Conjoint Dynamic Aggregation and Scheduling Methods for Dynamic Virtual Power Plants

被引：0

作者：

Niesse, Astrid ^{[1
]}

Beer, Sebastian ^{[1
]}

Bremert, Joerg ^{[2
]}

Hinrichs, Christian ^{[2
]}

Luensdorf, Ontje ^{[1
]}

Sonnenschein, Michael ^{[2
]}

机构：

[1] OFFIS Inst Informat Technol, R&D Div Energy, D-26121 Oldenburg, Germany

[2] Carl von Ossietzky Univ Oldenburg, Dept Comp Sci, Environm Informat, D-26111 Oldenburg, Germany

来源：

FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2014 | 2014年 / 2卷

关键词：

Smart Grid; Virtual Power Plant; Agent-Based Control; Self-Organization; EVOLUTIONARY ALGORITHMS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The increasing pervasion of information and communication technology (ICT) in energy systems allows for the development of new control concepts on all voltage levels. In the distribution grid, this development is accompanied by a still increasing penetration with distributed energy resources like photovoltaic (PV) plants, wind turbines or small scale combined heat and power (CHP) plants. Combined with shiftable loads and electrical storage, these energy units set up a new flexibility potential in the distribution grid that can be tapped with ICT-based control following the long-term goal of substituting conventional power generation. In this contribution, we propose an architectural model and algorithms for the self-organization of these distributed energy units within dynamic virtual power plants (DVPP) along with first results from a feasibility study of the integrated process chain from market-driven DVPP formation to product delivery.

引用

页码：1505 / 1514

页数：10