Aggregated Energy Storage Scheduling for Distributed Renewable Absorption
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Solution Overview
Problem
The challenge of efficiently utilizing a large number of distributed energy storage resources in distribution networks due to their small power and capacity, leading to complex and impractical centralized scheduling, is addressed by developing a generalized energy storage control method and system for full consumption of distributed renewable energy.
Innovation Solution
A method and system that determines a decomposed output curve for each individual energy storage system based on a pre-established control model, including target scheduling expressions and power constraints, to optimize the aggregated output curve of an energy storage aggregation system, thereby enabling efficient utilization and reducing renewable generation fluctuations on the power grid.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If centralized scheduling is used for distributed energy storage resources, then unified control can be achieved, but the system complexity becomes extremely high and practically impractical
Solution Approach 1:
The patent divides the centralized scheduling problem into two independent sub-problems: (1) aggregated energy storage system scheduling that determines overall control strategies, and (2) individual energy storage system scheduling that allocates specific control commands to each unit. This segmentation reduces the computational complexity from managing all individual units centrally to managing one aggregated system and then distributing commands, making the automation practically implementable while maintaining unified control objectives.
2Device complexity
If individual scheduling is used for each energy storage system, then system complexity is reduced, but coordinated control and overall optimization are lost
Solution Approach 1:
The patent introduces an aggregated energy storage system as an intermediary layer between the central scheduler and individual energy storage units. The aggregated system receives scheduling commands and translates them into coordinated control strategies for individual units. This intermediary maintains coordinated control and overall optimization by ensuring that individual scheduling decisions align with aggregate system objectives, while keeping individual unit scheduling relatively simple.
Solution Approach 2:
The patent implements a feedback mechanism where individual energy storage systems report their operational status and control responses back to the aggregated system. This feedback loop enables the aggregated system to adjust scheduling strategies and ensure coordinated control is maintained across all individual units, preserving overall system optimization while allowing simplified individual scheduling.
Data Source
AI summary
The provided is a generalized energy storage control method and system. The method includes: Acquiring a pre-established energy storage control model, where the energy storage control model includes an scheduling objective expression and power system constraints corresponding to the objective scheduling expression; Determining control parameters of the energy storage aggregation system based on the power system constraints and the objective scheduling expression; Determining an aggregated output curve of the energy storage aggregation system according to the control parameters, where the aggregated output curve characterizes the power output variation along time; Decomposing the aggregated output curve to obtain a respective decomposed output curve for each individual energy storage system within the energy storage aggregation system; Operating each energy storage system in accordance with its respective decomposed output curve. This method improves the operational security and reliability of the power system.