Capacity optimal configuration method of microgrid energy storage system

Abstract

The invention discloses a method for processing a constraint condition in a constraint optimization problem and updating a global optimal position and an optimal position of a particle swarm optimization algorithm. The research on a multi-objective optimization algorithm lays a solid foundation for the following research content. According to the capacity optimal configuration method, a multi-objective optimal configuration mathematical model for capacity of the microgrid energy storage system is established; aiming at the optimal power balance, the minimal renewable energy fluctuations and the lowest investment cost, the configuration of the microgrid energy storage system is analyzed from the perspectives of power amplitude limiting, discharge and charge management of the energy storagesystem and the like; and a multi-objective random optimal configuration model based on a Pareto optimal solution is given, thereby fully illustrating that the microgrid energy storage system optimal configuration strategy disclosed by the invention can effectively match a renewable energy resource with a balanced matching coefficient of a load, and effectively realize quantitative configuration ofthe microgrid energy storage system.

Description

technical field [0001] The invention belongs to the field of electric power, and in particular relates to a method for optimizing the capacity of a microgrid energy storage system. Background technique [0002] The microgrid is limited by its capacity and scale, and is easily affected by its internal distributed power supply and load fluctuations. This situation is especially obvious in the island operation of the microgrid. Therefore, the microgrid has problems such as large output power fluctuations and difficult control. , energy storage system (energy storage system, ESS), as an important part of microgrid, can provide solutions to these technical problems. ESS can effectively overcome the power fluctuation of distributed generation units and loads in microgrid. With the continuous development of distributed generation and microgrid technology, ESS will have a good and broad prospect because of its own characteristics. Nowadays, it is difficult for a single energy stora...

AI Technical Summary

Problems solved by technology

The optimization of energy storage capacity in microgrids at this stage is more about configuring the capacity of energy storage devices from the perspective of power, and the optimization algorithms used often only give optimization results and lack the ability to find the global optimum

Moreover, a variety of micro power sources, loads and energy storage are integrated in the micro grid. The output of various new energy power sources has certain fluctuations, and the state of components changes greatly, which brings additional problems to the optimal configuration of energy storage capacity.

[0007] Most of the multi-objective optimization algorithms currently used in micro-grid research cannot be evaluated from a quantitative perspective, so their rationality and guidance for practical engineering are open to discussion. Therefore, in terms of multi-objective optimization algorithms for energy storage configuration in micro-grids, There are still many fundamental issues to be further studied

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