ESS State-of-Charge Control for Forecast-Based Grid Power Dispatch
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Solution Overview
Problem
Existing studies and models are ineffective in providing specific insights into the appropriate state of charge (SOC) operation specifications for energy storage systems (ESS) used in conjunction with specific energy applications on the grid, and third-party optimization packages are costly and unable to integrate with legacy digital tools, failing to couple operating modes with economic metrics for optimal energy and power characteristics.
Innovation Solution
A power controller is introduced to efficiently manage the SOC operations of an ESS by acquiring historical, present, and forecast data to determine the optimal charging and discharging states based on load demand and power generation supply, using a collection module, calculation module, sorting module, and adjustment module to adjust the SOC within designated time windows, ensuring optimal energy storage system performance and minimizing degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If third-party optimization packages are used to determine SOC operation specifications, then optimization capability is improved, but cost increases and integration with legacy digital tools becomes impossible
Solution Approach 1:
The patent introduces a legacy digital tool as an intermediary system that bridges the gap between existing ESS operations and optimization needs. This tool integrates with current grid infrastructure while incorporating optimization algorithms, avoiding the need for expensive third-party packages and enabling seamless communication between control systems and legacy infrastructure.
Solution Approach 2:
The legacy digital tool is designed to perform multiple functions: it determines SOC operation specifications, integrates with existing digital tools, provides optimization capabilities, and communicates with various grid components. This multi-functional approach eliminates the need for separate specialized optimization packages.
2Productivity
If ESS operates without optimized SOC management, then operational simplicity is maintained, but operational efficiency and financial returns decrease
Solution Approach 1:
The system enables ESS to self-optimize its SOC operations by automatically determining charging and discharging specifications based on integrated data from multiple sources. The legacy digital tool autonomously calculates optimal SOC ranges and operates without requiring external third-party optimization packages, allowing the system to serve itself while maintaining simplicity.
3Adaptability or versatility
If ESS provides multiple energy applications simultaneously, then financial returns and grid benefits are improved, but system control complexity increases
Solution Approach 1:
The patent segments the control of different ESS applications into distinct modules within the legacy digital tool. Each application (frequency regulation, energy arbitrage, capacity deferral, etc.) has its own control logic and SOC specifications, allowing independent optimization of each function while maintaining overall system coordination through the integrated platform.
Data Source
AI summary
According to some embodiments, system and method are provided comprising determining a maximum storage capacity of an energy storage system for a time window; performing a first sort of cycles by sorting in numerical order according to a ratio of a load demand to a total available power from a power generation system at each cycle of time window; assigning a unique, charge priority to each cycle; determining, starting from a highest charge priority, a charge power for each cycle until a total charge power satisfies the maximum storage capacity; determining, starting from a lowest sorted charge priority, an available discharge power for each cycle until a total discharge power exceeds the maximum storage capacity; performing a second sort in a temporal order of the cycles; determining, starting from an earliest cycle, an available state-of-charge (SOC) and adjusting the SOC of the energy storage system for each cycle.