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.

A Review of Distribution Network Planning with Large-Scale Intermittent Renewable Energy Access to Distribution Network

2014 ◽  
Vol 1008-1009 ◽  
pp. 723-728 ◽  
Author(s):  
Xu Dong Song ◽  
Nan Hua Yu ◽  
Jun Jun Liang ◽  
Cheng Jun Xia
Keyword(s):  
Renewable Energy ◽  
Large Scale ◽  
Rapid Development ◽  
Distribution Network ◽  
Research Direction ◽  
Absorption Capacity ◽  
Energy Access ◽  
Multiple Sources ◽  
Unique Source ◽  
The Cost

With the rapid development of DG, especially the access of large-scale renewable energy, traditional simple distribution network with unique source turns into ADN with multiple sources, making the distribution network more complicated. In this paper, The power source and grid planning of traditional and intelligent distribution network are discussed, based on which the problems ADN faces and the research difficulty are focused on. The key technology of ADN planning is analyzed, including the uncertainty of load forecasting, the ADN absorption capacity for DG and the cost-effectiveness of ADN planning. Some suggestions for the research direction of ADN in the future are made at the end, providing reference for the ADN planning with large-scale renewable energy access.

scholarly journals Probabilistic Approaches to the Security Analysis of Smart Grid with High Wind Penetration: The Case of Jeju Island’s Power Grids

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5785
Author(s):  
Sunoh Kim ◽  
Jin Hur
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power System ◽  
Wind Power ◽  
Power Flow ◽  
Large Scale ◽  
Modeling Method ◽  
Wind Power Generation ◽  
Power Grids ◽  
Power Flow Calculation

As the importance of renewable generating resources has grown around the world, South Korea is also trying to expand the proportion of renewable generating resources in the power generation sector. Among the various renewable energy sources, wind generating resources are emerging as a key alternative to conventional power generations in the electricity sector in Korea accounted for 17.7 GW of total capacity by 2030. As wind generating resources are gradually replacing traditional generating resources, the system security and reliability are negatively affected because of the variability, due to intermittent outputs. Therefore, existing power grids will need to be correctly re-measured to cover the large scale of renewable energy, including wind generation. To expand the grid, we must understand the characteristics of renewable energy and the impact of its adoption in the grid. In this paper, we analyze various characteristics of wind power generation, and then we propose a probabilistic power output modeling method to consider the uncertainty of wind power generation. For the probabilistic approach, Monte-Carlo simulation is used in the modeling method. The modeled wind power outputs can help planning for the reinforcement and expansion of power systems to expand the capacity for large-scale renewable energy in the future. To verify the proposed method, some case studies were performed using empirical data, and probabilistic power flow calculation was performed by integrating large-scale wind power generation to the Jeju Island power system. The probabilistic method proposed in this paper can efficiently plan power system expansion and play a key strategy of evaluating the security of the power system through the results of stochastic power flow calculation.

scholarly journals Static Stability Analysis Based on Probabilistic Power Flow Calculation considering P2G Technology

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jia Yao ◽  
Yujia Huang ◽  
Jingwei Hu
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Stability Analysis ◽  
Probability Distribution ◽  
Wind Power ◽  
Power Flow ◽  
Static Stability ◽  
Wind Power Generation ◽  
Photovoltaic Power ◽  
Probabilistic Power Flow

At present, integrated energy systems have received extensive attention, but there is no basic framework for stability analysis of coupled systems. The injection of a large amount of renewable energy also has a great impact on the stability of the system. This paper focuses on how to analyze the static stability of the coupling system with uncertainty, which mainly considers the uncertainty of wind power generation and photovoltaic power generation and also considers the influence of P2G technology on the whole system. Firstly, this paper analyzes the principles of wind power generation and photovoltaic power generation and constructs the probability model of renewable energy power generation power. Then, the three-point estimation method is used to process the data, and the probability distribution of the unknown quantity is obtained by probabilistic power flow analysis. Finally, the probability distribution of each eigenvalue is obtained by analyzing the sensitivity of the characteristic roots to the voltage. Thus, the static stability of the system is judged. The applicability of proposed methodology is demonstrated by analyzing an integrated IEEE 14-bus power system and a Belgian 20-node gas system in this paper.

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.

scholarly journals The Power Purchase Optimization Model in China considering the Renewable Energy Risks under Different Risk Preferences

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Yongxiu He ◽  
Dacheng Li ◽  
Tian Xia ◽  
Dong Song ◽  
Bo Zhou
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Emission Reduction ◽  
Large Scale ◽  
Risk Preferences ◽  
Purchase Decisions ◽  
Photovoltaic Power ◽  
Purchasing Model ◽  
New Situation

To achieve the strategic target of energy conservation and emission reduction, China is vigorously developing its large-scale and distributed renewable energy power generation industry, dominated by wind power and photovoltaic power generation. In the new situation of renewable energy power interconnection, the grid company in China must fully consider the risks caused by renewable energy when making power purchase optimization decisions. This paper sets up a power purchasing model considering the risks of the renewable energy power interconnection and testifies to the effectiveness of the model through a case study. On this basis, this paper puts forward several reasonable suggestions to help the grid company make power purchase decisions under different risk preferences.

Sign in / Sign up

Export Citation Format

Share Document