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Power transmission network scheme optimization method based on function difference and full life cycle

A whole-life-cycle, solution-optimized technology, applied in instruments, data processing applications, forecasting, etc., can solve problems such as lack of differentiated investment orientation for different types of solutions, ignoring input and output, and failing to consider life-cycle benefits

Pending Publication Date: 2020-07-17
STATE GRID FUJIAN POWER ELECTRIC CO ECONOMIC RES INST +1
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  • Abstract
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Problems solved by technology

[0004] The above research has shortcomings such as not considering the investment cost of the whole life cycle cost of the scheme, less consideration of the incremental benefit of the whole life cycle, and insufficient granularity calculation during the construction period and operation period of the scheme.
In practice, because only the cost is considered and the benefits of the whole life cycle are not considered, the scheme with relatively high input and output is often ignored
In addition, the investment in transmission network schemes at this stage often has specific purposes. The current investment performance evaluation system often puts all different types of schemes under the same evaluation index system for evaluation, and lacks the thinking of differentiated investment orientation for different types of schemes

Method used

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  • Power transmission network scheme optimization method based on function difference and full life cycle
  • Power transmission network scheme optimization method based on function difference and full life cycle
  • Power transmission network scheme optimization method based on function difference and full life cycle

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Embodiment 1

[0149] Step S1 includes: starting from the evaluation object, considering the purpose of its investment and construction, the characteristics of the object involved, the scope of action, and the main points of load characteristics, establishing a comprehensive evaluation index, and constructing an optimal implementation process for transmission network schemes based on functional differences and the entire life cycle . According to the characteristics of the power grid investment plan, select representative qualitative indicators or quantitative indicators, select a comprehensive evaluation model based on the collection and accumulation of previous indicator data (including reliability, economy, security, and sociality), whether to consider investors' risk preferences, etc. Factors, preprocess the data, calculate the weight of each index, and finally calculate the final evaluation result of the evaluation object, and analyze the evaluation results, and compare the above evaluat...

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Abstract

According to the invention, a power transmission network investment scheme evaluation process and an index system are constructed; all indexes of the whole power transmission network scheme are preliminarily calculated in combination with a highly refined full life cycle cost (LCC) and benefit calculation mode, the subjective weight of each index is solved by using a fuzzy analytic hierarchy process, and the final superior scheme is finally obtained by using the sorting of each weight and the relative membership degree, so that the purpose of investment decision is achieved.

Description

technical field [0001] The invention relates to the field of evaluation of investment benefits of transmission network schemes, in particular to a method for optimizing transmission network schemes based on functional differences and full life cycles. Background technique [0002] Transmission network planning plays a pivotal role in power grid planning. Its main planning is to scientifically build or transform the transmission network according to the increase in load in the power system and the development of large power sources. With the challenges brought about by the deepening power reform and large-scale new energy access, it is very difficult to directly obtain an ideal solution that meets the dimensions of reliability, economy, security, flexibility, and adaptability from the optimization model, and It will lead to exponential growth of constraints and decision variables, making it difficult to solve the planning model. Although the heuristic intelligent algorithm h...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06393G06Q50/06
Inventor 黎萌吴威林毅唐雨晨陆鑫黄屏发
Owner STATE GRID FUJIAN POWER ELECTRIC CO ECONOMIC RES INST
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