A structure optimization method of transmission network in low-load operation day considering wind power access
An optimization method and low-load technology, applied in wind power generation, electrical components, circuit devices, etc., can solve problems such as difficult to realize coordinated optimization control of disconnected lines and reactive power output of generator sets, system reliability impact, etc.
Active Publication Date: 2020-08-07
TSINGHUA UNIV +1
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Problems solved by technology
The method of disconnecting the transmission line based on operating experience is difficult to realize the coordinated and optimal control of the reactive power output of the disconnecting line and the generator set, and may also affect the reliability of the system
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[0099] The present invention proposes a method for optimizing the structure of the transmission network during low-load operation in consideration of wind power access. The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0100] The present invention proposes a method for optimizing the structure of the transmission network during low-load operation in consideration of wind power access. This method utilizes the disconnection of the transmission line to effectively alleviate the effect of the node voltage of the power system being too high and exceeding the limit. On the basis of the characteristics, linearize the flow equations of active power and reactive power of the AC power flow model; consider the prediction deviation of wind power output, so that the traditional unit (this paper divides the generator group into traditional units and wind turbines, respectively corresponding to the subscri...
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The invention provides a method for optimizing the structure of a low-load daily transmission network considering wind power connection, which belongs to the technical field of safe operation of a power system. Firstly, on the basis of low-load operation characteristics of the system, the active power and reactive power flow equations of the AC power flow model are linearized. Forecast deviation of wind power output is considered, the traditional wind turbine sets reserve the forecast deviation of wind power, and the reactive power output of double-fed fan is considered to participate in voltage regulation. Based on the linearized power flow model, a combined optimization model of transmission network structure and unit assembly is established for low-load operation days. Verification of island generation and AC feasibility of the optimization results is carried out until the optimization results are safe and feasible. The invention optimizes the structure of the transmission network and the unit combination to be used for voltage overrun control on low-load operation days, considers the uncertainty of wind power access and the participation of wind power in voltage regulation, andensures the operation safety of the system.
Description
technical field [0001] The invention relates to the technical field of safe operation of electric power systems, in particular to a method for optimizing the structure of a transmission network during low-load operation in consideration of wind power access. Background technique [0002] With the continuous construction and development of the power grid, the internal connection of the power system is continuously strengthened, and ultra-high voltage is more widely used. While improving the reliability of the system operation, it makes it more and more difficult to control the node voltage amplitude. Especially during the low load (the present invention selects the system load as the low load period when the system load is lower than 50% of the system's annual peak load), a large number of generators shut down and cause insufficient reactive power reserve of the system, and the pair of closely connected transmission lines The large reactive charging power brought by the groun...
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IPC IPC(8): H02J3/00H02J3/38H02J3/46H02J3/12H02J3/16
CPCY02E10/76Y02E40/30
Inventor 赵博石胡泽春周前张宁宇
Owner TSINGHUA UNIV