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.

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.

scholarly journals Investigation of Structural Voltage Stability in Tunisian Distribution Networks Integrating Large-Scale Solar Photovoltaic Power Plant

2020 ◽  
Vol 30 (13) ◽  
pp. 2050259
Author(s):  
Abdelaziz Salah Saidi
Keyword(s):  
Power Plant ◽  
Large Scale ◽  
Voltage Stability ◽  
Distribution Network ◽  
Differential Algebraic Equations ◽  
Load Flow ◽  
Transmission Network ◽  
Solar Photovoltaic ◽  
Dynamic Component ◽  
Photovoltaic Power

This research shows a structural voltage stability analysis of a distribution network incorporating large-scale solar photovoltaic power plant. Detailed modeling of the transmission network and photovoltaic systems is presented and a differential-algebraic equations model is developed. The resulting system state and load-flow Jacobian matrix are reorganized according to the type of the bus system in place of the standard injected complex power equations arrangement. The interactions among system buses for loading tests and solar photovoltaic power penetration are structurally scrutinized. Two-bus bifurcations are revealed to be a predecessor to system voltage collapse. The investigation is carried out by using bifurcation diagrams of photovoltaic generation margin, load-flow analysis, short-circuits, photovoltaic farm disconnections and loading conditions. Furthermore, evaluation of voltage stability reveals that the dynamic component of the voltage strongly depends on fault short-circuit capacity of the power system at the bus, where, the solar system is integrated. The overall result, which encompasses the views from the presented transmission network integration studies, is a positive outcome for future grid integration of solar photovoltaic in the Tunisian system. Tunisia’s utilities policies on integration of solar photovoltaic in distribution network is expected to benefit from the results of the presented study. Moreover, given the huge potential and need for solar photovoltaic penetration into the transmission network, the presented comprehensive analysis will be a valuable guide for evaluating and improving the performances of national transmission networks of other countries too.

Accommodation Capacity Analysis of the Large Scale PV Power Generation Access to Regional Power Grid

2013 ◽  
Vol 772 ◽  
pp. 630-633
Author(s):  
Tao Shi ◽  
Hua Ling Han
Keyword(s):  
Power Generation ◽  
Power Plants ◽  
Large Scale ◽  
Peak Load ◽  
Load Level ◽  
Analysis Method ◽  
Regional Power ◽  
Photovoltaic Power ◽  
Grid Planning ◽  
Pv Power Generation

In this paper, the factors are analyzed,which affect the accommodation capacity of large scale PV power generation access to the grid . The analysis method mainly consider the peak load adjustment ability of the whole power system. Then a real case based on provincial grid is calculated and analyzed. The results show that: As an important technical style ,the generation and acommodation of the large scale photovoltaic power generation are influenced by the light resource, load level, adjustment ability, transmission channel. The planning of large-scale photovoltaic power plants must keep pace with the conventional power and grid planning.

Low-current Charge Properties of Large-scale Nickel Metal Hydride Batteries and Application to Photovoltaic Power Generation

2019 ◽  
Vol 16 (34) ◽  
pp. 71-78
Author(s):  
Akira Yamashita ◽  
Riichi Kitano ◽  
Akihiro Miyasaka ◽  
Takahisa Shodai
Keyword(s):  
Power Generation ◽  
Metal Hydride ◽  
Large Scale ◽  
Nickel Metal ◽  
Nickel Metal Hydride ◽  
Photovoltaic Power

Fast Service Restoration of Multi-Source Active Distribution Network with Microgrids and Electric Vehicles

2014 ◽  
Vol 672-674 ◽  
pp. 1175-1178
Author(s):  
Guang Min Fan ◽  
Ling Xu Guo ◽  
Wei Liang ◽  
Hong Tao Qie
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Distribution Network ◽  
Active Distribution Network ◽  
Optimal Power ◽  
Service Restoration ◽  
Restoration Method

The increasingly serious energy crisis and environmental pollution problems promote the large-scale application of microgrids (MGs) and electric vehicles (EVs). As the main carrier of MGs and EVs, distribution network is gradually presenting multi-source and active characteristics. A fast service restoration method of multi-source active distribution network with MGs and EVs is proposed in this paper for service restoration of distribution network, which takes effectiveness, rapidity, economy and reliability into consideration. Then, different optimal power flow (OPF) models for the service restoration strategy are constructed separately to minimize the network loss after service restoration. In addition, a genetic algorithm was introduced to solve the OPF model. The analysis of the service restoration strategy is carried out on an IEEE distribution system with three-feeder and eighteen nodes containing MGs and EVs, and the feasibility and effectiveness are verified

Swarm-Intelligence-Based Optimal Placement and Sizing of Distributed Generation in Distribution Network

2018 ◽  
pp. 29-48 ◽  
Author(s):  
Mahesh Kumar ◽  
Perumal Nallagownden ◽  
Irraivan Elamvazuthi ◽  
Pandian Vasant ◽  
Luqman Hakim Rahman
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Distribution Network ◽  
Stability Index ◽  
Pso Algorithm ◽  
Distribution Networks ◽  
Optimal Placement

In the distribution system, distributed generation (DG) are getting more important because of the electricity demands, fossil fuel depletion and environment concerns. The placement and sizing of DGs have greatly impact on the voltage stability and losses in the distribution network. In this chapter, a particle swarm optimization (PSO) algorithm has been proposed for optimal placement and sizing of DG to improve voltage stability index in the radial distribution system. The two i.e. active power and combination of active and reactive power types of DGs are proposed to realize the effect of DG integration. A specific analysis has been applied on IEEE 33 bus system radial distribution networks using MATLAB 2015a software.

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