Distribution Network State Evaluation Method Based on Subnet Worst Principle
A network state and power distribution network technology, applied in the direction of AC network circuits, electrical components, circuit devices, etc., can solve the problems of difficult safety state assessment, complex network structure, and large number of devices.
Active Publication Date: 2014-10-08
INTEGRATED ELECTRONICS SYST LAB
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Problems solved by technology
[0004] As the terminal network of power supply, the power distribution network has a more complex network structure and a larger number of equipment than the transmission network, and it is more difficult to determine the operating status of the power grid.
At the same time, due to the access of distributed power sources, microgrids and energy storage devices in the distribution network, the operation mode of the smart distribution network is more diversified, and the security status assessment is more difficult
Method used
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[0059] The concrete method that utilizes the method proposed in the present invention to carry out distribution network state assessment is as follows:
[0060] (1) Determine the minimum distribution sub-island and the minimum distribution sub-network. A closed set consisting of switches and feeder segments is called a distribution area. If an area contains at least one power point, the boundary node is a tie switch or a terminal node, and all internal points are segment switches, then the area is called the minimum distribution sub-island. The two smallest distribution sub-islands with the same tie switch are called the adjacent smallest distribution sub-islands, and the power point of the two distribution sub-islands is called the adjacent power supply point of the tie switch. The area composed of all adjacent minimum distribution sub-islands with connectivity is called the minimum distribution sub-network.
[0061](2) The minimum distribution subnetwork is the smallest un...
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The invention discloses a power distribution network state assessment method based on a subnet worst principle. The power distribution network state assessment method comprises the following steps of: determining a smallest power distribution sub-island and a smallest power distribution subnet; determining that the smallest power distribution subnet is a smallest power distribution network analysis unit; dividing operating states into six levels according to a good-to-poor sequence and the influence degrees and ranges of faults, and respectively entering the six states according to emergent situations; and describing the operating state of the whole power distribution network by using the smallest power distribution subnet with the worst operating state. The power distribution network state assessment method disclosed by the invention solves the state classification and assessment problems in the power distribution network operating process and is concise and convenient and suitable for actual operating demands of the power distribution network.
Description
technical field [0001] The invention relates to the field of distribution network operation state evaluation, in particular to a distribution network state evaluation method based on the worst subnet principle. Background technique [0002] The grid operation state early warning and evaluation system is an important part of the smart grid, which describes the security level of the grid by grading the current grid operation state. It is of great significance to improve the scheduling efficiency, avoid the occurrence and expansion of faults, and improve the reliability of power supply. [0003] At present, the state assessment of the power grid is mostly concentrated in the field of transmission network, and it is mainly risk assessment. It gives a certain scoring index through the risk probability of main equipment failure in the power grid. The methods adopted mainly include enumeration method, Monte Carlo method, Genetic algorithm, particle swarm algorithm, accident-based ...
Claims
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IPC IPC(8): H02J3/00
Inventor 张伟
Owner INTEGRATED ELECTRONICS SYST LAB