Multi-objective capacity optimization method for wind power-photovoltaic-heat storage combined power generation system

Abstract

The invention discloses a wind power-photovoltaic-heat storage combined power generation system that comprises a wind farm, a photovoltaic power station, an electric heater, a heat storage system anda power generation module; power generated by the wind farm shares a direct current bus with direct current generated by the photovoltaic power station after being rectified; the generated power passes an inverter and a booster substation and is connected with the power grid; the electric heater converts the electric energy exceeding the channel capacity in the wind farm and the photovoltaic powerstation into heat energy to be stored in the heat storage system, and when the output electric energy of the wind farm and the photovoltaic power station is insufficient in the channel capacity, theheat storage system releases the heat energy to push the power generation module to generate power and transmit the power to the power grid. The invention also discloses a multi-objective capacity optimization method of the system. The invention discloses the multi-target capacity optimization method for the wind power-photovoltaic-heat storage combined power generation system. The investment costof the combined power generation system can be effectively reduced, the channel utilization rate of the system is improved, and meanwhile, the Pareto frontier graph obtained by the multi-objective optimization method is more helpful for a decision maker to determine the optimal capacity ratio of the combined power generation system according to economy and reliability preferences.

Description

technical field [0001] The invention relates specifically to a multi-objective capacity optimization method for a wind power-photovoltaic-heat storage combined power generation system, and belongs to the technical field of energy optimization utilization. Background technique [0002] Wind power and photovoltaic power generation are currently the most widely used renewable energy power generation technologies, but due to the instability and randomness of wind resources and solar resources, the dispatchability and flexibility of individual wind farms or photovoltaic power stations are not as good as traditional thermal power generation, and its grid connection process will even affect the safe and stable operation of the grid. However, there is a natural negative correlation between wind and solar resources, so there is often a certain complementarity between wind power output and photovoltaic output, so the wind power-photovoltaic combined power generation system has a good ...

AI Technical Summary

Problems solved by technology

In general, solar thermal power plants are expensive to build, and the collector field accounts for 50% of the construction cost. There is an urgent need for a way to reduce the cost of the power generation system

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