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Multi-energy economic dispatching method based on multi-objective fuzzy optimization in active distribution network environment

A fuzzy optimization, multi-objective technology, applied in the direction of circuit devices, AC network circuits, single network parallel feeding arrangement, etc., can solve the problem of providing sufficient decision support for decision-making dispatchers

Active Publication Date: 2018-07-13
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0003] The purpose of the present invention is to address the shortcomings of the above-mentioned background technology and provide a multi-energy economic dispatch method for multi-objective fuzzy optimization in the active distribution network environment, adding a fuzzy mechanism to fuzzy intermittent energy output in the multi-objective optimization process According to the multi-objective model of fuzzy intermittent energy output optimization, the Pareto fuzzy scheme set is obtained, which realizes the fuzzification of the scheduling process of each scheme, and solves the problem that the traditional optimization method cannot give decision-making scheduling due to the uncertainty of intermittent energy output. Technical issues where personnel provide adequate decision support

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  • Multi-energy economic dispatching method based on multi-objective fuzzy optimization in active distribution network environment
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  • Multi-energy economic dispatching method based on multi-objective fuzzy optimization in active distribution network environment

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[0025] Combine below figure 1 The technical solution of the invention is described in detail.

[0026] (1) Establishment of multi-energy multi-objective economic optimization dispatching model

[0027] In the active distribution network environment, large-scale distributed energy access makes multi-energy optimization present the characteristics of multi-objectives and multi-constraints. At the same time, it is necessary to aim at the minimum cost of power generation, pollution emissions, and switching times, and fully consider the various energy sources. A multi-energy multi-objective economic optimal dispatch model is established based on the output constraints, gradient rate constraints, load balance constraints, spinning reserve capacity, and electric vehicle charging and discharging constraints.

[0028] (1) Optimization goals:

[0029] Thermal power generation cost:

[0030]

[0031] Thermal power pollution emissions:

[0032]

[0033] Start and stop times of e...

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Abstract

The invention discloses a multi-objective fuzzy optimization multi-energy economic dispatching method under active distribution network environment, and belongs to the technical field of power system automation. The multi-objective fuzzy optimization method realizes optimization based on the Pareto theory for the multi-objective multi-constraint problem in the multi-energy optimization process under the active distribution network environment, and meanwhile, adds a fuzzy optimization mechanism in the optimization process for the uncertainty problem of intermittent energy in the active distribution network, so that an optimum Pareto fuzzy scheme set is obtained, and a reliable decision support is provided for dispatching personnel.

Description

technical field [0001] The invention discloses a multi-objective fuzzy-optimized multi-energy economic scheduling method in an active distribution network environment, which is especially suitable for the active distribution network environment with large-scale intermittent power supply access, and belongs to the technical field of power system automation. Background technique [0002] Due to the large-scale intermittent energy access in the active distribution network environment, the multi-energy optimization in the active distribution network presents the characteristics of multi-objective, multi-constraint and strong uncertainty. Traditional optimization methods cannot optimize multiple objectives at the same time, often only provide a single decision-making scheme, and cannot provide sufficient decision-making support for decision-making schedulers. At the same time, the traditional stochastic optimization method relies too much on the probability density function when ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/46
CPCH02J3/46H02J2203/20
Inventor 张慧峰岳东单延逍解相朋胡松林翁盛煊
Owner NANJING UNIV OF POSTS & TELECOMM
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