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Found 14 papers, 0 papers with code
Co-Scheduling of Energy and Production in Discrete Manufacturing Considering Decision-Dependent Uncertainties
However, existing research does not account for decision-dependent uncertainties (DDUs) present in discrete manufacturing; moreover, current algorithms for solving models with DDUs suffer from high computational complexity, making them unsuitable for the real-time control requirements of modern industry.
Optimal Hardening Strategy for Electricity-Hydrogen Networks with Hydrogen Leakage Risk Control against Extreme Weather
However, for electricity-hydrogen distribution networks (EHDNs), the leakage risk of hydrogen should be controlled to avoid severe incidents such as explosions.
Flexible Operation of Electricity-HCNG Networks with Variable Hydrogen Fraction: A Distributionally Robust Joint Chance-Constrained Approach
Hydrogen-enriched compressed natural gas (HCNG) is a promising way to utilize surplus renewable energy through hydrogen electrolysis and blending it into natural gas.
Optimal Control in Both Steady State and Transient Process with Unknown Disturbances
The scheme of online optimization as a feedback controller is widely used to steer the states of a physical system to the optimal solution of a predefined optimization problem.
Data-driven Power Flow Linearization: Simulation
Subsequently, this paper evaluates a total of 44 methods, containing over 30 existing DPFL approaches, some innovative DPFL techniques, and several classic physics-driven power flow linearization methods for benchmarking.
Data-driven Power Flow Linearization: Theory
Further, this tutorial implements extensive numerical comparisons of all existing DPFL methods (40 methods in total) and four classic physics-driven approaches, focusing on their generalizability, applicability, accuracy, and computational efficiency.
Distributed Emergency Frequency Control Considering Transient Stability Constraints in Multi-Infeed Hybrid AC-DC System
Both of these two control laws can guarantee transient stability constraints, restore system frequency and achieve the defined optimal control objective.
Incentive Mechanism Design for Emergency Frequency Control in Multi-Infeed Hybrid AC-DC System
In multi-infeed hybrid AC-DC (MIDC) systems, the emergency frequency control (EFC) with LCC-HVDC systems participating is of vital importance for system frequency stability.
Stochastic Gradient-based Fast Distributed Multi-Energy Management for an Industrial Park with Temporally-Coupled Constraints
Contemporary industrial parks are challenged by the growing concerns about high cost and low efficiency of energy supply.
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
Therefore, federated learning can be exploited to train a collaborative fault diagnosis model.
Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park
Owing to large industrial energy consumption, industrial production has brought a huge burden to the grid in terms of renewable energy access and power supply.
Fast Distributed Stochastic Scheduling for A Multi-Energy Industrial Park
To solve the issue, the energy management problem is constructed as a stochastic optimization problem.
Approaching the Transient Stability Boundary of a Power System: Theory and Applications
Estimating the stability boundary is a fundamental and challenging problem in transient stability studies.
Robust Scheduling of Virtual Power Plant under Exogenous and Endogenous Uncertainties
Virtual power plant (VPP) provides a flexible solution to distributed energy resources integration by aggregating renewable generation units, conventional power plants, energy storages, and flexible demands.
