A time-indexed integer programing approach is developed to optimize the manufacturing schedule of a factory for minimal energy cost under real-time pricing (RTP) of electricity. The approach is demonstrated using a flow shop operating during different time periods (i.e., day shift, swing shift, and night shift) in a microgrid, which also serves residential and commercial users. Results show that electricity cost can be reduced by 6.2%, 12.3%, and 21.5% for the three time periods considered, respectively. Additionally, a 6.3% cost reduction can be achieved by the residential and commercial buildings through adopting energy-conscious control strategies in this specific case study example.
Issue Section:
Technical Brief
References
References
1.
U.S. Energy Information Administration
, 2013
, “International Energy Outlook 2013 With Projections to 2040
,” Government Printing Office
, Washington, DC.2.
Abdelaziz
, E.
Saidur
, R.
Mekhilef
, S.
2011
, “A Review on Energy Saving Strategies in Industrial Sector
,” Renewable Sustainable Energy Rev.
, 15
(1
), pp. 150
–168
.3.
Nilsson
, K.
Söderström
, M.
1993
, “Industrial Applications of Production Planning With Optimal Electricity Demand
,” Appl. Energy
, 46
(2
), pp. 181
–192
.4.
Chen
, S.
Tsui
, K.
Wu
, H.
Hou
, Y.
Wu
, Y.
Wu
, F.
2012
, “Load/Price Forecasting and Managing Demand Response for Smart Grids
,” IEEE Signal Process. Mag.
, 29
(5
), pp. 68
–84
.5.
Luo
, H.
Du
, B.
Huang
, G. Q.
Chen
, H.
Li
, X.
2013
, “Hybrid Flow Shop Scheduling Considering Machine Electricity Consumption Cost
,” Int. J. Prod. Econ.
, 146
(2
), pp. 423
–439
.6.
Fang
, K.
Uhan
, N. A.
Zhao
, F.
Sutherland
, J. W.
2013
, “Flow Shop Scheduling With Peak Power Consumption Constraints
,” Ann. Oper. Res.
, 206
(1
), pp. 115
–145
.7.
Wang
, Y.
Li
, L.
2013
, “Time-of-Use Based Electricity Demand Response for Sustainable Manufacturing Systems
,” Energy
, 63
, pp. 233
–244
.8.
Sun
, Z.
Li
, L.
2014
, “Potential Capability Estimation for Real Time Electricity Demand Response of Sustainable Manufacturing Systems Using Markov Decision Process
,” J. Cleaner Prod.
, 65
, pp. 184
–193
.9.
Ip
, W.
Ho
, G.
Chung
, N.
2010
, “Using Integer Programming for Airport Service Planning in Staff Scheduling
,” Int. J. Eng. Bus. Manage.
, 2
(2
), pp. 85
–92
.10.
Allcott
, H.
2011
, “Rethinking Real-Time Electricity Pricing
,” Resour. Energy Econ.
, 33
(4
), pp. 820
–842
.11.
Skantze
, P.
Gubina
, A.
Ilic
, M.
2000
, “Bid-Based Stochastic Model for Electricity Prices: The Impact of Fundamental Drivers on Market Dynamics
,” Energy Laboratory Publications, Massachusetts Institute of Technology, Report No. MIT EL 00-004.12.
Vytelingum
, P.
Voice
, T. D.
Ramchurn
, S. D.
Rogers
, A.
Jennings
, N. R.
2010
, “Agent-Based Micro-Storage Management for the Smart Grid
,” 9th International Conference on Autonomous Agents and Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems
, pp. 39
–46
.13.
Chassin
, D. P.
Schneider
, K.
Gerkensmeyer
, C.
2008
, “GridLAB-D: An Open-Source Power Systems Modeling and Simulation Environment
,” IEEE/PES
Transmission and Distribution Conference and Exposition.14.
Hammerstrom
, D.
Ambrosio
, R.
Brous
, J.
Carlon
, T.
Chassin
, D.
DeSteese
, J.
Guttromson
, R.
Horst
, G.
Järvegren
, O.
Kajfasz
, R.
2007
, “Pacific Northwest Gridwise Testbed Demonstration Projects—Part I: Olympic Peninsula Project
,” Pacific Northwest National Laboratory, Richland, WA. Report No. PNLL-17167
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