Static economic dispatching method for power system employing group experience-based artificial bee colony algorithm

An artificial bee colony algorithm and power system technology, which is applied in the field of static economic dispatch of power systems based on the artificial bee colony algorithm based on group experience, can solve the problems of weak local optimization ability, slow convergence speed, and weak global search ability.

Active Publication Date: 2016-05-25
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

Particle swarm algorithm and differential evolution algorithm have been widely used in static economic dispatching problems of power systems, but due to their fast convergence speed and weak global search ability, they are easy to fall into local optimum
In order to overcome this shortcoming, this patent adopts an artificial bee colony algorithm that is better at global search, but due to its strong global search ability, it leads to the defect of weak local optimization ability, so the convergence speed in the optimization process is slow

Method used

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  • Static economic dispatching method for power system employing group experience-based artificial bee colony algorithm
  • Static economic dispatching method for power system employing group experience-based artificial bee colony algorithm
  • Static economic dispatching method for power system employing group experience-based artificial bee colony algorithm

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Embodiment 1

[0098] In this embodiment, a total of 140 thermal power generation units are used, with a total load of 49342. For power supply parameters, see http: / / www3.ntu.edu.sg / home / epnsugan / , EABenchmarks / CECCompetitions / CEC11CompetitiononTestingEvolutionaryAlgorithmsonReal-worldNumericalOptimizationProblems / SoftwareinMatlab / Matlab / CEC_2011_Matlab / CEC_2011_Spl_Session / Probs_11_ELD_Package / ELDCodes / fn_ELD_140, the network loss in this embodiment is negligible.

[0099] The following table compares the optimization results of the three algorithms: particle swarm optimization, artificial bee colony algorithm, and artificial bee colony algorithm based on group experience:

[0100]

[0101] The invention improves the search strategies of the hired bees and the observed bees in the artificial bee colony algorithm, so that the hired bees can better balance the global search and local optimization, and the observed bees can focus on fine search. Compared with the standard particle swarm al...

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Abstract

The invention provides a static economic dispatching method for a power system employing a group experience-based artificial bee colony algorithm. Reasonable search strategies are designed aiming at the characteristics of employed bees and observed bees; and a current food source is updated by different search strategies according to continuously updated selective probability, so that balance of global search and local optimization is achieved. Static economic dispatching of the power system is determined by the method; and the optimized output levels of various sets in various periods and the minimum power generation cost are obtained.

Description

technical field [0001] The invention belongs to the field of economic dispatching methods for optimal operation of electric power systems, in particular to a static economic dispatching method for electric power systems based on group experience artificial bee colony algorithm. Background technique [0002] The rapid development of the power market has put forward new requirements for the operation and management of the power system. In order to improve the production efficiency of power plants and the economic benefits of the power system, the economic dispatch of the power system has become one of the key research issues. [0003] A good power system needs to ensure safe and reliable operation as the premise and pursue the goal of maximizing the economic benefits of the system. The economic dispatch of power system is divided into dynamic economic dispatch and static economic dispatch. Dynamic economic dispatch refers to optimizing the output of each unit within a certain...

Claims

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Application Information

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IPC IPC(8): H02J3/46G06Q10/06G06Q50/06
CPCG06Q10/06G06Q50/06H02J3/46Y02E40/70Y04S10/50
Inventor 岳东高浩师玉娇
Owner NANJING UNIV OF POSTS & TELECOMM
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