“…The method of defining and calculating a scenario for the regional distribution of RES, CHP plants and the electrical load is called regionalization, making use of the so called regionalization factors. In [3] it has been shown that the use of different regionalization factors can lead to significantly varying RES and load distributions.…”
Section: A Regionalization Methodsmentioning
confidence: 99%
“…Therefore, the universal validity of the studies' outcome is questionable. To address this problem in this paper, we merge a revised version of the regionalization model presented in [2] and [3] with an electricity market model to allow the automated computation of scenarios for further investigations, for example the application in network development studies.…”
Section: A Regionalization Methodsmentioning
confidence: 99%
“…Both load components are linked to a corresponding regionalization factor (see [3]) that defines their location within the simulated market zones. The absolute value of the electrical load over the course of time is defined by today's shape of the load, published by the ENTSO-E in [12].…”
Section: A Modeling Of Disaggregated Electrical Loadmentioning
confidence: 99%
“…The installed capacity of every supply-dependent power generation technology and CHP units is separately regionalized by the application of a technology specific regionalization factor as explained in [3]. Based on the installed capacity and the yield of the primary energy at a specific location, the energy production is simulated.…”
Section: B Modeling Of Supply-dependent Power Generationmentioning
The increasing feed-in of Renewable Energy Sources (RES) and the coupling of electricity markets fundamentally change the European energy system. To investigate the impact of these developments, models are necessary which provide regionally disaggregated load and generation time series as an estimate of future system states. With the Model of International Energy Systems (MILES), this paper presents a market model for simulating demand and supply of electrical energy under consideration of generation and transmission constraints. Previous versions of MILES have already been applied in several energy system studies. As important characteristics, the model enables to generate spatially high-resolution feed-in time series of RES as well as Combined Heat and Power (CHP) plants and to perform one-year simulations for determining costminimal hourly generation schedules of thermal and pumped storage power plants. MILES is validated by the comparison of simulation results for the ENTSO-E region for the year 2013 with published historical data.
“…The method of defining and calculating a scenario for the regional distribution of RES, CHP plants and the electrical load is called regionalization, making use of the so called regionalization factors. In [3] it has been shown that the use of different regionalization factors can lead to significantly varying RES and load distributions.…”
Section: A Regionalization Methodsmentioning
confidence: 99%
“…Therefore, the universal validity of the studies' outcome is questionable. To address this problem in this paper, we merge a revised version of the regionalization model presented in [2] and [3] with an electricity market model to allow the automated computation of scenarios for further investigations, for example the application in network development studies.…”
Section: A Regionalization Methodsmentioning
confidence: 99%
“…Both load components are linked to a corresponding regionalization factor (see [3]) that defines their location within the simulated market zones. The absolute value of the electrical load over the course of time is defined by today's shape of the load, published by the ENTSO-E in [12].…”
Section: A Modeling Of Disaggregated Electrical Loadmentioning
confidence: 99%
“…The installed capacity of every supply-dependent power generation technology and CHP units is separately regionalized by the application of a technology specific regionalization factor as explained in [3]. Based on the installed capacity and the yield of the primary energy at a specific location, the energy production is simulated.…”
Section: B Modeling Of Supply-dependent Power Generationmentioning
The increasing feed-in of Renewable Energy Sources (RES) and the coupling of electricity markets fundamentally change the European energy system. To investigate the impact of these developments, models are necessary which provide regionally disaggregated load and generation time series as an estimate of future system states. With the Model of International Energy Systems (MILES), this paper presents a market model for simulating demand and supply of electrical energy under consideration of generation and transmission constraints. Previous versions of MILES have already been applied in several energy system studies. As important characteristics, the model enables to generate spatially high-resolution feed-in time series of RES as well as Combined Heat and Power (CHP) plants and to perform one-year simulations for determining costminimal hourly generation schedules of thermal and pumped storage power plants. MILES is validated by the comparison of simulation results for the ENTSO-E region for the year 2013 with published historical data.
“…With regard to the pan-European model, the electricity market and transmission grid simulation framework MILES (Model of International Energy Systems) is applied. The regionalization module of MILES [8] calculates time series for feed-in of RES and the electrical load for 34 countries in Europe. Based on historical load profiles and historical weather data, MILES spatially disaggregates time series data (typically on country level) to regional clusters.…”
Section: An Ambitious Scenario Analysis Supporting Long-term Plannmentioning
This paper describes the main features of the new European research project FlexPlan. This project aims at establishing a new grid planning methodology considering the opportunity to introduce new storage and flexibility resources in electricity transmission and distribution grids as an alternative to building new grid elements. FlexPlan will create a new innovative grid planning tool whose ambition is to go beyond the state of the art of planning methodologies, by including the following innovative features: integrated transmission distribution planning, inclusion of environmental analysis, probabilistic contingency methodologies replacing the N-1 criterion as well as optimal planning decision over several decades. Then, the new tool will be used to analyse six regional cases covering nearly the whole European continent, aimed at demonstrating the application of the tool on real scenarios as well as at casting a view on grid planning in Europe till 2050. In this way, the FlexPlan project will try to answer the question of which role flexibility could play and how its usage can contribute to reduce planning investments yet maintaining current system security levels. The project will end up formulating guidelines for regulators and planning offices of system operators.
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