Reliability analysis of active distribution network with distributed renewable power plant cluster

Gao, Shan; Hangwei, Ji; Han, Haiteng

doi:10.1109/ciced.2016.7576271

Cited by 3 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Though the equivalent using the multi-panel method has high accuracy, but obtaining the structure of the equivalent system is not practicable. It is because the distribution network with high penetration distributed generation usually uses flexible topology structure that changes frequently to manage the power flow in order to actively control and manage distributed energy (Shan et al, 2016). Therefore, the single-panel equivalent of PVs should be used to obtain an unchanged structure of the equivalent system.…”

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.

View full text Add to dashboard Cite

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.

show abstract

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.

View full text Add to dashboard Cite

show abstract

“…The coordinated optimization and control of distributed generation grids are beneficial for addressing the integration and operational control issues of highly penetrated distributed energy networks [1]. It plays a crucial role in reducing the operating costs of distributed generation networks, addressing environmental concerns, and improving grid security and stability [2][3][4]. However, in China, the coordinated control of distributed generation grids is still in its early stages [5].…”

Section: Introductionmentioning

confidence: 99%

Distributed coordination voltage control of multiple grids in active distribution network

Zhao,

Wang,

Chen

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

View full text Add to dashboard Cite

With the rapid advancement of smart grids and energy innovation strategies, the widespread promotion of active distribution network control technology will become the key driving force behind the intelligent development of distribution grids. However, the intermittency and uncertainty of distributed power sources, the need for more inverters to participate in regulation, the diversification of load development trends, and the continuous improvement of user power supply requirements have posed significant challenges to the operation and regulation of active distribution networks. This article proposes a distributed generation voltage coordination control strategy based on the existing division of distribution grids. This strategy enables each grid to respond to the system's power generation requirements under changing system conditions, allowing each grid to have autonomous and precise control. Additionally, the effectiveness of the proposed control scheme is validated through simulation using the MATLAB/Simulink platform, where scenarios with sudden load changes are set up and simulated.

show abstract

“…The simulation was done with a real data for DNs considering communications influence and random effects. Reliability analysis of active distribution network with distributed renewable power plant cluster is investigated in Ref 15. They use sequential Monte‐Carlo simulation method to calculate the reliability indexes considering different distributed energy permeability, network structure, and distribution automation level.…”

Section: Introductionmentioning

confidence: 99%

Planning and reliability assessment to integrate distributed automation system into distribution networks utilizing binary hybrid PSO and GSA algorithms considering uncertainties

Shafik

Chen

Rashed

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Around the world, automation is transforming work, business, and the economy as one of the Pillars of a smart grid. The vital role behind utilizing the automation system into distribution networks is to achieve grid self‐healing and improve the reliability level. Distributed Automation (DA) can be achieved via Smart secondary substations at each load point with installed automatic sectionalize switches that need a large investment. Therefore, this paper provides a long‐term plan based on a cost/benefit study to define the optimal automation level of Distribution networks constrained with system reliability indices limits. DA planning is categorized as a non‐linear Mixed Integer optimization problem with multi‐dimensions. Hence, it is not possible to apply numerical algorithms to directly search for all possible automation scenarios. To solve that problem; Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (HPSO‐GSA) technique provides a binary‐coded procedure to handle all the controlled variables to provide the best solution within the permissible limits. The effectiveness of the proposed methodology is demonstrated by applying it to RBTS‐Bus 4 standard reliability test system considering uncertainty in Cost Damage Function (CDF), Investment Cost (IC), and Failure Rate (FR). Also, this paper study the effect of change in Depreciation ratio (DR), Load Growth (LG) rate besides; peak Load Change (LC). Finally, a reliability assessment using NEPLAN software is done for the optimal decision to enhance the technical analysis. Moreover, Distributed Generations (DG) has a significant impact on the reliability of distribution networks. Simulation results indicate that the system reliability cost is significantly reduced with adequate system reliability level, with comparative results to those in literary studies.

show abstract

Reliability analysis of active distribution network with distributed renewable power plant cluster

Cited by 3 publications

References 6 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

Distributed coordination voltage control of multiple grids in active distribution network

Planning and reliability assessment to integrate distributed automation system into distribution networks utilizing binary hybrid PSO and GSA algorithms considering uncertainties

Contact Info

Product

Resources

About