基于过程免疫时间的逆变器接口分布式发电机组优化配置

Jun Tao, Dawei Li, H. Zhang, Qianlong Zhu
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引用次数: 0

摘要

在电压暂降评估中,由于电压暂降容限特性曲线存在不确定的运行区间,当设备发生这种区间型电压暂降时,电压暂降所造成的经济损失难以测量。本文提出了一种基于过程免疫时间的逆变接口分布式发电机优化配置模型,根据工业过程的关键物理参数是否满足可接受范围,计算电压暂降造成的经济损失。该模型既考虑了可逆分布式发电在正常运行时的经济性,又考虑了其在故障运行时抑制配电网电压凹陷的能力。其目标是使投资成本、网损、上网购电成本和电压暂降经济损失最小。采用遗传算法对模型进行求解。仿真结果表明,考虑电压暂降的可逆分布式发电最优配置方案具有更好的整体经济性和更强的抑制电压暂降能力。
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Inverter-Interfaced Distributed Generator Optimal Configuration Based on Process Immune Time
In the assessment of voltage sag, due to the existence of uncertain operating interval of voltage sag tolerance characteristic curve, it is difficult to measure the economic losses caused by voltage sag when the equipment suffers from voltage sag of this interval type. In this paper, a optimal configuration model of Inverter-Interfaced Distributed Generator based on process immune time is proposed, which calculates the economic loss caused by voltage sag according to whether the key physical parameters of industrial process meet the acceptable limits. The model considers both the economy of reversible distributed generation under normal operation and its ability to suppress voltage sag of distribution network under fault operation. The objective is to minimize the investment cost, network loss, power purchase cost of upper power grid and economic loss of voltage sag. The genetic algorithm is used to solve the model. The simulation results show that the optimal configuration scheme of reversible distributed generation considering voltage sag has better overall economy and stronger ability to suppress voltage sag.
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