Reactive Power Optimization Control for Renewable Energy in Distribution Networks Considering Active Power Uncertainties

doi:10.11930/j.issn.1004-9649.202310053

Abstract

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

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202310053

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

Figures/Tables 9

Fig.1 Voltage control framework

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

Fig.3 Topology of example system

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

Fig.4 PV output power curve in 24 h

Fig.5 Wind turbine output power curve in 24 h

Fig.6 Total load power curve in 24 h

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

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

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