Multi-target multi-main-body distributed game optimization method for distributed energy sources
A distributed energy and optimization method technology, applied in the field of multi-objective multi-agent distributed game optimization, can solve problems such as ignoring the overall consideration of individual characteristics, failing to meet engineering needs, ignoring multi-objective, multi-agent coordination problems, etc.
Active Publication Date: 2016-01-27
江苏南邮智慧城市研究院有限公司
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[0002] As more and more distributed energy sources such as wind power and photovoltaics are connected to the grid system, the joint optimization problem of multi-energy systems presents complex characteristics such as multi-objective and multi-constraint. Mutual game characteristics, traditional distributed optimization methods generally only consider its multi-objective characteristics or multi-agent game characteristics, ignoring the multi-objective and multi-agent coordination problems in distributed energy optimization
Since a variety of energy sources have their own different independent characteristics and various distributed energy sources generally belong to different stakeholders, the optimization scheme that only considers the multi-objective characteristics of the optimization problem ignores the overall consideration of individual characteristics
In addition, because the optimal configuration of distributed energy resources has a variety of target requirements, only considering the single target requirements of its multi-agent characteristics cannot meet its actual engineering needs
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[0035] Embodiments of the present invention will be described in detail below, and the embodiments described below with reference to the accompanying drawings are exemplary, and are only used to explain the present invention, and cannot be construed as limiting the present invention.
[0036] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in commonly used dictionaries should be understood to have a meaning consistent with the meaning in the context of the prior art, and will not be interpreted in an idealized or overly formal sense unless defined as herein explain.
[0037] In order to facilitate the understanding of the embodiments of the present invention, the following is as follows figure 1 The multi-ener...
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The invention discloses a multi-target multi-main-body distributed game optimization method for distributed energy sources, and belongs to the technical field of power system automation. Aiming at the multi-target, multi-constraint, nonlinear and multi-main-body game characteristics of a plurality of types of distributed energy sources, the invention provides the multi-target multi-main-body distributed game optimization method. According to the economical, environment-friendly and high-efficiency target demands of the joint optimization of the plurality of types of distributed energy sources, the method builds a multi-energy-system multi-target joint optimization model through combining the output and climbing rate constraints of the plurality of types of distributed energy sources. Based on the distributed coordination optimization theory, the method enables the whole model to be divided into a plurality of subsystem multi-target joint optimization models, employs an improved multi-target optimization algorithm for solving, and obtains a Pareto solution set of each subsystem, thereby finally forming an optimal Pareto solution set for the whole system and providing a reliable decision support for a decision maker.
Description
technical field [0001] The invention discloses a distributed energy-oriented multi-objective multi-agent distributed game optimization method, belonging to the technical field of power system automation. Background technique [0002] As more and more distributed energy sources such as wind power and photovoltaics are connected to the grid system, the joint optimization problem of multi-energy systems presents complex characteristics such as multi-objective and multi-constraint. Mutual game characteristics, traditional distributed optimization methods generally only consider its multi-objective characteristics or multi-agent game characteristics, ignoring the multi-objective and multi-agent coordination problems in distributed energy optimization. Since various energy sources have their own different independent characteristics and various distributed energy sources generally belong to different stakeholders, the optimization scheme that only considers the multi-objective cha...
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IPC IPC(8): H02J3/46G06Q10/04G06Q50/06
Inventor 张慧峰岳东陈剑波解相朋胡松林翁盛煊
Owner 江苏南邮智慧城市研究院有限公司
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