Coordination Planning of Power Grid Considering Wind Power Consumption and Line Load Balancing

被引：0

作者：

Zhang Yifan ^{[1
]}

Tang Fei ^{[1
]}

Liu Dichen ^{[1
]}

Xiao Chufei ^{[1
]}

Ma Shicong ^{[2
]}

Du Nianchun ^{[1
]}

机构：

[1] Wuhan Univ, Sch Elect Engn & Automat, Wuhan, Peoples R China

[2] China Elect Power Res Inst, Beijing, Peoples R China

来源：

2019 6TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE 2019) | 2019年

关键词：

wind power consumption; load balancing; power grid planning; AP clustering algorithm; multipopulation genetic algorithm;

D O I：

10.1109/ICISCE48695.2019.00146

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In view of the characteristics of intermittence and fluctuation of wind power output and the trend of large scale grid connection of wind power and power grid to assume the function of renewable energy consumption, this paper proposes a multi-objective coordinated planning method based on AP (Affinity Propagation) clustering algorithm combined with improved MPGA (Multi-Population Genetic Algorithm) for power grid considering wind power integration. Firstly, the AP clustering algorithm is used to cluster the typical wind farm operation scenarios. Then, the power grid planning optimition model considering wind power consumption and line load balancing rate is established. Finally, the feasibility and validity of the proposed method are verified in the IEEE 18-bus system.

引用

页码：713 / 717

页数：5

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