Dipl.-Math. Robert Burlacu
Combined Optimization, Simulation and Grid Analysis of the German Electrical Power System in an European Context
(Third Party Funds Group – Overall project)Term: 01-10-2016 - 30-09-2019
Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)Germany decided to reorganize its energy supply system in a sustainable way by initiating the energy transition (Energiewende). One of its main targets is to be one of the most environmentally friendly and energy-conserving economies worldwide with competitive energy prices at the same time. This requires the support of all-embarrassing analytical systems, which take into account the technical, market and regulatory framework at once. Existing energy system analysis models often neglect or simplify the modeling of the electrical grid, which motivated the preliminary multidisciplinary work of the chairs of the FAU Erlangen-Nürnberg in the recent years.
A holistic system-oriented modeling approach for the electrical power supply system in Germany was initially developed with a focus on Bavaria. The model of the German electrical power supply system includes the transmission grid, conventional power plants and feed-in from renewables concerning the current market mechanisms in Germany. With the developed model it is possible to derive statements about grid and storage expansion or the development of CO2 emissions for the federal state Bavaria. The overall model includes sub-models for optimization (determination of cost-optimal expansion scenarios), for simulation (stochastic simulation of different scenarios with high temporal resolution and technical detail) and grid analysis (quasi-stationary AC load flow calculations) for checking the required grid planning criteria and stable system operation.
Within the research project KOSiNeK funded by the Federal Ministry for Economic Affairs and Energy (BMWi) we now extend the existing holistic system-oriented modeling approach for the German electric energy system to derive statements about the future development of the system within the European context. This includes both the evaluation of net expansion scenarios and the simulation and analysis of regulatory frameworks. In order to cope with the increasing complexity of the problem, new approaches from the fields of mathematics, computer sciences and net analysis are necessary, which includes aggregation and decomposition techniques, hierarchical multipoint model approaches as well as probabilistic methods to determine the probability of occurrence of certain conditions. This leads to models of high complexity. To take this into account, the approaches from mathematics, computer science and grid analysis will also be coupled iteratively. This enables displaying technical and economic aspects with regard to the control of power plants in a very detailed manner as well as considering grid-regulations in order to guarantee a safe electrical power supply. In addition, it is possible to examine energy markets in an European context including their regulatory framework. The flexible and component-based model construction allows the influence of new market mechanisms such as dividing Germany into price zones or changing market conditions or funding mechanisms with a detailed, agent-based market model. For the integrated power grid analysis, the continental European transmission grid is integrated by network equivalents. A novel probabilistic approach will also be developed to evaluate the grid expansion scenarios.
The project KOSiNeK (project number 03ET4035) is funded by the 6th energy research program of the German Federal Ministry for Economic Affairs and Energy (BMWi).
Adaptive MIP-Relaxations for MINLPs (B07) (2014 - 2018)
(Third Party Funds Group – Sub project)Overall project: TRR 154: Mathematical Modelling, Simulation and Optimisation Using the Example of Gas Networks
Term: since 01-10-2014
Funding source: DFG / Sonderforschungsbereich / Transregio (SFB / TRR)Goal of the project is the analysis and solution of large-scale MINLPs, especially from the application of instationary gas network optimization, using adaptive MIP models. We approximate the nonlinearities with piecewise-linear functions to construct MIP relaxiations of the underlying MINLP. In addition, theoretical results linking the complexity of the relaxiations to structural properties of the nonlinear functions and the linearization error shall be derived.
Solving AC Optimal Power Flow with Discrete Decisions to Global Optimality
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Global optimization of batch and steady-state recycling chromatography based on the equilibrium model
In: Computers & Chemical Engineering 135 (2020), p. 106687
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Maximizing the storage capacity of gas networks: a global MINLP approach
In: Optimization and Engineering 20 (2019), p. 543-573
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Combining Automated Measurement-Based Cost Modeling With Static Worst-Case Execution-Time and Energy-Consumption Analyses
In: IEEE Embedded Systems Letters 11 (2019), p. 38-41
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Solving mixed-integer nonlinear programmes using adaptively refined mixed-integer linear programmes
In: Optimization Methods & Software (2019)
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Combined Optimization, Simulation and Grid Analysis of the German Electrical Power System in an European Context (KOSiNeK) - Presentation of the research project and first results
Integration of Sustainable Energy Conference (ISEneC) 2018 (Nürnberg)
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A Global Optimization Approach for Instationary Gas Transport in Pipeline Networks
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GasLib - A Library of Gas Network Instances
In: Data 2 (2017)
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An End-To-End Toolchain: From Automated Cost Modeling to Static WCET and WCEC Analysis
20th International Symposium on Real-Time Distributed Computing (ISORC 2017) (Toronto, Canada, 16-05-2017 - 18-05-2017)
In: Proceedings of the 20th International Symposium on Real-Time Distributed Computing (ISORC 2017) 2017
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