基于非对称参数控制的配电网光伏容量与调控能力的协调优化方法

刘文霞; 张博; 白亚玲; 吕笑影; 鲁宇

doi:10.19725/j.cnki.1007-2322.2023.0314

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基于非对称参数控制的配电网光伏容量与调控能力的协调优化方法

智能电网 | 更新时间：2025-10-22

- 基于非对称参数控制的配电网光伏容量与调控能力的协调优化方法
- Coordinated Optimization Method for Photovoltaic Capacity and Regulation Capability in Distribution Networks Based on Asymmetric Parameter Control
- 现代电力 2025年42卷第5期页码：856-866
- 作者机构：
  
  1. 新能源电力系统国家重点实验室(华北电力大学), 北京市昌平区,102206
  2. 国网吉林省电力有限公司经济技术研究院,吉林省,长春市,130022
- 作者简介：
  
  [ "刘文霞(1967)，女，教授，研究方向为电力系统规划与可靠性、电力系统风险评估等，E-mail：liuwenxia@163.com" ]
  [ "张博(2000)，男，硕士研究生，通信作者，研究方向为电力系统规划，E-mail：591038571@qq.com" ]
- 基金信息：
  
  国家电网有限公司科技项目(2021JBGS-03)。Project Supported by Science and Technology Foundation of State Grid Corporation of China (2021JBGS-03)。
- DOI：10.19725/j.cnki.1007-2322.2023.0314
  中图分类号： 5
- 纸质出版：2025
- 稿件说明：
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刘文霞, 张博, 白亚玲, 等. 基于非对称参数控制的配电网光伏容量与调控能力的协调优化方法[J]. 现代电力, 2025,42(5):856-866.

LIU Wenxia, ZHANG Bo, BAI Yaling, et al. Coordinated Optimization Method for Photovoltaic Capacity and Regulation Capability in Distribution Networks Based on Asymmetric Parameter Control[J]. 2025, 42(5): 856-866.
刘文霞, 张博, 白亚玲, 等. 基于非对称参数控制的配电网光伏容量与调控能力的协调优化方法[J]. 现代电力, 2025,42(5):856-866. DOI： 10.19725/j.cnki.1007-2322.2023.0314.

LIU Wenxia, ZHANG Bo, BAI Yaling, et al. Coordinated Optimization Method for Photovoltaic Capacity and Regulation Capability in Distribution Networks Based on Asymmetric Parameter Control[J]. 2025, 42(5): 856-866. DOI： 10.19725/j.cnki.1007-2322.2023.0314.

摘要

随着分布式光伏渗透率的提高，其出力不确定性恶化了电压质量和运行经济性，严重制约了分布式光伏进一步消纳。为应对这一问题，该文提出一种考虑成本约束的分布式光伏容量、可控光伏位置、逆变器容量、控制参数联合优化方法。首先，考虑运行场景的变化，充分利用光伏逆变器就地无功调压能力，建立非对称参数控制模型；然后，以控制建设和运行成本为约束，建立分布式光伏并网容量与逆变器调控能力、调控参数相协调的双层优化模型。考虑光伏、负荷短时波动不确定性的影响，通过优化方案形成和方案概率约束指标校核相结合的两阶段过程进行模型求解；最后，通过改进IEEE 33节点算例验证所提模型的有效性和实用性，并分析非对称参数、逆变器是否可控，以及成本约束对光伏接纳能力的影响和源荷不确定性对电压控制的影响，为欠发达地区提高光伏并网容量提供有益参考。

Abstract

The increasing penetration rate of distributed PV leads to the degradation in voltage quality and operation economy due to the uncertainty in its output

seriously restricting the further consumption of distributed PV. To address this issue

this paper proposes a joint optimization method for distributed PV capacity

controllable PV location

inverter capacity

and control parameters considering cost constraints. First

an asymmetric parameter control model is built based on the changes in operating scenarios and the reactive power regulation capability of photovoltaic inverters. Subsequently

constrained by control construction and operation costs

a two-layer optimization model is established to coordinate distributed PV grid-connected capacity

inverter coordination capability

as well as the coordination of the control parameters. And a two-stage solution process of optimization scheme formation and probabilistic constraint index scheme calibration is proposed considering the impact of short-term fluctuation uncertainty of photovoltaic and load. Finally

the model is verified by the IEEE 33 node arithmetic example. In addition

the effects of asymmetric parameters

controllability of the inverter

cost constraints on the PV admittance capacity and source-load uncertainty on the voltage control are investigated

which offer valuable references for non-developed regions seeking to enhance their PV grid-connected capacity.

关键词

Keywords

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