CAJ | 학술논문

将日前动态经济调度方法应用于由光伏发电系统和蓄电池组成的微电网，使其运行成本最小化。采用了计及充放电功率限制这一动态非线性约束的简化动力学蓄电池模型，应用改进的多种群实编码遗传算法进行求解，改进算法中种群个体可根据充放电功率进行修正，同时目标函数中增加了蓄电池荷电状态的惩罚项。利用微电网算例，在不同折旧成本和电价的场景下，对动态经济调度与其他控制策略进行了比较。结果验证了所提方法的有效性，同时帮助确定其适用范围。
장일전동태경제조도방법응용우유광복발전계통화축전지조성적미전망，사기운행성본최소화。채용료계급충방전공솔한제저일동태비선성약속적간화동역학축전지모형，응용개진적다충군실편마유전산법진행구해，개진산법중충군개체가근거충방전공솔진행수정，동시목표함수중증가료축전지하전상태적징벌항。이용미전망산례，재불동절구성본화전개적장경하，대동태경제조도여기타공제책략진행료비교。결과험증료소제방법적유효성，동시방조학정기괄용범위。
The method of day-ahead dynamic economic dispatch is applied to the microgrid composed of photovoltaic (PV) generation system and batteries to make its operational cost minimized. A simplified kinetic battery model, in which the dynamic non-linear constraints of charge/discharge power limits are considered, is adopted and solved by improved multi-population real-coded genetic algorithm (RCGA). The individuals in the improved algorithm can be modified according to charge/discharge power. Meanwhile, the battery’s state of charge (SOC) is added into the objective function. Taking a microgrid for case study, the dynamic economic dispatch is compared with other dispatch strategies under scenarios with different depreciation cost and power rates. The results verify the effectiveness of the dynamic economic dispatch, and help determine its proper scope of utilization.