Optimal design and dispatch of a system of diesel generators, photovoltaics and batteries for remote locations
| Autor: | Sven Leyffer, Michael Scioletti, Johanna K. Goodman, Alex Zolan, Alexandra M. Newman |
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| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
021103 operations research Control and Optimization business.industry Heuristic (computer science) Computer science 020209 energy Mechanical Engineering Photovoltaic system 0211 other engineering and technologies Aerospace Engineering 02 engineering and technology Solver Renewable energy Hybrid system 0202 electrical engineering electronic engineering information engineering Fuel efficiency Electrical and Electronic Engineering Hybrid power business Integer programming Software Civil and Structural Engineering |
| Zdroj: | Optimization and Engineering. 18:755-792 |
| ISSN: | 1573-2924 1389-4420 |
| Popis: | 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. 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. |
| Databáze: | OpenAIRE |
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