Implementation of Internet based Demand Controlling System

Ishida, Shigemi; Roesener, C.; Ichimura, J.; Nishi, Hiroaki

doi:10.1109/indin.2006.275830

Cited by 19 publications

(4 citation statements)

References 5 publications

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“…It achieves a tree-based distributed and load balancing system. This tree-based structure can reduce the total amount of communication, and it can avoid network congestion [6]. This structure is also suitable for sharing data and scalability of the system configuration.…”

Section: Knives Servermentioning

confidence: 99%

Evaluation of cooperative demand control system on micro grid

Mine

Handa

Tachikawa

et al. 2009

2009 35th Annual Conference of IEEE Industrial Electronics

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KNIVES (Keio University Network oriented Intelligent and Versatile Energy saving System) is an IT based supply and demand side management system that supports distributed and cooperative power control. In this study, KNIVES is constructed on a real experimental facility of microgrid. The facility includes some distributed power generator and controllable/uncontrollable loads. It is also connected with general power grid. Therefore, it can introduce the electric power from the power grid when the power supply is insufficient. An experiment of demand control was achieved in this facility and the affectivity of KNIVES was confirmed. In this experiment, error ratio of demand balancing with distributed and cooperative demand controls were evaluated and compared with that without the demand control.

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Section: Knives Servermentioning

confidence: 99%

Evaluation of cooperative demand control system on micro grid

Mine

Handa

Tachikawa

et al. 2009

2009 35th Annual Conference of IEEE Industrial Electronics

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“…Basic tariff by transformer capacity or maximum demand billing, so for transformer load rate is not high customer will choose a more economical by maximum demand billing. The maximum power demand electricity load of the power system is arbitrary intervals within a month of the maximum average load of 15 minutes, which reflects the impact load any month occurred within 15 minutes of the size [1][2] . Reduce the maximum load demand can both reduce the impact on the grid, but also can help companies reduce production costs.…”

Section: Introductionmentioning

confidence: 99%

Simulation of electric arc furnace steel plant power distribution control

Xie

2014

The 2nd IEEE Conference on Power Engineering and Renewable Energy (ICPERE) 2014

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The iron and steel enterprises steel-making in electric arc furnace, Useful electrical load and frequent fluctuations. Power control is an effective means of power demand side management, power side can help save costs, while reducing its impact on the load of the grid. This paper presents arc furnace power distribution control based on the electricity demand realtime control strategy. First, according to electric arc furnace energy conservation equation, in the MATLAB environment, established power model of electric arc furnace. Direct access to real time control test system of arc furnace model will be proposed, simulation results of power allocation of electric arc furnace control system and the basic line, which verifies the validity of the model. The electric arc furnace based simulation model, composed of electric arc furnace control simulation model, control all electrical demand is limited. Due to large industrial enterprise running a two-part electricity price, therefore the control of power is important to the enterprise.

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“…In [6] peak shaving using buildings of small and medium sized enterprises is attempted, focusing on environmental data. Meisel et al [7] proposes the concept of a virtual power plant using the public infrastructure, like fresh and waste water processing, in combination with households, and analyzes the available load shifting potential.…”

Section: Introductionmentioning

confidence: 99%

A generalized load management gateway coupling smart buildings to the grid

et al. 2011

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Buildings are currently largely passive participants in the electric grid. As functional and residential buildings are responsible for a sizeable share of energy consumption in the industrialized world, use in demand side management schemes is a promising area in a future smart power grid. As each individual building, especially in the residential sector, offers only limited load shifting potential and associated financial gain, acceptance of demand response programs that require manual user interaction is unlikely. Instead, schemes based on automatic control are a viable alternative. This paper proposes a building agent, which acts as load management gateway, autonomously managing a building as a single unit, utilizing load models on one hand and a generic communication scheme that avoids close coupling of building and grid on the other hand. The agent manipulates the consumption profile of the building in a way, which matches the demands of the smart grid and offers the resulting load shifting potential to the grid.

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Implementation of Internet based Demand Controlling System

Cited by 19 publications

References 5 publications

Evaluation of cooperative demand control system on micro grid

Evaluation of cooperative demand control system on micro grid

Simulation of electric arc furnace steel plant power distribution control

A generalized load management gateway coupling smart buildings to the grid

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