Research on Active Distribution Network Scheduling Considering Source-Storage-Load Interaction

Liu, Zhijun; Gao, Meijin; Yu, Bin; Wu, Jun; Peng, Yonggang; Zhu, Cheng‐Ye

doi:10.1109/powercon53785.2021.9697584

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…The multi-layer coordinated distributed control architecture of the distribution system as shown in Figure 2 is: the following three types of agents are formed through the introduction of a multi-agent system, distribution network agents, regional agents, and controlled element agents, where controlled element agents include regional source, network, load, and storage agents and source, network, load, and storage agents involved in the core coordination and optimization of the distribution network main body. This leads to regional distribution autonomy and regulation [7][8].…”

Section: Multi-layer Coordinated Distributed Control Architecturementioning

confidence: 99%

Improvement of source network load and storage regulation capacity based on CCG and ADMM algorithm solving models

Liu,

Ji,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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This paper establishes a three-layer centralized control architecture for transmission grid, distribution grid and local equipment and a multi-layer coordinated distributed control architecture for distribution system; exploring the "sourcenetwork-load-storage" comprehensive coordination and interaction mechanism of power distribution system; researching on the operation of equipment at the source, network, load and storage ends of the distribution network, and construct a coordinated centralized optimization model of "source-network-load-storage" and a zoned distributed optimization model based on the data-driven distribution robustness method, the CCG algorithm and ADMM algorithm are used to solve the problem effectively, and the method of this paper can realize the improvement of "source-network-load-storage" regulation ability.

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Section: Multi-layer Coordinated Distributed Control Architecturementioning

confidence: 99%

Improvement of source network load and storage regulation capacity based on CCG and ADMM algorithm solving models

Liu,

Ji,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

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“…Literature has studied the dispatch strategy of multiple loads at the distribution network level. In [3], the active distribution network optimal dispatching method with adjustable load is proposed, which promoted the new energy consumption. The load model is incorporated into the dispatching model to realize load collaborative optimization [4] .…”

Section: Introductionmentioning

confidence: 99%

Optimal scheduling method of air source heat pump heating station considering optimal power flow of distribution network

Liu,

Xu,

Song

2023

J. Phys.: Conf. Ser.

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Participation of adjustable loads in demand response can alleviate power supply and demand challenges. As a typical adjustable load, this paper gives an optimal scheduling method considering optimal power flow in distribution networks of air source heat pumps, and studies adjustable load power allocation schemes for multiple distribution network nodes. The scheme with the goal of the lowest network loss determines the scheduling amount of the corresponding node heat supply stations to achieve optimal power flow dispatch, and the genetic algorithm is used to solve the model. Specific examples analysis shows that the proposed decision-making method can reasonably allocate power adjustments, prevent node voltage overruns in distribution networks, and reduce active power losses.

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Research on Active Distribution Network Scheduling Considering Source-Storage-Load Interaction

Cited by 2 publications

References 11 publications

Improvement of source network load and storage regulation capacity based on CCG and ADMM algorithm solving models

Improvement of source network load and storage regulation capacity based on CCG and ADMM algorithm solving models

Optimal scheduling method of air source heat pump heating station considering optimal power flow of distribution network

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