This paper presents the problem model of multicarrier energy system management. The proposed problem includes three types of energy that is as electrical, natural and heating. Electrical and gas energies are as hub input, and hub output is as electrical and heating. The electricity energy provides using (1) renewable energy sources (RESs), electrical energy storage system, combined heat and power (CHP) system that are managed by hub operator and are not to play at market and (2) electricity market with PoolCo and bilateral contracts models. Therefore, the proposed problem is as optimization problem that its objective function is minimizing energy cost of hub. The constraints are electrical, natural and district heating networks power flow, RES, storage system, CHP and market constraints, and limitation of all networks indexes. This problem is modeled as mixed integer nonlinear programming. But, this paper uses the equivalent mixed integer linear programming model for accessing to optimal solution with low calculation time and error. Finally, this problem applied to standard test network with GAMS software, and thus, the capability of proposed problem investigates.

中文翻译：

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作为混合整数线性规划的多载波能量系统管理

本文提出了多载波能源系统管理的问题模型。所提出的问题包括三种类型的能量，即电能、自然能和热能。电能和气体能量作为轮毂输入，轮毂输出作为电能和加热。电力能源提供使用 (1) 可再生能源 (RES)、电能存储系统、热电联产 (CHP) 系统，这些系统由枢纽运营商管理且不参与市场交易，以及 (2) 与 PoolCo 和双边合同模型。因此，所提出的问题是优化问题，其目标函数是最小化枢纽的能源成本。约束是电力、自然和区域供热网络潮流、可再生能源、存储系统、热电联产和市场约束，以及所有网络指标的限制。这个问题被建模为混合整数非线性规划。但是，本文使用等效混合整数线性规划模型来获得计算时间和误差小的最优解。最后，将此问题应用于具有 GAMS 软件的标准测试网络，从而研究了所提出问题的能力。