Energy control system, method and device, and electronic equipment
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Solution Overview
Problem
Existing energy control systems in integrated systems of electricity generation, energy storage, and energy consumption, such as photovoltaic/energy storage/air conditioning systems, fail to effectively maximize comprehensive benefits due to passive consideration of energy consumption and peak/valley electricity prices, leading to suboptimal energy flow management.
Innovation Solution
An energy control system that includes a power generation equipment, energy storage equipment, and air conditioning equipment connected in parallel through a direct-current bus, with a weather server providing weather forecast information to an energy control device, which determines an optimal energy flowing configuration based on weather and system parameters to ensure maximum benefit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If passive consideration of energy consumption and peak/valley electricity prices is used for energy flowing control, then control simplicity is maintained, but comprehensive benefit maximization cannot be effectively ensured
Solution Approach 1:
The energy control device performs preliminary actions by acquiring weather forecast information in advance for a preset future time period, predicting power generation and consumption patterns before they occur. This enables the system to proactively optimize energy flow configuration rather than reactively responding to current conditions, thereby ensuring comprehensive benefit maximization while maintaining control system simplicity through automated forecasting-based decision-making
2Device complexity
If separate control based on power balance is used for daytime and nighttime, then control simplicity is maintained, but system-wide optimization is limited
Solution Approach 1:
The energy control device implements a universal control strategy that functions across all time periods (daytime, nighttime, and transitional periods) by continuously acquiring weather forecast information and dynamically optimizing energy flow configuration. This multi-functional approach replaces the need for separate daytime and nighttime control strategies, enabling system-wide optimization while maintaining control simplicity through a unified forecasting-based framework that adapts to varying conditions
Data Source
AI summary
Disclosed in the present disclosure are an energy control system, method and device, and electronic equipment. The energy control system includes a controlled system, an energy control device and a weather server. The controlled system includes power generation equipment, energy storage equipment and air conditioning equipment. The power generation equipment, the energy storage equipment and the air conditioning equipment are connected in parallel by means of a direct-current bus. The air conditioning equipment is also connected to an alternating-current power grid; and the energy control device is in communication connection with the controlled system and the weather server respectively, and is used to acquire weather forecast information in a preset future time period from the weather server and send an optimal energy flow configuration in the preset future time period to the controlled system.