Day-ahead robust joint optimization method and system for electric energy and auxiliary service market

A technology of auxiliary services and joint optimization, applied in electrical components, circuit devices, AC network circuits, etc., can solve the problems of inability to fully absorb new energy, abandoning wind and light, etc., to provide new energy consumption capacity, strong Robustness, the effect of improving technical problems

Active Publication Date: 2021-08-17
CHINA ELECTRIC POWER RES INST
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a robust joint optimization method and system for the electric energy and auxiliary service market, so as to solve the problem that the above-mentioned optimization method cannot completely absorb the new energy when there is a large fluctuation error in the power of the new energy, resulting in waste The serious technical problem of wind abandonment phenomenon

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  • Day-ahead robust joint optimization method and system for electric energy and auxiliary service market
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  • Day-ahead robust joint optimization method and system for electric energy and auxiliary service market

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Embodiment 1

[0079] see figure 1 As shown, the present invention provides a day-ahead robust joint optimization method for electric energy and ancillary service markets, comprising the following steps:

[0080] S1. Receive the electricity market clearing request, and request the electricity market clearing;

[0081] S2. Solve the pre-established day-ahead robust joint optimization model of electric energy and ancillary services considering new energy forecast errors by invoking constraints, and obtain the clearing results of the electricity market;

[0082] S3. The output power market clears the result.

[0083] Invoke constraints to solve the pre-established day-ahead robust joint optimization model of electric energy and ancillary services considering new energy forecast errors, and obtain the power market clearing results, considering the day-ahead robustness of electric energy and ancillary services considering new energy forecast errors The optimization objective of the joint optimi...

Embodiment 2

[0111] This embodiment 2 provides a day-ahead robust joint optimization method for the electric energy and auxiliary service market, which is different from the embodiment 1 in that:

[0112] In step S2, the optimization objective of the day-ahead robust joint optimization model of electric energy and ancillary services considering new energy forecast errors is established:

[0113] In day-ahead dispatching, the decision-making goal of the dispatching center is to improve the ability of the power grid to deal with new energy forecast errors and the operating economy in the worst case on the premise of ensuring the safety and reliability of the power grid operation. The whole decision process can be described as a min-max optimization problem. The optimization objective of the day-ahead robust joint optimization model for electric energy and auxiliary services is to minimize the market power purchase cost, as shown in the following formula:

[0114] (11)

[0115] In the for...

Embodiment 3

[0133] see figure 2 As shown, the present invention also provides a day-ahead robust joint optimization system for the electric energy and auxiliary service market, including:

[0134] The receiving module is used to receive the electricity market clearing request and request the electricity market clearing;

[0135] Call the solution module, which is used to call the constraints to solve the pre-established day-ahead robust joint optimization model of electric energy and auxiliary services considering the new energy forecast error, and obtain the clearing result of the power market;

[0136]The output module is used to output the clearing result of the electricity market.

[0137] In the present invention, the optimization objective of the day-ahead robust joint optimization model of electric energy and auxiliary services considering new energy prediction errors is:

[0138] (1)

[0139] s.t.

[0140] (2)

[0141] (3)

[0142] In the formula: is the cost per un...

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Abstract

The invention belongs to the field of electric power automation, and discloses a day-ahead robust joint optimization method and system for an electric energy and auxiliary service market, and the method comprises the steps: receiving an electricity market clearing request, and requesting the clearing of the electricity market; calling the constraint condition to solve a pre-established day-ahead robust joint optimization model of the electric energy and the auxiliary service considering the new energy prediction error, and obtaining an electricity market clearing result; and outputting theelectricity market clearing result. The invention provides the day-ahead robust joint optimization method and system for the electric energy and auxiliary service market, aiming at the problems that the current new energy prediction error is relatively large and the phenomenon of wind and light abandoning is serious, and by providing the day-ahead robust joint optimization method and system for the electric energy and auxiliary service market considering the new energy prediction error, new energy fluctuation errors are considered, the robustness is high, and the model can adapt to large new energy fluctuation errors; the new energy consumption capability of the power grid is effectively provided; and effective reference can be provided for power market operation under large-scale new energy access.

Description

technical field [0001] The invention belongs to the technical field of electric power automation, and in particular relates to a method and system for robust joint optimization of electric energy and auxiliary service markets. Background technique [0002] New energy generally refers to renewable energy that is developed and utilized on the basis of new technologies, including common solar energy and wind energy. New energy power generation is the process of using existing technologies to realize power generation through solar and wind energy. However, solar energy and wind energy are not controlled by human factors and fluctuate greatly, and the processing wave pairs of solar energy and wind energy power generation are also relatively large, which is difficult to predict accurately. [0003] In dealing with the uncertainty of new energy, there are mainly two methods: stochastic programming and robust optimization; compared with the two, robust optimization has a probabilit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38
CPCH02J3/381H02J2203/20H02J2300/20
Inventor 蔡帜丁强李强戴赛李立新潘毅崔晖李宇轩胡晓静盛灿辉张传成屈富敏李哲张瑞雯常江徐晓彤黄国栋许丹胡晨旭李博李静李志宏杨晓楠王磊苏明玉
Owner CHINA ELECTRIC POWER RES INST
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