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IGDT-Based Robust Optimization for Multicarrier Energy System Management
Iranian Journal of Science and Technology, Transactions of Electrical Engineering ( IF 1.5 ) Pub Date : 2020-07-08 , DOI: 10.1007/s40998-020-00356-y
K. Afrashi , B. Bahmani-Firouzi , M. Nafar

In this paper, the information-gap decision theory (IGDT)-based robust problem model for multicarrier energy system (MES) management is presented. It is noted that in the proposed problem, electrical and gas energies are inputs of MES or energy hub, and electrical and heating energies are outputs of MES. The output electrical energy of hub provided by renewable energy sources (RESs), storage system, combined heat and power (CHP) system is managed by hub manager, and they do not participate in the market and input electrical energy. Also, it is considered that input electrical energy is bought from the PoolCo and bilateral contract markets. Moreover, the CHP is only connecting element for different energies. Therefore, the deterministic problem model expresses in the first step, where its objective function is minimized of hubs energy cost. Also, the constraints of problem are power flow equations and indexes limit in electrical, natural gas and district heating networks, PoolCo and bilateral contract market models, RES, storage system and CHP equations. This problem is as mixed integer nonlinear programming, where in the next step, the equivalent mixed integer linear programming model is presented because this new model can obtain the global optimal solution with low calculation error and time. In addition, the different loads, energy price in PoolCo market and RESs output power are uncertain parameters. Hence, this paper for considering uncertainty parameters presents the IGDT-based robust optimization for proposed problem. Finally, this problem is applied to standard test network with GAMS software, and thus the capability of the proposed problem investigates.

中文翻译:

基于 IGDT 的多载波能源系统管理鲁棒优化

在本文中,提出了基于信息间隙决策理论(IGDT)的多载波能量系统(MES)管理鲁棒问题模型。需要注意的是,在所提出的问题中,电能和燃气能源是 MES 或能源枢纽的输入,电能和热能是 MES 的输出。由可再生能源(RES)、存储系统、热电联产(CHP)系统提供的枢纽输出电能由枢纽管理者管理,不参与市场和输入电能。此外,输入电能被认为是从 PoolCo 和双边合同市场购买的。此外,热电联产只是不同能量的连接元件。因此,确定性问题模型在第一步表示,其目标函数是集线器能源成本的最小化。还,问题的约束是电力、天然气和区域供热网络中的潮流方程和指标限制、PoolCo 和双边合同市场模型、RES、存储系统和 CHP 方程。该问题为混合整数非线性规划问题,下一步提出等效混合整数线性规划模型,因为该新模型能够以较低的计算误差和时间获得全局最优解。此外,不同负载、PoolCo 市场的能源价格和 RES 输出功率是不确定的参数。因此,本文考虑不确定性参数提出了基于 IGDT 的鲁棒优化问题。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。
更新日期:2020-07-08
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