Sensitivity factor based calculating method for power grid node marginal pricing

A technology of sensitivity factor and calculation method, applied in the field of power system scheduling automation, can solve problems such as difficulty in solving, low calculation efficiency, lack of mature algorithms, etc.

Inactive Publication Date: 2016-08-10
NARI TECH CO LTD +1
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  • Abstract
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  • Application Information

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Problems solved by technology

From a mathematical point of view, it is a nonlinear optimization problem, which is very difficult to solve
The current calculation methods are mainly applied to small-scale power grids. When solving large-scale power grids, the calculation efficiency is low, and there is a lack of mature algorithms that can be applied to large-scale power grid engineering practice.

Method used

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  • Sensitivity factor based calculating method for power grid node marginal pricing
  • Sensitivity factor based calculating method for power grid node marginal pricing
  • Sensitivity factor based calculating method for power grid node marginal pricing

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the drawings. The following embodiments are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.

[0034] In the day-ahead market stage, power generation companies in the market declare power generation capacity and prices, and power sales companies declare load demand and prices. Based on the quotation information of power generation companies and power sales companies, combined with the real-time and future operation status of the power grid, the dispatch trading center comprehensively considers system balance constraints, power grid security constraints and unit operation constraints, calls day-ahead market clearing and pricing procedures, and calculates the node margin of the power grid Electricity price, and publicly release the results of the node marginal electricity price as the main b...

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Abstract

The invention discloses a sensitivity factor based calculating method for power grid node marginal pricing. The method is performed through the following steps: determining the calculating period for node marginal pricing, obtaining the sensitivity factors of a power grid, building a power market clearing optimal model based on the sensitivity factors, adopting a linear programming method to solve the model, calculating the shadow price under constrained conditions and finally generating the clearing result of the power grid node marginal pricing. According to the invention, high calculating efficiency can be achieved. The method is suitable for addressing the market clearing problems in a large-scale power grid.

Description

Technical field [0001] The invention relates to a method for calculating the marginal electricity price of grid nodes based on a sensitivity factor, and belongs to the technical field of power system dispatching automation. Background technique [0002] The power industry system is undergoing profound changes. Breaking monopolies, introducing competition, and establishing a unified, open, competitive, and orderly power market have become a development trend. In a competitive power system, power generation companies compete with each other through the transmission grid to supply power to major users and distribution companies. The transmission price should be a reasonable economic signal, and the market should make decisions about resource allocation and grid investment based on this. Transmission pricing can not only determine grid access rights, but also incentivize the efficient operation of the electricity market. [0003] The node marginal price is the marginal cost caused by...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q30/02G06Q50/06
CPCG06Q10/04G06Q10/067G06Q30/0283G06Q50/06Y02E40/70Y04S10/50Y04S50/14
Inventor 李利利丁恰戴则梅高宗和滕贤亮谢丽荣涂孟夫昌力
Owner NARI TECH CO LTD
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