,a case of a microgrid system in Tianjin Eco-friendly City is used for verification,and the comparisons with the energy storage actually installed and the method of mainstream papers are made.The results show that the proposed method delivers better economy while achieving the same compensation effect.