Obtaining method of available transmission capacity of wind power system with dfig based on optimal power flow
A technology of optimal power flow and transmission capacity, which is applied in the field of obtaining available transmission capacity, and can solve problems such as the influence of power systems with uncertain characteristics
Active Publication Date: 2016-03-30
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology
However, renewable energy is increasingly injected into the power system, and its uncertain characteristics also have a great impact on the power system
Method used
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Embodiment Construction
[0029] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but should not be used to limit the scope of the present invention.
[0030] The system wiring diagram used in this embodiment is as follows figure 1 As shown in the figure, the busbar is connected to the transmission network. If there are multiple wind turbines, the busbars of each wind turbine are connected to the same transmission network node; the algorithm flow chart is shown in figure 2 shown.
[0031] 1) Establish a random wind speed simulation model, and obtain the active and reactive output of the wind farm according to the wind speed model
[0032] First, the mechanical power P output by DFIG m The relationship with the wind speed U is
[0033] P m =k 0 u 3
[0034] In the formula
[0035] k 0 = ...
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The invention provides a method for calculating available transfer capability of a wind power system with a Dfig based on optimal power flow. The method takes the situation that power grid power flow and the available transfer capability of the call wire of the power grid power flow are affected by a wind generation set under the condition of wind power integration into account. Weibull distribution is utilized to generate random wind speed to obtain the active power and reactive power output of a wind power plant. Then an interior Point Algorithm is adopted to calculate the optimal power flow, and the optimal power flow can process various different power network structures and constraint conditions conveniently. Finally, the variable transfer capability is calculated based on the optical power flow, the voltage and the phase angle of a node where the wind power plant is located are obtained based on the optical power flow, and modeling is carried out on the Dfigf to calculate the steady-state operation parameters of the . The available transfer capability calculated and obtained through the method can be used for analyzing the nondeterminacy of the output of the wind generation set. Based on the optical power flow, the method can be used for processing various power network models with different constraint conditions conveniently, and therefore true and reliable bases are provided for a decision maker in power system planning and operating.
Description
technical field [0001] The present invention relates to the field of power system analysis and planning, and in particular to a method for obtaining the available transmission capacity of a wind power system based on optimal power flow and including Doubly Fed Induction Generator (DFIG for short). Background technique [0002] Available transmission capacity (Available Transfer Capability, referred to as ATC) refers to the remaining transmission capacity in the actual physical transmission network that can be used for commercial use on the basis of the existing transmission contract. The power transmission capacity of the power system has a great influence on the safety and reliability of the whole system. With the deepening of power market reform, the operation mode of the power system will largely depend on the transaction behavior of the power market, and this transaction behavior is changing rapidly. This will also increase the uncertainty of power system operation, tha...
Claims
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IPC IPC(8): H02J3/38G06Q10/04G06Q50/06
CPCY02A30/60Y02E10/76Y02E40/70Y04S10/50
Inventor 马瑞
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY