Two-Stage Energy System Control Balancing Economic and Technical Optimization
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Solution Overview
Problem
Existing local energy markets face challenges in identifying a clear optimum solution for energy systems with flexible consumers, such as electric vehicles, as multiple economically equivalent solutions can lead to undesirable technical outcomes like grid overload, despite being economically optimal.
Innovation Solution
A method that uses a two-stage optimization approach, where the first optimization calculates multiple solutions based on an economic variable and the second optimization selects the technically optimal solution based on a technical criterion, such as grid stability or emissions, to ensure a solution that balances economic and technical feasibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a single optimization variable (total costs) is used for economic optimization, then economic efficiency is improved, but technical feasibility deteriorates due to grid overload risks
Solution Approach 1:
The optimization process is segmented into two distinct stages: first optimization for economic criteria and second optimization for technical criteria. This segmentation allows each optimization to focus on its specific objective without compromising the other, resolving the contradiction between economic efficiency and technical feasibility
Solution Approach 2:
The solution moves from a single-dimensional optimization (economic costs only) to a two-dimensional optimization space by introducing a second optimization variable for technical criteria. This dimensional expansion enables simultaneous consideration of both economic and technical requirements
2Adaptability or versatility
If multiple economically equivalent solutions exist, then economic flexibility is improved, but system stability deteriorates due to simultaneous charging peaks
Solution Approach 1:
The first optimization preliminarily identifies all economically optimal solutions before the second optimization selects the technically appropriate one. This preliminary action ensures economic flexibility is maintained while preparing the ground for technical stability consideration
Solution Approach 2:
The two-stage optimization process creates a feedback mechanism where the results of the first optimization inform the second optimization. The second optimization uses the economically optimal solutions as input and provides feedback by selecting the technically feasible one, ensuring both economic and technical requirements are met
Data Source
AI summary
Various embodiments include methods for controlling energy conversion, energy storage, energy transportation, and/or energy consumption of multiple energy installations of an energy system and/or of multiple consumers flexible with regard to their load. The method may include: optimizing values of variables for control by calculation based on a first and a second optimization variable; calculating multiple solutions of the values optimum with regard to the first optimization variable, using a first optimization; ascertaining one of the calculated solutions as optimum with regard to the second optimization variable using a second optimization; and using the optimum calculated solution for controlling the energy system.