ESS Scheduling and Real-Time Control for Peak Load Management
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Solution Overview
Problem
Current energy storage systems (ESS) are limited in managing complex environments with multiple power energy consumption, supply, and storage sources, such as smart cities, requiring a method to optimize ESS control for efficient power management across the entire system rather than individual resources.
Innovation Solution
A method for controlling ESS involves analyzing energy information to calculate peak power loads, generating scheduling control information for daily charging and discharging, determining real-time control needs, and correcting control information to prevent reverse power transmission and manage peak loads, using a server device to distribute optimized control instructions to connected clients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If ESS is controlled for single-purpose operations (cost reduction, output stabilization, frequency adjustment), then specific energy management functions are achieved, but the system cannot efficiently manage complex smart city environments with multiple power energy sources and consumption points
Solution Approach 1:
The patent implements a server device that provides unified management for multiple ESS units across different locations (smart cities and towns). The server performs centralized scheduling and control of charging/discharging operations for multiple ESS units, enabling the system to handle complex smart city environments with various power sources and consumption points through a single multi-functional management platform
2Measurement precision
If real-time control information is generated frequently to optimize ESS control, then energy management precision is improved, but communication load and system response time increase
Solution Approach 1:
The patent implements a periodic control cycle where the server generates scheduling control information at predetermined intervals (e.g., every 15 minutes or 1 hour). Within each cycle, the server receives energy information, calculates peak power loads, generates control instructions, and transmits them to ESS units. This periodic approach balances control precision with reduced communication frequency, optimizing both accuracy and system efficiency
Data Source
AI summary
A method for controlling an energy storage system (ESS) and devices performing the method are disclosed. A method for controlling an ESS according to example embodiments, the method includes an operation of analyzing energy information of an area for which a peak power load is to be calculated received from a plurality of clients included in the area, an operation of generating, based on an analysis result, scheduling control information for controlling the ESS connected to the plurality of clients on a daily basis, an operation of determining, based on the scheduling control information, whether to generate real-time control information for controlling the ESS on a basis of a predetermined control time period, and an operation of correcting, based on the real-time control information, the scheduling control information.