Optimal design and dispatch of a system of diesel generators, photovoltaics and batteries for remote locations
- Colorado School of Mines, Golden, CO (United States). Dept. of Mechanical Engineering
- Georgia Inst. of Technology, Atlanta, GA (United States). School of Chemical and Biomolecular Engineering
- Univ. of Texas, Austin, TX (United States). Dept. of Mechanical Engineering
- Argonne National Lab. (ANL), Argonne, IL (United States). Mathematics and Computer Science Division
Renewable energy technologies, specifically, solar photovoltaic cells, combined with battery storage and diesel generators, form a hybrid system capable of independently powering remote locations, i.e., those isolated from larger grids. If sized correctly, hybrid systems reduce fuel consumption compared to diesel generator-only alternatives. We present an optimization model for establishing a hybrid power design and dispatch strategy for remote locations, such as a military forward operating base, that models the acquisition of different power technologies as integer variables and their operation using nonlinear expressions. Our cost-minimizing, nonconvex, mixed-integer, nonlinear program contains a detailed battery model. Due to its complexities, we present linearizations, which include exact and convex under-estimation techniques, and a heuristic, which determines an initial feasible solution to serve as a “warm start” for the solver. We determine, in a few hours at most, solutions within 5% of optimality for a candidate set of technologies; these solutions closely resemble those from the nonlinear model. Lastly, our instances contain real data spanning a yearly horizon at hour fidelity and demonstrate that a hybrid system could reduce fuel consumption by as much as 50% compared to a generator-only solution.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- Grant/Contract Number:
- AC02-06CH11357
- OSTI ID:
- 1393847
- Journal Information:
- Optimization and Engineering, Vol. 18, Issue 3; ISSN 1389-4420
- Publisher:
- SpringerCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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