Dual-Objectives Energy and Load Management for an Energy Hub by Considering Diverse Plannings and in the Presence of CCUS Technology and the TOU Program

Subject Areas : Renewable energy

Fardin Niazvand ¹ ( Department of Electrical Engineering- Kermanshah Branch, Islamic Azad University, Kermanshah, Iran )
Saeed Kharrati ² ( Department of Electrical Engineering- Kermanshah Branch, Islamic Azad University, Kermanshah, Iran )
Farshad Khosravi ³ ( Department of Electrical Engineering- Kermanshah Branch, Islamic Azad University, Kermanshah, Iran )
Abdollah Rastgou ⁴ ( Department of Electrical Engineering- Kermanshah Branch, Islamic Azad University, Kermanshah, Iran )

Received: 2021-11-02 Accepted : 2022-02-20 Published : 2023-08-23

Keywords: Demand Response Programs, Distributed Energy Resources, Multi-objective planning, Carbon capture storage systems, Hub energy management, Load control, Deterministic-robust planning,

Abstract :

This paper presents energy and load management by using a scenario-based assessment strategy for the optimal scheduling of a proposed hub by considering uncertain parameters (electricity price and wind turbine output power). Carbon capture utilization and storage (CCUS) technology and demand response programs (DRP), especially the time of use (TOU) program are investigated. Carbon technology helps to overcome pollution issues, on the one hand, and earn revenue for the power system, on the other hand. Also, the demand response programs help to reduce costs and pollution, make the load curve flatter, increase the reliability and power quality of the network. The proposed energy hub consists of various renewable and non-renewable distributed energy resources, as well different planning horizons, include deterministic and robust ones. The presented hub consists of diverse energy sectors like electricity, heat, cooling, gas, and water at the input and output sections. The problem is then modeled as a MILP and solved using the CPLEX solver in GAMS software. Epsilon constraint method with the fuzzy satisfying approach is used to obtain and select the best solution. The final results show that the cost and the pollution in the robust planning experience the increment by about 12.3% and 1.9% respectively in comparison to deterministic, as well, demand response programs and CCUS technology are had a significant impact on the objective functions. In addition, the load curve has become flatter and the reward by using a carbon system is obtained for the hub.

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