A Multiobjective Approach to Multimicrogrid System Design

Chiu, Wei-Yu; Sun, Hongjian; Poor, H. Vincent

Abstract

The main goal of this paper is to design a market operator (MO) and a distribution network operator (DNO) for a network of microgrids in consideration of multiple objectives. This is a high-level design and only those microgrids with nondispatchable renewable energy sources are considered. For a power grid in the network, the net value derived from providing power to the network must be maximized. For a microgrid, it is desirable to maximize the net gain derived from consuming the received power. Finally, for an independent system operator, stored energy levels at microgrids must be maintained as close as possible to storage capacity to secure network emergency operation. To achieve these objectives, a multiobjective approach is proposed. The price signal generated by the MO and power distributed by the DNO are assigned based on a Pareto optimal solution of a multiobjective optimization problem. By using the proposed approach, a fair scheme that does not advantage one particular objective can be attained. Simulations are provided to validate the proposed methodology.

Citation

Chiu, W., Sun, H., & Poor, H. V. (2015). A Multiobjective Approach to Multimicrogrid System Design. IEEE Transactions on Smart Grid, 6(5), 2263-2272. https://doi.org/10.1109/tsg.2015.2399497

• Journal Article Type: Article
• Acceptance Date: Jan 25, 2015
• Online Publication Date: Feb 26, 2015
• Publication Date: Sep 1, 2015
• Deposit Date: Feb 20, 2015
• Publicly Available Date: Mar 16, 2015
• Journal: IEEE Transactions on Smart Grid
• Print ISSN: 1949-3053
• Electronic ISSN: 1949-3061
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 6
• Issue: 5
• Pages: 2263-2272
• DOI: https://doi.org/10.1109/tsg.2015.2399497
• Keywords: Distribution network operator (DNO), Pareto optimality, Market operator (MO), Microgrids, Multimicrogrid design, Multiobjective approach, Smart grid, Utility maximization.