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Review of optimization methods for energy hub planning, operation, trading, and control
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 …
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
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
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
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 …
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
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 …
for multi-microgrids (MGs), which guarantees the distribution power network security and …
Blockchain for transacting energy and carbon allowance in networked microgrids
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 …
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
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 …
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
Microgrids, integrating user-side demand response and zero marginal cost renewable
energies, are potential components for future smart grids to reduce carbon emissions and …
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
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 …
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
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 …
(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
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 …
framework to develop an intelligent controller that can exploit information to optimally …