Equivalent Modeling Method for Regional Decentralized Photovoltaic Clusters Based on Cluster Analysis

Wu, Hongbin; Liu, Zhongqian; Chen, Yu; Xu, Bin; Qi, Xianjun

doi:10.24295/cpsstpea.2018.00014

Cited by 13 publications

(4 citation statements)

References 13 publications

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“…Referring to the multi-turbine and single-turbine equivalent methods for wind turbines (Wang et al, 2012;Li et al, 2014), the multipanel equivalent can be regarded as the multiple single-panel equivalents for PVs with different characteristics (Han et al, 2019). These PVs are classified according to their operating characteristics to form multiple single-panel equivalent nodes (Wu et al, 2018). The single-panel equivalent of centralized PVs with similar dynamic characteristics can be achieved through weighted parameters (Meng et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Equivalent of distribution network with distributed photovoltaics for electromechanical transient study based on user-defined modeling

Jiang¹,

Zhao²,

et al. 2023

Front. Energy Res.

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As more and more distributed photovoltaics (PVs) are installed in distribution networks, the dynamic characteristics of PVs affect the operation of the bulk power system. Accurate simulation of PV characteristics is essential for the needs of power system transient security and stability analysis. However, because of the large number of distributed PVs, detailed modeling of each PV significantly increases the electromechanical transient simulation time. The equivalent study of distribution networks with distributed PVs is needed to improve simulation efficiency. However, existing equivalent methods of PVs mainly focus on centralized PVs but are unsuitable for distributed PVs with significantly different dynamic characteristics. To improve simulation efficiency, this paper proposes an equivalent method of the distribution network with distributed PVs for electromechanical transient study based on user-defined (UD) modeling. Firstly, the equivalent structure of the distribution network is established. The static equivalent of the transmission lines and the dynamic equivalent model of loads are carried out. Then, a UD model based on PSASP is established for the dynamic equivalent of the distributed PVs. Compared with the current PV models in simulation software, the UD model has multiple sets of parameters for the equivalent of distributed PVs with different dynamic characteristics. Finally, the particle swarm optimization (PSO) algorithm is used to obtain the parameters of the equivalent PV. The effectiveness of the proposed method is verified under an example of a distribution network with PVs in PSASP.

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Section: Introductionmentioning

confidence: 99%

Equivalent of distribution network with distributed photovoltaics for electromechanical transient study based on user-defined modeling

Jiang¹,

Zhao²,

et al. 2023

Front. Energy Res.

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show abstract

“…After the clustering of the PV system is completed, the PV units clustered into one group need to be equivalent. The method of calculating the parameters of the system after the equivalence is described in reference [24].…”

Section: Clustering and Equivalent Process Of Pv Systemmentioning

confidence: 99%

Equivalent Modeling of Photovoltaic Power Station Based on Canopy-FCM Clustering Algorithm

Zhang

Luo

et al. 2019

IEEE Access

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Grid-connected photovoltaic power generation has become an effective way to utilize solar energy. In order to accurately analyze the dynamic characteristics of a grid-connected photovoltaic power station, an equivalent modeling method based on the Canopy-FCM clustering algorithm is proposed. Considering the lack of theoretical basis for the selection of the traditional clustering index, this paper deduces the transfer function of the grid-connected inverter control system based on the detailed model and proposes a new clustering index, which takes the zero-pole expression of the closed-loop transfer function as the prototype. In order to improve the fuzzy C-means clustering method, which is sensitive to the initial clustering centers and the outliers, a Canopy algorithm with lower computation cost is introduced. Before fuzzy C-means clustering analysis, the Canopy algorithm is used to determine the initial clustering centers and the number of clusters to improve the accuracy and efficiency of the clustering algorithm. The effectiveness of the proposed method is verified by simulation examples. INDEX TERMS Grid-connected photovoltaic station, improved fuzzy C-means, clustering and equivalence, canopy algorithm.

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“…A large number of studies have optimized the PV output scheduling of systems with uncertainty by dividing different scenarios to achieve the coordination of multiple distributed power sources, which makes the energy supply model more efficient and improves the economy and stability of the system [28][29][30]. The method of PV clustering is also reflected in many studies, and an equivalent computational model can be obtained by analyzing the clustering of high-density distributed PVs connected to the distribution grid [31]. Studies have also presented the clustering method in detail and have demonstrated how it works in simulation models [32][33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple Scenarios

Hou,

Chen,

Wang

et al. 2023

Inventions

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To better consume high-density photovoltaics, in this article, the application of energy storage devices in the distribution network not only realizes the peak shaving and valley filling of the electricity load but also relieves the pressure on the grid voltage generated by the distributed photovoltaic access. At the same time, photovoltaic power generation and energy storage cooperate and have an impact on the tidal distribution of the distribution network. Since photovoltaic output has uncertainty, the maximum photovoltaic output in each scenario is determined by the clustering algorithm, while the storage scheduling strategy is reasonably selected so the distribution network operates efficiently and stably. The tidal optimization of the distribution network is carried out with the objectives of minimizing network losses and voltage deviations, two objectives that are assigned comprehensive weights, and the optimization model is constructed by using a particle swarm algorithm to derive the optimal dispatching strategy of the distribution network with the cooperation of photovoltaic and energy storage. Finally, a model with 30 buses is simulated and the system is optimally dispatched under multiple scenarios to demonstrate the necessity of conducting coordinated optimal dispatch of photovoltaics and energy storage.

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Equivalent Modeling Method for Regional Decentralized Photovoltaic Clusters Based on Cluster Analysis

Cited by 13 publications

References 13 publications

Equivalent of distribution network with distributed photovoltaics for electromechanical transient study based on user-defined modeling

Equivalent of distribution network with distributed photovoltaics for electromechanical transient study based on user-defined modeling

Equivalent Modeling of Photovoltaic Power Station Based on Canopy-FCM Clustering Algorithm

Optimal Dispatch Strategy for a Distribution Network Containing High-Density Photovoltaic Power Generation and Energy Storage under Multiple Scenarios

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