Probabilistic Analysis Method for Distributed Power Planning Based on Area Gray Relational Decision

A distributed power generation, gray-related technology, applied in the fields of resources, wind power generation, photovoltaic power generation, etc., can solve the problems of reduced voltage stability, inability to directly guide planning, analysis of conflicts, etc., to achieve good results, improve planning efficiency, and applicability strong effect

Active Publication Date: 2021-06-18
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

However, when different methods are used to analyze node sensitivity, there may be conflicts in the analysis of the same node, which cannot directly guide the planning
[0004] Connecting high-sensitivity distribution network nodes to DG can help improve system voltage quality and reliability, but high-sensitivity distribution network nodes are easily affected by the randomness of DG output such as photovoltaic (PV) and wind power (WT), resulting in reduced voltage stability

Method used

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  • Probabilistic Analysis Method for Distributed Power Planning Based on Area Gray Relational Decision
  • Probabilistic Analysis Method for Distributed Power Planning Based on Area Gray Relational Decision
  • Probabilistic Analysis Method for Distributed Power Planning Based on Area Gray Relational Decision

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Embodiment Construction

[0069] The following takes the IEEE 69 node system as an example to illustrate a probability analysis method for distributed power planning based on area gray relational decision-making.

[0070] The present invention is a probability analysis method for distributed power planning based on area gray correlation decision-making, which includes:

[0071] refer to figure 1 and figure 2 , 1) Calculate the deterministic power flow

[0072] (1.1) Calculate the LSFs, VSI, and IVM values ​​according to formula (1), formula (2), and formula (3). The calculation uses area gray relational decision-making to carry out comprehensive weighting on the three methods of LSFs, VSI, and Index, and obtains the value of the probability analysis method AGIDM for distributed power planning based on area gray relational decision-making, as shown in Figure 5 shown. Select the top 10 of the ranking results as the candidate access nodes of the DG.

[0073]

[0074]

[0075]

[0076] wher...

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Abstract

The invention is a probability analysis method for distributed power supply planning based on area gray correlation decision-making, which is characterized in that it solves the problem that the analysis of the same node may conflict when different methods are used to analyze the sensitivity of distribution network nodes. The method of the present invention can effectively improve the planning efficiency and planning effect of the distributed power supply of the distribution network, and can effectively analyze the influence of high-sensitivity nodes accessing the distributed power supply with fluctuating output on the stability of the distribution network system. It has the advantages of scientific and reasonable method, strong applicability and good effect, which can improve the efficiency of distribution network intelligent planning and balance the optimal installation position of DG.

Description

technical field [0001] The invention relates to a distribution network distributed power supply, which is a probability analysis method for distributed power supply planning based on area gray correlation decision-making, and is applied to distribution network distributed power supply (Distribution Generation, DG) planning. Background technique [0002] DG planning generally includes two tasks: site selection and capacity determination. According to different planning objectives, different planning methods can be used to optimize the optimal planning scheme in different scenarios. Existing planning methods are mainly divided into two categories: classical methods and artificial intelligence algorithms. However, as the scale of the distribution network increases, it takes a long time to plan using the classic method and the convergence speed is slow; artificial intelligence algorithms have been widely used in the DG planning of the distribution network, but as the scale of t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q50/06H02J3/383H02J3/386H02J2203/20Y02E10/56Y02E10/76
Inventor 黄大为蔡国伟于娜黄南天李宏伟王文婷包佳瑞琪杨明亮
Owner NORTHEAST DIANLI UNIVERSITY
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