成龙, 李国庆, 陈宇航, 王翀, 王振浩. 分层协同的交直流混合配电网优化运行[J]. 电网技术, 2025, 49(3): 1197-1206. DOI: 10.13335/j.1000-3673.pst.2024.1079
引用本文: 成龙, 李国庆, 陈宇航, 王翀, 王振浩. 分层协同的交直流混合配电网优化运行[J]. 电网技术, 2025, 49(3): 1197-1206. DOI: 10.13335/j.1000-3673.pst.2024.1079
CHENG Long, LI Guoqing, CHEN Yuhang, WANG Chong, WANG Zhenhao. Hierarchically-coordinated Optimal Operation for Hybrid AC/DC Distribution Networks[J]. Power System Technology, 2025, 49(3): 1197-1206. DOI: 10.13335/j.1000-3673.pst.2024.1079
Citation: CHENG Long, LI Guoqing, CHEN Yuhang, WANG Chong, WANG Zhenhao. Hierarchically-coordinated Optimal Operation for Hybrid AC/DC Distribution Networks[J]. Power System Technology, 2025, 49(3): 1197-1206. DOI: 10.13335/j.1000-3673.pst.2024.1079

分层协同的交直流混合配电网优化运行

Hierarchically-coordinated Optimal Operation for Hybrid AC/DC Distribution Networks

  • 摘要: 为应对由高比例分布式电源(distributed generation,DG)出力强随机性引起的电压波动越限,并降低系统的运行损耗,提出集中-就地分层协同的交直流混合配电网优化运行模型,通过充分挖掘系统中光伏(photovoltaic,PV)并网逆变器和直流组网电压源型变流器(voltage source converter,VSC)的容量与功率/电压调控能力,实现以最小化运行有功损耗和节点电压偏差为目标的系统优化运行。所提模型对光伏逆变器参与集中调控的初始无功设定点,以及光伏逆变器和VSC在就地控制阶段的预设下垂函数进行同时优化,以实现光伏和负荷功率随机变化下集中和就地控制层之间的协同调控。以不确定性概率分布描述光伏和负荷功率的典型场景,并结合二阶锥凸松弛和线性化实现对所提随机优化模型的转化与求解。最后,通过改进的IEEE 33节点交直流混合配电网测试算例,验证了所提分层协同优化运行模型的有效性和优越性。

     

    Abstract: To cope with voltage fluctuations and exceeding the limits caused by the strong randomness of the output power of a high proportion of distributed generations (DGs) and reduce system operating losses, a centralized and local hierarchically-coordinated optimal operation model of hybrid AC/DC distribution networks is proposed. By fully tapping into the capacity and power/voltage regulation capabilities of grid-integrated photovoltaic (PV) inverters and DC networking voltage source converter (VSC) in the system, the system's optimal operation is achieved to minimize the operating active power losses and bus voltage deviations. The proposed model simultaneously optimizes the set points of the initial reactive of the PV inverters participating in centralized regulation, as well as the preset droop functions of the PV inverters and VSCs in the local control stage, to achieve collaborative regulation between the centralized and local control layers under the random changes of PV and load power. An uncertainty probability distribution describes the typical scenarios of PV and load power, then the proposed stochastic optimization model is transformed and solved by combining the second-order cone convex relaxation and linearization. Finally, the effectiveness and superiority of the proposed hierarchically-coordinated optimal operation model are verified through a test study of an improved IEEE 33-bus hybrid AC/DC distribution network.

     

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