Automation of Electric Power SystemsVol. 40, Issue 15, Pages: 39-46(2016)
作者机构:
南京邮电大学自动化学院,江苏省,南京市,210046
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DOI:
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Published:2016
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ZHU Xiangxiang. [J]. Automation of electric power systems, 2016, 40(15): 39-46.
DOI:
ZHU Xiangxiang. [J]. Automation of electric power systems, 2016, 40(15): 39-46.DOI:
基于区间不确定性的微网有功—无功联合优化调度
摘要
针对微网优化调度问题
首先
考虑到可再生能源(如风电、光伏等)功率预测和负荷预测的不确定性
以及微网系统中有功潮流和无功潮流的强耦合性
提出利用区间描述不确定性
并建立微网系统的有功—无功联合优化调度模型。然后
采用区间序关系模型转换方法
将基于区间不确定性的联合优化模型转换成一般的确定性优化模型
以便于优化问题求解。最后
为验证所提出的微网系统优化调度方法
利用专业优化软件(GAMS)在典型的微网系统算例上进行数值仿真试验
并结合试验结果分析区间不确定水平对微网系统运行成本及各微电源出力的影响。
Abstract
In view of the problem with the economical dispatch of microgrids
by taking the uncertainties of renewable energy power(such as wind power and photovoltaic power)prediction and load prediction into account
the interval is utilized to describe uncertainty. Whereafter
an active-reactive power combined optimal dispatch model for the microgrid is developed since the active power and reactive power are strongly coupled in the microgrid system. Subsequently
to facilitate solution finding
the interval-based uncertain dispatch model is transformed into a general certain one with a mathematical transformation method based on the interval sequential relation. Finally
numerical simulation tests are performed on a typical microgrid system with the professional optimization software(GAMS)to verify the proposed optimal dispatch method. Based on the testing results
the influences of the interval uncertainty degree on the operating cost of microgrid and the power output of the microsources are analyzed. This work is supported by National Natural Science Foundation of China(No. 51507085).