Grid Spinning Reserve Losses Solar Forecasting
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Solution Overview
Problem
Power grids face inefficiencies due to maintaining conservative spinning reserve margins in non-solar power generators, which operate below peak capacity to meet peak demand, resulting in grid spinning reserve losses.
Innovation Solution
An electric power system that determines the spinning reserve margin and near-term solar generation capability, adjusting non-solar power generator output based on solar generation and spinning reserve forecast requirements to optimize power generation and reduce reserve margins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If spinning reserve margin is maintained at conservative levels to meet peak demand, then reliability is improved, but energy efficiency deteriorates due to operating below peak capacity
Solution Approach 1:
The system performs preliminary actions by forecasting solar generation capability using atmospheric factors (cloud cover, aerosol content, water vapor) before peak demand occurs. This allows non-solar generators to be pre-positioned at optimal output levels, maintaining reliability while minimizing inefficiency from conservative spinning reserve margins.
Solution Approach 2:
The system implements feedback by continuously monitoring atmospheric conditions and solar generation performance, then adjusting non-solar generator output in real-time. This closed-loop control allows the system to maintain adequate spinning reserve while optimizing generator efficiency based on actual solar performance and forecasted conditions.
2Reliability
If non-solar power generators operate below peak capacity to maintain spinning reserve, then reliability is improved, but productivity deteriorates due to reduced power generation efficiency
Solution Approach 1:
The system applies dynamics by making generator output adjustable and responsive to changing conditions. Instead of static conservative positioning, non-solar generators dynamically adjust their output based on real-time atmospheric forecasts and actual solar performance, optimizing the balance between reliability and productivity.
Solution Approach 2:
The system changes operating parameters by adjusting generator output levels based on forecasted atmospheric conditions and actual solar generation. This allows the system to move away from fixed conservative spinning reserve margins toward optimized operating points that improve productivity while maintaining reliability.
3Loss of energy
If solar generation capability is maximized by reducing atmospheric interference, then energy efficiency is improved, but adaptability deteriorates due to dependence on weather conditions
Solution Approach 1:
The system performs preliminary forecasting of atmospheric factors (cloud cover, aerosol content, water vapor) that affect solar generation. This advance information allows the system to prepare appropriate responses, maintaining adaptability while maximizing solar efficiency by anticipating and compensating for weather-related variations.
Solution Approach 2:
The system uses feedback from atmospheric monitoring and solar performance data to continuously adjust non-solar generator output. This real-time adaptation maintains system reliability while maximizing solar utilization, compensating for weather variability through coordinated generation adjustments.
Data Source
AI summary
A system and method to preemptively adjust power generation of one or more non-solar power generators based on near term solar generation capability, spinning reserve margin, and/or power grid spinning reserve forecast requirements to offset solar power generation based on geospatial regional solar conditions.