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Alternating current/direct current distribution network distributed optimization method considering wind power uncertainty

A technology of uncertainty and optimization method, applied in the field of distribution network, which can solve the problems of large distribution network and difficult to guarantee convergence.

Active Publication Date: 2019-11-15
SICHUAN UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The diameter of the distribution line is smaller than that of the transmission line, resulting in a larger R / X of the distribution network
Due to the large R / X of the distribution line, it is difficult to guarantee the convergence of these algorithms commonly used in the transmission network in the power flow calculation of the distribution network.

Method used

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  • Alternating current/direct current distribution network distributed optimization method considering wind power uncertainty
  • Alternating current/direct current distribution network distributed optimization method considering wind power uncertainty
  • Alternating current/direct current distribution network distributed optimization method considering wind power uncertainty

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Embodiment 1

[0099] A distributed optimization method for AC-DC distribution network considering the uncertainty of wind power. Based on the natural partition properties of AC-DC distribution network, a typical AC-DC hybrid distribution network structure and a distributed optimization framework are built. Within the sub-region of the DC power grid, the probability distribution of each wind power output scenario is constrained by considering the 1-norm and ∞-norm at the same time, and a data-driven two-stage distribution robust model is established;

[0100] In the two-stage model, the energy storage charging and discharging power, the power purchased by the upper-level grid and the exchange power between the AC and DC sub-regional grids are used as the robust decision variables in the first stage, and the actual dispatching power of wind power, the output of gas turbines and the additional adjustment power of the upper-level grid are used as the second stage Flexible adjustment variables;

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Abstract

The invention discloses an alternating current / direct current distribution network distributed optimization method considering wind power uncertainty. Based on the natural partitioning properties of an alternating current / direct current distribution network, a typical alternating current / direct current hybrid distribution network structure and distributed optimization framework are established. Within each alternating current / direct current power grid sub-region, the 1-norm and the infinity-norm are considered at the same time to constrain the probability distribution of each wind power outputscene, and a data-driven two-stage distribution robust model is established. The model uses the electricity purchasing cost of a superior power grid, the electricity purchasing and selling cost of alternating current / direct current sub-regions, the wind abandonment cost, the power generation cost of a micro-turbine and the like as optimization goals, and uses the 1-norm and the infinity-norm to constrain the uncertainty of the probability distribution of the screened typical scene. The data-driven two-stage distribution robust model is established, and column and constraint generation algorithms are used to solve.

Description

technical field [0001] The invention relates to the field of distribution networks, in particular to a distributed optimization method for an AC / DC distribution network considering the uncertainty of wind power. Background technique [0002] The distribution network is composed of overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensators and some auxiliary facilities, etc., and plays an important role in distributing electric energy in the power network. The distribution network is classified according to the voltage level, which can be divided into high-voltage distribution network (35-110KV), medium-voltage distribution network (6-10KV, 20KV in Suzhou), and low-voltage distribution network (220 / 380V); In larger super-large cities, the 220KV power grid also has power distribution functions. Classified according to the function of the power supply area, it can be divided into urban distribution network, rural distribution net...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/36
CPCH02J3/00H02J3/008H02J3/36Y02E60/60
Inventor 高红均王家怡刘友波刘俊勇
Owner SICHUAN UNIV
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