Offshore Aquaculture Wind Power Scheduling for Stable Device Supply
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The instability and unpredictability of wind energy in offshore aquaculture areas pose challenges for stable power supply, affecting the operation of key facilities and potentially harming cultured organisms.
Innovation Solution
A method and system that utilize wind energy by predicting future power time series and electricity consumption, determining power shortages, and sequencing electric devices based on priorities to optimize energy utilization and distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If wind energy is utilized for power supply in offshore aquaculture areas, then renewable energy usage is improved, but power supply stability deteriorates due to wind energy instability and unpredictability
Solution Approach 1:
The system performs preliminary actions by predicting future wind energy power output and electricity consumption requirements in advance. The prediction models forecast wind power generation and load demands, enabling the scheduling system to proactively plan power distribution before actual power shortages occur, thus maintaining reliability while utilizing wind energy
Solution Approach 2:
The system implements dynamic power distribution scheduling that continuously adjusts power allocation based on real-time and predicted wind energy availability and consumption needs. The scheduling strategy dynamically sequences electric devices and adjusts their operation timing to match variable wind power supply conditions, resolving the contradiction between renewable energy utilization and power stability
2Adaptability or versatility
If wind power generators are used, then renewable energy adoption is improved, but power supply intermittency worsens, affecting operating efficiency of electric devices
Solution Approach 1:
The system performs preliminary scheduling of electric devices based on predicted wind power generation patterns. By forecasting when wind energy will be available, the system pre-arranges device operation sequences to maximize utilization of wind power before it becomes intermittent or unavailable, thereby maintaining productivity while adopting renewable energy
Solution Approach 2:
The system implements periodic operation schedules for electric devices that align with predicted wind energy cycles. Devices are activated in periodic sequences matched to forecasted wind power availability periods, ensuring continuous productivity despite the intermittent nature of wind power generation
3Loss of energy
If wind energy power is insufficient to meet electricity consumption, then energy self-sufficiency deteriorates, but device operation stability worsens due to potential power shortages
Solution Approach 1:
The system performs preliminary assessment of power shortage scenarios by comparing predicted wind energy output with forecasted electricity consumption. It proactively identifies potential deficits and pre-arranges device scheduling to prevent actual power shortages, maintaining both energy self-sufficiency and operational stability
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor actual wind power generation versus consumption patterns. The scheduling strategy adjusts based on feedback from prediction accuracy and actual power balance conditions, optimizing device operation sequences to maintain stability even when energy self-sufficiency fluctuates
Data Source
AI summary
Disclosed are a method and system for utilizing wind energy in mariculture. The method includes performing fitting on a wind energy power time series and a historical actual wind energy power time series, obtaining a historical fitted wind energy power time series, inputting the historical fitted wind energy power time series into a wind energy power prediction model, and outputting a future wind energy power time series; inputting an obtained historical electricity consumption time series into an electricity consumption prediction model, and outputting a future electricity consumption time series; determining a future wind energy power shortage time series; and sequencing all electric devices in an offshore aquaculture platform based on priorities, obtaining an electric device sequence, and generating an electric device electricity consumption distribution strategy based on the future wind energy power shortage time series and the electric device sequence.