Method and system for optimizing operation of composite energy storage power station and storable medium

Abstract

The invention discloses a composite energy storage power station operation optimization method and system and a storable medium, and relates to the technical field of energy storage regulation, and the method comprises the steps: building an energy efficiency evaluation model and an energy efficiency prediction model of an energy storage subsystem; constructing a model prediction controller, and processing the energy efficiency evaluation model and the energy efficiency prediction model by using the model prediction controller at each sampling time interval to obtain a power distribution result; adjusting the composite energy storage power station by using the power distribution result; the method is suitable for the composite energy storage power station composed of different types of energy storage subsystems, and the high-efficiency operation method of the composite energy storage power station has good universality.

Description

technical field [0001] The invention relates to the technical field of energy storage regulation, and more particularly to a method, system and storage medium for optimizing the operation of a composite energy storage power station. Background technique [0002] At present, the composite energy storage power station is a system that combines different types of energy storage methods and optimizes the design to maximize the strengths and avoid weaknesses, so as to exert the performance that is difficult to achieve by a single energy storage method. [0003] The power distribution of different energy storage subsystems included in a composite energy storage power station is the core issue of its optimal control, but the existing optimal control technologies for composite energy storage power stations still have the following deficiencies: (1) Lack of versatility: on the one hand, optimal control The object is mainly for composite energy storage power stations composed of speci...

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Problems solved by technology

[0003] The power distribution of different energy storage subsystems contained in the composite energy storage power station is the core issue of its optimal control, but the existing optimization control technology of the composite energy storage power station still has the following deficiencies: (1) Lack of universality: on the one hand, the optimal control The object is mainly aimed at composite energy storage power stations composed of specific types of energy storage systems, typically composed of battery energy storage and flywheel energy storage or super capacitors; The effective response to demand is the focus, and there are also multi-objective optimizations aimed at reducing battery life loss, or taking both into account. The latter is not universal, and the lack of general performance index definitions for energy storage power stations is an important reason for the lack of versatility. Reasons; (2) Limitations of optimization algorithms: conventional optimization algorithms such as filtering algorithms and fuzzy control algorithms are mainly used to optimize the power distribution of different energy storage subsystems in a composite energy storage power station, which is essentially an optimization process based on fixed logic. The power allocation optimization problem of the composite energy storage power station with large randomness and nonlinear characteristics, the optimization ability of this type of control algorithm is limited by the logic design

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