Control Center Coordination for Decentralized Energy Exchange
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current energy systems lack efficient control mechanisms for exchanging energy between decentralized power sources and consumers, such as photovoltaic installations, cogeneration units, and battery stores, due to limited grid-based storage capabilities, necessitating improved control and feedback systems.
Innovation Solution
A method involving a control center that receives and transmits supply data between energy subsystems, including remuneration conditions, to optimize energy exchange, minimize divergence between forecast and actual system states, and consider grid utilization remuneration, allowing for efficient energy management and operation optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If decentralized energy subsystems are connected for energy exchange, then energy system flexibility and decentralization are improved, but control complexity and coordination difficulty increase
Solution Approach 1:
A control center is introduced as an intermediary component that coordinates energy exchanges between multiple decentralized subsystems. The control center receives supply data from each subsystem, processes this information centrally, and generates control signals to manage energy flows, thereby reducing the coordination burden on individual subsystems while maintaining system flexibility
Solution Approach 2:
The control functions of multiple decentralized subsystems are merged into a central control center. This consolidation integrates the control of energy exchanges between photovoltaic installations, cogeneration units, battery stores, and other subsystems into a unified control mechanism, simplifying the overall control architecture
2Reliability
If grid-based storage capabilities are limited, then energy production and consumption must be balanced in real-time, but this reduces energy management flexibility
Solution Approach 1:
The system determines supply data in advance for future time intervals, allowing energy production and consumption to be planned ahead. This preliminary determination of supply data enables proactive energy management while maintaining real-time balance requirements, as the control center can prepare control strategies based on forecasted system states and remuneration conditions
Solution Approach 2:
The control system dynamically adjusts energy exchange strategies based on changing system states, remuneration conditions, and time intervals. The control center continuously receives updated supply data and modifies control signals to optimize energy exchanges, enabling flexible energy management within the constraints of limited storage capabilities
3Productivity
If supply data including remuneration conditions are exchanged between subsystems, then energy exchange optimization is improved, but data communication complexity increases
Solution Approach 1:
The control center serves multiple functions: it receives supply data from all subsystems, processes remuneration conditions, determines optimal energy exchanges, generates control signals, and manages communication protocols. This multi-functional approach consolidates data communication complexity into a single entity rather than requiring complex peer-to-peer communication between all subsystems
Data Source
AI summary
Various embodiments include a method for controlling an exchange of energy in an energy system with multiple energy subsystems connected to one another for exchanging energy comprising: receiving first supply data at a control center from a first subsystem, wherein the first supply data represent respective remuneration conditions of the first subsystem for receiving and/or providing energy; transmitting the first supply data to a second subsystem; receiving second supply data at the control center, the second supply data responsive to the first supply data, from the second subsystem, wherein the second supply data represent respective remuneration conditions of the second subsystem for receiving and/or providing energy, and controlling an energy exchange between the first subsystem and the second subsystem based on both the first supply data and the second supply data.