Development Of An Agent-based Model For Assessing The Market And Grid Oriented Operation Of Distributed Energy Resources. (October 2017)

• Record Type: Journal Article
• Authors: Kulms, Tom; Meinerzhagen, Ann-Kathrin; Koopmann, Simon; Schnettler, Armin
• Is Part Of: Energy procedia. Volume 135(2017)
• Page Start: 294
• Page End: 303
• Publication Date: 2017-10
• Subjects: Flexibility Options -- Smart Homes -- Virtual Power Plants -- Operational Planning -- Grid Congestion Management; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2017.09.521
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: The increasing share of renewable distributed energy resources (DERs) entails a rising number of congestions and consequently the need for grid expansion measures in distribution grids. Preventive congestion management measures using flexibility options are a frequently discussed alternative for grid expansion. The flexibility options in distribution grids comprise flexible generation and load management as well as storage systems. However, preventive congestion management is not yet established in distribution grids. Traffic light concepts and flexibility markets are among the congestion management concepts in discussion. In order to determine the optimal design option for the future, a model for the quantitative assessment and simulation of different congestion management measures (CMMs) is needed. This publication presents a newly developed agent-based model for the evaluation of different congestion management concepts considering the perspectives of electricity market-oriented grid users and distribution system operators (DSOs). The market-oriented grid users can be divided into two major categories: Smart Homes (SHs) and Virtual Power Plants (VPPs). Both concepts combine synergies from distributed energy technologies. Four different congestion management concepts are analyzed with the model for an exemplary test case. The analysis of the test case shows that the necessary amount of curtailment in distribution grids can be reduced, when actively using SHs as part of a preventive congestion management. Depending on the considered CMM, the reduction of curtailment in the examined distribution grid ranges from 15% to 35%. The most promising strategy, a market-based flexibility deployment, reduces the curtailment costs for the DSO by 33% compared to the curtailment needed without the use of flexibilities.