Modeling of Automatic Power Output Prediction for Wind Mechanical Generator

2012 ◽  
Vol 246-247 ◽  
pp. 644-647
Author(s):  
Lei Shi ◽  
Yi Zhuo ◽  
Lin Juan Kang

Due to the instability of the output in wind power, there exists some difficulties on wind power merger to electricity grid. The fast forecasting of output of wind power is in favor of reasonable allocation system and increase the possibility of power merger in a large scale. Based on the actual wind power data, this article utilizes the one order differential method to remove data unsteady and obtains the stable data. In view of the ARMA time series, a numerical prediction model of wind power output is established. The results show that the model has good precision and can be used in the production practice.

Energy ◽  
2017 ◽  
Vol 118 ◽  
pp. 1198-1209 ◽  
Author(s):  
Raul Miranda ◽  
Rafael Soria ◽  
Roberto Schaeffer ◽  
Alexandre Szklo ◽  
Luis Saporta

2019 ◽  
Vol 79 ◽  
pp. 03017
Author(s):  
Mingyu Dong ◽  
Dezhi Li ◽  
Fenkai Chen ◽  
Meiyan Wang ◽  
Rongjun Chen ◽  
...  

With the development of smart power distribution technology in the future, a large range of power supply load (such as distributed wind power generation) will appear on the power receiving end. When distributed wind power is connected to the power grid on a large scale, it will have a certain impact on the safe and stable operation of the power grid. However, if the wind power output characteristics can be analyzed and the wind power output is properly regulated, the one-way flow of power from the distribution network to the user side will be broken, so that the future "network-load" has dual interaction characteristics based on response and substantial power exchange.


2014 ◽  
Vol 672-674 ◽  
pp. 355-360
Author(s):  
Hui Ren ◽  
Jia Qi Fan ◽  
David Watts ◽  
Dan Wei

With large-scale wind power integrates into power system, the risk brought by the uncertainty of wind power output can no longer be neglected. Under this circumstance, the operation risk due to the uncertainty of wind generation and the contribution of wind power to energy conservation and emission reduction are quantified, and the corresponding quantified operational cost, environmental cost and operation risk are being integrated into the economic dispatching model to establish a multi-objective optimization dispatch model. Non-dual interior point method is used to solve the optimization problem. The method is applied to Hebei Southern power grid, simulated with actual wind power output data of one typical day. Simulation results show the rationality and effectiveness of the proposed method.


2014 ◽  
Vol 1070-1072 ◽  
pp. 279-283
Author(s):  
Wei Zheng ◽  
Run Dong Ge ◽  
Wen Ying Liu ◽  
Dan Dan Zhu ◽  
Hui Yong Li

Power system vulnerability is one new concept for power security as the extend of security in recent years. At present, the power system vulnerability research has obtained stage accomplishment. Meanwhile, the randomness and intermittence of the wind lead to the wind power output unsteady. It not only has a bad influence on the power system, but also makes wind farm vulnerability even more obvious. Based on this, vulnerability assessment is applied to large-scale wind farm in this paper. Vulnerability indexes of the bus in large-scale wind farm are put forward and prevention measures are also given and it will has reference meaning to the security enhance of both grid and wind farm.


2012 ◽  
Vol 608-609 ◽  
pp. 547-552
Author(s):  
Chun Jie Gao ◽  
Peng Wang

After large-scale wind power integrate into the system, there is a great impact for the system dispatching operation and the unit maintenance and repair of the wind power , so it's extremely necessary to forecast wind power output and assess its level of forecasting. This paper mainly focusing on the containing wind power system, studies the wind power output fluctuation in the demand for system reserve, and analyse the rationality of the wind power forecasting assessment standard in North China area wind power integration operation management implementing regulations by combining with the status of wind power in North China area, that is, whether the assessment mechanism can promote wind farms raising the forecasting level.


2016 ◽  
Vol 27 (3) ◽  
pp. 246-258 ◽  
Author(s):  
Anestis Anastasiadis ◽  
Georgios Kondylis ◽  
Georgios A Vokas ◽  
Panagiotis Papageorgas

Purpose – The purpose of this paper is to examine the feasibility of an ideal power network that combines many different renewable energy technologies such as wind power, concentrated solar power (CSP) and hydroelectric power. This paper emphasizes in finding the benefits arising from hydrothermal coordination compared to the non-regulated integration of the hydroelectric units, as well as the benefits from the integration of wind power and CSP. Design/methodology/approach – Artificial Neural Networks were used to estimate wind power output. As for the CSP system, a three-tier architecture which includes a solar field, a transmission-storage system and a production unit was used. Each one of those separate sections is analyzed and the process is modeled. As for the hydroelectric plant, the knowledge of the water’s flow rated has helped estimating the power output, taking into account the technical restrictions and losses during transmission. Also, the economic dispatch problem was solved by using artificial intelligence methods. Findings – Hydrothermal coordination leads to greater thermal participation reduction and cost reduction than a non-regulated integration of the hydrothermal unit. The latter is independent from the degree of integration of the other renewable sources (wind power, CSP). Originality/value – Hydrothermal coordination in a power system which includes thermal units and CSP for cost and emissions reduction.


2012 ◽  
Vol 214 ◽  
pp. 417-422
Author(s):  
Dong Feng Yang ◽  
Su Quan Zhou

In the condition of large scale wind power connection, the uncertain of the wind power output takes great challenge to the peak regulation. In this paper for some wind power connection system, the influence of wind power connection to the peak regulation was studied by analyzing the system load and the historical real data after the wind power connection. The computation model which evaluates the normal units’ anti- peak adjusting capability was built and the multiply integer program algorithm was used to solve this model. A real case was used to test the exactness and feasibility of the computation model.


2020 ◽  
Vol 5 (4) ◽  
pp. 1663-1678
Author(s):  
Ida Marie Solbrekke ◽  
Nils Gunnar Kvamstø ◽  
Asgeir Sorteberg

Abstract. This study uses a unique set of hourly wind speed data observed over a period of 16 years to quantify the potential of collective offshore wind power production. We address the well-known intermittency problem of wind power for five locations along the Norwegian continental shelf. Mitigation of wind power intermittency is investigated using a hypothetical electricity grid. The degree of mitigation is examined by connecting different configurations of the sites. Along with the wind power smoothing effect, we explore the risk probability of the occurrence and duration of wind power shutdown due to too low or high winds. Typical large-scale atmospheric situations resulting in long term shutdown periods are identified. We find that both the wind power variability and the risk of not producing any wind power decrease significantly with an increasing array of connected sites. The risk of no wind power production for a given hour is reduced from the interval 8.0 %–11.2 % for a single site to under 4 % for two sites. Increasing the array size further reduces the risk, but to a lesser extent. The average atmospheric weather pattern resulting in wind speed that is too low (too high) to produce wind power is associated with a high-pressure (low-pressure) system near the production sites.


2016 ◽  
Vol 826 ◽  
pp. 55-60 ◽  
Author(s):  
Jing Li ◽  
Ning Bo Wang ◽  
Ying Wei ◽  
Qun Gu

The average wind power in China increases year by year, obviously wind power output volatility and uncertainty that makes the large-scale wind power grid to bring a lot of problem, such as peaking and frequency modulation, voltage regulator, stability, power quality problems, etc. The power structure in China is given priority with coal-fired thermal power, peaking power is relatively scarce. Lack of wind power on a large scale grid has intensified. The paper briefly analyzes the power grid network frame structure, load and power characteristics in Gansu province. Considering the measured data in 2014 of Gansu power network, intuitive shows Gansu power grid fluctuation characteristics of wind power output in different period of time, discussed the influence of wind power grid peak shaving capability. It improving the large-scale wind power access after the measures of Gansu power grid peak shaving capability.


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