IEES - Institut für Elektrische Energiesysteme
Refine
Year of publication
Document Type
- conference proceeding (article) (23)
- Article (6)
- Book (1)
- Doctoral Thesis (1)
- Report (1)
Publication reviewed
- begutachtet (32)
Keywords
Institute
Energy storage is a crucial flexibility measure to temporally decouple power generation from power demand and is touted as the missing link in realizing a decarbonized energy system based on renewable energy. Energy storage capacity buildup at all levels of the global energy system is expected to accelerate the decarbonization process. To this end, a coherent mathematical framework to ascertain the carbon footprint of localized energy systems with energy storage is indispensable. This article presents an open-source energy system simulation program — Energy System Network (ESN). A variety of energy system configurations can be simulated with the Python program, which incorporates key energy system components such as generation, grid, storage, and loads. ESN features an integrated bottom-up approach that combines energy system modeling with streamlined life cycle assessment techniques to quantify the carbon footprint of all components in a localized energy system. The lifecycle phases of each component, including production, operation, and end-of-life treatment, can be considered. Carbon footprint values are obtained for two demonstrative case studies with lithium-ion battery applications: energy arbitrage and home energy systems. The metric Levelized Emissions of Energy Supply (LEES) has been used to evaluate the carbon footprint of each application. An unconventional energy arbitrage strategy designed to exploit the grid carbon intensity spreads instead of the energy price spreads manages to achieve a LEES value about 17% lower than the conventional variant. The influence of rooftop solar generation, battery energy storage system, and the energy management strategy on the LEES values for a home energy system is explored. A maximum LEES reduction of over 37% vis-á-vis the base scenario was observed with optimal energy management for the solar generation and the battery system. The open-source availability of ESN can contribute to transparency, comparability, and reproducibility in carbon footprint assessments of localized energy systems with energy storage.
The goal for solving the expansion planning (EP) problem in electrical systems involves the search for the optimal allocation of output power among available generators to serve the system load in a given time horizon. Currently, environmental aspects and the continuing search for alternative energy sources, push for the integration of wind power generators in the EP problem. In order to fulfill this new requirement, this paper developes a long-term energetic analysis for expansion planning under high wind power penetration scenarios in Colombia and its effect in neighboring countries. The simulations were developed using SDDP ™ software package, a tool based in stochastic dual dynamic programming technique for hydrothermal-wind least-cost dispatch.
The control of mechanical power in wind turbogenerators involves the participation of many subsystems. One of them is related to pitch mechanism, which usually employs conventional PI strategies. This paper presents an alternative for estimating the parameters of this PI controller, using Fuzzy Logic (FL). Matlab-Simulink™ software was used in order to verify the performance of the FL-based parameter estimator in some general cases.
This work constitutes the second part of a study that aims to analyze the technical and economic implications of the penetration of wind power in the Colombian Interconnected System (SIN). In the previous part of the work, steady state studies were carried out (loading at transmission corridors, short circuit and the most important contingencies were applied). A summary with the main problems encountered and their respective solutions were proposed. In this second part, the same group of wind farms and time horizon were employed, while dynamic models were fit to ensure the proper operation of controls against the contingences. Using the software DigSilent™, studies of stability (with and without controls), power quality (flicker analysis), and voltage ride through capability (VRT) were addressed. Finally, technical recommendations and further work are presented.
This work is the first part of a study that aims to analyze the technical and economic implications of the penetration of wind power in the Colombian Interconnected system (SIN). Using the software DigSilent™, studies of steady state, contingencies and short-circuit were conducted in order to identify problems of stress, overload, voltage profiles, transmission bottlenecks and the most neuralgic elements for the operation of the proposed wind parks. Additional electrical studies, such as stability, power quality, voltage ride through capability, and the development of some indicators associated with the penetration of wind power in Colombia, will be addressed on a second part of this work.
The paper presents an approach for modelling a Battery Energy Storage System (BESS). This approach consists of four stages. In the first stage a detailed model is developed taking into consideration all the electrical details of the original system. In stage two the detailed model will be validated using real measurements. In the third stage the complexity of the detailed model is reduced resulting in a simplified model which is able to represent the relevant electrical dynamics of the original system and to decrease the simulation time significantly. In the last stage the simplified model is validated by a comparison with simulation results of the detailed model.
Impact of Load Matching Algorithms on the Battery Capacity with different Household Occupancies
(2019)
Due to an increasing use of renewable energy sources in the power grid, it is of high importance to balance supply and demand for grid utilities and microgrid operators. If there are mismatches in the balancing, microgrids with islanded operation capabilities would be preferrable. In islanded mode, nearly zero energy buildings commonly use a stand-alone photovoltaics power supply with a battery storage. A battery storage is expensive and the capacity in case of off-grid operation depends on the electricity consumption of the dwelling's occupants. Using thermostatically controlled appliances like a freezer, water heater and space heating as additional storage systems can reduce the capacity of the battery storage system or increase the operation time in islanded mode for a fixed battery size. This paper analyzes the battery capacity dependency both on the control algorithms for the thermal storages and on the occupancy of the dwelling. Possible battery reductions for different selected occupancies are presented in this work by comparing the simulation results of different load matching algorithms to each other and between the different occupancies. The analysis of those results enables recommendations on the most suitable algorithm for most occupancy scenarios of an existing dwelling with respect to a minimized battery capacity. This can be particularly useful, for example, for dwelling and apartment owners who are renting out dwellings.
Increasing shares of renewable energy sources in combination with rising popularity of demand response applications and flexibility programs forces higher awareness for production and consumption balancing. Accurate models for forecasting are not just necessary for PV- or wind power sources in smart cities, but also the prediction of loads respectively consumption, which can be based on time series analysis or machine learning methods. Three of those methods, namely a linear regression (LM), a long short-term memory network (LSTM) and a neural network model (NN), have been selected to see their performance on predicting the load of a large smart city on the example of the Estonian electricity consumption data. Hourly data of the year 2019 was used as training data to predict the first 20 days of 2020. For this kind of prediction, the LM showed the lowest root mean square error (RMSE) and had the lowest computational time. The neural network was slightly less accurate. The LSTM showed the worst performance in terms of accuracy and computational time. Thus, LSTM is not the preferred method for this kind of prediction and the recommendation for forecasting such loads would be a LM because the RMSE and computational effort needed are lower than for a NN
Due to an increasing share of renewable energy sources the balancing of energy production and consumption is getting a lot of interest considering future smart grids. In this context, many investigations on demand-response programs are being conducted to achieve flexibility from different energy storages and loads. As space heating is an important schedulable load for flexibility simulations, there are different modelling approaches due to its interdisciplinary nature. Models can be built from the civil engineering or electrical engineering point of view, depending on the computational expense and accuracy level. Scheduling optimizations need a lot of simulations, preferably with computationally light models. Thus, this work will use a computationally light neural network load prediction model for space heating which is based on a detailed civil engineering model. Simulations with different scheduling times were conducted to see the long- and short-term effects of the demand response action. Results show, that applying the same demand response action at different times results in different behaviors of the system resp. energy consumption, which requires further studies for developing optimized scheduling methods.
To reduce greenhouse gas emissions, volatile energy production from renewable sources is highly encouraged by international agreements. This leads to balancing challenges of demand and supply which can be addressed with smart grids or even smart city concepts. Demand side management control strategies for flexibility harvesting often include energy storage systems, like flywheel- (FESS) and battery (BESS) storages. To investigate different control strategies for a hybrid energy storage system with a flywheel and battery storage in an islanded microgrid, an existing flywheel is modernized with state-of-the-art components to support real time power hardware in the loop simulations. Testing a load levelling control strategy with this test bench showed that the cyclic lifetime of the battery storage system could be increased with peak shaving due to a reduced amount of charging and discharging operations. An excessive energy buffering control method could increase the islanded operation time by using nearly 10% of the otherwise lost energy. However, these results with the testbench showed limited use for research with the current setup due to low capacity and high self-discharge rate of the existing FESS. But due to the MATLAB-based programming interface, it is perfectly suitable as an educational setup for the demonstration of possible implementations of the European Green Deal.
Microgrids play an important role in the energy transition. The change from few centralized power plants to thousands of small renewable and volatile energy resources requires, but also enables new grid control strategies.
The full potential of microgrids is deployed by the extension of island grid operation.
This leads to an increased reliability and resilience of the distribution of electrical energy.
Further, the island capability of microgrids can support a greater grid area in case of failures in higher voltage levels by a temporary disconnection from the main grid and later by resynchronization in the frame of a cellular approach.
For the modeling and control of microgrids in island operation, this thesis delivers mathematical models for typical assets verified by specifc measurements at an existing microgrid (Microgrid Campus Wildpoldsried - MCW) with island capability.
Further, the interaction of inverter-based assets, such as battery storage systems in grid forming, but also in grid support mode, and photovoltaic systems as well as rotating generation units by using droop control, is investigated by simulation; the results are confirmed by measurements at the MCW.
Based on these verified simulation models, further control strategies for the microgrid are developed and analyzed by simulation. This includes a centralized approach for a microgrid controller, including active and reactive power management, strategies for black start and resynchronization as well as energy scheduling for the battery storage systems.
Further, also a failsafe control strategy for active and reactive power sharing between distributed generation, battery storage systems and rotating generation units is investigated for systems without communication system (e.g., temporarily caused by a failure or permanent to reduce installation and maintenance costs). All investigations were performed under consideration of the practical application in real grids. This includes existing rules like VDE AR-N4105 for the distributed generation and the DIN EN50160 for voltage quality on the one hand, but also communication dead times caused by Ethernet-based communication links, protocol converters and control platforms.
Therefore, this thesis provides insightful methods for the planning, dimensioning and analysis of islanded microgrids.
Die Bedeutung erneuerbarer Energien für die Elektroenergieversorgung Deutschlands hat in den letzten beiden Jahrzehnten rapide zugenommen. Der Netzanschluss, vor allem von Windenergie- und Photovoltaikanlagen, sowie die erforderlichen Ausbaumaßnahmen der Elektroenergieversorgungsnetze stehen im Zentrum der Bemühungen um ein Gelingen der Energiewende. Die vorliegende 3., vollständig neu bearbeitete Auflage erläutert, ausgehend von den physikalisch-technischen Zusammenhängen der Nutzungsformen Photovoltaik, Windenergie und Wasserkraft, den typischen technischen Aufbau solcher Anlagen. Die Besonderheiten bei der Bewertung der Netzverträglichkeit des Anschlusses, charakterisiert durch die Betrachtung der Störaussendungen, werden ebenso behandelt wie die Netzanschlussbedingungen, die durch Technische Regeln für verschiedene Spannungsebenen vorgegeben werden. Breiten Raum nimmt die Schilderung von Sonderfragen aus dem Bereich der Projektierung des Netzanschlusses ein, wie die Berechnung der Netzimpedanz, die Schutzauslegung und die Strombelastbarkeit von Freileitungen und Kabeln. Auch die Darstellung der Einsatzmöglichkeit von HGÜ-Technik und neuartiger Freileitungsseile im Rahmen des erforderlichen Netzausbaus sind enthalten. Eine Übersicht über die zu beachtenden Normen und Technischen Regeln runden das Buch ab.
Transactive energy approaches entail the paradigm shifts needed for a successful energy transition towards cleaner energy systems. In the research project pebbles, one such approach aims at developing a Blockchain-based platform for enabling both local energy markets directly accessible to prosumers and distribution grid services. The present paper describes the project’s goal, scope and preliminary findings laying the focus on the conceptual groundwork for the development of a prototypical platform.
The paper presents the effect of network impedances on the transient stability of Low Voltage (LV) microgrids intended for islanded operation. A simulation model is developed using simplified models of Distributed Generations (DGs). These simplified models are used to simulate electrical (excluding switching) as well as control dynamics for each DG to setup and facilitate system level simulations [1]–[3]. The paper focuses on the operation of DGs in grid forming mode using a droop based primary control. This approach is applied on a real microgrid which is set up within the pebbles research project framework. These DGs are connected through cable impedances to a resistive load bank at the point of common coupling (PCC). The effect of varying individual impedances between DGs and PCC under loading conditions on the microgrid stability is investigated. The location of load between DGs and its impact is also discussed. Finally, a control modification utilizing concept of virtual impedances (VIs) in Voltage Source Inverters (VSI) is proposed to improve the transient stability of the discussed microgrid.
In this paper, the small signal stability of a Battery Energy Storage System (BESS) used in a low voltage islanded microgrid is investigated for an ohmic load case using eigenvalue sensitivity analysis. Two approaches namely Quasi Steady State (QSS) and Dynamic Phasor Modeling (DPM) are presented and compared for a reference BESS in a real microgrid. The QSS approach is considered as a traditional method to model system dynamics assuming that they are slow enough to apply steady state rules. The DPM approach on the other hand considers the electrical dynamics in the control feedback loop and the coupling between the parallel inverters. The evaluation of the mathematical models for both approaches as well as simulation and measurement results are presented. The classical QSS stability analysis applied to the BESS does not show the dependency of stability margins on droop parameters, smoothing time constant or load parameters. This problem can be overcome by the presented DPM method. The sensitivity of the BESS and load parameters on stability limits is studied in detail.
The paper investigates the transient stability issues
in islanded microgrids with both grid forming as well as grid
following Distributed Generation (DG) units participating in
the microgrid. The focus is to identify high frequency stability
challenges due to short time transients that generally arise
from fast load changes. It is shown that the primary control
in DGs, type of load and grid impedances requires significant
considerations for transient grid stability. An extended microgrid
simulation model with two Battery Storage Systems (BSSs)
namely BSS1 and BSS2, a Back-to-back Station (B2B) as well as
a resistive load bank is modeled in this regard [1]. The models
of these DGs are based on real system components integrated
in a real microgrid demonstrator and are simplified to simulate
electrical (excluding switching) as well as control dynamics for
each DG to setup and facilitate system level simulations [2]. The
B2B and BSS1 are operated in grid forming mode (VSI inverter)
and the primary control is based on the classical droop control to
regulate output voltage and frequency. The BSS2 is operated in
grid following mode (CSI inverter) and emulates a prosumer with
a primary control that regulates BSS output active and reactive
power. The microgrid has no secondary microgrid controller and
the microgrid stability under islanded operation is exclusively
considered in this paper.
Microgrids with a high penetration of distributed generation (DG) in combination with energy storage systems (ESS), but also in combination with fuel-driven generation units (gensets) can be operated in on-grid mode, but also in off-grid mode (island operation). For grid restoration in island mode, a black start strategy is needed. This scientific work deals with a black start concept for island grids with a high amount of non-controllable DG units and non-controllable loads which is investigated by mathematical modeling and simulation for different scenarios. The assumed underlying control behavior of the DG units is described in the German application guide VDE-AR-N 4105. The corresponding mathematical modeling is presented and a verification by specific measurements is presented.
Microgrids can be operated in on-grid mode, but also in off-grid mode (island operation). In off-grid mode, grid forming units have to ensure the grid's voltage and frequency stability. For more than one grid forming unit, the active and reactive power sharing has to be handled. This paper presents a method for voltage and reactive power control for systems without a superordinated control system or a communication link between the grid forming units. A failsafe concept is included, that means that a stable operation is given also in case that one grid forming unit is disconnected.
Local energy markets (LEM) represent a user-centric approach to provide direct market access to prosumers able to compensate selected inadequacies associated with the current design of central energy markets. This paper presents four LEM design options and introduces the specific configurations for both an auction-based and a central coordinator approach. While both approaches aim at maximizing welfare, they differ with regard to the role assumed for the LEM participants and coordinator. Finally, exemplary results are discussed for a test case.
The paper presents the dynamic modeling and stability analysis of Low Voltage (LV) microgrids in island operation using simplified electrical models for Distributed Generations (DGs). These simplified models are used to simulate electrical (excluding switching) as well as control dynamics for each DG to setup and facilitate system level simulations. The paper focuses on the operation of components in grid forming mode using a droop based primary control. This approach is applied on a real microgrid which is set up within the IREN2 research project framework. The demonstrator incorporates a Li-Ion based Battery Energy Storage System (BESS), a plant oil driven generator as well as a BESS emulator. First, a brief overview of the detailed model for each DG including its simplification is discussed. Next, the microgrid is set up using simplified models for transient simulations and the comparison with real measurements is shown for different microgrid topologies. Later, overall microgrid stability i.e., various instability aspects in LV island grids are discussed. In this regard, an analytical method based on Eigenvalue analysis for identification of stability limits for relevant electrical and control parameters and under various loading conditions is presented. Finally, the complete microgrid model is simulated for potential instable conditions and a comparison with the analytical solution is shown.