“双碳”背景下线间潮流控制器多目标协调控制策略

doi:10.16183/j.cnki.jsjtu.2021.321

摘要/Abstract

摘要：

“碳达峰、碳中和”目标对考虑安全性和稳定性的电力系统低碳运行提出了更高要求,新能源的大规模接入容易引发电网潮流分布不均与机电振荡等问题.作为第3代柔性交流输电系统(FACTS)的代表性设备,线间潮流控制器(IPFC)具有强大的潮流调控、振荡阻尼和暂态稳定控制能力,但在不同工况下关注的主要目标不同,且目标间存在着矛盾关系.首先,基于改进相对增益矩阵(MRGA)理论, 线性化含IPFC的系统状态方程,量化分析目标间的相互作用,选择附加控制器的叠加位置,削弱稳态调控与动态控制间的交互影响.其次,针对暂态过程,结合模糊逻辑理论设计了IPFC多目标协调控制器.最后,通过粒子群算法优化了控制器参数,在提高暂态稳定和小干扰稳定的同时,减少暂态过程中的潮流超调,增强了IPFC在不同系统运行工况下的协调控制能力,有利于解决“双碳”背景下电力系统负荷大、惯性低、波动随机所带来的能源传输消纳与安全稳定控制等难题.

关键词: 线间潮流控制器, 交互影响, 协调控制, 模糊逻辑, 粒子群优化算法

Abstract:

The goal of “carbon peaking and carbon neutrality” puts forward higher requirements for low-carbon operation of power system considering security and stability. The large-scale access of new energy easily leads to problems such as uneven distribution of power flow and electromechanical oscillation. As the representative device of the third-generation flexible AC transmission system (FACTS), interline power flow controller (IPFC) is greatly capable of power flow control, damping control and transient stability control, but the main objectives of IPFC vary considerably under different working conditions, and there is contradiction between the goals. First, based on the improved relative gain matrix (MRGA) theory, the system state equation with IPFC was linearized, the interaction between targets was quantitatively analyzed, the superposition position of the additional controller was selected, and the interaction between steady-state control and dynamic control was weakened. Then, for the transient process, combined with fuzzy logic theory, the IPFC multi-objective coordinated controller was designed. Finally, the controller parameters were optimized using the particle swarm algorithm. While improving the transient stability and small disturbance stability, the controller reduced the power flow overshoot during the transient process and enhanced the coordinated control ability of IPFC under different system operating conditions. It was helpful to solve the problems of energy transmission and consumption, safety and stability control caused by the large load, low inertia, and random fluctuations of the power system under the “dual carbon” background.

Key words: interline power flow controller, interaction analysis, coordination control, fuzzy control, particle swarm optimization algorithm

中图分类号:

TM732

蔡晖, 高伯阳, 祁万春, 吴熙, 谢珍建, 黄俊辉. “双碳”背景下线间潮流控制器多目标协调控制策略[J]. 上海交通大学学报, 2021, 55(12): 1608-1618.

CAI Hui, GAO Boyang, QI Wanchun, WU Xi, XIE Zhenjian, HUANG Junhui. A Coordination Control Strategy of Interline Power Flow Controller in Carbon Peaking and Carbon Neutrality[J]. Journal of Shanghai Jiao Tong University, 2021, 55(12): 1608-1618.

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发电机	P_n	X_d	X'_d	X″_d	X_q	X″_q	T'_d₀	T″_d₀	T″_q₀	H
G₁	1.0	1.305	0.296	0.252	0.474	0.243	1.01 s	0.053 s	0.1 s	3.7
G₂	1.2	1.305	0.296	0.252	0.474	0.243	1.01 s	0.053 s	0.1 s	3.7

线路	r₁	l₁×10³	c₁×10⁹	长度/km
ij	0.02546	0.9337	12.74	0.4
ik	0.02546	0.9337	12.74	0.6
il	0.02546	0.9337	12.74	0.5

常规控制目标	常规控制对附加控制影响	附加控制对常规控制影响
主控侧有功	1.0542	1.0437
主控侧无功	0.9773	1.2262
辅控侧有功	1.0544	1.0431
直流侧电压	6.7813	1.3120

偏差微分	偏差
偏差微分	PB	PM	PS	ZR	NS	NM	NB
PB	PB	PB	PB	PM	PM	PS	ZR
PM	PB	PB	PM	PM	PS	ZR	NS
PS	PB	PM	PM	PS	ZR	NS	NM
ZR	PM	PM	PS	ZR	NS	NM	NM
NS	PM	PS	ZR	NS	NM	NM	NB
NM	PS	ZR	NS	NM	NM	NB	NB
NB	ZR	NS	NM	NM	NB	NB	NB