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A day-ahead robust joint optimization method and system for electric energy and ancillary service markets

An auxiliary service and joint optimization technology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve the problems of inability to fully consume new energy, abandon wind and light, etc., to provide new energy consumption capacity, strong Robustness, improving the effect of serious abandonment of wind and light

Active Publication Date: 2021-10-15
CHINA ELECTRIC POWER RES INST
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  • Summary
  • 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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  • A day-ahead robust joint optimization method and system for electric energy and ancillary service markets
  • A day-ahead robust joint optimization method and system for electric energy and ancillary service markets
  • A day-ahead robust joint optimization method and system for electric energy and ancillary service markets

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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 electric energy and auxiliary service markets, including: receiving a power market clearing request, requesting power market clearing; calling constraint conditions to solve pre-established considerations A day-ahead robust joint optimization model of electric energy and ancillary services for energy forecast errors to obtain the clearing results of the power market; output the clearing results of the power market. Aiming at the current problem of relatively large forecasting error of new energy sources and serious abandonment of wind and light, the present invention proposes a day-ahead robust joint optimization method and system for electric energy and auxiliary service markets. The new energy forecasting error proposed in the present invention is considered The joint optimization model of the day-ahead electric energy and auxiliary service market considers the new energy fluctuation error, has strong robustness, and can adapt to the large new energy fluctuation error; effectively provides the new energy consumption capacity of the power grid; the present invention can be used for large It provides an effective reference for the operation of the power market under the access of large-scale new energy.

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 Patents(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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