The Experts below are selected from a list of 51 Experts worldwide ranked by ideXlab platform

Chulhwan Kim - One of the best experts on this subject based on the ideXlab platform.

  • Optimal operation of DC smart house system by controllable loads based on smart grid topology
    Renewable Energy, 2012
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Tomonobu Senjyu, Kazuki Ogimi, Toshihisa Funabashi, Akihiro Yoza, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all-electric apartment houses or residence such as DC smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. Smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.

  • optimal operation by controllable loads based on smart grid topology considering insolation forecasted error
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Kousuke Uchida, Kazuki Ogimi, Tomonori Goya, T Senjy, Toshihisa Funabashi, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all electric apartment houses or residence such as dc smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. The smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of a photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.

Kenichi Tanaka - One of the best experts on this subject based on the ideXlab platform.

  • Optimal operation of DC smart house system by controllable loads based on smart grid topology
    Renewable Energy, 2012
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Tomonobu Senjyu, Kazuki Ogimi, Toshihisa Funabashi, Akihiro Yoza, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all-electric apartment houses or residence such as DC smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. Smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.

  • optimal operation by controllable loads based on smart grid topology considering insolation forecasted error
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Kousuke Uchida, Kazuki Ogimi, Tomonori Goya, T Senjy, Toshihisa Funabashi, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all electric apartment houses or residence such as dc smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. The smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of a photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.

Atsushi Yona - One of the best experts on this subject based on the ideXlab platform.

  • demand response considering participation rate in smart grid two level optimal management for disco and customers
    International Conference on Control Automation and Systems, 2017
    Co-Authors: Ryuto Shigenobu, Atsushi Yona, Tomonobu Senjyu
    Abstract:

    High penetration of distributed generators (DGs), using renewable energy sources (RESs), is raising some important issues in the operation of modern power system. The power output of RESs fluctuates very steeply, and that include uncertainty with weather conditions. This situation causes voltage deviation and reverse power flow. Several methods have been proposed for solving these problems. Fundamentally, these methods involve reactive power control for voltage deviation and/or the installation of large battery energy storage system (BESS) at the Interconnection Point for reverse power flow. In order to reduce the installation cost of static var compensator (SVC), Distribution Company (DisCo) gives reactive power incentive to the cooperating customers. On the other hand, photovoltaic (PV) generator, energy storage and electric vehicle (EV) are introduced in customer side with the aim of achieving zero net energy homes (ZEHs). This paper proposes not only reactive power control but also active power flow control using house BESS and EV. Moreover, incentive method is proposed to promote participation of customers in the control operation. Demand response (DR) system is verified with several DR menu. To create profit for both side of DisCo and customer, two level optimization approach is executed in this research. Mathematical modeling of price elasticity and detailed simulations are executed by case study. The effective of proposed incentive menu is demonstrated by using heuristic optimization method.

  • Optimal operation of DC smart house system by controllable loads based on smart grid topology
    Renewable Energy, 2012
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Tomonobu Senjyu, Kazuki Ogimi, Toshihisa Funabashi, Akihiro Yoza, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all-electric apartment houses or residence such as DC smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. Smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.

  • optimal operation by controllable loads based on smart grid topology considering insolation forecasted error
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Kousuke Uchida, Kazuki Ogimi, Tomonori Goya, T Senjy, Toshihisa Funabashi, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all electric apartment houses or residence such as dc smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. The smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of a photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.

Toshihisa Funabashi - One of the best experts on this subject based on the ideXlab platform.

  • Optimal operation of DC smart house system by controllable loads based on smart grid topology
    Renewable Energy, 2012
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Tomonobu Senjyu, Kazuki Ogimi, Toshihisa Funabashi, Akihiro Yoza, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all-electric apartment houses or residence such as DC smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. Smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.

  • optimal operation by controllable loads based on smart grid topology considering insolation forecasted error
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Kousuke Uchida, Kazuki Ogimi, Tomonori Goya, T Senjy, Toshihisa Funabashi, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all electric apartment houses or residence such as dc smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. The smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of a photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.

Kazuki Ogimi - One of the best experts on this subject based on the ideXlab platform.

  • Optimal operation of DC smart house system by controllable loads based on smart grid topology
    Renewable Energy, 2012
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Tomonobu Senjyu, Kazuki Ogimi, Toshihisa Funabashi, Akihiro Yoza, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all-electric apartment houses or residence such as DC smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. Smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.

  • optimal operation by controllable loads based on smart grid topology considering insolation forecasted error
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Kenichi Tanaka, Atsushi Yona, Kousuke Uchida, Kazuki Ogimi, Tomonori Goya, T Senjy, Toshihisa Funabashi, Chulhwan Kim
    Abstract:

    From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all electric apartment houses or residence such as dc smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. The smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the Interconnection Point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the Interconnection Point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of a photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.