A design and dispatch optimization algorithm based on mixed integer linear programming for rural electrification
A design and dispatch optimization algorithm based on mixed integer linear programming for rural electrification
复制标题
基于混合整数线性规划的农村电气化设计与调度优化算法
DOI：
10.1016/j.apenergy.2018.09.194
复制
发表时间：
2019
期刊：
影响因子：
11.2
通讯作者：
G. Manzolini
中科院分区：
文献类型：
--
作者：
L. Moretti;M. Astolfi;Claudio R. Vergara;E. Macchi;J. Pérez;G. Manzolini
离网微电网是农村电气化日益可行的电网扩展替代方案。由于硬件成本的显著降低，一旦考虑到基础设施成本，在国家电网覆盖范围较广的地区，离网用户的能源成本已经与并网具有竞争力。从环境和社会的角度来看，微电网也具有优势，其特点是发电系统具有高可再生能源渗透率，并促进当地社区参与发展项目。为了进一步提高微电网的经济竞争力，有必要设计创新的控制策略和设计算法，以确保以最低的总成本获得最佳的运行性能。本文提出了一种新的基于混合整数线性规划（MILP）的预测设计和调度优化算法。新方法与先前开发的启发式方法进行了比较，该方法适用于基于撒哈拉以南非洲地区实际数据的当地微电网的设计和年度性能评估。并通过实例说明了将微电网设计方法纳入区域电气化规划模型的潜在优势。
Off-grid microgrids constitute an increasingly viable alternative to grid extension for rural electrification. Thanks to significant reductions in hardware cost, energy cost for off-grid users in areas sparsely covered by the national grid has become competitive with grid-connection once infrastructural costs are accounted for. Microgrids offer advantages also from an environmental and social point of view, featuring generation systems with high renewable penetration and facilitating the involvement of local communities in development projects. To further enhance microgrids economic competitiveness, it is necessary to devise innovative control strategies and design algorithms, that can ensure an optimal operating performance at the lowest overall cost. In this paper we present a new predictive design and dispatch optimization algorithm based on Mixed Integer Linear Programming (MILP). The new method is compared to a previously developed heuristic methodology, applying both to the design and yearly performance estimation of local microgrids, characterized on the basis of real data relative to a sub-Saharan African region. The potential advantages of including the proposed microgrid design method in a regional electrification planning model are illustrated in a realistic case example.