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Interval state estimation algorithm considering power flow constraint for power distribution network

A state estimation and power flow constraint technology, applied to AC network circuits, electrical components, circuit devices, etc., can solve problems such as uncertain distribution network states, and achieve the effects of improving accuracy, improving accuracy, and enhancing consistency

Inactive Publication Date: 2018-08-14
STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST +1
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  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is, in order to solve the state uncertainty problem of distribution network, propose a kind of distribution network interval state estimation algorithm that counts power flow constraint

Method used

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  • Interval state estimation algorithm considering power flow constraint for power distribution network
  • Interval state estimation algorithm considering power flow constraint for power distribution network
  • Interval state estimation algorithm considering power flow constraint for power distribution network

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Embodiment Construction

[0067] This embodiment is a distribution network interval state estimation algorithm considering power flow constraints. By studying the characteristics of SCADA and PMU measurement data, a state estimation method based on the mixed measurement data of SCADA and PMU is proposed. Aiming at the uncertainty problem in the results of state estimation, reasonable mathematical modeling is carried out on the uncertainty of network parameters, distributed generation, electric vehicles and measurement data, and the power flow equation is added as a constraint condition to establish a model that is more in line with the actual distribution network. Run the interval state estimation model. And a solution algorithm is proposed which takes the IGE solution as the initial value and uses the Krawczyk operator for iterative optimization, which realizes a more accurate and faster solution to the shell of the solution set.

[0068] figure 1 It is the algorithm flowchart of the present embodime...

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Abstract

The invention discloses an interval state estimation algorithm considering a power flow constraint for a power distribution network. The algorithm comprises the following steps of (1) establishing a state estimation method based on hybrid measurement data of SCADA and a PMU; (2) carrying out mathematical modeling on uncertainty of network parameters, distributed power generation, electric vehiclesand measurement data, and establishing an interval state estimation model; (3) taking a power flow equation of the network as a constraint condition of the interval state estimation algorithm, and establishing an interval state estimation model added with the power flow constraint; and (4) carrying out iteration solving by utilizing a Krawczyk operator in order to obtain a solution algorithm which is closer to an interval set of a solution set shell. According to the algorithm, the power flow equation is taken as the constraint condition of the interval state estimation algorithm, a problem that a part of the result exceeds the feasible solution interval is further relieved, the actual operation condition of the power distribution network is better met, the more rapid convergence speed can be obtained, the algorithm is quite suitable for engineering application, and the application prospect is good.

Description

technical field [0001] The invention relates to an interval state estimation algorithm of a distribution network considering power flow constraints, and belongs to the technical field of power system state evaluation. Background technique [0002] With distributed generation (DG), electric vehicles (EV), other active loads and a large number of measurement devices connected to the grid, the penetration of renewable energy in the distribution network is increasing, resulting in the traditional state estimation regardless of It is difficult to meet the needs of the current distribution network development in terms of calculation speed and estimation accuracy. [0003] At the same time, due to factors such as uncertain site environment, unstable operating conditions, and aging equipment, errors in network parameters are brought about, resulting in uncertainty in state estimation. In addition, the random charging of large-scale electric vehicles in the grid and the high-penetra...

Claims

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Application Information

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IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20Y02E60/00
Inventor 郑蜀江邓志祥蔡木良陈霖邓杰朱志杰游波
Owner STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST
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