Micro grid multi-objective optimization method based on Pareto file particle swarm optimization algorithm

Abstract

Aiming at the transformation of a micro grid multi-objective optimization problem into a single-objective optimization problem, the invention provides a micro grid multi-objective optimization methodbased on a Pareto file particle swarm optimization algorithm. The method includes the following steps: establishing multiple optimization objective functions; determining the constraint conditions ofa micro grid; transforming a multi-objective optimization problem represented by the optimization objective functions into a single-objective optimization problem; solving the micro grid multi-objective optimization problem using a Pareto file particle swarm optimization algorithm, and outputting a non-inferior solution set; and determining an optimal solution in the non-inferior solution set according to a preset satisfaction evaluation standard, and optimizing the operation of the micro grid. According to the invention, the output power of each distributed power supply and the charge/discharge of an energy storage device in the micro grid are optimized using the Pareto file multi-objective particle swarm optimization algorithm, external file maintenance and global best position selectionare combined, and the validity and feasibility of the algorithm are verified through a comparative analysis of optimization results.

Description

technical field [0001] The present invention relates to the technical field related to the optimization of micro-grid system's environmental protection and economic operation, in particular to a multi-objective optimization method of micro-grid based on Pareto archive particle swarm algorithm. Background technique [0002] In today's increasingly serious energy problems, distributed power generation technology using renewable energy has become the main direction of future energy development. The proposal of microgrid provides an effective way for distributed power to connect to the grid, which can greatly improve the The current state of power generation technology. Under the premise of meeting the load demand and system operation constraints, how to reasonably adjust the output of units such as distributed power sources and energy storage devices to achieve the goals of maximum energy utilization, minimum power generation cost, and the most environmentally friendly microgri...

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Problems solved by technology

[0006] In general, when the micro-grid multi-objective optimization problem is transformed into a single-objective optimization problem, and the AC-DC hybrid micro-grid including photovoltaic, diesel storage and load is the specific optimization object, there is rarely a better solution in the prior art. method, especially considering the optimal economic cost and environmental cost at the same time, and obtaining the output of each distributed power source corresponding to the optimal solution under different light intensities, which restricts the optimal operation of microgrid economy and environmental protection

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