Next Article in Journal
An Algorithm to Translate Building Topology in Building Information Modeling into Object-Oriented Physical Modeling-Based Building Energy Modeling
Next Article in Special Issue
Energy Optimization and Management of Demand Response Interactions in a Smart Campus
Previous Article in Journal
Power Generation from Concentration Gradient by Reverse Electrodialysis in Dense Silica Membranes for Microfluidic and Nanofluidic Systems
Previous Article in Special Issue
Cyber Risk Assessment of Transmission Lines in Smart Grids
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Energies 2016, 9(1), 48; doi:10.3390/en9010048

Optimal Bidding Strategy for Renewable Microgrid with Active Network Management

1
Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, Korea
2
Power System Research Division, Korea Electrical Engineering & Science Research Institute, Bldg. 130, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, Korea
3
Center for Advanced Power & Environmental Technology (APET), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: G. J. M. (Gerard) Smit
Received: 24 November 2015 / Revised: 30 December 2015 / Accepted: 11 January 2016 / Published: 15 January 2016
(This article belongs to the Special Issue Decentralized Management of Energy Streams in Smart Grids)
View Full-Text   |   Download PDF [2445 KB, uploaded 15 January 2016]   |  

Abstract

Active Network Management (ANM) enables a microgrid to optimally dispatch the active/reactive power of its Renewable Distributed Generation (RDG) and Battery Energy Storage System (BESS) units in real time. Thus, a microgrid with high penetration of RDGs can handle their uncertainties and variabilities to achieve the stable operation using ANM. However, the actual power flow in the line connecting the main grid and microgrid may deviate significantly from the day-ahead bids if the bids are determined without consideration of the real-time adjustment through ANM, which will lead to a substantial imbalance cost. Therefore, this study proposes a formulation for obtaining an optimal bidding which reflects the change of power flow in the connecting line by real-time adjustment using ANM. The proposed formulation maximizes the expected profit of the microgrid considering various network and physical constraints. The effectiveness of the proposed bidding strategy is verified through the simulations with a 33-bus test microgrid. The simulation results show that the proposed bidding strategy improves the expected operating profit by reducing the imbalance cost to a greater degree compared to the basic bidding strategy without consideration of ANM. View Full-Text
Keywords: active network management; market participation of microgrid; microgrid operation; renewable microgrid active network management; market participation of microgrid; microgrid operation; renewable microgrid
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Kim, S.W.; Kim, J.; Jin, Y.G.; Yoon, Y.T. Optimal Bidding Strategy for Renewable Microgrid with Active Network Management. Energies 2016, 9, 48.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top