The combined production of different energy vectors with Multi Energy Systems is a very attractive opportunity to increase the generation efficiency, compensate the oscillations of renewable sources, and improve the flexibility in power generation. Optimizing their operation is a complex task, since the problem can easily reach high dimensions, representing a challenge for commercial solvers. The inclusion in the optimization of a thermal network whose simulation is based on temperatures and flowrates allows to significantly improve the applicability of the obtained results. In addition, the effect of the operating temperatures on the performances of thermal components should be included as well. With these purposes, the present study proposes a strategy for the operation optimization of a MES and its internal thermal network. The model relies on a decomposition approach, where the original problem is divided in two subproblems. In the first one, the MES operating costs are minimized without considering the effects of the thermal network, while in the second one, the thermal network operation is optimized in order to find the operating conditions that are more favourable to the ones found for the MES. These subproblems are iteratively solved until the process converges to a stable solution. Some efforts are taken to keep the mathematical formulation as simple as possible (the MES is a Mixed Integer Linear Programming, while the heating network is a Quadratically Constrained Programming). The developed model allows to find near-optimal solutions which satisfy the numerous physical and technical constraints addressed. The results provide an optimized schedule for the thermal storage in terms of mass flowrates and temperature. One of the strengths of the model is the relatively low computational time required to reach the convergence and, despite not being the global optimum, the high quality of the solution obtained.

不同能源载体与多能源系统的联合生产是一个非常有吸引力的机会，可以提高发电效率，补偿可再生能源的振荡，并提高发电的灵活性。优化它们的操作是一项复杂的任务，因为问题很容易达到高维度，这对商业求解器来说是一个挑战。将其模拟基于温度和流量的热网络包含在优化中，可以显着提高所获得结果的适用性。此外，还应包括工作温度对热元件性能的影响。出于这些目的，本研究提出了一种 MES 及其内部热网络的运行优化策略。该模型依赖于分解方法，其中原始问题分为两个子问题。第一个是在不考虑热网络影响的情况下最小化 MES 运行成本，而第二个是优化热网络运行以找到对 MES 更有利的运行条件. 迭代地解决这些子问题，直到过程收敛到稳定的解决方案。已采取一些措施使数学公式尽可能简单（MES 是混合整数线性规划，而供热网络是二次约束规划）。开发的模型允许找到满足所解决的众多物理和技术限制的近乎最优的解决方案。结果在质量流量和温度方面提供了热存储的优化计划。该模型的优势之一是达到收敛所需的计算时间相对较短，尽管不是全局最优解，但所获得的解的质量很高。