Multi-objective optimization method for power system black start recovery considering comprehensive node weights
A multi-objective optimization, power system technology, applied in the field of multi-objective optimization of power system black start recovery, can solve problems such as system scale structure and control complexity, power grid blackout, etc.
Active Publication Date: 2020-11-03
STATE GRID TIANJIN ELECTRIC POWER +1
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[0002] Although there are more and more interconnections between different systems in the cross-regional interconnection grid, and the overall system's ability to resist disturbances and failures is also getting stronger, due to the large scale of the system, complex structure and control, various accidental and human factors lead to local or even Accidents of power outages in the entire power grid are still unavoidable and occur from time to time, such as the "814 Blackout" accident in the United States and Canada in 2003.
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[0069] The present invention will be further described in detail below in conjunction with the accompanying drawings and through specific embodiments. The following embodiments are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.
[0070] System recovery is to find an optimal solution at each time step under the condition of satisfying relevant constraints, and complete the recovery process of this time step. In order to speed up the process of system recovery, reduce the loss of social and economic benefits, and enhance the anti-interference of the newly formed network, this paper proposes three objective functions, namely, the comprehensive weight of nodes, the output of generators, and the anti-interference of the network.
[0071] The above three objective functions are calculated at each time step until all nodes recover or all units reach the rated output.
[0072] System recovery can be divided into a multi-period sequen...
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The invention relates to an electric power system black-start recovered multi-target optimization method in consideration of comprehensive node weight. A target function of a model comprises the maximum node comprehensive weight, the most generator capacity and the strongest network anti-interference; the constraint condition of the model comprises the load equation constraint, the capacity constraint of the single load maximum power constraint unit, the over-voltage constraint, and the load constraint at the unstable capacity stage of the started unit. A system recovered multi-target function model is solved by using a particle swarm optimization algorithm; and the example of the actual system confirms the validity of the algorithm of this invention.
Description
technical field [0001] The invention belongs to the field of power grid security, and relates to fast system recovery after a power outage in the entire network, in particular to a multi-objective optimization method for power system black start recovery considering comprehensive node weights. Background technique [0002] Although there are more and more interconnections between different systems in the cross-regional interconnection grid, and the overall system's ability to resist disturbances and failures is also getting stronger, due to the large scale of the system, complex structure and control, various accidental and human factors lead to local or even Accidents of power outages in the entire power grid are still unavoidable and occur from time to time, such as the "814 Blackout" accident in the United States and Canada in 2003. These major blackouts have brought immeasurable losses to the local social economy, politics and residents' lives. If the power supply can b...
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IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 李玉烨刘涛史成广徐健肖志超鄂家兴白玉坤王桂林
Owner STATE GRID TIANJIN ELECTRIC POWER