A Optimal Scheduling Method Based on Source and Load Interactive for Power System with Large-Scale Wind Power Integrated

2014 ◽  
Vol 953-954 ◽  
pp. 389-394 ◽  
Author(s):  
Jing Wen ◽  
Wen Ying Liu ◽  
Chang Xie

The random fluctuation and anti-peaking characteristics of wind power has brought new problems for the power system optimal dispatch. Based on the interaction characteristic of the load, this paper played the utility of interactive load which can help system consumers the positive and negative fluctuations of wind power, and considered interactive load as a scheduling resource into the traditional day-ahead scheduling model. Taking into account the effects of interactive load on system operating costs and power flow distribution, this paper established a generation scheduling model which the aim are both the system operating costs and network loss minimization in large-capacity wind power integrated system, and reformulated the multi-objective optimization problem into a single objective nonlinear programming problem by means of the fuzzy theory, and made the generation side and the demand side of the power grid can participate optimal allocation of resources, and provided a new ideas and methods for achieving source and load interactive in smart grid environment. The simulation on IEEE 30-bus system indicated this method can reduce system operating costs and network losses effectively, and improve wind power consumptive level as well as too.

2014 ◽  
Vol 672-674 ◽  
pp. 367-371
Author(s):  
Xi Wei Jiang ◽  
Wen Ying Liu ◽  
Jing Jing Zheng ◽  
Pei Dong Du ◽  
Jian Bo Wang

An important factor affecting the integration of large-scale wind power is whether there is sufficient peaking capacity. If the peaking capacity is insufficient, we cannot make full use of wind power. Therefore it’s of great significance to study the peaking gap of the power system. This paper defined the peak-load regulating demand continuous curve and proposed the calculation method of the peaking gap based on non-sequential Monte Carlo simulation method. Taking wind power’s random fluctuation and the unit forced outage rate into consideration, the calculation method effectively reflect the peaking capacity needs of the system, which is helpful for determining the appropriate wind power integration.


2005 ◽  
Vol 3 (4) ◽  
pp. 342 ◽  
Author(s):  
J. Charles Smith ◽  
Edgar A. DeMeo ◽  
Brian Parsons ◽  
Michael Milligan

2014 ◽  
Vol 986-987 ◽  
pp. 622-629
Author(s):  
Tian Long Shao ◽  
Jian Zhang ◽  
Xu Nan Zhao

As a kind of renewable clean energy, the constant access of wind power to power grids is bound to have a great impact on the power system. Based on the grid structure in Fuxin, this paper will state the difficulty of peak regulation and the matter of wasting wind power caused by the large-scale wind power integration and put forward some reasonable methods for using the wasting wind power in the heating in winter. The relevant results indicate that capacity of local consumption of wasting wind power can be improved. Under the circumstances, it can be conductive to solve the problem of wasting wind power results from the difficulty of peak regulation as well as inspire the power system planners.


2013 ◽  
Vol 380-384 ◽  
pp. 2972-2976
Author(s):  
Xiang Yu Lv ◽  
Tian Dong ◽  
Ye Yuan ◽  
De Xin Li ◽  
Xiao Juan Han

Large scale wind power integration has influenced the safety of power system. Taking wind power integration in Jilin as example, the paper describes the influencing factors of large scale wind power integration on reactive power of the grid in detail firstly, then analyze the reactive voltage in four typical ways, and discuss the impact of the wind power fluctuations on the grid reactive voltage.


2017 ◽  
Vol 32 (3) ◽  
pp. 1108-1116 ◽  
Author(s):  
Pouyan Pourbeik ◽  
Juan J. Sanchez-Gasca ◽  
Jayapalan Senthil ◽  
James D. Weber ◽  
Pouya Sajjad Zadehkhost ◽  
...  

2021 ◽  
Author(s):  
Xinyu Wang ◽  
Jingyuan Liu ◽  
Pengwei Yang ◽  
Zheng Ren ◽  
Bowen Zheng ◽  
...  

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