3 years ago

Distributed Economic Dispatch for Energy Internet Based on Multi-Agent Consensus Control.

Wushun Chen, Tao Li

We consider the economic dispatch (ED) for an Energy Internet composed of energy routers (ERs), interconnected microgrids and main grid. The microgrid consists of several bus nodes associated with distributed generators (DGs) and intelligent control units (ICUs). We propose a distributed ED algorithm for the grid-connected microgrid, where each ICU iterates the incremental cost of each DG and the estimation for the average power mismatch of the whole microgrid by leader-following and average consensus algorithms, respectively. The energy router iterates the incremental power exchanged with the distribution system. By constructing an auxiliary consensus system, we prove that if the network topology of the Energy Internet contains a spanning tree with the energy router as the root and there is a path from each bus node to the energy router, then the incremental costs of all DGs converge to the electricity price of the distribution system, the power supply and demand achieves balance and the ED achieves optimal asymptotically. Furthermore, we propose an autonomous distributed ED algorithm covering both grid-connected and isolated modes of the microgrid by feeding back the estimated average power mismatch for updating the incremental costs. It is proved that if the network topology of the microgrid is connected and there exists a bus node bi-directionally neighboring the energy router, then the microgrid can switches between the two modes reliably. The simulation results demonstrate the effectiveness of the proposed algorithms.

Publisher URL: http://arxiv.org/abs/1812.09460

DOI: arXiv:1812.09460v4

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.