Acquiring method for dynamic random optimal power flow of power system for wind-containing power field

A dynamic random and optimal power flow technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as ignoring the randomness of input variables

Inactive Publication Date: 2015-05-20
HOHAI UNIV
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Problems solved by technology

However, the traditional DOPF model ignores the randomness of input variables. Under the situation that new energy is continuously connected to the grid, it is urgent to establish a DOPF model that takes into account the randomness of input variables and consider its solution method.

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  • Acquiring method for dynamic random optimal power flow of power system for wind-containing power field
  • Acquiring method for dynamic random optimal power flow of power system for wind-containing power field
  • Acquiring method for dynamic random optimal power flow of power system for wind-containing power field

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[0093] The implementation of the present invention will be further described below in conjunction with the accompanying drawings and examples, but the implementation and inclusion of the present invention are not limited thereto.

[0094] Such as figure 1 As shown, the IEEE14 node system is taken as an example to calculate the DSOPF by using the method provided by the present invention. Such as figure 2 As shown, the IEEE14 node system has 5 conventional generator sets, 11 load nodes, 17 line branches and 3 transformer branches, and nodes 10, 11, 13 and 14 are respectively connected to wind farms with a rated power of 50MW. Divide the scheduling cycle into 24 periods, each period lasts 1h. 10% of the upper limit of the active power output of the generator represents the maximum climbing power allowed in the adjacent period. The upper and lower bounds of the generator node voltage are set to 1.10 and 0.90, and the upper and lower bounds of the other node voltages are set to ...

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Abstract

The invention discloses an acquiring method for a dynamic random optimal power flow of a power system for a wind-containing power field. According to the acquiring method, the dynamic random optimal power flow of the power system under the influence of the randomness of wind speed and load as well as temporal and spatial correlation is realized. The acquiring method comprises the following steps: firstly, establishing a dynamic probability model of wind speed, and analyzing the temporal and spatial correlation of the wind speed; secondly, calculating by adopting a deterministic dynamic optimal power flow based on an original dual and decoupling interior point method to obtain an optimal dispatching scheme; secondly, under the guidance of the dispatching scheme, solving the dynamic random optimal power flow considering the correlation based on a cumulants method to obtain probability distribution of a state variable, and adjusting the upper and lower bound of chance constraint according to the probability distribution; finally, performing iterative computation to solve a group of optimal dispatching schemes meeting all the chance constraints. According to the acquiring method disclosed by the invention, the optimal power flow of the power system under the random influence of an input variable can be effectively processed. The acquiring method has the advantages of accurate result and convenience for realization. The obtained result has certain guiding significance for dispatching persons.

Description

technical field [0001] The invention belongs to the technical field of power system operation analysis and control, and in particular relates to a method for obtaining a dynamic random optimal power flow of a power system including a wind farm. Background technique [0002] Optimal power flow (OPF) is an important tool for power system planning and operation. OPF models that consider the randomness of input variables are mainly divided into two categories: probabilistic optimal power flow (POPF) models and stochastic optimal power flow (POPF) models. Stochastic optimal power flow (SOPF) model. The former is to obtain the probability distribution information of several state variables and control variables according to the probability distribution of known random variables, which belongs to the problem of stochastic analysis; while the latter is to establish an optimization model that satisfies several chance constraints. Influenced by various factors, a set of optimal solut...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 孙国强李逸驰卫志农孙永辉陈胜楚云飞高楷李春
Owner HOHAI UNIV
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