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Improved quantum-behaved particle swarm optimization algorithm-based multi-region economic dispatch method

A technology of quantum particle swarm and economic scheduling, applied in the field of multi-regional economic scheduling based on improved quantum particle swarm algorithm, can solve the problem of quantum particle swarm algorithm falling into local optimum, and achieve the effect of improving the effect of easily falling into local optimum

Inactive Publication Date: 2016-09-28
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0005] The embodiment of the present invention adopts the NW small world network to improve the quantum particle swarm algorithm, thereby improving the shortcoming that the quantum particle swarm algorithm is easy to fall into local optimum in the optimization process

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  • Improved quantum-behaved particle swarm optimization algorithm-based multi-region economic dispatch method
  • Improved quantum-behaved particle swarm optimization algorithm-based multi-region economic dispatch method
  • Improved quantum-behaved particle swarm optimization algorithm-based multi-region economic dispatch method

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Embodiment Construction

[0052] The present invention proposes a method for solving the economic dispatching problem of multi-area electric power system: Small World Quantum Particle Swarm Algorithm (NWQPSO). The basic quantum particle swarm optimization (QPSO) is to search for the global optimal solution in the feasible solution space. This search method can improve the convergence effect of the algorithm to a certain extent, but this evolutionary method of convergence with probability will make There is a lack of particle diversity. When the algorithm converges to a certain accuracy, it cannot continue to optimize, and then falls into a local optimal solution. Introducing the NW small-world network into the QPSO algorithm enables the small-world quantum particle swarm optimization algorithm to maintain the diversity of the population while improving the shortcomings of the traditional quantum particle swarm optimization algorithm that is easy to fall into local optimum. Using this method can effecti...

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Abstract

The embodiment of the present invention discloses a multi-regional economic scheduling method based on the improved quantum particle swarm algorithm. The improvement of the quantum particle swarm algorithm by using the NW small world network can improve the shortcoming that the basic quantum particle swarm is easy to fall into a local optimum in the optimization process. The method in the embodiment of the present invention includes: S1: Establishing the objective function of the multi-regional economic scheduling problem; S2: Optimizing the objective function using the NW small-world network improved quantum particle swarm optimization algorithm, specifically including: S2-1: Population initialization; S2 ‑2: Build a small-world network and get the adjacency matrix; S2‑3: Update individuals and update the population; S2‑4: Calculate the fitness based on the updated population; S2‑5: Use the competition operator to adapt the parent particles Compared with the fitness of offspring particles, the one with better fitness is reserved as the parent of the next iteration; S2‑6: If the number of iterations calculated reaches the preset maximum number of iterations, calculate and output the multi-regional economic dispatch calculation If not, go to step S2‑2.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a multi-regional economic scheduling method based on an improved quantum particle swarm algorithm. Background technique [0002] Power system economic dispatch is the main content of energy management system (EMS). In some specific environments, it is conceptually equivalent to power generation plan. Power generation plan includes unit combination, hydrothermal power plan, exchange plan, maintenance plan and fuel plan, etc.; According to the cycle, there are: ultra-short-term plan, that is, automatic generation control (AGC), short-term power generation plan, that is, the plan of the day or week; medium-term power generation plan, that is, the plan and correction of months to years; long-term plan, that is, several years to decades plans, including power development planning and network development planning, etc. [0003] In power system operation, economic dispatch is an important ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/00
CPCG06Q10/04G06N3/006G06Q50/06
Inventor 李锦焙孟安波
Owner GUANGDONG UNIV OF TECH
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