采用有载调容调压变和MPC技术的配电台区低电压治理

徐峰亮; 王发义; 赵建涛; 张帅; 赵凤展

doi:10.12204/j.issn.1000-7229.2023.10.012

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电力建设 ›› 2023, Vol. 44 ›› Issue (10) : 117-126. DOI: 10.12204/j.issn.1000-7229.2023.10.012

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采用有载调容调压变和MPC技术的配电台区低电压治理

徐峰亮 ¹ ,
王发义 ¹ ,
赵建涛 ² ,
张帅 ³ ,
赵凤展 ³

作者信息 +

Low-Voltage Management in Distribution Platform Area by On-load Capacity and Voltage Regulating Transformer and Model Predictive Control Technology

Author information +

文章历史 +

摘要

针对乡村地区低压配电台区广泛存在的由于炒茶炉或电采暖等时段性大负荷引起的低电压问题,传统的电网规划方法往往为了提高供电能力而大幅度增大配电设备,从而导致配电变压器在低负荷时段轻载运行且损耗高。为了满足节能和低碳发展的需要,设计了一套采用有载调容调压变压器并基于模型预测控制(model predictive control,MPC)技术的日前调度和日内校正相结合的配电台区供电时段性低电压治理及经济运行优化调控策略,最后为适应未来新型电力系统发展形态,用含不同分布式光伏电源比例配电网算例验证了所提方法的有效性和对新型电力系统发展的适应性。

Abstract

In view of the low-voltage problem caused by large loads, such as tea stoves or electric heating, in time periods in rural areas, the traditional power network planning method often significantly increases the distribution equipment, aiming to improve the power supply capacity, which leads to light-load operation and high loss of distribution transformers in low-load periods. To meet the requirements of energy-saving and low-carbon development, a set of control strategies for low-voltage governance and economic operation coordination in different periods in the power distribution area is designed, which uses an on-load capacity voltage-regulating transformer and reactive power compensation equipment and combines day-ahead scheduling and day-ahead correction based on model predictive control (MPC) technology. Finally, the effectiveness of the proposed method and its adaptability to the development of new power systems are verified using an example of a distribution network with different proportions of distributed photovoltaic power.

导出引用

徐峰亮, 王发义, 赵建涛, 等. 采用有载调容调压变和MPC技术的配电台区低电压治理[J]. 电力建设. 2023, 44(10): 117-126 https://doi.org/10.12204/j.issn.1000-7229.2023.10.012

Fengliang XU, Fayi WANG, Jiantao ZHAO, et al. Low-Voltage Management in Distribution Platform Area by On-load Capacity and Voltage Regulating Transformer and Model Predictive Control Technology[J]. Electric Power Construction. 2023, 44(10): 117-126 https://doi.org/10.12204/j.issn.1000-7229.2023.10.012

中图分类号： TM421

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