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Chaos particle swarm based thermal power unit load optimal distribution method

A technology of chaotic particle swarm and load optimization, applied in instruments, data processing applications, forecasting, etc., can solve problems such as inflexibility of use, and achieve the effect of reducing coal consumption

Active Publication Date: 2015-08-19
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

Although its principle is simple, it requires the unit energy consumption characteristic curve to be smooth and continuous and to be a convex set; the dynamic programming method is based on the Bellman optimization principle, transforming a multi-stage optimal strategy problem into a series of single-stage final decision-making problems to solve. However, it is difficult to take into account the constraints of actual constraints and the rate of change of unit power, and it is not flexible enough to use

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  • Chaos particle swarm based thermal power unit load optimal distribution method
  • Chaos particle swarm based thermal power unit load optimal distribution method
  • Chaos particle swarm based thermal power unit load optimal distribution method

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[0026] 1. Mathematical modeling based on penalty function

[0027] 1. Practical problems faced by thermal power units:

[0028] Such as figure 1 The flow chart of a thermal power unit load optimization method based on chaotic particle swarm optimization algorithm is shown. According to the coal consumption characteristics of the units, the functional relationship F(P) between the power generation P of each unit unit and the standard coal consumption F is established through thermodynamic experiments. There are distributed control system DCS and plant-level monitoring information system SIS, which collect the measuring point parameters required for optimal allocation of generator sets,

[0029] F=F(P) (1)

[0030] In the formula, P is the power generation, the unit is MW; F is the standard coal consumption, the unit is t / h.

[0031] The discrete data points of the standard coal consumption F and the active power P of power generation are obtained through thermal experiments....

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Abstract

The invention relates to a chaos particle swarm based thermal power unit load optimal distribution method, which comprises the steps of fitting a coal consumption characteristic curve according to coal consumption characteristic parameters of a power generating unit, establishing a load optimal distribution model, converting the load optimal distribution model into a non-restraint problem through a penalty function method, distributing the total generation power to each unit by being combined with a chaos particle swarm algorithm, and finally acquiring an optimal load distribution result of each unit. Compared with the prior art, the method provided by the invention can distribute the optimal output point of each power generating unit scientifically and reasonably under the given total generation power, thereby enabling power supply coal consumption of the unit after optimization to be obviously reduced.

Description

technical field [0001] The invention relates to thermal power plant unit load optimization technology, in particular to a thermal power unit load optimization distribution method based on chaotic particle swarm. Background technique [0002] With the implementation of "separation of factories and grids, online bidding" and the marketization of the electric power industry, the competition between the electric power industries has increased. Under the conditions of limited fuel and load orders, enterprises with lower standard coal consumption will be awarded more economic benefits. The plant-level load optimization distribution is based on the operation status of the main and auxiliary equipment of the entire plant, the operating efficiency and coal consumption of each unit, and under the condition of ensuring the safety of the power grid, the optimal load allocation is carried out with the goal of maximizing the profit of the entire plant. It is of great research significanc...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 彭道刚黄丽顾立群张浩夏飞罗志疆张楠赵寒梅
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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