Decomposing Loosely Coupled Mixed-Integer Programs for Optimal Microgrid Design
Decomposing Loosely Coupled Mixed-Integer Programs for Optimal Microgrid Design
复制标题
分解松耦合混合整数程序以实现最佳微电网设计
DOI:
10.1287/ijoc.2020.0955
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
A. Newman
中科院分区:
文献类型:
--
作者:
Alexander J. Zolan;Michael S. Scioletti;D. Morton;A. Newman
Microgrids are frequently employed in remote regions, in part because access to a larger electric grid is impossible, difficult, or compromises reliability and independence. Although small microgrids often employ spot generation, in which a diesel generator is attached directly to a load, microgrids that combine these individual loads and augment generators with photovoltaic cells and batteries as a distributed energy system are emerging as a safer, less costly alternative. We present a model that seeks the minimum-cost microgrid design and ideal dispatched power to support a small remote site for one year with hourly fidelity under a detailed battery model; this mixed-integer nonlinear program (MINLP) is intractable with commercial solvers but loosely coupled with respect to time. A mixed-integer linear program (MIP) approximates the model, and a partitioning scheme linearizes the bilinear terms. We introduce a novel policy for loosely coupled MIPs in which the system reverts to equivalent conditions at regular time intervals; this separates the problem into subproblems that we solve in parallel. We obtain solutions within 5% of optimality in at most six minutes across 14 MIP instances from the literature and solutions within 5% of optimality to the MINLP instances within 20 minutes.