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Equivalent probability power flow method considering uncertainty and static frequency characteristic of external network
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A technology of frequency characteristics and probability flow, which is applied to AC networks with the same frequency from different sources, AC network circuits, complex mathematical operations, etc. Probabilistic power flow calculation errors in energy and power systems
Active Publication Date: 2018-07-27
CHONGQING UNIV
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[0003] The existing equivalent network models applied to the equivalent probability power flow can be divided into the following three categories: considering the equivalent of power flow and sensitivity information, considering the equivalent of static frequency characteristic information, and considering the equivalent of uncertainty information. The equivalent network of probabilistic power flow does not comprehensively consider the influence of new energy sources and loads with uncertainties, as well as the static frequency characteristics of external network loads and generators, thus ignoring the strong uncertainty of the external network. and static frequency characteristics, and cannot truly reflect the actual operating characteristics of the power system
Therefore, the calculation of the probability power flow of the power system containing a large amount of new energy is still relatively large, and it is difficult to apply to the probability flow of the power system containing a large amount of new energy.
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Embodiment 1
[0086] An equivalent probabilistic power flow method considering external network uncertainty and static frequency characteristics mainly includes the following steps:
[0087] 1) Establish the original power network model.
[0088] Further, the original power network model mainly includes the original external network E, the original network boundary and the original internal network.
[0089] There are E external network nodes in the original external network.
[0090] There are B boundary nodes in the original network boundary.
[0091] There is one intranet node in the original internal network. I intranet node comprises 1 balanced intranet node and 1-1 unbalanced intranet node. The total number of elements in the original internal network is N. The number of available components in the original internal network is N f .
[0092] The basic parameters of the power network mainly include the component parameters in the original network, the original network topology an...
Embodiment 2
[0339] An experiment to verify the equivalent probabilistic power flow method considering the uncertainty of the external network and the static frequency characteristics mainly includes the following steps:
[0340] 1) Establish a test system.
[0341] In an IEEE 9-node system, the system is divided into external networks, border nodes, and internal networks:
[0342] External nodes: Node2, Node3, Node6 and Node7.
[0343] Boundary nodes: Node 5 and Node 9.
[0344] Internal nodes: node 1 and node 4, of which node 1 is a balance node.
[0345] In the IEEE 118 node system, the system is also divided into external network, border nodes and internal network:
[0346] External nodes: node 80, node 83 to node 112.
[0347] Boundary nodes: node 81 and node 82.
[0348] Internal nodes: node 1 to node 79, node 113 to node 118, of which 69 nodes are balance nodes.
[0349] In the two test systems, the correlation coefficient between external network loads is 0.1. The per-unit v...
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Abstract
The invention discloses an equivalent probability power flow method considering uncertainty and static frequency characteristic of an external network. The equivalent probability power flow method mainly comprises the following steps of 1) building an original power network model; 2) inputting a fundamental parameter of a power network into the original power network model; 3) building an equivalent power network model by a power flow and sensitivity consistency equivalent method; 4) calculating static frequency characteristic of an equivalent load; 5) calculating static frequency characteristic of an equivalent power generator; 6) calculating an expected value, standard difference and an accumulation distribution function of a state variable of the power network by a Monte Carlo method; and 7) calculating probability power flow by the Monte Carlo method according to the built equivalent power network. The improved equivalent method is applied to probability power flow, the important influence of the external network on an external network is reserved, and the probability power flow calculation accuracy is improved.
Description
technical field [0001] The invention relates to the field of power system probability power flow calculation, in particular to an equivalent probability power flow method considering external network uncertainty and static frequency characteristics. Background technique [0002] In a power system with a large amount of new energy, the probability power flow has become an important tool to evaluate the influence of uncertain factors on power flow. At the same time, as the penetration rate of new energy continues to rise, the uncertainty of the system is gradually increasing, and the risks of frequency, branch power and voltage in the power flow of the system are becoming increasingly prominent. Therefore, in order to reflect the actual operating characteristics of the power system, the static frequency characteristics reflecting the frequency response of loads and generators should be taken into account in the probabilistic power flow. In addition, the modern power system ha...
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