Power Flow Analysis Considering Automatic Generation Control for Multi-Area Interconnection Power Networks

被引:31
|
作者
Dong, Xiaoming [1 ]
Sun, Hua [2 ]
Wang, Chengfu [1 ]
Yun, Zhihao [1 ]
Wang, Yiming [1 ]
Zhao, Penghui [1 ]
Ding, Yuanyuan [1 ]
Wang, Yong [1 ]
机构
[1] Shandong Univ, Minist Educ, Sch Elect Engn, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Shandong, Peoples R China
[2] Shandong Labor Vocat & Technol Coll, Dept Elect Automat, Jinan 250022, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Power system analysis computing; power system interconnection; power system control; power transmission; power flow;
D O I
10.1109/TIA.2017.2738618
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In addition to maintaining the power balance, the major tasks of multi-area automatic generation control (AGC) involve regulating the power exchange among subareas. This study presents a new power flow model allowing for multi-area AGC that achieves cooperation among the participating generators, which are deployed separately in the interconnected subarea networks. The formulations of the power exchange among the subareas are derived from the active power flow equations of the tie-lines. The node parameters representing the level and allocation of the unbalanced power are introduced. Then, the proposed power flow model is established by integrating the formulations of the node power injection and power exchange. Meanwhile, the unknown variables in the integrated model can be synchronously adjusted by the Newton iteration method, which depends on the integrated Jacobian matrix. Furthermore, being improved based on the integrated formulations, some related algorithms, including but not limited to sensitivity analysis, are expected to produce more precise solutions. The case studies of the IEEE 5 bus test system, the IEEE RTS-1996 test system, and the IEEE 300 bus test system illustrate the convergence and efficiency of the proposed power flow method. Moreover, the case studies also demonstrate that the integrated formulations based sensitivity analysis can generate more reliable results.
引用
收藏
页码:5200 / 5208
页数:9
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