高比例可再生能源接入下含自愈性能的分布式配电网重构策略研究

doi:10.12096/j.2096-4528.pgt.23112

摘要/Abstract

摘要：

目的随着可再生能源电网占比逐年增加，电网的波动性和不确定性显著提升，给配电网的安全运行带来挑战。针对高比例新能源电网分布式配网重构问题，提出一种在线滚动优化框架方法。方法通过分布式共识协议获取网络拓扑和节点运行信息，在N-1和N-2线路故障状态下自动重构，实现配电网无额外外部触发信号情况下自动恢复正常运行，保证电网经济运行。同时采用滚动优化方法处理高比例可再生能源所导致的电网波动问题，并利用生成对抗网络(generative adversarial network，GAN)技术生成新数据，结合历史数据实现电网运行数据高精度预测。结果所提方法在正常状态、单点故障和两点故障3种情况下，均能实现电网的自动经济运行优化和自愈修复。结论与鲁棒规划和随机规划等方法相比，所提出方法可提升电网预测精度。

关键词: 可再生能源, 分布式电源, 配电网重构, 配电网自愈, 高比例新能源, 分布式优化, 滚动优化

Abstract:

Objectives As the proportion of renewable energy in power grids increases year by year, the volatility and uncertainty of the grid are significantly heightened, posing challenges to the safe operation of distribution networks. To address the issue of distributed network reconfiguration in high-proportion renewable energy grids, this paper proposed an online rolling optimization framework. Methods The framework utilized a distributed consensus protocol to obtain network topology and node operation information. It can enable automatic reconfiguration in the event of N-1 and N-2 line failures, allowing the distribution network to automatically restore normal operation without the need for additional external triggering signals, thus ensuring economic operation of the grid. Additionally, a rolling optimization method was employed to handle grid fluctuations caused by the high proportion of renewable energy, and generative adversarial network (GAN) technology was used to generate new data, which combined with historical data. It can help to achieve high-precision forecasting of grid operation data. Results The proposed method can achieve automatic economic optimization and self-healing in normal, single-point failure, and two-point failure scenarios. Conclusions This method provides an effective solution for ensuring the safe operation of distributed networks in high-proportion renewable energy grids.

Key words: renewable energy, distributed generator, distribution network reconstruction, distribution network self-healing, high proportion of new energy, distributed optimization, look-ahead optimization

中图分类号:

TK 01

吴任博, 黄奕俊. 高比例可再生能源接入下含自愈性能的分布式配电网重构策略研究[J]. 发电技术, 2024, 45(5): 975-982.

Renbo WU, Yijun HUANG. Research on Reconfiguration Strategy of Distributed Distribution Network With Self-Healing Performance Under High-Proportion Renewable Energy Access[J]. Power Generation Technology, 2024, 45(5): 975-982.

图/表 6

图1 带有光伏和风力涡轮机IEEE-33系统

Fig. 1 IEEE-33 system with photovoltaic and wind turbine

表1 与测试系统相关的参数

Tab. 1 Parameters related to the testing system

参数	数值	参数	数值
C^G/(美元/MW)	100	$η ̲ i, η ¯ i$	0.95, 1.05
C^M/(美元/MW)	25	$P ̲ i M, P ¯ i M$	0, 2
C^Loss/(美元/MW)	130	$Q ̲ i M, Q ¯ i M$	0, 1
C^λ/(美元/MW)	2 000	$n q i$	2×10^-5

表1 与测试系统相关的参数

Tab. 1 Parameters related to the testing system

参数	数值	参数	数值
C^G/(美元/MW)	100	$η ̲ i, η ¯ i$	0.95, 1.05
C^M/(美元/MW)	25	$P ̲ i M, P ¯ i M$	0, 2
C^Loss/(美元/MW)	130	$Q ̲ i M, Q ¯ i M$	0, 1
C^λ/(美元/MW)	2 000	$n q i$	2×10^-5

图2 正常运行状态

Fig. 2 Normal operation status

图3 常规单步法和提前4步预测法的网损指标对比

Fig. 3 Comparison of network loss indicators between conventional one-step method and advanced 4-step prediction method

图4 一条线路故障下的分布式网络状态

Fig. 4 Distributed network state under a line fault

图5 2条线路故障下的分布式网络状态

Fig. 5 Distributed network status under two line faults

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