Static quantitative analysis method for feeder flexibility of active power distribution system
A power distribution system, quantitative analysis technology, applied in the field of quantitative analysis of feeder flexibility, can solve the problems of lack of feeder flexibility evaluation methods, in the initial stage, etc.
Active Publication Date: 2019-10-22
TIANJIN UNIV
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Problems solved by technology
In terms of application scenarios, the quantitative analysis of flexibility is mainly aimed at scenarios where supply and demand are unbalanced. For feeders in a flexible operating state, the quantitative analysis of flexibility is still in its infancy; in terms of evaluation methods, the existing evaluation methods mainly use the index of insufficient flexibility To describe the degree of imbalance between supply and demand in the power distribution system, there is a lack of evaluation methods for feeder flexibility oriented to flexible operation
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[0046] For this embodiment, firstly select a feeder running radially, the nodes are numbered from 1 to 13, input the impedance value of the line components, the active power and reactive power of the load components, the connection relationship of the network topology, and the structure of the calculation example is as follows figure 2 As shown, see Table 1 and Table 2 for detailed parameters; set up two controllable resource access points, and see Table 3 for the type, location and power of controllable resources; access 4 groups of distributed The capacity of power supply is 0.4MVA; the upper limit of line transmission capacity is set to 2.5MVA, the minimum value of node voltage is set to 0.95p.u., and the maximum value of node voltage is set to 1.05p.u.
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The invention relates to a static quantitative analysis method for the feeder flexibility of an active power distribution system, which comprises the steps of inputting the selected structure and parameters of the radially operating active power distribution system; carrying out power flow calculation to obtain the current operation state of the power distribution network; in consideration of nodes provided with controllable resources in a feeder, establishing a node flexibility quantitative representation based on a node power model for the nodes; in consideration of a topological connectionrelation of the power distribution network, establishing a feeder flexibility conduction model; solving to obtain a set of operation strategies of the controllable resources of each node; and calculating to obtain the quantified feeder operation flexibility. The method gives full play to the regulation and control function of the controllable resources, adapts to high-permeability access of the distributed power supply, comprehensively considers a node flexibility quantification method, a flexibility conduction process and a feeder flexibility quantification method and obtains the evaluation method for the feeder flexibility of the active power distribution system.
Description
technical field [0001] The invention relates to a quantitative analysis method for feeder flexibility. In particular, it involves a static quantitative analysis method for feeder flexibility of active power distribution systems. Background technique [0002] As distributed generators (Distributed Generators, DGs) are widely connected to the power distribution system, the power distribution system has gradually transformed into an active power distribution system integrating collection, transmission, storage and distribution functions. In the active power distribution system, the diversified load demands on the user side and the high penetration rate access of distributed power sources further complicate the energy flow in the power distribution system. In actual operation, in order to cope with a wide variety of operating requirements and operating scenarios, the active power distribution system must have the ability to coordinate flexible resources and adjust the operating...
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IPC IPC(8): H02J3/38
CPCH02J3/381H02J2203/20Y02A30/60
Inventor 李鹏王玥珑王成山冀浩然赵金利于浩宋关羽
Owner TIANJIN UNIV
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