Distribution Network Planning Method Based on Credibility Theory
A distribution network planning and reliability technology, applied in the direction of AC networks, electrical components, circuit devices, etc. with the same frequency from different sources, can solve problems such as uncertain planning theory, slow solution speed, and complex models, and achieve Good standardization and generalizability, reduce the difficulty of solving, and reduce the effect of solving time
Active Publication Date: 2022-04-01
LIUAN POWER SUPPLY COMPANY STATE GRID ANHUI ELECTRIC POWER +1
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Problems solved by technology
At present, distribution network planning rarely considers the influence of fuzzy uncertainty of load. Distribution network planning involves a wide range of content, and its mathematical model contains many variables and constraints. Therefore, it is difficult for traditional planning algorithms to obtain the optimal solution.
The existing uncertain programming models are all based on uncertain programming theory, the models are complex and the solution speed is slow, the obtained schemes are relatively conservative, and there is a lack of mathematical indicators to effectively evaluate the system risk level
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[0045] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.
[0046] see figure 1 , the embodiment of the present invention includes:
[0047] A distribution network planning method based on credibility theory, comprising the following steps:
[0048] S1: Establish a distribution network fuzzy planning model based on credibility theory:
[0049] The concept of credibility introduced by the axiomatic system of fuzzy theory based on measure theory enables all operations of fuzzy numbers to be based on credibility, so that fuzzy evaluation can be quantified. The present invention takes the fixed investment of the distribution network and the minimum fuzzy expected network loss cost as the objective function ...
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The invention discloses a distribution network planning method based on the credibility theory, comprising the following steps: S1: establishing a distribution network fuzzy planning model based on the credibility theory; S2: establishing the equivalent of a given credibility index Model; S3: Using fuzzy power flow calculation and genetic algorithm to solve the model. The present invention establishes a distribution network planning model based on the credibility theory based on fuzzy mathematics theory, considers the fuzzy uncertainty of the load, takes the fixed investment of the distribution network during the planning period and the minimum fuzzy expected network loss cost as the objective function, and introduces a reliable The distribution network planning model under the reliability index is equivalent to the distribution network planning under the interval load Model, so that the cut set corresponding to the fuzzy load distribution can be represented by an intuitive interval, and the solution method reduces the difficulty of model solution and reduces the model solution time.
Description
technical field [0001] The invention relates to the field of power system planning, in particular to a distribution network planning method based on credibility theory. Background technique [0002] The traditional distribution network planning optimization method is based on certain planning parameters to obtain a deterministic planning scheme that satisfies the environmental constraints and has the best economic indicators. Traditional planning methods do not consider the influence of uncertain factors in planning, resulting in poor flexibility and economical planning of grid structures. [0003] For the treatment of uncertain factors in distribution network planning, there are mainly stochastic programming, fuzzy programming, interval planning, scenario analysis and risk assessment methods. At present, distribution network planning rarely considers the influence of load fuzzy uncertainty. Distribution network planning involves a wide range of content, and its mathematica...
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IPC IPC(8): H02J3/00H02J3/06
CPCH02J3/00H02J3/06H02J2203/20
Inventor 徐斌马骏丛宝松陈青刘红新丁倩徐璐李葆汤远红汪君段丽张跃
Owner LIUAN POWER SUPPLY COMPANY STATE GRID ANHUI ELECTRIC POWER