Micro-grid power supply capacity optimization configuration method

Abstract

The invention provides a micro-grid power supply capacity optimization configuration method. An island micro-grid is taken as a research object, the influences of the charge and discharge depth and frequency of a lead acid battery on life are analyzed, the influence of the energy storage life of the lead acid battery on micro-grid power supply capacity optimization configuration and the influence of wind curtailment punitive cost, reliability constraints and the like on the micro-grid power supply capacity optimization configuration are taken into consideration, an established model is more comprehensive, and a micro-grid power supply capacity optimal configuration scheme obtained through solving the established micro-grid power supply capacity optimal configuration model by use of a genetic algorithm of linearity weight can help to improve utilization rate of power supply capacity configuration of a micro-grid system, reduce power supply configuration waste and decrease investment cost and operation cost of the micro-grid system; and at the same time, the operation process of the micro-grid power supply capacity optimization configuration method is quite simple, the versatility is quite good, and the method can be widely applied to micro-grid power supply configuration planning on different application occasions and has quite good market popularization and application values.

Description

technical field [0001] The invention relates to power system planning technology, in particular to a micro-grid power supply capacity optimization configuration method, which belongs to the field of power system planning. Background technique [0002] With the global energy crisis and environmental problems becoming increasingly prominent, new energy power generation represented by wind power has gradually become the focus of attention. Microgrid is a new type of network structure. It is a system unit that integrates a variety of distributed micro power sources (usually including wind turbines, micro gas turbines and lead-acid batteries), loads and control devices. It can be connected to the grid or isolated. Network mode transformation and operation to achieve efficient use of new energy. However, the single-machine input cost of distributed power in the microgrid is relatively high. If the power capacity of the microgrid is unreasonably configured, it will not only cause ...

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Problems solved by technology

At present, there have been some studies on the optimal allocation of microgrid capacity, but few studies have considered the influence of system reliability and excess electric energy, and the impact of battery life has not been considered in the optimal allocation of power capacity, so they have not been well understood. Combined with the actual situation, a relatively accurate optimal configuration plan for wind turbines, micro-gas turbines, and lead-acid batteries is obtained, so there are problems such as low utilization of power configuration, waste of power configuration, and high investment and operating costs

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