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Multi-target day-ahead optimal scheduling method for multi-power-supply power system

A power system and optimal dispatching technology, applied in electrical components, circuit devices, AC network circuits, etc., can solve the problem of difficult to meet the safe and economical operation of the power system, and achieve the effect of improving the level of consumption and reasonable economy.

Pending Publication Date: 2020-04-03
STATE GRID LIAONING ELECTRIC POWER RES INST +2
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Problems solved by technology

[0004] At present, the single-objective optimal dispatching model has been difficult to meet the safe and economical operation of the power system, so it requires continuous research and development by those skilled in the art

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  • Multi-target day-ahead optimal scheduling method for multi-power-supply power system
  • Multi-target day-ahead optimal scheduling method for multi-power-supply power system
  • Multi-target day-ahead optimal scheduling method for multi-power-supply power system

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the examples of the present invention with reference to the drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, other embodiments obtained by persons of ordinary skill in the art without making creative efforts all belong to the protection scope of the present invention.

[0042] The invention is a multi-objective day-ahead optimization dispatching method for a multi-source electric power system. The multi-source electric power system includes various power sources such as thermal power, hydropower, wind power, photovoltaic and energy storage power stations. Aiming at improving the operation economy, safety and renewable energy consumption level of the multi-source power system, and taking the operating constraints of the gen...

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Abstract

The invention belongs to the technical field of power system automation, and particularly relates to a multi-target day-ahead optimal scheduling method for a multi-power-supply power system. The method comprises the following steps: (1) obtaining a system operation mode, load prediction data and renewable energy power generation prediction data of the next day; (2) establishing a multi-target day-ahead optimal scheduling model of the multi-power-supply power system; (3) solving the model by adopting a particle swarm optimization algorithm; and (4) generating a day-ahead scheduling strategy according to a solving result. According to the method, the operation characteristics of various types of generator sets can be comprehensively considered, a day-ahead optimization scheduling scheme which meets the safety requirement, makes full use of renewable energy sources and is reasonable in economy is formulated, safe and economic operation of a power system is ensured, and meanwhile, the renewable energy source consumption level is improved.

Description

technical field [0001] The invention belongs to the technical field of electric power system automation, and in particular relates to a multi-objective day-ahead optimization scheduling method for a multi-source electric power system. Background technique [0002] In recent years, with the rapid development of renewable energy, wind power and photovoltaic power generation technologies have become increasingly mature, and installed capacity has continued to increase. Among them, wind power is one of the power generation methods with the most mature technology, the most large-scale and commercial development value. However, due to the uncertainty of the primary energy of renewable energy, the output power of wind power and photovoltaic will fluctuate randomly within a wide range. The continuous improvement of the penetration rate of new energy power generation will bring new challenges to the peak regulation of the power system, the stability of the power grid and the economi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/46H02J3/48
CPCH02J3/008H02J3/46H02J3/48
Inventor 李铁苏安龙陈晓东何晓洋伦涛刘东周才期姜枫崔岱王钟辉唐俊刺宁辽逸冯占稳何超军王淼韩秋李金泽王振宇张宇时许小鹏李典阳王顺江曾辉韦明李成程丛海洋迟成白雪巩晓伟
Owner STATE GRID LIAONING ELECTRIC POWER RES INST
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