Probability maximum load margin multi-target optimization model of electrical coupling system and solving method of optimization model

A multi-objective optimization and probability-maximizing technology, which is applied in general control systems, control/regulation systems, instruments, etc., can solve problems such as research on multi-objective optimization model solution methods for multi-objective optimization models with probability of multi-energy flow and maximum load margin

Inactive Publication Date: 2018-09-28
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

Although these studies have achieved certain results in the modeling of multi-energy flow network and its solution algorithm, there is no res

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  • Probability maximum load margin multi-target optimization model of electrical coupling system and solving method of optimization model
  • Probability maximum load margin multi-target optimization model of electrical coupling system and solving method of optimization model
  • Probability maximum load margin multi-target optimization model of electrical coupling system and solving method of optimization model

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Embodiment Construction

[0011] The present invention comprises the following steps:

[0012] Step 1: Propose a multi-objective optimization model based on the probability maximum load margin of the electric-pneumatic coupling system;

[0013] (1) Objective function

[0014] max{λ e ,λ g}

[0015]

[0016] In the formula, λ is the load parameter, where λ e ,λ g are the load parameters of the electric power system and the natural gas system, respectively. λ=0 is the load level of the original operating point, λ e ,λ g The maximum of is respectively the load parameter of the electric power system and the natural gas system at the critical point. P Lei is the load level of the original operating point of the power system, f lgi is the load level of the original operating point of the natural gas network system. P Leimax is the maximum load capacity of the power system load node, f lgimax is the maximum load capacity of load nodes in the natural gas network system.

[0017] (2) Constraint...

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Abstract

The invention discloses a probability maximum load margin multi-target optimization model of an electrical coupling system and a solving method of the optimization model, and relates to the field of multi-energy-flow system operation control. The method includes the following steps that the power system maximum load margin and the natural gas system maximum load margin of the electrical coupling system serve as multiple targets, the uncertainty of wind power input is considered, constraint conditions of a power network, a natural gas network and an EH are considered, and a mathematical model of probability maximum load margin multi-target optimization of the electrical coupling system is established; the multi-target optimization model is solved on the basis of SRSM, the Newton method, NSGA-II and the maximum satisfaction decision mixed algorithm, and the optimal compromise scheduling strategy, corresponding flow distribution and other data information are obtained. The method is suitable for the development trend of energy interconnection, and can ensure the high-efficiency and environment-friendly operation of a multi-energy-flow system.

Description

technical field [0001] The invention relates to an electric-pneumatic coupled system probability maximum load margin multi-objective optimization model and a solution method thereof, belonging to the field of multi-energy flow system operation control. Background technique [0002] With the increasingly serious energy crisis and the large demand for energy such as electricity and natural gas, the continuous development of multi-energy flow coupling has made it difficult to directly apply the traditional single-energy flow system method. In addition, the wind power output is affected by the wind speed and has uncertain characteristics such as intermittent and volatility. In order to ensure the efficient operation of the multi-energy flow system, in the optimization problem of the electrical coupling system including the wind power system, the wind power uncertainty The analysis and multi-objective optimization modeling of probabilistic maximum load margin for electrically cou...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 马瑞秦佳倩颜宏文
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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