scholarly journals Gone with the Wind? Electricity Market Prices and Incentives to Invest in Thermal Power Plants under Increasing Wind Energy Supply

Author(s):  
Thure Traber ◽  
Claudia Kemfert
2021 ◽  
Vol 22 (1) ◽  
pp. 20-27
Author(s):  
I. N. Fomin ◽  
T. E. Shulga ◽  
V. A. Ivaschenko

The article discusses an original solution for designing an algorithm for selecting the most optimal technical and economic indicators for the operation of generating equipment of thermal power plants, taking into account the requirements of the wholesale electricity market, the day-ahead market and the balancing market. To design an algorithm for controlling generating equipment, the activity of a generating company in the wholesale electricity market was considered in terms of system dynamics. The proposed solution made it possible to select and interpret the state variables of the model, build flow diagrams describing the functioning of a technical-economic system, and visualize cause-and-effect relationships in the form of structured functional dependencies. In this work according to the norms of industry legislation and previously conducted scientific research the most important parameters were identified that form the flows of a dynamic technical and economic system, which are optimization criteria in fact. On the basis of this data, a stream stratification of the production processes of generating companies was carried out and a complex of mathematical models of system dynamics was developed to determine and plan the financial efficiency of the operation of thermal power plants and generating companies. The mathematical apparatus and the algorithm of its functioning are developed on the basis of the digraph of cause-and-effect relationships between the investigated technical and economic indicators. On the basis of the graph of interrelationships of system variables, a system of nonlinear differential equations has been built, which makes it possible to determine planned performance indicators when various technical and economic conditions change. The novelty of the proposed approach is the use of new model solutions based on the mathematical apparatus of system dynamics to represent the proposed model in simulation systems, in industry ERP and MES systems, for the development of DDS.


Author(s):  
Clemens Schneider ◽  
Sebastian Braun ◽  
Torsten Klette ◽  
Steffen Härtelt ◽  
Alexander Kratzsch

Germany’s current energy policy is focused on the replacement of the conventional powered electrical energy supply system by renewable sources. This leads to increasing requirements on the flexibility for the conventional thermal power plants. Larger differences between energy supply from renewable energy sources and energy demand in the grid lead to high dynamic requirements with respect to the load change transients. Furthermore, a reduction of the required minimum load of existing thermal power plants is necessary. The existing power plants are indispensable for securing the network stability of the power grid. Accordingly, activities to improve the flexibility of existing power plants are required. By the use of thermal energy storage (TES) it is possible to increase the load change transient. Furthermore, it is possible to temporarily provide an increased generator power and reduce the minimum technical load of the unit. Currently, there is no closed methodical approach for the load profile-dependent and location-based dimensioning and integration of TES into thermal power plants. The aim is to generate contributions for the development of a universal design method. This requires the provision of characteristics for dimensioning and integration of TES into thermal processes. For this purpose, it is necessary to derive quantifiable information on the required capacity, performance and stationary and dynamic operating conditions. Starting from analyzing the anticipated, site-specific load profiles the derivation of concepts for technical implementation, feedback on the process and cost of the thermal storage unit takes place. In order to investigate the technical feasibility, the implementation of storage and the associated control concepts as well as to validate the developed design models, the test facility THERESA has been built at the University of Applied Sciences in Zittau (Germany). The acronym THERESA is the abbreviation for thermal energy storage facility. This test facility includes a reconstructed thermal water-steam process, similar to a power plant with integrated TES. The test facility is unique in Germany and enables the delivery of saturated steam up to 160 bars at 347 ° and superheated steam up to 60 bars at 350 °C with an overall thermal power of 640 kW. The design, planning and construction of the facility took 3 years and required an investment volume of 3 mill. Euro. The facility includes two preheater stages, steam generator, super heater, direct TES with mixing preheater and a heat sink. The TES with a volume of 600 L as well as the mixing preheater are prototypes which developed for the special requirements of the facility. Based on this facility, it is possible to investigate methods for the flexibilization of thermal power plants with TES under realistic parameters. Furthermore, the test facility allows the development of control and regulatory approaches as well as the validation of simulation models for process expansion of thermal power plants. Initial investigations show the impact of a simulated load reduction at the heat sink on the system behavior. Here, the load reduction takes place from the heat sink in the storage without changing the steam production. The development and construction of the test facility were funded by the Free State of Saxony and the European Union. The further work on the development of the integration methods are funded by the European Social Fund ESF.


Author(s):  
G. Scarabello ◽  
S. Rech ◽  
A. Lazzaretto ◽  
A. Christidis ◽  
G. Tsatsaronis

The prospect of clean electrical energy generation has recently driven to massive investments on renewable energies, which in turn has affected operation and profits of existing traditional thermal power plants. In this work several coal-fired and combined cycle power units are simulated under design and off-design conditions to adequately represent the behavior of all modern thermal units included in the German power system. A dynamic optimization problem is then solved to estimate the short-run profits obtained by these units using the spot prices of the German electricity market (EEX) in years 2007–2010. The optimization model is developed using a Mixed Integer Linear Programming approach to take the on-off status into account and reduce computational effort. New market scenarios with increasing renewable shares (and consequently different spot prices) are finally simulated to analyze the consequences of a larger capacity of renewable energies on the optimal operation of traditional thermal power plants.


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