Discussion on the Coordinated Development of Distributed Photovoltaic Power Generation and Active Distribution Network

2021 ◽  
Keyword(s):  
Power Generation ◽  
Distribution Network ◽  
Coordinated Development ◽  
Active Distribution Network ◽  
Photovoltaic Power

Reliability Analysis of Distribution Network with Integrated Photovoltaic Power Generation

2014 ◽  
Vol 672-674 ◽  
pp. 956-960
Author(s):  
Ke Huang ◽  
Xin Wang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Yan Ling Liu
Keyword(s):  
Power Generation ◽  
Power Supply ◽  
Distribution System ◽  
Operation Mode ◽  
Distribution Network ◽  
Photovoltaic Power ◽  
Reliability Calculation ◽  
Set Up ◽  
Pv Generation ◽  
Equivalent Method

To analyze the influence of distribution network with grid-connected photovoltaic (PV) generation on the power supply reliability, in this paper it firstly regards interconnected PV generation as an equivalent generator with rated capacity as well as the island operation mode of PV to set up a model for reliability calculation and analysis. Based on the network equivalent method, the structure of distribution system with PV is simplified and then the reliability indexes of distribution system are worked out based on Failure Mode and Effects Analysis (FMEA). At last, a comparative calculation between the distribution network with incorporated PV generations and that without PV generations is made. After analyzing a real example, the results suggest that integrating PV power generations reasonably into the distribution network can enhance the reliability of whole distribution system.

The Influence and Countermeasures Research of Large-Scale Distributed Photovoltaic Access to the Distribution Network

2014 ◽  
Vol 953-954 ◽  
pp. 61-65
Author(s):  
Jing Chao Zhang ◽  
Zheng Gang Wang ◽  
Feng Zhen Zhou ◽  
Ning Xi Song ◽  
Qian Wang
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power Flow ◽  
Large Scale ◽  
Industrial Revolution ◽  
Simulation Analysis ◽  
Negative Impact ◽  
Rapid Development ◽  
Distribution Network ◽  
Photovoltaic Power

In recent years, with the gradual depletion of traditional energy, as renewable energy representatives, new energy has developed rapidly. We know that distributed photovoltaic power generation with clean, pollution-free, easy installation, and therefore has been rapid development. However, the large number of distributed photovoltaic power generation connected to the distribution network would have a negative impact on the grid with a safe and reliable operation because of its randomness and volatility intrinsic properties. In this paper, in terms of power flow, voltage distribution, load characteristics, power quality, system protection and reliability departure, through MATLAB simulation analysis, the distribution network transformation strategies of primary and secondary devices has been proposed. It laid an important foundation for renewable energy development and the Third Industrial Revolution.

The Research on the Planning of Distributed PV Systems in Connection with Urban Distribution Network

2014 ◽  
Vol 672-674 ◽  
pp. 94-98
Author(s):  
Jing Wang
Keyword(s):  
Power Generation ◽  
Distribution Network ◽  
Search Space ◽  
Particle Swarm Algorithm ◽  
Sensitivity Index ◽  
Multi Objective ◽  
Pv Systems ◽  
Photovoltaic Power ◽  
Multi Objective Programming ◽  
Urban Distribution

For the capacity and the location of the photovoltaic power generation in the urban distribution network, this paper adopts LSI(Loss sensitivity index) to determine the access to the location of photovoltaic power generation system. At the same time, we put forward a kind of multi-objective programming methods for the distribution network, which adopts three sorts of indices including LOI(Loss optimization index), EOI(Environmental optimization index) and VQI (Voltage quality index) as a multi-objective function. Therefore, an auxiliary search space is built in this paper to improve BPSO(binary particle swarm algorithm), in order to solve the complicated nonlinear optimization problem. And through the simulation verification IEEE-30, the simulation results show that this method can realize the optimization of distribution network system configuration.

scholarly journals Data-Driven Kernel Extreme Learning Machine Method for the Location and Capacity Planning of Distributed Generation

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 109 ◽  
Author(s):  
Jingjing Tu ◽  
Yonghai Xu ◽  
Zhongdong Yin
Keyword(s):  
Power Generation ◽  
Distribution System ◽  
Large Scale ◽  
Voltage Stability ◽  
Distribution Network ◽  
Peak Load ◽  
Data Driven ◽  
Support Vector ◽  
Machine Method ◽  
Photovoltaic Power

For the integration of distributed generations such as large-scale wind and photovoltaic power generation, the characteristics of the distribution network are fundamentally changed. The intermittence, variability, and uncertainty of wind and photovoltaic power generation make the adjustment of the network peak load and the smooth control of power become the key issues of the distribution network to accept various types of distributed power. This paper uses data-driven thinking to describe the uncertainty of scenery output, and introduces it into the power flow calculation of distribution network with multi-class DG, improving the processing ability of data, so as to better predict DG output. For the problem of network stability and operational control complexity caused by DG access, using KELM algorithm to simplify the complexity of the model and improve the speed and accuracy. By training and testing the KELM model, various DG configuration schemes that satisfy the minimum network loss and constraints are given, and the voltage stability evaluation index is introduced to evaluate the results. The general recommendation for DG configuration is obtained. That is, DG is more suitable for accessing the lower point of the network voltage or the end of the network. By configuring the appropriate capacity, it can reduce the network loss, improve the network voltage stability, and the quality of the power supply. Finally, the IEEE33&69-bus radial distribution system is used to simulate, and the results are compared with the existing particle swarm optimization (PSO), genetic algorithm (GA), and support vector machine (SVM). The feasibility and effectiveness of the proposed model and method are verified.

Fault Analysis of Distribution Network which Contains Distributed Generation

2013 ◽  
Vol 325-326 ◽  
pp. 624-627 ◽  
Author(s):  
Ming Jun Chen ◽  
Chen Zhu Xuan ◽  
Xin Kai Lian
Keyword(s):  
Power Generation ◽  
Thermoelectric Power ◽  
Power Flow ◽  
Fault Location ◽  
Short Circuit ◽  
Distribution Network ◽  
Wind Farms ◽  
Short Circuit Current ◽  
Fault Analysis ◽  
Photovoltaic Power

when the photovoltaic power generation and thermoelectric power factory connect into the distribution network , the system change from one source to several sources. it will change the construction of the system and the system power flow ,and also the size and direction of short-circuit current. It is harder to prepare the grid protection devices and set value for the protection. This paper studied the complex electronic systems which contains wind farms and thermoelectric power factory, analysis the change of voltage and current of each bus when the fault happen after the photovoltaic power generation connected into the system, and also talk about how the fault location affect the system fault component .Then conduct the expression of the fault current of each line to provide the basis for the study of multiterminal supply network protection strategy.

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