Micro-grid Multi-energy Scheduling via CCHP and Ice-storage
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Solution Overview
Problem
Current energy management systems in micro-grids face inefficiencies due to separate systems for heat and cooling demands, leading to high peak loads and energy waste, especially in regions like China where cooling demand accounts for over 40% of total power load, causing significant strain on power supply and increased energy utilization costs.
Innovation Solution
An integrated multi-energy scheduling control system for micro-grids that combines Combined Cooling Heating and Power (CCHP) units and ice-storage air conditioners, using predictive analytics and Particle Swarm Optimization (PSO) algorithms to optimize electricity and cooling energy supply/demand balance, determining optimal operation modes and energy exchanges with macro-grids, thereby minimizing operational costs and enhancing energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If separate systems are used for heat and cooling demands in micro-grids, then system simplicity is maintained, but energy efficiency deteriorates and peak loads increase
Solution Approach 1:
The patent combines separate heat and cooling systems into an integrated multi-energy scheduling control system that coordinates CCHP units, ice-storage air conditioners, and macro-grid interactions. This merging allows simultaneous optimization of heating and cooling energy flows, reducing waste and improving overall energy efficiency while managing peak loads through coordinated control.
2Reliability
If cooling demand is met through traditional air conditioners, then cooling supply is achieved, but peak load increases significantly
Solution Approach 1:
The patent implements ice-storage air conditioners that produce and store ice during off-peak hours when electricity demand is low. During peak cooling demand periods, the stored ice is melted to provide cooling, thereby avoiding the need to run high-power air conditioners during peak load periods. This preliminary action effectively shifts cooling load from peak to off-peak times, reducing peak power demand while maintaining reliable cooling supply.
3Ease of operation
If CCHP units operate independently without integrated control, then operational simplicity is maintained, but energy utilization efficiency deteriorates
Solution Approach 1:
The patent implements an integrated multi-energy scheduling control system that uses predictive analytics and real-time monitoring to optimize CCHP unit operation. The system continuously monitors energy demands, renewable energy output, and system performance, then adjusts CCHP operation to maximize energy utilization efficiency. This feedback-based coordinated control optimizes the interaction between CCHP units, ice-storage air conditioners, and macro-grid exchanges, achieving high energy efficiency without sacrificing operational simplicity.
Data Source
AI summary
A system provides integrated multi-energy scheduling control in a micro-grid. The micro-grid may comprise a combined cooling, heating and power CCHP unit and an ice-storage air conditioner. In embodiments, an integrated multi-energy scheduling control process for operation in the micro-grid is performed, based on the predicted electricity demand and cooling demand and the predicted renewable energy output, under process constraints to determine the amount of electricity exchanged between the micro-grid and a macro-grid, cooling power output and electricity output of the CCHP unit, and operation modes and cooling power output of the ice-storage air conditioner in time intervals in a scheduling period, wherein electricity supply/demand balance and cooling energy supply/demand balance are coupled. The system may achieve multi-energy supply/demand balance at a minimized operational cost, and may achieve a high energy efficiency of both the CCHP units and a high performance of the ice-storage air conditioner.