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Development of a system prototype for control of industrial loads an dispersed electrical power plants on a distribution electrical gri

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Page 1: Development of a system prototype for control of industrial loads and dispersed electrical power plants on a distribution electrical grid

Development of a system prototype for control of industrial loads and dispersed electrical power plants on a distribution electrical grid

Page 2: Development of a system prototype for control of industrial loads and dispersed electrical power plants on a distribution electrical grid

Basic data about the project

INEA d.o.o. , control and managment of industrial processes

Elektro Ljubljana d.d., electrical distributor, supplier

Količevo Karton d.o.o., paper plant

Koto d.o.o., waste processing plant

Livar d.d., foundry

Papirnica Vevče d.o.o., paper plant

EIMV, electric power research institute

Faculty of Electrical Engineering

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Participants:

Page 3: Development of a system prototype for control of industrial loads and dispersed electrical power plants on a distribution electrical grid

Basic data about the project

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IJS , Slovenian scientific research institute

VBG d.o.o., creative design center

Project lifetime

From 21.1.2009 until 22.1.2010

Financing

The part of the project is financed by European Union and Slovenian Technology Agency.

Page 4: Development of a system prototype for control of industrial loads and dispersed electrical power plants on a distribution electrical grid

KIBERnet Virtual Power Plant Product

Page 5: Development of a system prototype for control of industrial loads and dispersed electrical power plants on a distribution electrical grid

Site server – KIBERsik, KIBERbox

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Product Overview

1. Peak demand levelling system by load shedding

2. Optimal management of local energy sources

3. Optimal time scheduling of high energy consuming processes

4. Power consumption and electric loads control

Effects

1. Peak electricity reduction from 8% to 30% ( 13% on average)

2. Cost reduction on electric power from 5% to 25% of electricity costs

3. Optimal management of production and energy processes

4. Increase of the internal security of energy supply

Reducing Load Local Power Generation

Forcasted Consumption

Real Consumption

Page 6: Development of a system prototype for control of industrial loads and dispersed electrical power plants on a distribution electrical grid

TSO DSO Supplier Aggregator Consumer Producer Prosumer

KIBERnet users

Virtual Power Plant System

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KIBERnet Complete Solutions