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Load price-quantity curve aggregation system considering electricity purchasing cost uncertainty

A technology of power purchase cost and uncertainty, applied in the field of load price-quantity curve aggregation system, which can solve problems such as low predictability, influence on aggregation results, and uncertainty of forecast errors.

Pending Publication Date: 2020-04-10
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, the size of the price will directly affect the user's electricity consumption and then affect the aggregation result
However, in actual engineering, the predictability of node power purchase cost is low, and its prediction error is uncertain

Method used

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  • Load price-quantity curve aggregation system considering electricity purchasing cost uncertainty
  • Load price-quantity curve aggregation system considering electricity purchasing cost uncertainty
  • Load price-quantity curve aggregation system considering electricity purchasing cost uncertainty

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] see Figure 1 to Figure 3 , a load price-volume curve aggregation system considering the uncertainty of power purchase cost, mainly including database, load optimal aggregation module, price-volume curve aggregation module considering the uncertainty of power purchase cost and considering the uncertainty of power purchase cost A price-volume curve calculation module.

[0073] The database stores the data of the optimal load aggregation module, the price-volume curve aggregation module considering the uncertainty of electricity purchase cost, and the price-volume curve calculation module considering the uncertainty of electricity purchase cost. The database is stored on a computer readable storage medium.

[0074] The load optimal aggregation module aggregates the price-volume curves of the power purchase entity 1 to obtain an optimal load aggregation model.

[0075] The load optimal aggregation model is as follows:

[0076]

[0077] In the formula, x represents th...

Embodiment 2

[0125] A load price-volume curve aggregation system that considers the uncertainty of power purchase costs, mainly including a database, a load optimal aggregation module, a price-volume curve aggregation module that considers the uncertainty of power purchase costs, and a module that considers the uncertainty of power purchase costs The price-volume curve calculation module.

[0126] The database stores the data of the optimal load aggregation module, the price-volume curve aggregation module considering the uncertainty of electricity purchase cost, and the price-volume curve calculation module considering the uncertainty of electricity purchase cost.

[0127] The load optimal aggregation module aggregates the price-volume curves of the power purchase entity 1 to obtain an optimal load aggregation model.

[0128] The price-volume curve aggregation module considering the uncertainty of the electricity purchase cost retrieves the optimal load aggregation model, and establishes ...

Embodiment 3

[0131] A load price-volume curve aggregation system considering the uncertainty of electricity purchase costs, the main content is shown in Example 2, where the optimal load aggregation model is as follows:

[0132]

[0133] In the formula, x represents the electricity purchase cost. x B 、x 0 is the power purchase cost x the upper and lower limits. f l (x) is the price-volume curve of the power purchase entity l. Curve f l (x) indicates that the planned power consumption is f when the power purchase cost is x l (x). k is the number of power purchase entities. g(x) is the aggregate power demand curve in the form of a stepwise step. the y b Report electricity consumption for paragraph b. b ∈ B three {b: b=1...B}. B is the total number of segments of the piecewise function.

[0134] Among them, the price-volume curve f of the power purchase entity l l (x) as follows:

[0135]

[0136] In the formula, m, n, and y are the planned electricity consumption coeffici...

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Abstract

The invention discloses a load price-quantity curve aggregation system considering electricity purchasing cost uncertainty. The load price-quantity curve aggregation system mainly comprises a database, a load optimal aggregation module, a price-quantity curve aggregation module considering the electricity purchasing cost uncertainty and a price-quantity curve calculation module considering the electricity purchasing cost uncertainty. According to the optimal aggregation system of the demand side user price-quantity curve considering the uncertainty of the power purchase cost, the system can effectively improve the aggregation precision near the predicted power purchase cost, and the system is suitable for power markets with different clearing modes and has good expansibility.

Description

technical field [0001] The invention relates to the field of electric power system and automation thereof, in particular to a load price-volume curve aggregation system considering the uncertainty of power purchase cost. Background technique [0002] The reform of the electricity sales side is one of the key points of the power market reform. It can provide channels for demand-side resources to participate in the power market and bring many benefits to the entire power market ecological environment by promoting the active participation of demand-side resources: from the perspective of system operators It can be seen that the active participation of the demand side can better explore the potential of load elasticity and improve the predictability of load, which has significant benefits for system operation, planning and reliability; from the perspective of users, actively responding to power purchase costs can help them Formulate a more reasonable electricity plan, save elect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02G06Q50/06G06N3/00
CPCG06Q10/04G06Q30/0206G06Q50/06G06N3/004
Inventor 杨知方王子石杨燕余娟
Owner CHONGQING UNIV
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