Network Partition-Based Two-Layer Optimal Scheduling for Active Distribution Networks With Multiple Stakeholders

Xiao, Chuanliang; Ding, Ming; Sun, Lei; Chung, C.Y.

doi:10.1109/tii.2020.3038668

Cited by 9 publications

(4 citation statements)

References 27 publications

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“…where Z QU ij , Z PU ij , Z QU ji and Z PU ji represent the ij-th and ji-th elements of matrix Z QU , respectively. Z QU can be obtained from the Jacobian matrix [14,15]:…”

Section: Coupling Quality Function Of Cluster Partitionmentioning

confidence: 99%

Cluster Partition-Based Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks

Sun

2023

Energies

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Considering the possible overvoltage caused by high-penetration photovoltaics (PVs) connected to the distribution networks (DNs), a cluster partition-based voltage control combined day-ahead scheduling and real-time control for distribution networks is proposed. Firstly, a community detection algorithm utilizing a coupling quality function is introduced to divide the PVs into clusters. Based on the cluster partition, day-ahead scheduling (DAS) is proposed with the objective of minimizing the operating costs of PVs, as well as the on-load tap changer (OLTC). In the real-time control, a second-order cone programming (SOCP) model-based real-time voltage control (RTVC) strategy is drawn up in each cluster to regulate the PV inverters, and this strategy can correct the day-ahead scheduling by modifications. The proposed strategy realizes the combination of day-ahead scheduling and real-time voltage control, and the optimization of voltage control can be greatly simplified. Finally, the proposed method is applied to a practical 10 kV feeder to verify its effectiveness.

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“…where Z QU ij , Z PU ij , Z QU ji and Z PU ji represent the ij-th and ji-th elements of matrix Z QU , respectively. Z QU can be obtained from the Jacobian matrix [14,15]:…”

Section: Coupling Quality Function Of Cluster Partitionmentioning

confidence: 99%

Cluster Partition-Based Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks

Sun

2023

Energies

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“…Different stakeholders have different optimization goals in EM trading (Xiao et al, 2021), and a coupling relationship exists among the EM trading models (Yang et al, 2021). Finding the balanced benefits in EM trading has become a key way to keep the stability of the alliances (Cao et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Stackelberg game-based optimal electricity trading method for distribution networks with small-micro industrial parks

Chen,

Ye,

et al. 2024

Front. Energy Res.

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In order to improve the operating benefits of the distribution network (DN) and reduce the energy consumption costs of small-micro industrial parks (SMIPs), a two-layer optimal electricity trading method for DN with SMIPs is proposed. First, based on the Stackelberg game, a multi-objective two-layer optimal trading model for DN and SMIP is established. In the upper layer, the DN agent is regarded as the leader, and a trading model is established with the goal of maximizing the profits of agents. In the lower layer, an energy optimization model is proposed for the SMIP operators, which are regarded as the followers, with the goal of minimizing the operating costs. According to the buying and selling electricity prices at the upper and lower layers, a dynamic pricing strategy is formulated. The Karush–Kuhn–Tucker condition (KKT) is introduced to transform the two-layer model into a single-layer model, and based on linear transformations, the model is further converted into a mixed-integer linear programming model. The transformations aim to address the non-linear issues arising from multivariable coupling between the upper and lower-layer trading models. The simulation results show that the trading strategy proposed in this paper can effectively increase the profit of DNs while reducing the operating costs of SMIPs and can provide a reference for decision-making in the electricity market (EM) with the participation of SMIP.

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“…References (Zhang et al, 2024a) considered the influence of electric vehicle access on the power grid, and proposed to use the on-load voltage regulator and electric vehicle in the distribution network for coordinated voltage regulation. In (Almeida et al, 2021;Xiao et al, 2021), the reactive power and voltage control strategy of distribution network considering the reliability of photovoltaic power supply is proposed by using the reactive power support ability of photovoltaic power supply. In reference (Li et al, 2019), the local voltage control based on real-time measurement can quickly respond to the frequent fluctuations of distributed generation (DG).…”

Section: Introductionmentioning

confidence: 99%

Collaborative scheduling method of active-reactive power for rural distribution systems with a high proportion of renewable energy

Liu,

Li,

et al. 2024

Front. Energy Res.

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Large-scale distributed renewable energy connected to the rural distribution network has given birth to a new rural distribution system with a high proportion of new energy typical characteristics, and the optimal scheduling of the new rural distribution system has become an important issue to ensure the safe and stable operation of the power grid. This paper proposes a method of active-reactive power collaborative optimization scheduling for rural power distribution system with a high proportion of renewable energy. Firstly, the active support capability evaluation model is established, and the active power support capability and reactive power support capability of rural power distribution system are quantitatively evaluated, which provides data basis and boundary conditions for the scheduling part. Then, considering power-loss cost, distribution network operation cost, and penalty cost, a method of active-reactive power collaborative optimization scheduling for rural power distribution systems with a high proportion of renewable energy is proposed. Finally, the active support capability evaluation and regulation platform of the rural power distribution system is built to provide technical support services for the safe and stable operation of the rural power distribution system. Given the problems of overload and overvoltage faced by rural power distribution systems with a high proportion of renewable energy, this paper aims to solve the key technical challenges of optimization and regulation of new rural power distribution systems. The results show that the optimized control method proposed in this paper has better security and economy, and is conducive to promoting the construction and operation of the new rural power distribution system.

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Network Partition-Based Two-Layer Optimal Scheduling for Active Distribution Networks With Multiple Stakeholders

Cited by 9 publications

References 27 publications

Cluster Partition-Based Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks

Cluster Partition-Based Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks

Stackelberg game-based optimal electricity trading method for distribution networks with small-micro industrial parks

Collaborative scheduling method of active-reactive power for rural distribution systems with a high proportion of renewable energy

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