Multiobjective Optimization for Demand Response Services from a Battery Storage System

被引：0
|
作者：
Diekerhof, Michael [1 ]
Schwarz, Sebastian [1 ]
Monti, Antonello [1 ]
机构：
[1] Rhein Westfal TH Aachen, Inst Automat Complex Power Syst, Aachen, Germany
来源：
2018 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE) | 2018年
基金：
欧洲研究理事会;
关键词：
Demand Response; Flexibility; Battery Storage System; Multiobjective Optimization; Lexicographic Method;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This research analyzes an energy management system installed at an industrial production plant that coordinates a battery storage system in combination with a photovoltaic system for the day-ahead operation. The research quantifies the effect of single objective compared to multiobjective optimization for this photovoltaic-battery storage system using the lexicographic method and real electrical price and electrical demand data from a pilot site installation. The optimization results show a benefit in several metrics for combining multiple grid services using the lexicographic method, but prove the significance of the ranking of the multiple objectives. This ranking has to be done by the decision maker.
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页数：6
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