Predictive State of Charge Control for Renewable Energy Storage
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Solution Overview
Problem
Current control schemes for energy storage systems in renewable energy systems do not fully utilize the maximum available capacity, leading to insufficient energy storage to support output power requirements, necessitating larger and more expensive systems to accommodate transients.
Innovation Solution
A control system that adjusts the state of charge setpoint for energy storage systems based on anticipated weather conditions, predicting future output requirements and optimizing the state of charge to ensure steady energy production, allowing smaller energy storage systems to meet demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the state of charge is maintained below maximum capacity to allow absorption or delivery of energy as needed, then the energy storage system can respond to transient conditions, but the system lacks sufficient stored energy to support desired output power during extended periods
Solution Approach 1:
The control system performs preliminary action by predicting future weather conditions and adjusting the state of charge setpoint in advance. When favorable weather conditions are anticipated, the system proactively charges the energy storage system to higher state of charge levels before power deficits occur, ensuring sufficient energy is available when needed without requiring larger storage capacity
Solution Approach 2:
The invention applies dynamics by making the state of charge setpoint adjustable and adaptive rather than fixed. The control system dynamically modifies the setpoint based on real-time weather forecasts and predictions, allowing the system to optimize between maintaining reliability and minimizing storage capacity requirements under varying operating conditions
2Reliability
If larger energy storage systems are used to accommodate transients and ensure sufficient energy availability, then the system can support output power requirements, but the cost and system size increase
Solution Approach 1:
By predicting favorable weather conditions in advance, the system proactively stores energy before transients occur, eliminating the need for oversized storage systems. The control system charges the energy storage system to maximum or near-maximum state of charge when weather forecasts indicate upcoming generation deficits, ensuring sufficient energy availability with appropriately sized storage
Solution Approach 2:
The invention changes the operational parameters of the energy storage system by dynamically adjusting the state of charge setpoint based on weather predictions. This allows the system to operate at higher state of charge levels strategically rather than maintaining a fixed conservative setpoint, optimizing the balance between reliability and storage system size
Data Source
AI summary
Systems and methods for controlling the state of charge of an energy storage system used in conjunction with a renewable energy source or other power generation system are provided. More particularly, a future output requirement of the energy storage system can be predicted based at least in part on data indicative of anticipated conditions, such as weather conditions, wake conditions, or other suitable conditions. A control system can adjust a state of charge setpoint from a nominal setpoint (e.g. 50%) to an adjusted setpoint based at least in part on the future output requirement. In this way, the energy storage system can better accommodate the output requirements of the energy storage system during varying weather conditions.