The Study on Acceptable Capacity of Wind Power for Gansu Power Grid Based on Power Balance

2012 ◽  
Vol 236-237 ◽  
pp. 720-724
Author(s):  
Xi Min Cao ◽  
Xiang Dong Xu ◽  
Fu Jun Wang ◽  
Tian Qi Liu ◽  
Zhen Huan Chen ◽  
...  

Randomness and volatility of wind power, the accepted capacity of wind power (ACWP) will become the wind power planning early first thing to consider with the increasement of the scale of wind power in grid. In this paper, we studied the correlation between wind power output and the change of daily load. The ACWP were analysis based on the power load characteristics, peak-valley difference of the Gansu Power Grid and power balance. The maximum installed capacity of wind power integrated of the five typical operating mode in 2011 is given. It is pointed out that ACWP is less than the planned capacity. At last, the specific measures to increase the ACWP are proposed.

2019 ◽  
Vol 11 (17) ◽  
pp. 4801 ◽  
Author(s):  
Qi Liu ◽  
Jie Zhao ◽  
Youguo Shao ◽  
Libin Wen ◽  
Jianxu Wu ◽  
...  

The matching characteristics of wind power output and nuclear power peak shaving are studied and the influence of coordinated dispatching of wind power and nuclear power on peak shaving flexibility and cost of the power grid is analyzed. Taking the lowest total operation cost of the system as the objective and considering the operation constraints, peak shaving cost of nuclear power units and the abandoned wind cost, a multi-power dispatching model for power system is proposed. In addition, in order to accurately optimize the output of nuclear power, a method of subdividing the peak shaving depth of nuclear power to linearize the constraint of nuclear power peak shaving is proposed. The analysis of example shows that the multi-power dispatching model considering the coordinated operation of wind and nuclear power has a high operation economy and can significantly reduce the amount of wind abandonment. The daily load tracking mode can be used for the participation of nuclear power units in daily peak shaving and the feasibility and necessity of coordinated wind-nuclear dispatching are verified.


2013 ◽  
Vol 694-697 ◽  
pp. 846-849
Author(s):  
Jian Yuan Xu ◽  
Wei Fu Qi ◽  
Yun Teng

This paper mainly studies wind power fluctuations how to affect voltage stability after the wind power grid integration, and reactive power compensation equipment on improving effect. In certain parts of the wind farm, for example, firstly, analyzing the wind farm reactive power problems. Then introduce the reactive power compensation equipment that used in the wind farm. Finally, with PSCAD software, making a simulation analysis about the influence on the power grid voltage according to adopting the different reactive power compensation devices or not.


2014 ◽  
Vol 986-987 ◽  
pp. 243-246
Author(s):  
Liang Han ◽  
Yong Gang Li

Among all the factors influencing the capacity of wind power, peak regulation capability is commonly regarded as one of the most important constraint factors. From the perspective of peak regulation, the maximum peak-load regulating adequacy revised by the wind power characteristic coefficient is the limitation of the capacity of wind power. This paper proposes an assessment system on capacity of wind power integration into grid based on power balance. First of all, this assessment system takes the impact of wind power integration on the reserve capacity of the power system into consideration. Then calculate the reserve capacity based on power generation reliability index. Finally, evaluate the capacity of wind power based on the peak regulation capability of the units during the low load period. This paper analyses the capacity of wind power integration into Liaoning power grid based on power supply characteristics, load characteristics and peak-valley difference, and points out that the phenomenon of the “wind curtailment” is unavoidable. According to the specific situation of wind power limitation, this paper proposes measures to maximize the capacity of wind power.


Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2668 ◽  
Author(s):  
Rongheng Lin ◽  
Zezhou Ye ◽  
Yingying Zhao

Customers’ electricity consumption behavior can be studied from daily load data. Studying the daily load data for user behavior pattern analysis is an emerging research area in smart grid. Traditionally, the daily load data can be clustered into different clusters, to reveal the different categories of consumption. However, as user’s electricity consumption behavior changes over time, classical clustering algorithms are not suitable for tracing the changes, as they rebuild the clusters when clustering at any timestamp but never consider the relationship with the clusters in the previous state. To understand the changes of consumption behavior, we proposed an optimized evolutionary clustering (OPEC) algorithm, which optimized the existing evolutionary clustering algorithm by joining the Proper Restart (PR) Framework. OPEC relied on the basic fact that user’s energy consumption behavior would not abruptly change significantly, so the clusters would change progressively and remain similar in adjacent periods, except for an emergency. The newly added PR framework can deal with a situation where data changes dramatically in a short period of time, and where the former frameworks of evolutionary clustering do not work well. We evaluated the OPEC based on daily load data from Shanghai, China and the power load diagram data from UCI machine learning repository. We also carefully discussed the adjustment of the parameter in the optimized algorithm and gave an optimal value for reference. OPEC can be implemented to adapt to this situation and improve clustering quality. By understanding the changes of the users’ power consumption modes, we can detect abnormal power consumption behaviors, and also analyze the changing trend to improve the operations of the power system. This is significant for the regulation of peak load in the power grid. In addition, it can bring certain economic benefits to the operation of the power grid.


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.


2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Xiyun Yang ◽  
Le Zhang ◽  
Tianze Ye ◽  
Yuwei Yang ◽  
Yiwei Wang ◽  
...  

In-situ exploitation of oil shale by electric heating consumes large amounts of electricity. Under the existing dispatch system, using wind power output and photovoltaic power output to support the exploitation of oil shale can promote renewable energy use, reduce the consumption of coal and other fossil fuels, and protect the environment from pollution. In this study, the characteristics of the wind power and photovoltaic power output are analyzed, and the correlation between the power outputs is evaluated using the copula function. The load of exploiting oil shale is presented. In order to match the heating load characteristics of oil shale exploitation, a particle swarm optimization algorithm is used to optimize the heating temperature of the heated well to minimize the cost. An economic analysis is conducted of five different power supply combinations, including wind power, photovoltaic power, and the existing power grid. The income ratio of the five modes is calculated using actual data of a project in Jilin province in China, and the feasibility of in-situ electric heating by wind power, photovoltaic power, and the power grid is determined. The results of this study provide useful references for decision makers to plan the power supply scheme for in-situ oil shale exploitation.


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