Multi-participant operation optimization for charging systems with orderly charging and cooperative game strategies considering carbon capture and uncertainties

Article Thermodynamics

A medium-term hybrid IGDT-Robust optimization model for optimal self scheduling of multi-carrier energy systems

Arsalan Najafi et al.

Summary: This paper introduces a novel optimization framework for the optimal self-scheduling of Energy Hubs (EH) within a medium-term horizon, based on hybrid Information Gap Decision Theory (IGDT) and Robust Optimization (RO). The framework aims to handle uncertainties related to wind turbine generation and day-ahead (DA) electricity market while validating the model's capability in facing uncertainties. The results show an increase of 8.6% in the total operation cost of EH under worst-case uncertainties using the proposed hybrid IGDT-RO model compared to perfect information consideration, indicating that optimal decisions can be made by operators.

ENERGY (2022)

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Article Thermodynamics

Game theory-based multi-agent capacity optimization for integrated energy systems with compressed air energy storage

Haiyang Wang et al.

Summary: This study proposes a game theory-based multi-agent capacity optimization method for an IES, analyzing the benefit interactions among independent operators in decision-making processes. Results show that the access of CAES could improve the environmental and economic performance of the IES. The completely cooperative game model yields better economic performance for the whole and for individuals.

ENERGY (2021)

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Article Engineering, Chemical

A novel Markov chain method for predicting granular mixing process in rotary drums under different rotation speeds

Zhou Hu et al.

Summary: The study proposes a new method, HI-MCM, to replace DEM simulation for predicting granular mixing process under new drum speeds in rotary drums. HI-MCM demonstrates good agreement with DEM simulation results in predicting particle spatial distribution and mixing degree, while significantly reducing computing time to less than 1% of DEM and current methods. Additionally, HI-MCM shows robustness to changes in Markov chain parameter, indicating potential for online prediction of granular mixing in rotary drums.

POWDER TECHNOLOGY (2021)

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Article Computer Science, Information Systems

Decarbonization Scheduling Strategy Optimization for Electricity-Gas System Considering Electric Vehicles and Refined Operation Model of Power-to-Gas

Zhiao Cao et al.

Summary: This article introduces a novel IEGS architecture with collaborative operation of P2G, CCS, and EVs to reduce CO2 emissions and improve wind power utilization efficiency. A multi-step optimization framework is proposed to handle wind power uncertainties, resulting in higher economic benefits and environmental friendliness.

IEEE ACCESS (2021)

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Article Green & Sustainable Science & Technology