Reactive Power Optimization in Distribution Network Considering Reactive Power Regulation Capability and Fuzzy Characteristics of Distributed Generators

2019 4th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2019-09-01 DOI:10.1109/ICPRE48497.2019.9034695

Liu Wenxue, Liang Zhengtang, Ma Changhui, Yang Dong, Chen Bo, Zhao Kang, Z. Ning, L. Shan

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引用次数: 6

Abstract

The characteristics of distributed generators (DGs) are its reactive power control capacity and fuzzy feature, which bring great effect to reactive power optimization of distribution network. The reactive power control capacity of PV station and wind turbine driven doubly-fed induction generator is considered, and trapezoidal fuzzy number is used to express fuzzy feature of the DGs. Taking the reactive power of DGs\backslash the operating number of parallel capacitors and the tap of load regulating transformer as its optimization variables, the expectation of active loss and node voltage deviation minimization are chosen as the objective function in the proposed reactive power optimization algorithm, and solved by the improved firefly algorithm. The proposed model is verified by IEEE 33-bus system, to which the distributed PV generation and wind power generation are simultaneously added, and an optimal scheme possessing the meaning of fuzzy statistics is achieved, and the results show the efficiency of the model and algorithm.

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考虑无功调节能力和分布式发电机模糊特性的配电网无功优化

分布式发电机的特点是其无功控制能力和模糊特性，对配电网的无功优化有很大影响。考虑了光伏电站和风力发电机组驱动的双馈感应发电机的无功控制能力，采用梯形模糊数表示双馈感应发电机的模糊特征。提出的无功优化算法以DGs\反斜线的无功功率、并联电容器的运行数和负载调节变压器的分接数为优化变量，以有功损耗期望和节点电压偏差最小为目标函数，采用改进的萤火虫算法求解。通过IEEE 33总线系统对所提模型进行了验证，该系统同时加入分布式光伏发电和风力发电，得到了一个具有模糊统计意义的最优方案，结果表明了模型和算法的有效性。

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2019 4th International Conference on Power and Renewable Energy (ICPRE)

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