考虑有功不确定性的配电网新能源无功优化控制

doi:10.11930/j.issn.1004-9649.202310053

摘要/Abstract

摘要：

提出了一种考虑有功不确定性的配电网新能源无功-电压下垂双层鲁棒优化控制模型。首先，在参考点优化层，以多时段总运行成本最小为目标，对静止无功补偿设备与调压变压器的协调控制指令、新能源的无功功率参考值和端口电压参考值等系统中影响无功分布的典型相关控制量进行优化；然后，在斜率优化层，基于双层列生成算法框架，分别建立斜率指令优化主问题模型和极端场景集筛选子问题模型。结果表明，所提出的优化控制方法不仅可以有效适应新能源发电出力的随机波动，同时能够充分利用其并网换流器的无功容量，在优化系统网损和调压设备操作成本的同时，增强系统运行的可靠性。

关键词: 双层列生成, 电压调控, 鲁棒优化, 下垂控制

Abstract:

A dual-layer robust optimization control method based on the droop principle of reactive power and voltage is proposed for renewable energy in distribution networks, considering active power uncertainties. First, in the reference-point optimization layer, the typical control quantities that affect the reactive power distribution in the power system are optimized with the objective of minimizing the overall cost over the multi-period, such as the static reactive power compensation devices, the coordinated control instructions of voltage regulating transformers, and the reactive power and port voltage reference values for renewable energy. Secondly, in the slope optimization layer, based on the column-and-constraint generation (C&CG) algorithm framework, the main problem model of slope instruction optimization and the sub-problem model of extreme scenarios set filtering are established. The results demonstrate that the proposed optimization control method can not only effectively adapt to the random fluctuations of renewable energy generation output but also maximize the utilization of reactive power capacity of grid-connected converters. It can optimize the system network losses and the operational cost of voltage regulation devices and enhance the operation reliability of power systems.

Key words: column-and-constraint generation, voltage regulation, robust optimization, droop control

张静忠, 蒙飞, 孙阳, 于慧霞. 考虑有功不确定性的配电网新能源无功优化控制[J]. 中国电力, 2024, 57(3): 51-59.

Jingzhong ZHANG, Fei MENG, Yang SUN, Huixia YU. Reactive Power Optimization Control for Renewable Energy in Distribution Networks Considering Active Power Uncertainties[J]. Electric Power, 2024, 57(3): 51-59.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202310053

https://www.electricpower.com.cn/CN/Y2024/V57/I3/51

图/表 9

图 1 电压调控框架

Fig.1 Voltage control framework

图 2 斜率优化层主-子问题迭代求解框架

Fig.2 Framework of master-slave iteration for droop control slope optimization layer

图 3 算例系统拓扑

Fig.3 Topology of example system

表 1 分布式新能源接入位置及容量信息

Table 1 Location and capacity of distributed renewable energy

序号	接入节点	容量/MW	新能源类型
1	8	2	光伏
2	12	1	光伏
3	20	1	直驱风机
4	22	2	直驱风机
5	30	1	光伏

图 4 光伏并网功率24 h变化曲线

Fig.4 PV output power curve in 24 h

图 5 风机并网功率24 h变化曲线

Fig.5 Wind turbine output power curve in 24 h

图 6 负荷总用电功率24 h变化曲线

Fig.6 Total load power curve in 24 h

表 2 3种调压方法的系统运行成本对比

Table 2 Operation cost comparison of 3 voltage control methods 单位：元

调压方法	f₁+f₂	f₃	f₁+f₂+f₃
1	1696.1	285	1981.1
2	1692.5	285	1977.5
3	1742.3	340	2082.3
4	1857.6	460	2317.6

图 7 不同调压方法控制下的系统电压可靠性统计结果

Fig.7 Statistical results of voltage reliability under different voltage control methods

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