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AC power flow constraint-based uncertainty unit commitment model and solving method

A technology of uncertainty and AC power flow, applied in the field of power system and automation research, it can solve problems such as difficulty in solving models, and achieve the effect of reducing the risk of grid voltage exceeding the limit and improving the effectiveness.

Active Publication Date: 2016-07-20
CHINA THREE GORGES UNIV
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Problems solved by technology

Aiming at the difficult problem of solving the model, a stochastic constrained order optimization method is proposed, which successfully realizes the fast solution of the model

Method used

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  • AC power flow constraint-based uncertainty unit commitment model and solving method
  • AC power flow constraint-based uncertainty unit commitment model and solving method
  • AC power flow constraint-based uncertainty unit commitment model and solving method

Examples

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Embodiment

[0102]The present invention takes the modified IEEE-118 node power system as an example. The system includes 54 thermal power units, 3 wind farms, and 91 load points, wherein the wind farms are respectively located on nodes 14, 54, and 95, and their rated power 100MW, 200MW, 250MW, active output such as image 3 shown. The positive spinning reserve demand of conventional units in the system is 8% of the maximum system load, the negative spinning reserve demand is 2% of the minimum system load, and the spinning reserve risk index is 0.01. Relevant calculations are completed on a computer with Intel Core i3-3240 processor 3.40GHz and 4G memory, and Matlab8.0 and Cplex12.5 are used to program and solve the calculation examples.

[0103] 1), model solution:

[0104] Table 1 shows the system obtained by using the chance constraint method and the spinning reserve required by each wind farm.

[0105] Table 1 Spinning reserve (MW) of each wind farm

[0106]

[0107] Using the S...

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Abstract

The invention relates to an AC power flow constraint-based uncertainty unit commitment model and a solving method. With the minimum fuel cost sum for a thermal power unit in 24 hours as an optimization target, a chance-constrained method is adopted to describe uncertainty for wind power output, AC power flow model-based network security constraints are built, and thus, the AC power flow security constraint-based uncertainty unit commitment model is provided. In view of the problem that the model is hard to solve, the invention provides a random constraint ordinal optimization method for successfully realizing quick model solution. In comparison with the traditional DC power flow constraint-based uncertainty unit commitment model, the provided model of the invention can effectively reduce the risk of threshold crossing of power grid voltage after large-scale wind power access, effectiveness of current power generation planning decisions is enhanced, the built model can finely calculate system network losses, and data reference is provided for a dispatching person. In addition, the solved algorithm is greatly enhanced compared with the traditional algorithm.

Description

technical field [0001] The invention belongs to the field of electric power system and automation research, and in particular relates to an uncertain unit combination model and a solution method considering the constraint of AC power flow. Background technique [0002] Security Constraint Unit Commitment (SCUC) is the theoretical basis of power system day-ahead scheduling decision-making and the main basis for making day-ahead power generation plan. With the large-scale access of wind power with uncertain output in recent years and the continuous improvement of refinement requirements for power grid dispatching and operation, the problem of unit combination in power systems considering wind power access has increasingly become a research hotspot. [0003] At present, in the traditional power system that does not consider wind power access, the widely used SCUC model uses the network security constraints based on the DC power flow model to check the safety and stability of th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06Q50/06G06F17/50
CPCG06Q50/06G06F30/367H02J3/00H02J2203/20Y04S10/50
Inventor 杨楠周峥崔家展李宏圣王璇黎索亚
Owner CHINA THREE GORGES UNIV
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