The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform

Zdeněk Bradáč - One of the best experts on this subject based on the ideXlab platform.

  • Simulator for optimal scheduling of Domestic Appliances
    IFAC-PapersOnLine, 2015
    Co-Authors: Václav Kaczmarczyk, Petr Fiedler, Zdeněk Bradáč, Lesek Franek, Jan Pasek
    Abstract:

    Abstract Introduction of real-time pricing models for the price of electricity may lead to a reduction in both economic and environmental burden compared with existing models. Thanks to the timely response to price changes during the day the user can achieve a reduction in the payments for energy. However, recent studies show that lack of knowledge of users and their unwillingness to adapt their habits to changing energy prices is the biggest obstacle to successful implementation of the model. In our work, we propose to solve this problem by introducing automatic optimal energy consumption scheduling framework. This article presents the authors extension in the past created MILP model for the optimization of household Appliances. The model is extended by rules of behavior that allows preserving logical links in the course of periodically triggered optimization (so called receding horizon). We also present and test the software simulator, in which the designed model is implemented. The application simulates the operation of Building Energy Manager, which based on user preferences, prediction electricity prices and other important parameters controls the operation of Appliances in the house.

  • Optimal Scheduling of Domestic Appliances via MILP
    Energies, 2014
    Co-Authors: Petr Fiedler, Václav Kaczmarczyk, Zdeněk Bradáč
    Abstract:

    This paper analyzes a consumption scheduling mechanism for Domestic Appliances within a home area network. The aim of the proposed scheduling is to minimize the total energy price paid by the consumer and to reduce power peaks in order to achieve a balanced daily load schedule. An exact and computationally efficient mixed-integer linear programming (MILP) formulation of the problem is presented. This model is verified by several problem instances. Realistic scenarios based on the real price tariffs commercially available in the Czech Republic are calculated. The results obtained by solving the optimization problem are compared with a simulation of the ripple control service currently used by many Domestic consumers in the Czech Republic.

Petr Fiedler - One of the best experts on this subject based on the ideXlab platform.

  • Simulator for optimal scheduling of Domestic Appliances
    IFAC-PapersOnLine, 2015
    Co-Authors: Václav Kaczmarczyk, Petr Fiedler, Zdeněk Bradáč, Lesek Franek, Jan Pasek
    Abstract:

    Abstract Introduction of real-time pricing models for the price of electricity may lead to a reduction in both economic and environmental burden compared with existing models. Thanks to the timely response to price changes during the day the user can achieve a reduction in the payments for energy. However, recent studies show that lack of knowledge of users and their unwillingness to adapt their habits to changing energy prices is the biggest obstacle to successful implementation of the model. In our work, we propose to solve this problem by introducing automatic optimal energy consumption scheduling framework. This article presents the authors extension in the past created MILP model for the optimization of household Appliances. The model is extended by rules of behavior that allows preserving logical links in the course of periodically triggered optimization (so called receding horizon). We also present and test the software simulator, in which the designed model is implemented. The application simulates the operation of Building Energy Manager, which based on user preferences, prediction electricity prices and other important parameters controls the operation of Appliances in the house.

  • Optimal Scheduling of Domestic Appliances via MILP
    Energies, 2014
    Co-Authors: Petr Fiedler, Václav Kaczmarczyk, Zdeněk Bradáč
    Abstract:

    This paper analyzes a consumption scheduling mechanism for Domestic Appliances within a home area network. The aim of the proposed scheduling is to minimize the total energy price paid by the consumer and to reduce power peaks in order to achieve a balanced daily load schedule. An exact and computationally efficient mixed-integer linear programming (MILP) formulation of the problem is presented. This model is verified by several problem instances. Realistic scenarios based on the real price tariffs commercially available in the Czech Republic are calculated. The results obtained by solving the optimization problem are compared with a simulation of the ripple control service currently used by many Domestic consumers in the Czech Republic.

Václav Kaczmarczyk - One of the best experts on this subject based on the ideXlab platform.

  • Simulator for optimal scheduling of Domestic Appliances
    IFAC-PapersOnLine, 2015
    Co-Authors: Václav Kaczmarczyk, Petr Fiedler, Zdeněk Bradáč, Lesek Franek, Jan Pasek
    Abstract:

    Abstract Introduction of real-time pricing models for the price of electricity may lead to a reduction in both economic and environmental burden compared with existing models. Thanks to the timely response to price changes during the day the user can achieve a reduction in the payments for energy. However, recent studies show that lack of knowledge of users and their unwillingness to adapt their habits to changing energy prices is the biggest obstacle to successful implementation of the model. In our work, we propose to solve this problem by introducing automatic optimal energy consumption scheduling framework. This article presents the authors extension in the past created MILP model for the optimization of household Appliances. The model is extended by rules of behavior that allows preserving logical links in the course of periodically triggered optimization (so called receding horizon). We also present and test the software simulator, in which the designed model is implemented. The application simulates the operation of Building Energy Manager, which based on user preferences, prediction electricity prices and other important parameters controls the operation of Appliances in the house.

  • Optimal Scheduling of Domestic Appliances via MILP
    Energies, 2014
    Co-Authors: Petr Fiedler, Václav Kaczmarczyk, Zdeněk Bradáč
    Abstract:

    This paper analyzes a consumption scheduling mechanism for Domestic Appliances within a home area network. The aim of the proposed scheduling is to minimize the total energy price paid by the consumer and to reduce power peaks in order to achieve a balanced daily load schedule. An exact and computationally efficient mixed-integer linear programming (MILP) formulation of the problem is presented. This model is verified by several problem instances. Realistic scenarios based on the real price tariffs commercially available in the Czech Republic are calculated. The results obtained by solving the optimization problem are compared with a simulation of the ripple control service currently used by many Domestic consumers in the Czech Republic.

Ingo Kaiser - One of the best experts on this subject based on the ideXlab platform.

  • Supervisionai load optimization for households with intelligent Domestic Appliances
    2016 10th International Conference on Compatibility Power Electronics and Power Engineering (CPE-POWERENG), 2016
    Co-Authors: Karl Stephan Stille, Joachim Bocker, Norbert Frohleke, Ralf Bettentrup, Ingo Kaiser
    Abstract:

    An environment with time-variable electricity tariffs for private customers is an incentive to enable shifting of electrical loads to times of high generation. However, with automatically optimizing Domestic Appliances, load peaks arise, as all Appliances choose the same least-cost operation time. This publication presents a system for household-wide optimization to avoid same-time operation of appliance while still optimizing for least overall cost. It facilitates integration into a hierarchical optimization scheme with another load optimizer on local grid level.

  • Local grid load coordination for load-shiftable Domestic Appliances in a variable-tariff environment
    2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe), 2016
    Co-Authors: Karl Stephan Stille, Joachim Bocker, Norbert Frohleke, Ralf Bettentrup, Ingo Kaiser
    Abstract:

    Some Domestic Appliances can shift their load by a least-cost optimization in a variable-tariff environment. As decisions of all Appliances are highly correlated, high load peak arise. With the presented coordination in an optimization hierarchy, load peak is significantly lowered by load distribution in time.

  • Concept for a hierarchical load control for Domestic Appliances in smart grids
    2014 International Conference on Advances in Green Energy (ICAGE), 2014
    Co-Authors: Karl Stephan Stille, Joachim Bocker, Ralf Bettentrup, Ingo Kaiser
    Abstract:

    Domestic Appliances of the category of "white goods" take an appreciable part of the total private electrical energy consumption. This paper presents a structure and strategy for optimal operation of white goods under circumstances of fluctuating electrical energy prices due to volatile generation of renewable energy sources. The proposed concept uses an decentralized energy management system, which is distributed over three levels of hierarchy: appliance level, household level and local distribution grid level. At the appliance level, unlike other approaches, this concept also takes into account the operational variabilities of the Appliances.

Karl Stephan Stille - One of the best experts on this subject based on the ideXlab platform.

  • Supervisionai load optimization for households with intelligent Domestic Appliances
    2016 10th International Conference on Compatibility Power Electronics and Power Engineering (CPE-POWERENG), 2016
    Co-Authors: Karl Stephan Stille, Joachim Bocker, Norbert Frohleke, Ralf Bettentrup, Ingo Kaiser
    Abstract:

    An environment with time-variable electricity tariffs for private customers is an incentive to enable shifting of electrical loads to times of high generation. However, with automatically optimizing Domestic Appliances, load peaks arise, as all Appliances choose the same least-cost operation time. This publication presents a system for household-wide optimization to avoid same-time operation of appliance while still optimizing for least overall cost. It facilitates integration into a hierarchical optimization scheme with another load optimizer on local grid level.

  • Local grid load coordination for load-shiftable Domestic Appliances in a variable-tariff environment
    2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe), 2016
    Co-Authors: Karl Stephan Stille, Joachim Bocker, Norbert Frohleke, Ralf Bettentrup, Ingo Kaiser
    Abstract:

    Some Domestic Appliances can shift their load by a least-cost optimization in a variable-tariff environment. As decisions of all Appliances are highly correlated, high load peak arise. With the presented coordination in an optimization hierarchy, load peak is significantly lowered by load distribution in time.

  • Local demand response and load planning system for intelligent Domestic Appliances
    2015 International Conference on Renewable Energy Research and Applications (ICRERA), 2015
    Co-Authors: Karl Stephan Stille, Joachim Bocker
    Abstract:

    An energy management system for intelligent Domestic Appliances is presented, optimizing the operation of Appliances in an environment with time-variable energy tariffs. In a standalone operation this results in a least-cost operation of the appliance. As these time-variable tariffs reflect the availability of generated power, particularly of renewables, the proposed system helps consuming electrical energy when renewable generation is high and vice versa. By static load shifting the process cost can be lowered. The proposed system guarantees the same process results tough operation programs are different or the process is interrupted. By this the load shifting potential is maximized. Besides the standalone mode, the proposed system can be the viewed as lowest level optimizer in a hierarchical optimization structure spanning from the Domestic appliance over the complete household up to the local distribution grid or even further. In this operation mode the optimizer pre-optimizes the possible operation programs and starting times of the appliance and sends a set of possible optimal and near-optimal solutions to the household energy management system. By pre-optimizing the resulting load flexibilities and offering them to the household level optimizer, these flexibilities can be used for peak shaving or valley filling on that or even on a higher level.

  • Concept for a hierarchical load control for Domestic Appliances in smart grids
    2014 International Conference on Advances in Green Energy (ICAGE), 2014
    Co-Authors: Karl Stephan Stille, Joachim Bocker, Ralf Bettentrup, Ingo Kaiser
    Abstract:

    Domestic Appliances of the category of "white goods" take an appreciable part of the total private electrical energy consumption. This paper presents a structure and strategy for optimal operation of white goods under circumstances of fluctuating electrical energy prices due to volatile generation of renewable energy sources. The proposed concept uses an decentralized energy management system, which is distributed over three levels of hierarchy: appliance level, household level and local distribution grid level. At the appliance level, unlike other approaches, this concept also takes into account the operational variabilities of the Appliances.