Mode-Based Energy Storage Control for Forecast-Robust Scheduling
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Solution Overview
Problem
Existing energy storage management systems face challenges in accurately determining when to charge and discharge energy storage devices, especially due to inaccuracies in load and renewable energy forecasts, which affect their optimal operation and efficiency in residential applications.
Innovation Solution
A method and system that utilize a controller to determine an operating schedule for energy storage devices based on initial and updated costs, derived from load and renewable energy profiles, to identify and operate in predefined modes, minimizing forecasting errors and optimizing performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If optimization-based approaches are used for energy storage management, then performance is improved, but the system requires accurate load and PV forecasts which are difficult to obtain
Solution Approach 1:
The system performs preliminary classification of operating modes based on forecasted conditions before actual operation occurs. By pre-defining operating modes and their corresponding control strategies, the system prepares in advance for different scenarios, reducing the impact of forecast inaccuracies when real-time decisions are needed.
Solution Approach 2:
The system dynamically adjusts operating modes based on real-time conditions and forecast updates. Rather than relying on a single static optimization schedule, the system can transition between different pre-defined modes as new information becomes available, making the control adaptable to forecast errors and changing conditions.
2Reliability
If multi-stage algorithms are used to develop optimal schedules, then the system can adjust to forecast inaccuracies, but the device complexity increases
Solution Approach 1:
The control problem is segmented into distinct operating modes, each with specific charge/discharge strategies. Instead of using a complex continuous optimization algorithm, the system divides the control space into discrete modes (e.g., charge mode, discharge mode, idle mode) that can be selected based on simple criteria, reducing computational complexity while maintaining adaptability.
Solution Approach 2:
The system uses simple, computationally inexpensive mode selection criteria rather than complex multi-stage optimization algorithms. Each operating mode represents a simplified control strategy that can be quickly evaluated and switched between, replacing the need for expensive and complex real-time optimization computations.
3Productivity
If energy storage control is customized for each user and utility rate structure, then optimization performance is improved, but the ease of operation decreases
Solution Approach 1:
The operating mode framework is designed to be universally applicable across different users and utility rate structures. By defining generic operating modes (charge, discharge, idle) with parameterizable thresholds and criteria, the same basic control structure can be adapted to various applications without requiring completely custom algorithms for each case.
Solution Approach 2:
The system achieves customization through parameter adjustment rather than structural modification. Different users and rate structures are accommodated by changing parameters such as cost thresholds, power limits, and mode selection criteria within the same operating mode framework, making the system easy to operate while maintaining optimization performance.
Data Source
AI summary
A method, system, and device for controlling an energy storage device are provided. The method includes determining an operating schedule for the energy storage device based on at least an initial cost. The initial cost is a function of at least a load profile and a power production profile of at least one renewable energy source associated with the energy storage device. The operating schedule is for a predetermined period. The method further includes determining an updated cost based on at least the operating schedule, identifying an operating mode from a plurality of operating modes for a predetermined operating period based on the updated cost and the operating schedule; and operating using the operating mode for the predetermined operating period.