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An economic dispatch method for power system based on fruit fly optimization algorithm

A fruit fly optimization algorithm and power system technology, applied in system integration technology, information technology support system, computing, etc., can solve problems such as the inability to balance global search capabilities and local search capabilities, and the inability to obtain power system parameter values

Active Publication Date: 2021-09-10
XIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the fruit fly optimization algorithm is used in the field of power system economic dispatch, the search radius of the causal fruit fly optimization algorithm is a definite value, which cannot balance its global search ability and local search ability, so the optimal power system parameter value cannot be obtained

Method used

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  • An economic dispatch method for power system based on fruit fly optimization algorithm
  • An economic dispatch method for power system based on fruit fly optimization algorithm
  • An economic dispatch method for power system based on fruit fly optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0115] Three test systems with different characteristics of IEEE6, IEEE40 and IEEE10 are optimized by using the fruit fly optimization algorithm and compared with the existing optimization results.

[0116] Table 1 Relevant test data of IEEE6 test system 1

[0117]

[0118] Table 2 Relevant test data of IEEE6 test system 2

[0119]

[0120] Table 3 IEEE6 machine test system network loss data

[0121]

[0122] B oi = 1.0e -03* [-0.3908 -0.1297 0.7047 0.0591 0.2161 -0.6635],

[0123] B oo =0.056.

[0124] Calculation example 1 takes the IEEE6 computer test system as an example, and the system data are shown in Table 1, Table 2 and Table 3. The total load of the system is 1260MW, and each unit has an upper and lower output limit and two sets of operating restricted areas, taking into account network loss. Due to the upper and lower limits of the unit output and the constraints of the restricted area, the solution space of the test system is discontinuous and non-c...

Embodiment 3

[0137] Table 8 IEEE10 machine dynamic test system data

[0138]

[0139] Table 9 Loads of each section of EEE10 machine dynamic test system

[0140]

[0141] Taking the IEEE10 machine dynamic test system as an example, see Table 8 and Table 9 for system data and load at each time period. Taking into account the valve point effect, ignoring the network loss. The test system was optimized 50 times. Table 10 is a comparison of the statistical results of different algorithm optimizations. The average value of the statistical results is also used as an indicator to measure the pros and cons of the algorithms.

[0142] Table 10 Comparison of statistical results of different algorithms

[0143]

[0144]

[0145] It can be seen from Table 4 that under the same precision requirements, the optimal solutions of MIQCQP, CSA, λ-Consensus, BBO, and HCRO-DE are 15443.07USD, 15443.08USD, 15452.09USD, 15443.0963USD, 15443.0750USD, respectively, They are all greater than the opti...

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Abstract

The invention discloses a power system economic scheduling method based on the fruit fly optimization algorithm. Specifically, according to the optimization goal of minimizing the operation cost of the power system as follows, the objective function is established; the constraint conditions for the operation of the power system are established; according to the fruit fly optimization algorithm, The step of calculating the minimum value of the objective function under the constraints of the constraint conditions to obtain the minimum operating cost of the power system is carried out. The present invention is an economic dispatching method of electric power system based on the fruit fly optimization algorithm, which adopts only adaptive parameters to adjust the search radius, which can take into account the global search ability and local search ability of the fruit fly algorithm, and obtain the power system under the normal operation of the power system. Lowest daily running costs.

Description

technical field [0001] The invention belongs to the technical field of electric power dispatching methods, and relates to an economical dispatching method of electric power system based on fruit fly optimization algorithm. Background technique [0002] The purpose of power system economic dispatch is to minimize the cost of power generation under the condition of meeting load requirements and many constraints. Due to the characteristics of the power system economic dispatch problem and the need to consider many constraints, this problem has the characteristics of high dimension, non-convex, discrete, multi-constraint, and many local minima, which greatly increases the difficulty of finding the optimal solution. [0003] Early traditional algorithms such as linear programming, Lagrangian multiplication, etc. have strict requirements on the solution model, so it is difficult to effectively deal with more complex economic scheduling problems. Subsequently, intelligent optimiza...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/00
CPCG06N3/006G06Q10/04G06Q10/0637G06Q50/06Y02E40/70Y04S10/50
Inventor 贾嵘梁嘉翔王开艳张恵智
Owner XIAN UNIV OF TECH
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