Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88682
Title: Optimal scheduling of a microgrid including pump scheduling and network constraints
Authors: Krishnan, Ashok
Sampath, Lahanda Purage Mohasha Isuru
Foo, Eddy Yi Shyh
Gooi, Hoay Beng
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Network Constraints
Scheduling
Issue Date: 2018
Source: Krishnan, A., Sampath, L. P. M. I., Foo, E. Y. S., & Gooi, H. B. (2018). Optimal Scheduling of a Microgrid Including Pump Scheduling and Network Constraints. Complexity, 2018, 9842025-. doi:10.1155/2018/9842025
Series/Report no.: Complexity
Abstract: This paper proposes an efficient energy management system (EMS) for industrial microgrids (MGs). Many industries deploy large pumps for their processes. Oftentimes, such pumps are operated during hours of peak electricity prices. A lot of industries use a mix of captive generation and imported utility electricity to meet their energy requirements. The MG considered in this paper includes diesel generators, battery energy storage systems, renewable energy sources, flexible loads, and interruptible loads. Pump loads found in shipyard dry docks are modelled as exemplar flexible industrial loads. The proposed EMS has a two-stage architecture. An optimal MG scheduling problem including pump scheduling and curtailment of interruptible loads (ILs) is formulated and solved in the first stage. An optimal power flow problem is solved in the second stage to verify the feasibility of the MG schedule with the network constraints. An iterative procedure is used to coordinate the two EMS stages. Multiple case studies are used to demonstrate the utility of the proposed EMS. The case studies highlight the efficacy of load management strategies such as pump scheduling and curtailment of ILs in reducing the total electricity cost of the MG.
URI: https://hdl.handle.net/10356/88682
http://hdl.handle.net/10220/45856
ISSN: 1076-2787
DOI: http://dx.doi.org/10.1155/2018/9842025
Rights: © 2018 Ashok Krishnan et al. 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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