Payment-Aware Energy Exchange Control for Decentralized Subsystems
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Solution Overview
Problem
The challenge of efficiently balancing electrical energy production and consumption in power grids, particularly with the integration of decentralized energy sources like photovoltaic systems, biogas plants, and wind turbines, is not adequately addressed by existing technologies, leading to inefficiencies and the need for improved control and regulation.
Innovation Solution
A method involving a control center that receives and processes feed-in data from energy subsystems, including remuneration conditions, system states, and energy storage levels, to optimize the exchange of electrical energy between interconnected energy subsystems, using a centralized or decentralized control unit system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If decentralized energy sources are integrated into the power grid, then energy supply diversity is improved, but control and regulation complexity increases
Solution Approach 1:
The system segments the decentralized energy sources into modular energy subsystems, each with its own control unit that can independently manage its energy production and consumption. This segmentation allows diverse energy sources to be integrated without overwhelming the central control system, as each subsystem handles its own regulation locally.
Solution Approach 2:
A control center acts as an intermediary between the decentralized energy subsystems and the central power grid. The control center receives feed-in data from multiple subsystems, processes this information, and coordinates energy exchange, thereby simplifying the overall control architecture while maintaining diversity.
2Manufacturing precision
If real-time energy exchange control is implemented, then energy balance precision is improved, but communication and processing requirements increase
Solution Approach 1:
Energy subsystems prepare feed-in data in advance, including information about their energy production, consumption needs, and remuneration conditions. This preliminary preparation of data allows the control center to process information more efficiently and make balanced energy exchange decisions without requiring complex real-time processing of all raw data.
Solution Approach 2:
The system implements feedback loops where the control center receives feed-in data from energy subsystems, processes this information, and sends back control signals to adjust energy exchange. This feedback mechanism enables precise energy balancing while distributing the processing load between the control center and individual subsystems.
Data Source
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AI summary
The invention relates to a method for controlling an exchange of energy in an energy system (1) having multiple energy sub-0systems (3), each connected for the exchange of energy between one anotherenergy exchange with one another. In order to enable an improved control of an energy exchange, the following steps are provided: receiving first input data (6) from a first (10) of the energy sub-systems (3) via a control centre (2), wherein the first input data (6) comprises respective payment compensation conditions of the first energy sub-system (3) for receiving and/or providing energy; transferring the first input data (6) to a second (11, 12) of the multiple energy sub-systems (3); receiving second input data (7) adapted to the first input data (6) from the second energy sub-system (11, 12) via the control centre (2), wherein the second input data (7) comprises respective payment compensation conditions of the second energy sub-system (11, 12) for receiving and/or providing energy; and controlling the exchange of energy between the first (10) and the second energy sub-system (11, 12) according to the first (6) and second input data (7) via the control centre (2).