Power system partition optimization algorithm considering recovery time
A technology for power system and zoning optimization, applied in the power grid field, can solve problems such as low black start efficiency and inconsistent size of subsystems, and achieve the effect of improving recovery efficiency and shortening the gap.
Active Publication Date: 2019-10-15
NANJING UNIV OF SCI & TECH
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However, the above methods are based on graph theory and power grid network topology for partitioning, and do not consider the impact of many factors on the partition results in the subsequent restoration process, often resulting in inconsistent subsystem sizes, and the partition that completes the restoration first has to wait for the remaining partitions. recovery, black start is less efficient
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[0113] The black starter system division method of the present invention is used to divide the IEEE-39 standard test system to verify the validity of the algorithm. The IEEE-39 standard test system includes 12 transformers, 34 lines and 10 generator sets, 30 to 39 nodes are equipped with generator sets, and the remaining 29 are bus nodes.
[0114] Assuming that the power grid is completely shut down at the initial stage of the black start, the generators 30, 32, and 37 are used as black start power sources with self-starting capabilities after a major blackout in the power system, and their installed capacities are 250MW, 650MW, and 540MW respectively. The starting characteristics of each unit are shown in Table 1 It shows that the start-up time of the transmission line and the transformer branch is 5 minutes.
[0115] Table 1 Power Startup Characteristics
[0116]
[0117] First determine the initial large grid partition scheme, such as image 3 As shown in Table 2, as w...
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The invention discloses an electric power system partition optimization algorithm considering recovery time, which comprises the following steps: carrying out preliminary partition on an electric power system according to network topology, establishing priority indexes of all units by considering starting power, ramp rate and branch weight of a generator, and optimizing a unit starting sequence; establishing a decision-making system with uncertain factors based on the rough set; by taking minimization of the longest recovery time of all partitions as a target, establishing a power system partition optimization model considering the recovery time; and screening units needing to be adjusted according to the decision-making system, determining final unit partitions according to the adjusted power system partition optimization model, and performing partition recovery in combination with a unit recovery sequence. According to the power system partition model established by the invention, the influence of the recovery time on the whole power system partition result is considered, the difference between partition recovery time is shortened, and the recovery efficiency is improved.
Description
technical field [0001] The invention belongs to the technical field of power grids, in particular to a power grid partition optimization algorithm considering recovery time. Background technique [0002] In recent years, scholars at home and abroad have conducted a lot of research on the problem of black boot partitioning and achieved certain results. Literature 1 (Lin Zhenzhi, Wen Fushuan, Zhou Hao. Restoration subsystem partition algorithm based on complex network community structure [J]. Electric Power System Automation, 2009, 33(12): 12-16.) Using the theory of complex network community structure to divide For the subsystem, the GN algorithm is used to continuously remove the edge with the largest edge betweenness, and the modularity is used to evaluate the rationality of the subsystem. Literature 2 (Liang Haiping, Gu Xueping. Research on Black Starter System Division Method Based on Node Voltage Similarity[J]. Power System Protection and Control, 2013(14):81-86.) Takin...
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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06H02J3/00
CPCG06Q10/04G06Q10/06393G06Q50/06H02J3/00H02J2203/20Y04S10/50Y02E40/70
Inventor 刘琳谢云云梁晟杰郭伟清谷志强李德正杨正婷殷明慧卜京张俊芳姚娟邹云黄详淇
Owner NANJING UNIV OF SCI & TECH