Microgrid optimization operation method based on improved binary system particle swarm optimization algorithm

A technology of particle swarm optimization and optimized operation, applied in computing, computing models, instruments, etc., can solve problems such as the flight mode of the entire population has not been corrected, and the diversity of the population is poor

Inactive Publication Date: 2014-11-26
徐多
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Problems solved by technology

Aiming at the shortcomings of this algorithm, such as poor population diversity, easy premature convergence, and falling into local optimal solutions, domestic and foreign scholars have proposed corresponding improved algorithms, such as genetic particle full algorithm, simulated annealing algorithm particle swarm algorithm, fuzzy particle swarm algorithm, bee evolution type particle swarm algorithm, etc., but most of these algorithms only improve the position of a single particle or some particles, and the flight mode of the entire population has not been corrected.

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  • Microgrid optimization operation method based on improved binary system particle swarm optimization algorithm
  • Microgrid optimization operation method based on improved binary system particle swarm optimization algorithm
  • Microgrid optimization operation method based on improved binary system particle swarm optimization algorithm

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[0022] specific implementation plan

[0023] The flow chart of a micro-grid optimization operation method based on the improved binary particle swarm optimization algorithm of the present invention is as follows figure 1 shown, including the following steps:

[0024] (1) Collect microgrid load information data and meteorological information data, integrate the historical data of microgrid operation, and predict the future day to obtain the microgrid load, wind energy and solar power forecast data in the next day, and calculate the net load power ;

[0025] (2) Statistical characteristics of micro-grid and micro-power sources, and establish a mathematical model of the output of all controllable micro-power sources in the micro-grid;

[0026] (3) Divide the economic operation of the microgrid into 24 time periods in the future, and take the minimization of the power generation cost and environmental cost of the microgrid throughout the day as the objective function, considerin...

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Abstract

The invention relates to a microgrid optimization method based on an improved binary system particle swarm optimization algorithm. For a microgrid containing various micro power sources, taking start-stop strategies of controllable micro power sources into account, a microgrid optimization operation mathematical model considering economic costs and environmental benefits is established. An improved binary system particle swarm optimization algorithm based on a catfish effect is provided, output of the micro power sources in the microgrid in each period of time is solved under different control strategies. A specific microgrid including wind, light, a micro gas turbine, a fuel cell and a diesel generator is used as an embodiment, and embodiment analysis is performed.

Description

technical field [0001] The invention relates to microgrid optimization operation, in particular to a microgrid optimization operation method based on improved binary particle swarm optimization algorithm. Background technique [0002] Due to the energy crisis and environmental protection issues, distributed power generation including new energy and renewable energy has attracted increasing attention in the power energy industry. As an effective technical means for the integration and access of distributed power generation, microgrid improves the flexibility, controllability and economy of distributed power generation, and becomes an important technology for smart grid construction. [0003] The optimization operation of the microgrid is a complex nonlinear, multi-constraint, and multi-objective optimization problem. The traditional solution algorithm cannot meet the solution needs, and an intelligent optimization algorithm is usually used to solve it. The Binary Particle Sw...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/02G06N3/00
Inventor 徐多李涛董默
Owner 徐多
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