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Multicarrier Energy System Management as Mixed Integer Linear Programming

机译:多载机能量系统管理作为混合整数线性规划

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摘要

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.
机译:本文介绍了多载波能源系统管理的问题模型。提出的问题包括三种类型的能量,作为电气,自然和加热。电气和气体能量作为集线器输入,轮毂输出作为电气和加热。电力能量提供​​(1)由集线器运营商管理的(1)可再生能源(RESS),电能存储系统,组合热量和功率(CHP)系统,并不在市场上发挥(2)电力市场和博彩双边合同模型。因此,所提出的问题是其目标函数最小化集线器的能量成本的优化问题。约束是电气,自然和区加热网络电流,RES,存储系统,CHP和市场限制,以及所有网络索引的限制。此问题被建模为混合整数非线性编程。但是,本文采用了等效的混合整数线性编程模型来访问了低计算时间和错误的最佳解决方案。最后,这个问题适用于带Gams软件的标准测试网络,因此,提出的问题的能力调查。

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