Electric power system control method taking wind power and load uncertainty into account
A power system, uncertainty technology, applied in wind power generation, computing, electrical components, etc., can solve problems such as the inability to describe the random characteristics of loads
Active Publication Date: 2014-12-24
CHONGQING UNIV
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[0004] Aiming at the deficiencies of the prior art, the object of the present invention is to provide a power system control method that takes into account the uncertainty of wind power and load. The method takes into account the influence of the uncertainty of load and wind power, and establishes The unit combination model influenced by wind power uncertainty overcomes the inadequacy that the deterministic load model cannot describe the random characteristics of load
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[0057] The specific implementation manner and working principle of the present invention will be further described in detail below.
[0058] The power system selected in this embodiment includes 10 wind turbines. The parameters of each unit are shown in Table 1(a) and Table 1(b). The positive number in the initial start-stop state in the table indicates the time that the unit has been running continuously , the negative number indicates the time that the unit has been out of operation continuously.
[0059] Then adopt the following technical solutions to control the wind turbines in the power system, the specific steps are:
[0060] Step 1: Input the load data of each time period of the power system in 24 hours and the corresponding forecast data of each wind turbine power, as shown in Table 2, according to the data in the table, establish the uncertainty of the power system load and wind turbine power in the period t The sexual model is as follows:
[0061] Load probability...
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The invention discloses an electric power system control method taking wind power and load uncertainty into account. The method includes the steps that load and wind-power power uncertainty is described in scenes, weighted sums of expected values of generating cost in all the scenes and variances form an objective function, a unit optimized dispatching model comprehensively considering load and wind-power power uncertainty influences is established, an optimal start and stop scheme of a unit combination is solved through an improved particle swarm optimization algorithm, and then wind turbines in an electric power system are controlled. The method has the remarkable advantages that the load and wind-power power uncertainty influences are taken into account, the unit combination model taking the load and wind-power power uncertainty influences into account is established, and the defect that a certainty load model cannot describe load random characteristics is overcome; the optimal start and stop scheme is acquired through the particle swarm optimization algorithm so as to control the electric power system, and the electric power system can effectively take the load and wind-power power uncertainty influences into account.
Description
technical field [0001] The invention relates to the technical field of power system unit combination, in particular, it relates to a power system control method considering wind power and load uncertainty. Background technique [0002] The unit combination problem of the power system refers to determining the units that are put into operation at each time period in a certain dispatching cycle under the constraint conditions of satisfying the system load balance, backup requirements, and unit output limits, and reasonably allocating the output of each operating unit to achieve the overall goal of the system. The goal with the least running cost. In recent years, with the rapid development of new energy technologies, a large number of new energy sources, especially wind power, have been integrated into the grid. Compared with traditional power generation methods, wind power has the advantages of no pollution. As an inexhaustible renewable energy source, it is gradually favore...
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IPC IPC(8): H02J3/00H02J3/38G06F19/00
CPCY02E10/76
Inventor 胡博谢开贵邓勇余娟任洲洋贺小辉董吉哲
Owner CHONGQING UNIV