Coordinated Peak Shaving for Renewable Grid Fluctuation Balancing
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Solution Overview
Problem
Large-scale integration of renewable energy sources poses challenges for regional power grids in peak shaving due to fluctuating power output and load curves, necessitating a coordinated optimization strategy to maximize accommodation and ensure safe system operation.
Innovation Solution
A coordinated optimization peak shaving method is developed, involving determining weekly electricity quantities, predicting energy and load curves, establishing an optimization model, and using a branch and bound algorithm to determine unit combinations, ensuring peak shaving capability while minimizing thermal power generator startups and shutdowns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If large-scale renewable energy sources are integrated into the power grid, then renewable energy accommodation is improved, but peak shaving capability deteriorates due to fluctuating power output aligning with load curves
Solution Approach 1:
The patent performs preliminary prediction of renewable energy output and load curves before peak shaving operations. By forecasting the fluctuating power generation of renewable sources and corresponding load demands in advance, the system can pre-arrange thermal power generator schedules and hydropower dispatch strategies to ensure peak shaving capability is maintained despite renewable energy integration
Solution Approach 2:
The patent introduces hydropower as an intermediary resource between renewable energy sources and thermal power generators. Hydropower serves as a flexible mediator that can quickly adjust output to compensate for renewable fluctuations, allowing thermal plants to operate more steadily while maintaining overall grid reliability and peak shaving capability
2Ease of operation
If external transmission curves are tracked to manage peak demand, then load balancing is improved, but renewable energy accommodation deteriorates due to similar characteristics between transmission and load curves
Solution Approach 1:
The patent performs preliminary prediction of renewable energy output and load curves before peak shaving operations. By forecasting the fluctuating power generation of renewable sources and corresponding load demands in advance, the system can pre-arrange thermal power generator schedules and hydropower dispatch strategies to ensure peak shaving capability is maintained despite renewable energy integration
Solution Approach 2:
The patent employs dynamic optimization that adapts to real-time conditions. The peak shaving strategy is not fixed but dynamically adjusted based on predicted renewable output and load characteristics, allowing the system to flexibly accommodate varying renewable penetration levels while maintaining load balance through coordinated thermal and hydropower dispatch
Data Source
AI summary
Disclosed is a coordinated peak shaving optimization method for a plurality of power supplies based on a fluctuation characteristic of a renewable energy source, including the following steps: s1: determining a weekly generated electricity quantity of hydropower based on an available capacity and a storage capacity of an electricity quantity; s2: predicting a renewable energy power generation curve and a load curve of a system weekly; s3: determining a start point of peak shaving of the hydropower based on an external transmission curve, the renewable energy generation curve, and the load curve of the system and a generating capacity of the hydropower; s4: determining a weekly peak shaving demand of the system; and s5: establishing an optimization model with a maximum peak shaving demand. The present disclosure proposes a reasonable arrangement for peak shaving, so as to resolve an accommodation problem caused by large-scale access of a renewable energy source.