The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, a mathematical approach for the optimal planning of integrated energy systems is proposed. In order to address the challenges of future, RES-dominated energy systems, the model deliberates between the expansion of traditional energy infrastructures, the integration of these infrastructures using conversion technologies (e.g. gas-to-electricity-and-heat, power-to-heat, power-to-gas),...
This paper presents a stochastic bi-level optimization model to determine the optimal dispatch of energy storage systems controlled directly by the distribution system operator (DSO) in order to achieve minimization of active power losses, taking into account the profit-driven participation of wind-power producers (WPPs) connected to the distribution system, in the day-ahead and imbalance markets...
During the last few decades, the concept of demand response (DR) in the energy sector has gained substantial momentum. Research has led to a range of DR solutions. These solutions mostly differ in their applications, the hosting power system, the energy market etc. Moreover, as per the EU directive, DR aggregators should be allowed to trade DR alongside supply in both day-ahead and real time electricity...
Distribution network operators require more advanced planning tools to deal with the challenges of future network planning. An appropriate planning and optimization tool can identify which option for network extension should be selected from available alternatives. However, the evaluation part in these optimization approaches results in many power flow calculations, especially in case of networks...
Distribution network operators require more advanced planning tools to deal with the challenges of future network planning. An appropriate planning and optimization tool can identify which option for network extension should be selected from available alternatives. However, many optimization approaches described in the literature are quite theoretical and do not yield results that are practically...
This paper describes an alternative scenario for operation of medium voltage (MV) cable distribution grids. Grid losses are one of the largest expenses for distribution system operators (DSOs). In order to achieve a reduction of these losses a closed-ring operation strategy is proposed. By meanwhile introducing distribution automation into the grid, a high reliability can still be guaranteed. The...
The living lab demonstration project PowerMatching City is a clear example of how distribution networks can take advantage of the increasing number of Distributed Energy Resources (DER). Due to the applied decentralized market model in this project, DER become active players on the local market. Battery energy storage systems are DER that can provide flexibility and grid support. This paper presents...
The sustainable transition towards a smarter electricity system with an emphasis on decentralized systems and additional functionalities will be facilitated in the near future by smart (micro) grids. Smart (micro) Grids are very complex systems which must be developed in an efficient, effective and transparent way. A smart (micro) grid isn't “just” a technological concept but a multi-, inter- and...
Electric vehicles are expected to have a significant impact on electricity grids. Intelligent charging strategies are suggested by literature and tested in the field to prevent overloading of network assets in electricity grids by using the flexibility of electro-mobility. This paper covers an analysis of a fleet of electric vehicles that were measured for more than a year and assesses the amount...
The Smart Storage Unit (SSU) is a centralized smart battery system, capable of storing approximately 230 kWh of electrical energy. Its objectives are the increase of self-consumption, reliability and flexibility, to reduce losses and to maximize the utilization of local infrastructure. First, a technical description of the SSU is given. Furthermore, this paper focuses on increasing reliability through...
The planning of medium voltage (MV) distribution networks is a challenging optimization problem due to its scale, its inherent uncertainty, and non-linear nature. In the international technical literature, there are many different optimization models and methods available to approach this planning problem. However, the models described in literature only take in consideration the classic expansion...
This paper considers the technical and economical feasibility of the introduction of automated demand response from domestic smart appliances in a European setting as a means to create a significant amount of regulating power. Simplified power-time flexibility models for appliances are introduced on which generic economic simulations can be based. These simulations permit a good indication of the...
This paper describes the need and requirements for advanced decision support tools in future network planning from a distribution network operator perspective. The existing tools will no longer be satisfactory for future application due to present developments in the electricity sector that increase uncertainty. Advanced decision support tools can help network planners to select among the numerous...
Normal operation of an active distribution network (ADN) requires simultaneous optimization of different objectives of the various involved actors. This results in a multi-objective optimization problem which has not yet been treated completely. This paper considers a particular relationship between commercial and technical coordination, involving capacity management of the distribution network. First,...
Implementation of distribution automation into medium and low voltage grids is gaining more and more support amongst distribution grid operators. In order to assess the feasibility and usefulness of dynamic network reconfiguration for the purpose of reducing losses and increasing available network capacity, it is necessary to know to what extent simultaneity amongst MV/LV transformers within distribution...
Efficient operation and planning of power systems is important for a reliable and sustainable electricity supply. Therefore, optimization techniques have been applied to several optimization problems in power systems in order to achieve technical and economic efficiency. This paper presents an overview of existing optimization techniques and applications in power systems, with a special focus on multi-objective...
Short-term load forecasting is a crucial step for proper operation of a battery energy storage system. In this paper, an artificial neural network forecaster is used for hourly based forecasting of the distributed power generation and load consumption. This paper focusses on using mutual information for the selection of training data for the artificial neural network models of the forecaster. The...
This paper investigates the use of low voltage DC distribution network for rural electrification within an intelligent grid concept. The goal is to provide local communities in sparsely populated areas with electricity supply generated from renewable energy sources. Since these communities subsist with no grid connectivity, they require a concept of micro-grid whereby individual Solar Home Systems...
Smart Grids have been one of the prime focuses of studies for the past few years on power systems. The goal is to make the power infrastructure more reliable and effective to cater for the needs of the future. Another goal for improving the power infrastructure is to incorporate renewable energy sources in an efficient and cost-effective manner. The popularity of solar PV has increased in recent times...
The impacts of EV charging on electricity grids is becoming an increasingly important subject of study, but detailed knowledge about the future charging profiles of EVs appears to be missing. In this study we construct EV charge profiles based upon a large dataset of driving patterns. We consider both controlled and uncontrolled charging scenarios, where the main rationale of the controlled charging...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.