Central Controller Pool Coordination for Distribution Networks
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Solution Overview
Problem
Existing methods struggle to optimize the operation of multiple technical units as a composite pool on an electrical distribution network, balancing individual unit-specific optimization targets with pool-wide objectives, especially when dealing with volatile energy sources and local constraints.
Innovation Solution
A central control apparatus coordinates technical units by receiving flexibility data and providing stimulus functions to guide power exchange planning, ensuring each unit can operate according to its local optimization targets while aligning with pool-wide goals, such as minimizing costs or maximizing renewable energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a central control apparatus coordinates all technical units to achieve pool-wide optimization, then pool-wide optimization targets are improved, but individual unit flexibility and local optimization capabilities deteriorate
Solution Approach 1:
The system segments the coordination process into two independent phases: (1) units independently determine their own schedules based on local optimization targets, and (2) the central control apparatus coordinates these schedules to achieve pool-wide optimization. This segmentation allows both individual flexibility and collective optimization to coexist without conflict.
2Ease of operation
If technical units operate according to local optimization targets, then individual unit performance is improved, but pool-wide optimization goals deteriorate
Solution Approach 1:
The central control apparatus receives schedule information from each technical unit and provides coordination feedback to adjust schedules, ensuring pool-wide optimization is achieved while respecting local operational constraints. This feedback mechanism enables iterative improvement of both local and pool-level performance.
3Loss of energy
If volatile energy sources deliver excess energy to the distribution network, then local energy utilization is improved, but distribution network strain increases
Solution Approach 1:
The system performs preliminary coordination of energy delivery schedules before actual energy transmission occurs. By pre-coordinating when and how much energy volatile sources deliver to the network, the system ensures local energy is utilized effectively while preventing network strain through advance planning and constraint consideration.
Data Source
AI summary
A method for operating a plurality of technical units as a pool on an electric distribution network. A central controller is used to receive flexibility data from each technical unit. The flexibility data is used by the unit to indicate a power interval within which the electric power of the unit is allowed to vary or varies in an expected manner. Depending on a specified optimization target of the pool, an individual non-binding stimulus function is ascertained for each unit from the flexibility data of each unit and is provided to the respective unit. In response to the individual stimulus function, a respective schedule which describes a time curve of the power exchange planned according to a local optimization target of the unit is then received from each unit, and an overall schedule for the pool is generated from the schedules of the units.