Review of optimization methods for energy hub planning, operation, trading, and control

T Ding, W Jia, M Shahidehpour, O Han… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The increasing concerns with adverse environmental issues have led to the proliferation of
renewable energy resources (RESs), which have been expanded more recently to multi …

Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective

H Qiu, W Gu, P Liu, Q Sun, Z Wu, X Lu - Energy, 2022 - Elsevier
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …

Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage

G Pan, W Gu, Y Lu, H Qiu, S Lu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
For the future development of an integrated energy system (IES) with ultra-high penetration
of renewable energy, a planning model for an electricity-hydrogen integrated energy system …

Distribution network-constrained optimization of peer-to-peer transactive energy trading among multi-microgrids

M Yan, M Shahidehpour, A Paaso… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This article proposes a two-level network-constrained peer-to-peer (P2P) transactive energy
for multi-microgrids (MGs), which guarantees the distribution power network security and …

Blockchain for transacting energy and carbon allowance in networked microgrids

M Yan, M Shahidehpour… - … on Smart Grid, 2021 - ieeexplore.ieee.org
This paper proposes a blockchain application for transacting energy and carbon allowance
in networked microgrids (MGs). MGs submit trading energy and carbon allowance data to …

Robust scheduling of hydrogen based smart micro energy hub with integrated demand response

A Mansour-Saatloo, M Agabalaye-Rahvar… - Journal of Cleaner …, 2020 - Elsevier
Nowadays, to address the different demands of consumers, ie, electricity, heat and gas, the
concept of energy hub (EH) is emerged. Integrating multiple energy sources under the …

Data-driven risk-adjusted robust energy management for microgrids integrating demand response aggregator and renewable energies

ZP Yuan, P Li, ZL Li, J **a - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
Microgrids, integrating user-side demand response and zero marginal cost renewable
energies, are potential components for future smart grids to reduce carbon emissions and …

Impact of high renewable penetration on the power system operation mode: A data-driven approach

Q Hou, E Du, N Zhang, C Kang - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
The high penetration of renewable energy will substantially change the power system
operation. Traditionally, the annual operation of a power system can be represented by …

Coordinated regional-district operation of integrated energy systems for resilience enhancement in natural disasters

M Yan, Y He, M Shahidehpour, X Ai… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes a coordinated regional-district operation of integrated energy system
(IES) for enhancing resilience in extreme conditions. A bi-directional flow model is …

A novel model-free deep reinforcement learning framework for energy management of a PV integrated energy hub

A Dolatabadi, H Abdeltawab… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper utilizes a fully model-free and data-driven deep reinforcement learning (DRL)
framework to develop an intelligent controller that can exploit information to optimally …