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Method for optimizing power grid planning scheme based on comprehensive cost model

A power grid planning and comprehensive cost technology, applied in the field of power systems, can solve problems such as affecting the correct selection of schemes, high life cycle costs, and ignoring renewal costs

Inactive Publication Date: 2015-06-03
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Benefits of technology

The technical effect that this technology helps optimize plans for multiple options over several months or longer by calculating their total costs based on factors like length between alternatives such as days from one year ago versus years later. This allows us to make better decisions about which option will lead to economic benefits compared to previous methods.

Problems solved by technology

This patented describes various methods used during electric network programming to optimize its planings. These include selecting specific locations where needed generational assets can resided within their owners' baseline, optimizing utilization efficiency without wasting space resource. Additionally, these techniques aim to evaluate how well each piece of equipment needs to stay operable despite being too much energy consumption by older facilities. Overall, they provide important benefits but also require careful consideration when considering long term costs.

Method used

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  • Method for optimizing power grid planning scheme based on comprehensive cost model
  • Method for optimizing power grid planning scheme based on comprehensive cost model
  • Method for optimizing power grid planning scheme based on comprehensive cost model

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Abstract

The invention provides a method for optimizing a power grid planning scheme based on a comprehensive cost model. According to the method, the comprehensive cost model, which adopts the planning target age limit as a boundary and considers the annual cost and the current value of a planned scheme at the end of the year, is created. The calculating range of the model is the grid equipment (substations and transmission lines) which produces variable amount of costs in the scheme, wherein economic life of old equipment is needed to be forecasted to determine whether needing to update and when updating within the planning period. Meanwhile, fault rate forecast of new and old equipment within the planning period is trained and output through a least square support vector machine algorithm. In addition, when the comprehensive cost model is applied to comparing planning schemes, in order to reduce the influence on error of economic variables, an interval method is adopted. Numerical examples show that economic optimization of the power grid planning scheme is effectively realized by combining the comprehensive cost model with the interval method, and the comprehensive cost model is suitable for planning target age limits in various lengths.

Description

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Claims

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Application Information

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Owner ZHEJIANG UNIV
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