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Distributed wind power source optimization method based on modern interior point method and sensitivity analysis method

A power supply optimization and sensitivity technology, applied in wind power generation, design optimization/simulation, electrical components, etc., can solve the problems of sub-objectives that cannot be processed in coordination, and single planning model processing.

Active Publication Date: 2017-06-13
XIAN UNIV OF TECH +3
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Problems solved by technology

The traditional genetic algorithm is used to solve the problem, and the processing of the planning model is mostly too single or the sub-objectives cannot be coordinated.

Method used

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  • Distributed wind power source optimization method based on modern interior point method and sensitivity analysis method
  • Distributed wind power source optimization method based on modern interior point method and sensitivity analysis method
  • Distributed wind power source optimization method based on modern interior point method and sensitivity analysis method

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Embodiment

[0155] 1) The above method is tested using the PG&E69 node system. The system reference voltage is 12.66kV, the reference capacity is 1MVA, and the total system load is 3.9705+j2.6946MVA. Perform power flow calculation and sensitivity calculation on the system, the results are as follows image 3 .

[0156] image 3 It can be seen that the network loss sensitivity analysis results of node 69 show that at node 30, the PLSC value is -1.764, which is the global minimum. According to the analysis in Section 2.2.1, connecting distributed power at this node can minimize network loss.

[0157] Figure 4 The results show that the voltage stability value is the worst at node 50, VSSI=0.3209, the lowest point of voltage is node 54, the voltage value is 0.9092p.u, and the voltage stability of node 50 is the worst. When the voltage fluctuates, the voltage of this node is the most likely to collapse. The system voltage stability is most seriously affected. According to the analysis in ...

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Abstract

The invention discloses a distributed wind power source optimization method based on a modern interior point method and a sensitivity analysis method. The distributed wind power source optimization method comprises the specific following steps that 1, a mathematical model having lowest network loss and optimal voltage quality is established; 2, a sensitivity analysis method is adopted to analyze the influence of variable quantities of active power outputs and reactive power outputs of distribution network nodes on system network loss and busbar voltage stability margin; 3, the sensitivity analysis method is adopted to analyze the busbar voltage stability margin; 4, distributed wind power source planning is performed by adopting the modern interior point method; 5, PLSC and VSSI are normalized; 6, the sensitivity analysis method and the modern interior point method are applied to determine the configuration position and capacity of a distributed power source. The method can reasonably coordinate distributed wind power source planning strategies of network losses and voltage deviations brought by connection of the distributed wind power source to a distribution network.

Description

technical field [0001] The invention relates to the technical field of distributed wind power, and relates to a distributed wind power optimization method based on a modern interior point method and a sensitivity analysis method. Background technique [0002] As the contradiction between the growth of global energy demand and the depletion of fossil fuels becomes increasingly prominent, the status of renewable energy in the energy strategies of various countries continues to increase. Among them, distributed wind power has been highly recognized by people for its characteristics of cleanness, environmental protection, small investment, and improved reliability of power supply. When a large number of distributed wind power is connected to the distribution network, it will have an impact on the node voltage, line flow, short-circuit current, reliability, etc. Capacity is closely related. It is important to select a reasonable access point and access capacity for distributed ...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/38G06F17/50
CPCH02J3/386H02J3/00G06F30/20H02J2203/20Y02E10/76
Inventor 段建东刘静云田小江韩玉慧邢婉莹张晓朝程玉林董宇鹏常英
Owner XIAN UNIV OF TECH
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