Abstract This article presents a general modelling framework dedicated to the short-term planning of energy systems, which supports the fast prototyping of optimization models. Due to the need for its applicability to practical problem instances, the methodology is based on a generic Mixed Integer Linear Programming (MILP) formulation. In addition, a specific graphical formalism called Extended Resource Task Network (ERTN) is proposed for the configuration step, which enables the modelling of any type of system and the automatic instantiation of the optimization models. The value of implementing such a tool is demonstrated through the modelling, operational planning and performance evaluation of a Combined Heat and Power (CHP) plant that participates in the French Day-ahead electricity market. Indeed, while real-time control of utility plants plays an important role in ensuring the balance between production and needs, forecasting and planning these production systems is becoming increasingly necessary to make them more energy and economically efficient. The case study shows, on the one hand the potentialities of the modelling approach through the ability to achieve rapid development and implementation of complex systems, and on the other hand significant opportunities to improve the site’s economic profitability as well as its environmental impact.

中文翻译：

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能源系统规划建模框架：应用于参与电力市场的热电联产电厂

摘要 本文提出了一个专门用于能源系统短期规划的通用建模框架，该框架支持优化模型的快速原型设计。由于需要适用于实际问题实例，该方法基于通用混合整数线性规划 (MILP) 公式。此外，为配置步骤提出了一种称为扩展资源任务网络 (ERTN) 的特定图形形式，它可以对任何类型的系统进行建模并自动实例化优化模型。通过参与法国日前电力市场的热电联产 (CHP) 工厂的建模、运营规划和绩效评估，证明了实施此类工具的价值。确实，虽然公用设施的实时控制在确保生产和需求之间的平衡方面发挥着重要作用，但预测和规划这些生产系统正变得越来越必要，以提高它们的能源效率和经济效率。案例研究一方面显示了建模方法通过实现复杂系统的快速开发和实施的能力的潜力，另一方面显示了提高站点经济盈利能力及其环境影响的重要机会。