Energy Storage Charge Scheduling for Dynamic Tariff and Load Changes
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Solution Overview
Problem
Existing methods for energy storage systems face efficiency loss and revenue reduction due to inflexible charge/discharge plans that do not account for dynamic changes in electricity rates and user load power.
Innovation Solution
A method that dynamically adjusts the charge/discharge plan by analyzing peak-valley electricity prices, load power predictions, and energy storage system charge levels, considering factors like ambient temperature and power conversion system efficiency, to optimize charging and discharging operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a preset charge/discharge plan is used in the energy storage system, then the system operates according to fixed power and charging/discharging amount during corresponding time periods, but efficiency loss and revenue reduction occur when rate periods are adjusted or user load power changes
Solution Approach 1:
The charge/discharge plan transitions from a static preset configuration to a dynamic optimization approach. The system continuously adjusts charging/discharging power and amounts based on real-time electricity prices, predicted user load power, and energy storage system charge levels, enabling the plan to adapt to changing rate periods and user demands while maximizing efficiency and revenue
Solution Approach 2:
The system implements a feedback mechanism by acquiring real-time electricity price information, predicted user load power, and energy storage system charge level information. This feedback loop enables the energy management system to continuously optimize the charge/discharge plan based on current system state and external conditions, resolving the contradiction between adaptability and productivity
2Ease of operation
If the energy storage system operates according to a preset charge/discharge plan with fixed power and charging/discharging amount, then operational simplicity is maintained, but efficiency loss occurs when rate periods are adjusted or user load power changes
Solution Approach 1:
The energy management system automatically optimizes the charge/discharge plan without requiring manual intervention. The system self-adjusts charging/discharging power and amounts by processing electricity price information, predicted user load power, and charge level data, maintaining operational simplicity while improving efficiency through automated decision-making
Data Source
AI summary
A charge/discharge method for energy storage system and energy storage cabinet includes: acquiring peak-valley electricity price information, load power prediction result, and/or energy storage system charge level information; determining, based on peak-valley electricity price information, energy state interval of target time period; determining, within energy state interval of target time period, charging/discharging amount in target time period based on load power prediction result and/or energy storage system charge level information; determining charging/discharging power in target time period based on charging/discharging amount in target time period, duration of target time period, current ambient temperature, thermal management strategy of energy storage system, and/or corresponding relationship between conversion efficiency and power of power conversion system. It is conducive to dynamically adjusting charge/discharge plan and generating reasonable charge/discharge plan, which solves problems of efficiency loss and revenue reduction of energy storage system due to unreasonable configuration of charge/discharge plan.