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Open AccessArticle

Optimal Bidding Strategy for Renewable Microgrid with Active Network Management

Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, Korea
Power System Research Division, Korea Electrical Engineering & Science Research Institute, Bldg. 130, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, Korea
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
Energies 2016, 9(1), 48;
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)
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
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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.

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