Configuration Optimization Method for DC Microgrid Photovoltaic-Wind Energy System Considering Cost and Reliability

Abstract

The invention provides a DC microgrid photovoltaic-wind energy system configuration optimizing method taking into account cost and reliability. The method includes steps of calculating cost (i) Cost and acquiring reliability A; solving A<PV>, A<Wind>, P<Cap> and Psi through minimization formula Cost and maximization formula DNM. Compared with a single-target optimization method, the method provided by the invention can obtain a more optimized configuration structure when taking into account equipment cost and energy acquisition reliability and is suitable for a grid connected mode and an isletmode.

Description

technical field The invention belongs to the field of electric energy, and in particular relates to a configuration optimization method for a DC micro-grid photovoltaic-wind energy system that takes cost and reliability into consideration. Background technique Against the backdrop of increasingly prominent energy and environmental issues, the world is setting off a green wave, and energy conservation and emission reduction has become the focus of world attention. Using "time" and "geography" to integrate the clean energy advantages of distributed power generation, and to connect renewable clean energy such as solar energy and wind energy to the distribution network in a stable and large-scale manner is a technology that reduces traditional energy consumption in the power field and helps energy conservation and emission reduction. The only choice for development strategy. After large-scale new energy, the structural form, operating characteristics and control methods of the ...

AI Technical Summary

Problems solved by technology

However, the cost of equipment and the reliability of energy sources are still the main factors hindering the popularization and application of microgrids

At present, there are single-objective optimization algorithms for reducing equipment costs or improving energy reliability, but there are few optimization methods for the configuration of photovoltaic-wind energy hybrid systems that take into account two factors at the same time

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