Energy optimizing dispatching method of home hybrid power supply system in real-time power price environment

Abstract

The invention discloses an energy optimizing dispatching method of a home hybrid power supply system in a real-time power price environment. The energy optimizing dispatching method comprises the steps of establishing a flexible load working model according to a linear inequality constraint condition, obtaining electric energy matching between DG (distributed generation) and a load by use of a genetic algorithm (GA), performing automatic optimization by use of the information of the DG and the RTP (Real Time Price) and arranging the flexible load to operate at a lowest-price moment, developing a charge/discharge policy of an energy storage device to realize the energy re-planning of the DG, thereby satisfying the balance between supply and demand of the DG and the load, and finally, making up the difference between supply and demand in such a manner of supplying power to a storage battery or the load from a large power grid and reducing the power purchase cost to an utmost extent. The energy optimizing dispatching method of the home hybrid power supply system in the real-time power price environment provides detailed algorithm description for an actual smart home user as a test object; besides, the effectiveness of the developed policy in improving the utilization rate of the electric energy of the DG and the economic benefit of the user is proven through a series of experiments.

Description

technical field [0001] The invention relates to the fields of smart grid, distributed power generation and energy storage, and in particular to an energy optimization scheduling method for a home hybrid power supply system under a real-time electricity price environment. Background technique [0002] The operation of distributed energy (DG) such as small wind turbines and rooftop photovoltaic power generation on the home user side provides energy support for the power demand of electrical equipment. The comprehensive optimization of the distribution of DG capacity in the home system has become the research focus of demand response. However, since DG is easily affected by environmental factors such as wind speed and light intensity, its power supply has volatility, randomness, and intermittentness at different times. There are certain limitations in directly using the current production of DG to supply power to loads: on the one hand , when the DG power supply is sufficient, ...

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Problems solved by technology

However, since DG is easily affected by environmental factors such as wind speed and light intensity, its power supply has volatility, randomness, and intermittentness at different times. There are certain limitations in directly using the current production of DG to supply power to loads: on the one hand , when the DG power supply is sufficient, a large amount of excess electric energy cannot be fully utilized; on the other hand, when the DG power supply is insufficient, some loads will not be able to operate normally, reducing user satisfaction with power use

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