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Optimal scheduling method and system for photovoltaic power system based on flexible load

A power system and optimal scheduling technology, applied in photovoltaic power generation, electrical components, circuit devices, etc., can solve problems such as impact and output power uncertainty

Active Publication Date: 2019-03-12
新耀能源科技有限公司
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Problems solved by technology

[0002] Photovoltaic power generation has become one of the most potential new energy power generation methods, but due to the circadian periodicity of sunlight, the influence of the environment and meteorological conditions, it has greater intermittent and randomness. For large power grids, photovoltaic The power generation system is a typical uncontrollable source, and the uncertainty of its output power will bring great impact to the large power grid

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  • Optimal scheduling method and system for photovoltaic power system based on flexible load
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  • Optimal scheduling method and system for photovoltaic power system based on flexible load

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Embodiment Construction

[0076] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0077] The purpose of the present invention is to provide a flexible load-based photovoltaic power system optimization scheduling method and system, which can perform good scheduling for the photovoltaic power system.

[0078] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodimen...

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Abstract

The invention discloses an optimal scheduling method and system for a photovoltaic power system based on a flexible load. The response characteristics of the flexible load are combined, and the minimum operating cost, carbon emission penalty cost and lost load risk cost are taken as objective functions, so that the random fuzzy constraint conditions are determined, the photovoltaic output is predicted and a model is solved by adopting an improved bacterial colony chemotaxis algorithm based on a satisfaction method. The method or the system can meet the requirements for safe, economic and environment-friendly operation of an electric power system, the absorptive capacity of the photovoltaic system is greatly improved, the adopted algorithm has better convergence, the optimization result ismore ideal, and a reference is provided for a decision maker to carry out scheme decision.

Description

technical field [0001] The invention relates to the field of optimal scheduling of power systems, in particular to a method and system for optimal scheduling of photovoltaic power systems based on flexible loads. Background technique [0002] Photovoltaic power generation has become one of the most potential new energy power generation methods, but due to the circadian periodicity of sunlight, the influence of the environment and meteorological conditions, it has greater intermittent and randomness. For large power grids, photovoltaic The power generation system is a typical uncontrollable source, and the uncertainty of its output power will bring great impact to the large power grid. Therefore, in order to meet the requirements of power system safety, economical operation and power supply quality, it is self-evident to optimize the scheduling of the photovoltaic power system. Contents of the invention [0003] The purpose of the present invention is to provide a flexible...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/46
CPCH02J3/008H02J3/383H02J3/46H02J2203/20Y02E10/56
Inventor 杨秋霞杨海华高辰支成杨海兴
Owner 新耀能源科技有限公司
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