Wind power, photovoltaic and heat storage combined thermoelectric system and capacity optimization modeling method

Abstract

The invention provides a wind power, photovoltaic and heat storage combined thermoelectric system and a capacity optimization modeling method. The wind power, photovoltaic and heat storage combined thermoelectric system is composed of a wind power plant, a photovoltaic power station, a heat storage system, a power generation module, an electric heater and a heat exchanger. When the wind power photovoltaic output is larger than the electric load demand, redundant electric energy is converted into heat energy through the electric heater and then stored in the heat storage system. Otherwise, theheat storage system releases heat energy to the power generation module for power supply. The heat load is provided by the heat storage system releasing heat energy to the heat exchanger. The capacityoptimization of the combined thermoelectric system aims at minimizing the leveling cost and maximizing the electrical load satisfaction rate, the thermal load satisfaction rate and the energy utilization rate, and an optimal solution is calculated by using a differential evolution algorithm after the capacity optimization is converted into a single-target optimization problem through weighted summation. The optimal capacity ratio under five groups of different weights is studied through case analysis, and result analysis shows that certain balance exists between optimization targets and the proposed system has good economy and reliability.

Description

technical field [0001] The invention belongs to the field of wind power and photovoltaic power generation, and in particular relates to a wind power, photovoltaic and heat storage combined thermoelectric system and a capacity optimization modeling method. Background technique [0002] The issue of global warming has received widespread attention from all walks of life. The development of renewable energy power generation technology helps to reduce the consumption of fossil energy and CO2 emissions, thereby effectively slowing down the process of "global warming". Wind power generation and photovoltaic power generation are currently the most mature renewable energy power generation technologies, but due to the randomness and intermittency of wind and light resources, the dispatchability and reliability of wind power photovoltaics are limited. However, there is a natural spatio-temporal complementarity between wind and solar resources, so the research on wind power-photovolta...

AI Technical Summary

Problems solved by technology

Wind power generation and photovoltaic power generation are currently the most mature renewable energy power generation technologies, but due to the randomness and intermittency of wind and light resources, the dispatchability and reliability of wind power photovoltaics are limited

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