Layered Coordination Control of Distribution Network Considering Load Uncertainty

WANG Wei,SUN Xia,GUO Jun,JIANG Wei,SUN Zhebin,LIU Pengxuan

Distributed Energy ›› 2024, Vol. 9 ›› Issue (2) : 89-96.

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Distributed Energy ›› 2024, Vol. 9 ›› Issue (2) : 89-96. DOI: 10.16513/j.2096-2185.DE.2409210
Application Technology

Layered Coordination Control of Distribution Network Considering Load Uncertainty

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Abstract

Ignoring the load characteristics of distribution network operation will lead to insufficient optimization of battery state and power exchange. In order to solve the problems of distribution network node topology and load uncertainty, a hierarchical coordination control method for distribution network considering load uncertainty is proposed. The topological structure of distribution network including load node, transformer, circuit breaker, isolation switch and other nodes is analyzed, and the energy relationship under grid-connected mode and island mode is calculated respectively, and the hierarchical coordination control model of source, network, load and storage is established. In addition, Atin hypercube sampling method is used to generate uncertain scenes, and parameters such as inertia weight and learning factor are introduced to improve the particle swarm optimization algorithm, and the regulation process of multi-objective layered particle swarm optimization is designed to realize the layered coordinated control of load and storage in the source network of the distribution network. The experimental results show that the energy state of the battery is better and the exchange power is higher after the method is applied. The effect of hierarchical coordination control is better, and the load state of distribution network can be adjusted adaptively according to the actual demand.

Key words

node topology / load uncertainty / distribution network / hierarchical coordination control / particle swarm optimization algorithm

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Wei WANG , Xia SUN , Jun GUO , et al . Layered Coordination Control of Distribution Network Considering Load Uncertainty[J]. Distributed Energy Resources. 2024, 9(2): 89-96 https://doi.org/10.16513/j.2096-2185.DE.2409210

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