Demand response comprehensive incentive mechanism-based multi-time scale optimization scheduling for park integrated energy system

L Wang, J Lin, H Dong, Y Wang, M Zeng - Energy, 2023 - Elsevier
With the increasing uncertainty of energy supply side output, fully encouraging users to
participate in demand response through different types of demand response incentive …

Multi-objective distributionally robust optimization for hydrogen-involved total renewable energy CCHP planning under source-load uncertainties

Y Wang, M Song, M Jia, B Li, H Fei, Y Zhang, X Wang - Applied Energy, 2023 - Elsevier
Hydrogen is one type of clean renewable energy. By introducing hydrogen production,
storage and conversion devices into the combined cooling, heating and power (CCHP) …

Techno-economic analysis of combined cooling, heating, and power (CCHP) system integrated with multiple renewable energy sources and energy storage units

E Assareh, A Dejdar, A Ershadi, M Jafarian… - Energy and …, 2023 - Elsevier
This study presents the optimal design of a multi-source renewable energy combined
cooling, heating, and power (M− RCCHP) system integrated with energy storage units for an …

A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties

Y Dong, H Zhang, P Ma, C Wang, X Zhou - Energy, 2023 - Elsevier
The presence of multiple uncertainties in demand response and renewable energy
generation significantly impeded the planning of integrated energy systems (IES). To …

A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games

F Han, J Zeng, J Lin, Y Zhao, C Gao - Applied Energy, 2023 - Elsevier
The interconnection of multiple regional integrated energy systems (RIES) can effectively
enhance the low-carbon and flexible operation capabilities of RIES, but the uncertainty and …

Optimal performance of hybrid energy system in the presence of electrical and heat storage systems under uncertainties using stochastic p-robust optimization …

D Yu, J Wu, W Wang, B Gu - Sustainable Cities and Society, 2022 - Elsevier
A hybrid energy system (HES) is a recommended solution to simultaneously electricity and
heat loads supply with minimum power purchasing from the external grid. Due to the …

Two-layer multiple scenario optimization framework for integrated energy system based on optimal energy contribution ratio strategy

J Liu, Y Li, Y Ma, R Qin, X Meng, J Wu - Energy, 2023 - Elsevier
Rational design and advanced energy management considering multiple uncertainties are
imperative for the superior integrated energy system (IES). This work proposed a novel two …

[HTML][HTML] Smart optimization in battery energy storage systems: An overview

H Song, C Liu, AM Amani, M Gu, M Jalili… - Energy and AI, 2024 - Elsevier
The increasing drive towards eco-friendly environment motivates the generation of energy
from renewable energy sources (RESs). The rising share of RESs in power generation …

Coordinated energy management for integrated energy system incorporating multiple flexibility measures of supply and demand sides: A deep reinforcement learning …

J Liu, Y Li, Y Ma, R Qin, X Meng, J Wu - Energy Conversion and …, 2023 - Elsevier
With the development of energy Internet and intelligent buildings, the interactions of supply
and demand sides of integrated energy system (IES) offer an attractive route for flexible …

TimeGAN based distributionally robust optimization for biomass-photovoltaic-hydrogen scheduling under source-load-market uncertainties

Y Wang, M Song, M Jia, L Shi, B Li - Energy, 2023 - Elsevier
Abstract The Biomass-Photovoltaic-Hydrogen Integrated Energy System (BPH-IES) is
receiving increasing attentions due to the utilization of hydrogen storage for renewables …