scholarly journals Influence of Composition of Power Plant Fleets and Ownership of Transmission and Distribution Networks to Incumbent Company’s Business Success in Some Former Socialist EU Countries

2021 ◽  
Vol 70 (1) ◽  
pp. 29-35
Author(s):  
Krešimir Komljenovic
Keyword(s):  
Power Plants ◽  
Social Issues ◽  
Distribution Networks ◽  
Business Success ◽  
Open Market ◽  
Secondary Sources ◽  
Renewable Power ◽  
Access To Data ◽  
The Impact ◽  
Transmission And Distribution

By joining the EU, companies from eastern countries, which until then had largely operated in regulated circumstances, had to adapt to the open market. Liberalization and deregulation were imposed on them as new mantras, in contrast to ensuring the supply at all costs and addressing social issues. How these companies flourished in new circumstances is a legitimate topic for managerial research. This article researches the impact of the "hard assets" composition, that those companies operated, on their expected business success after a multi-year adjustment period. Positivistic research philosophy, "case study", and the deduction approach are used. The data were collected mainly from secondary sources. 3 research goals were selected with 3 relevant research questions. An attempt was made to respond to them on the example of 7 Central European countries and 11 companies, direct successors of original incumbents. The property is grouped into 3 groups: classical power plants (nuclear, hydro, coal), renewable power plants (wind, solar, bio mass) and lines (transmission and distribution). Criteria for success are selected according to usual praxis, but also adjusted to accessible data, predominantly from the company's annual financial statements. Contrary to the developed intuition, and based on cases of companies analyzed, there was no significant correlation between the selected criteria of success and the observed asset classes, serving as independent variables. The biggest problem in the research was access to data. This paper is an extraction from an MBA dissertation.

An Expanded Cost of Electricity Model for Highly Flexible Power Plants

2012 ◽  
Vol 135 (1) ◽  
Author(s):  
S. Can Gülen ◽  
Indrajit Mazumder
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Gas Turbine ◽  
Power Plants ◽  
Combined Cycle ◽  
Plant Performance ◽  
Cost Of Electricity ◽  
Renewable Power ◽  
Effective Performance ◽  
The Impact

Cost of electricity (COE) is the most widely used metric to quantify the cost-performance trade-off involved in comparative analysis of competing electric power generation technologies. Unfortunately, the currently accepted formulation of COE is only applicable to comparisons of power plant options with the same annual electric generation (kilowatt-hours) and the same technology as defined by reliability, availability, and operability. Such a formulation does not introduce a big error into the COE analysis when the objective is simply to compare two or more base-loaded power plants of the same technology (e.g., natural gas fired gas turbine simple or combined cycle, coal fired conventional boiler steam turbine, etc.) and the same (or nearly the same) capacity. However, comparing even the same technology class power plants, especially highly flexible advanced gas turbine combined cycle units with cyclic duties, comprising a high number of daily starts and stops in addition to emissions-compliant low-load operation to accommodate the intermittent and uncertain load regimes of renewable power generation (mainly wind and solar) requires a significant overhaul of the basic COE formula. This paper develops an expanded COE formulation by incorporating crucial power plant operability and maintainability characteristics such as reliability, unrecoverable degradation, and maintenance factors as well as emissions into the mix. The core impact of duty cycle on the plant performance is handled via effective output and efficiency utilizing basic performance correction curves. The impact of plant start and load ramps on the effective performance parameters is included. Differences in reliability and total annual energy generation are handled via energy and capacity replacement terms. The resulting expanded formula, while rigorous in development and content, is still simple enough for most feasibility study type of applications. Sample calculations clearly reveal that inclusion (or omission) of one or more of these factors in the COE evaluation, however, can dramatically swing the answer from one extreme to the other in some cases.

scholarly journals Substation Related Forecasts of Electrical Energy Storage Systems: Transmission System Operator Requirements

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6207
Author(s):  
Tamara Schröter ◽  
André Richter ◽  
Jens Götze ◽  
André Naumann ◽  
Jenny Gronau ◽  
...  
Keyword(s):  
Power Plants ◽  
Storage Systems ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Transmission System ◽  
Specific Storage ◽  
Network Load ◽  
System Operator ◽  
Micro Power ◽  
The Impact

The growth in volatile renewable energy (RE) generation is accompanied by an increasing network load and an increasing demand for storage units. Household storage systems and micro power plants, in particular, represent an uncertainty factor for distribution networks, as well as transmission networks. Due to missing data exchanges, transmission system operators cannot take into account the impact of household storage systems in their network load and generation forecasts. Thus, neglecting the increasing number of household storage systems leads to increasing forecast inaccuracies. To consider the impact of the storage systems on forecasting, this paper presents a new approach to calculate a substation-specific storage forecast, which includes both substation-specific RE generation and load forecasts. For the storage forecast, storage systems and micro power plants are assigned to substations. Based on their aggregated behavior, the impact on the forecasted RE generation and load is determined. The load and generation are forecasted by combining several optimization approaches to minimize the forecasting errors. The concept is validated using data from the German transmission system operator, 50 Hertz Transmission GmbH. This investigation demonstrates the significance of using a battery storage forecast with an integrated load and generation forecast.

An Expanded Cost of Electricity Model for Highly Flexible Power Plants

2012 ◽  
Author(s):  
S. Can Gülen ◽  
Indrajit Mazumder
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Gas Turbine ◽  
Power Plants ◽  
Combined Cycle ◽  
Plant Performance ◽  
Cost Of Electricity ◽  
Renewable Power ◽  
Effective Performance ◽  
The Impact

Cost of electricity (COE) is the most widely used metric to quantify the cost-performance trade-off involved in comparative analysis of competing electric power generation technologies. Unfortunately, the currently accepted formulation of COE is only applicable to comparisons of power plant options with the same annual electric generation (kilowatt-hours) and same technology as defined by reliability, availability and operability. Such a formulation does not introduce a big error into the COE analysis when the objective is simply to compare two or more baseloaded power plants of the same technology (e.g., natural gas fired gas turbine simple or combined cycle, coal fired conventional boiler steam turbine, etc.) and the same (or nearly the same) capacity. However, comparing even the same technology class power plants, especially highly flexible advanced gas turbine combined cycle units with cyclic duties, comprising a high number of daily starts and stops in addition to emissions-compliant low-load operation to accommodate the intermittent and uncertain load regimes of renewable power generation (mainly wind and solar) requires a significant overhaul of the basic COE formula. This paper develops an expanded COE formulation by incorporating crucial power plant operability and maintainability characteristics such as reliability, unrecoverable degradation, and maintenance factors as well as emissions into the mix. The core impact of duty cycle on the plant performance is handled via effective output and efficiency utilizing basic performance correction curves. The impact of plant start and load ramps on the effective performance parameters is included. Differences in reliability and total annual energy generation are handled via energy and capacity replacement terms. The resulting expanded formula, while rigorous in development and content, is still simple enough for most feasibility study type of applications. Sample calculations clearly reveal that inclusion (or omission) of one or more of these factors in the COE evaluation, however, can dramatically swing the answer from one extreme to the other in some cases.

scholarly journals The Special Features of the Iraqi Distribution Electric Power Networks

2019 ◽  
pp. 607-616
Author(s):  
Michael A. Averbukh ◽  
Mohammed W. Abdulwahhab ◽  
Eugene V. Zhilin ◽  
Evgenia Yu. Sizganova
Keyword(s):  
Distributed Generation ◽  
Software Package ◽  
Power Plants ◽  
Distribution Networks ◽  
Power Losses ◽  
Power Networks ◽  
Voltage Level ◽  
Power Stations ◽  
Electric Power Networks ◽  
The Impact

The paper examines the impact of distributed generation facilities on the operating parameters of Iraq’s 33/11 kV distribution networks. The performed calculation of steady-state and post-emergency modes in the RastrWin3 software package showed that the networks are overloaded and therefore the voltage and power losses in the nodes and branches reach their limits. It was revealed that the most optimal technical measure that increases the voltage level in the load nodes and reduces power losses in the branches is the use of distributed generation, which includes diesel power plants and solar plants. The calculated operation modes considering connection of photo-diesel power stations to the network showed that the voltage and power losses in the nodes and branches of the circuit were significantly reduced

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