This paper is the first to introduce the concept of Smart Energy-Efficient Production-Planning (SEEPP) for a general Job-Shop manufacturing system in the presence of Grid-connected Microgrid with wind power generation. To cope with the unpredictability of wind speed and the uncertainties of demands, a novel risk-based Robust Mixed Integer Linear Programming (RMILP) model is mathematically formulated. The last aim of the model is to minimize the total day-ahead cost of the system considering peak demand charge. The results show the capability of the proposed integrated framework to obtain a constructive trade-off between scenario-based cost deviations, and heat and power imbalances considering the attitude of Decision Makers (DMs) toward risk. The results further indicate that the proposed SEEPP concept is able to produce products with at least 1.95% less cost than conventional manufacturing systems, although it supports a much wider range of demands for products. The performance of the model is analyzed and evaluated in terms of accuracy, robustness, and computational efficiency.

本文是第一个介绍在具有风力发电并网的微电网的情况下，用于一般Job-Shop制造系统的智能节能生产计划（SEEPP）概念的方法。为了应对风速的不可预测性和需求的不确定性，数学上建立了一种基于风险的新型鲁棒混合整数线性规划（RMILP）模型。该模型的最后一个目的是在考虑高峰需求费用的情况下最大程度地减少系统的日前总费用。结果表明，考虑到决策者（DM）对风险的态度，所提出的集成框架能够在基于情景的成本偏差与热力和功率不平衡之间获得建设性的权衡。结果进一步表明，提出的SEEPP概念能够生产至少具有1的产品。尽管它支持更广泛的产品需求，但与传统制造系统相比，其成本降​​低了95％。根据准确性，鲁棒性和计算效率来分析和评估模型的性能。