Energy-Intensive Manufacturing Enterprises as Active Players in Demand Side Management System

被引：3

作者：

Voropai, Nikolai ^{[1
]}

Styczynski, Zbigniew ^{[2
]}

Komarnicki, Przemyslaw ^{[2
]}

Stepanov, Vladimir ^{[3
]}

Suslov, Konstantin ^{[3
]}

Stashkevich, Elena ^{[3
]}

机构：

[1] RAS Irkutsk, Energy Syst Inst SB, Irkutsk, Russia

[2] Otto von Guericke Univ, Magdeburg, Germany

[3] Irkutsk Natl Res Tech Univ, Irkutsk, Russia

来源：

2016 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE) | 2016年

关键词：

Demand side management; Demand response; Electrical load curve; Electric power system; Active consumers; ELECTRICITY; GAME;

D O I：

10.1109/ISGTEurope.2016.7856321

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Nowadays, one of the primary problems in the energy industry is ensuring rational operating conditions of electric power systems under variable loads and with regard to cost-effectiveness and technical capabilities of power plants. Supply fluctuated load considerably increases the costs in the power systems. The price of electricity in the case by changed load is generally higher than by constant load. This price cannot be decreased without cooperation with consumers. The last decade has shown an intensive adoption of new smart tools and technologies for automation in the electricity supply systems, which make it possible to increase the speed of receiving, transferring, processing and mapping the information, and to implement new capabilities of active behavior of consumers in managing their electricity demand on the basis of market mechanisms. The paper addresses a technique for the optimization of daily load curve for the case of a specified tariff mix. The genetic algorithms are used to apply the cost benefits. The usefulness of this method is illustrated by two case studies of energy-intensive manufacturing enterprises as active consumers and players on the energy market

引用

页数：6