Research on Economic Dispatch of Smart Grid with Wind Farm Based on Improved Differential Evolution Algorithm

被引：1

作者：

Su, Yuanyuan ^{[1
]}

Wang, Cunxu ^{[2
]}

Mu, Yuzhuang ^{[3
]}

Wei, Mofan ^{[1
]}

Wang, Ruoxi ^{[1
]}

机构：

[1] Shenyang Inst Engn, Grad Dept, Shenyang, Peoples R China

[2] Shenyang Inst Engn, Inst Automat, Shenyang, Peoples R China

[3] Hainan Power Grid Co Ltd, Sanya Power Supply Bur, Sanya, Peoples R China

来源：

2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年

关键词：

wind power generation; wind speed prediction; spinning reserve; improved differential evohttion algorithm; economic dispatch; POWER;

D O I：

10.1109/CAC51589.2020.9326989

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As a kind of renewable energy, wind power generation not only has low cost of power generation, but also does not cause environmental pollution. However, wind power has strong randomness and volatility, and it is difficult to predict wind speed and wind power, which has a serious impact on the safe operation and economic scheduling of the system. In this paper, based on the traditional economic dispatching of power system, clean energy wind energy is added. Considering the fluctuation of wind power output and the large prediction error of wind power output, the influence of wind power grid connection and the upper and lower rotation reserve constraints of the system are considered, an economic dispatching model coordinated with environmental protection is established to ensure the stable operation of the system. Then, it introduces an improved differential evolution algorithm which combines the differential evolution algorithm and the artificial bee colony algorithm. This algorithm can improve the search performance of the algorithm and reduce the population size required by the algorithm. Finally, the algorithm is used to solve the model, and the effectiveness and feasibility of the model are verified by simulation.

引用

页码：22 / 27

页数：6

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