A distributed voltage control model with a novel network partitioning method based on Lagrangian dual relaxation is proposed, where the capacity curve of DGs and the regulation of electrical
Distributed photovoltaic power generation can efficiently utilize idle resources and reduce carbon emissions. In order to reduce the impact of grid-connected di Short-term
In the process of building a new type of power system with clean energy as the main body, the large-scale promotion of inverter-type distributed generation (Distributed Generation, DG),
At present, there are mainly two assessment methods for distributed PV hosting capacity of distribution network at home and abroad. One is the simulation method based on
Integration of distributed generation (DG) at large scale with high penetration challenges the radial structure of the traditional distribution networks and the effectiveness of the conventional voltage regulation
Request PDF | On Dec 1, 2022, Hui Chen and others published Distributed Photovoltaic Power Cluster Partition Based on DPC Clustering Algorithm | Find, read and cite all the research you
To achieve large-scale renewable energy, grid friendly coordination and the need to maximize grid-connection and consumption functions, the clustering method has become a forward
With the distributed access of large-scale renewable energy, the distribution network is facing more and more serious problems such as overvoltage and power backfeeding. This puts
The system power flow balance, node voltage deviation, reverse load rate of distribution transformers, and line current carrying capacity were taken as constraints, and the distributed
A cluster partition method which considers the voltage regulation capability of distributed PVs as well as the voltage amplitude sensitivity of both active and reactive power. •
A cluster partitioning method is proposed to address the issues of overvoltage and power flow reversal caused by the integration of high penetration distributed photovoltaic power sources
Download Citation | On Aug 25, 2023, Tao Meng and others published Research on Partition Method of Distributed Photovoltaic Cluster Based on Modularity Index and Absorption Ability |
This research offers a distributed power cluster division technique based on Smart Local Moving (SLM) to overcome the problem of challenging regulation of distributed power supply in
By taking the distribution network planning for the renewable energy with high penetration as a scene, the method for cluster partition considering structural and functional
A cluster partitioning method is proposed to address the issues of overvoltage and power flow reversal caused by the integration of high penetration distributed photovoltaic
The above existing distribution network partitioning methods mainly consider electrical distance indicators. The research focuses on distribution network voltage control, mainly focusing on
Abstract: Integration of distributed generation (DG) at large scale with high penetration challenges the radial structure of the traditional distribution networks and the effectiveness of the
A network partition method based on affinity propagation algorithm considering the photovoltaic uncertainty is proposed. The traditional probability density function (PDF) of PV was updated by the random simulation method. LinDistflow equation is used to achieve the conversion of the active power loss minimization model.
Among them, the zonal voltage control based on the clusters partitioning is a key technique and research focus. In [ 27 ], an economical operation strategy is proposed based on load response and system partitioning, in which a two-stage optimisation schedule is proposed for post-contingency power systems incorporated with DGs.
An effective method, based on spectral clustering algorithm, is proposed for the partitioning of the DG network via the judgement of critical load buses. Two-stage voltage regulation optimisation is realised in each sub-community. The optimal objects are the minimal voltage fluctuation and the network loss of the distributed network.
In order to ensure the randomness and partition result of PV output as stable as possible, including all operating intervals of the system, the requirements of this processing method are as follows: it can accurately describe the influence of PV output fluctuation on electrical distance, without affecting the partition result of the power grid.
In order to make the power grid easy to control, manage and dispatch, it is feasible to optimize the voltage of the power distribution network by using distributed control after partitioning the ADN.
K -means [ 31] and spectral clustering [ 27, 28, 30] methodologies are proved to be effective in solving the problem of power network partition. However, the K -means algorithm has disadvantages of dependence on the initial set of partition and result randomness.
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