4.7 Article

Hierarchical Intelligent Operation of Energy Storage Systems in Power Distribution Grids

Related references

Note: Only part of the references are listed.
Article Engineering, Electrical & Electronic

Distribution System Operation With Renewables and Energy Storage: A Linear Programming Based Multistage Robust Feasibility Approach

Zhongjie Guo et al.

Summary: This paper proposes a multistage robust optimization model for distribution system operation with energy storage under uncertainty. The formulation optimizes the cost in the nominal scenario instead of minimizing the worst-case cost. The method defines dynamic robust feasible regions and uses a linear programming based projection algorithm to compute these regions. The dispatch strategy ensures multistage operation security regardless of future realizations of renewable power.

IEEE TRANSACTIONS ON POWER SYSTEMS (2022)

Article Green & Sustainable Science & Technology

Multi-Stage Distributionally Robust Stochastic Dual Dynamic Programming to Multi-Period Economic Dispatch With Virtual Energy Storage

Tao Ding et al.

Summary: This paper proposes a virtual energy storage (VES) model to accommodate renewable energy under a special market regulation. A multi-stage distributionally robust optimization (MSDRO) model is set up to address temporal uncertainties. A stochastic dual dynamic programming method is employed to efficiently solve the model.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2022)

Article Automation & Control Systems

Resilient Operation of Distribution Grids Using Deep Reinforcement Learning

Mohammad Mehdi Hosseini et al.

Summary: This article introduces an intelligent resilience controller (IRC) developed using deep reinforcement learning, which generates real-time operation decisions to dispatch distributed generation and energy storage units for power restoration after sudden outages. The proposed model successfully learns the failure development pattern of uncertain high-impact events and performs well in a simulated hurricane scenario with reduced operation costs and minimal running time.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

Article Thermodynamics

Energy consumption and battery aging minimization using a Q-learning strategy for a battery/ultracapacitor electric vehicle

Bin Xu et al.

Summary: The study proposes a Q-learning-based strategy to reduce battery degradation and energy consumption in battery/ultracapacitor electric vehicles. Compared with a baseline vehicle without ultracapacitor, the Q-learning strategy is shown to slow down battery degradation by 13-20% and increase vehicle range by 1.5-2% during learning and validation driving cycles.

ENERGY (2021)

Article Engineering, Electrical & Electronic

Preparatory Operation of Automated Distribution Systems for Resilience Enhancement of Critical Loads

Hieu Trung Nguyen et al.

Summary: This paper proposes a stochastic optimization model to enhance the resilience of critical loads against extreme weather events through preparing distributed energy resources. By using hurricanes as a case study, a high-precision spatio-temporal hurricane impact analysis model and a stochastic mixed-integer conic programming model are developed to efficiently improve the response of automated distribution systems to hurricane-induced outages.

IEEE TRANSACTIONS ON POWER DELIVERY (2021)

Article Computer Science, Information Systems

Multiobjective Optimization Configuration of a Prosumer's Energy Storage System Based on an Improved Fast Nondominated Sorting Genetic Algorithm

Fei Li et al.

Summary: This study proposes an Improved Fast Nondominated Sorting Genetic Algorithm (INSGA-II) for the multiobjective configuration optimization of prosumer Energy Storage Systems (ESS). By implementing a demand response mechanism, peak shaving and valley filling can be achieved to balance load fluctuations. The results show that the algorithm has the best performance and strong algorithmic stability.

IEEE ACCESS (2021)

Article Engineering, Electrical & Electronic

Deliverable Energy Flexibility Scheduling for Active Distribution Networks

Konstantinos Oikonomou et al.

IEEE TRANSACTIONS ON SMART GRID (2020)

Article Engineering, Electrical & Electronic

Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning

Qiuling Yang et al.

IEEE TRANSACTIONS ON SMART GRID (2020)

Article Green & Sustainable Science & Technology

Hierarchical Optimal Allocation of Battery Energy Storage Systems for Multiple Services in Distribution Systems

Yu Zheng et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)

Article Engineering, Electrical & Electronic

Coordinated deliverable energy flexibility and regulation capacity of distribution networks

K. Oikonomou et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Article Green & Sustainable Science & Technology

Stochastic Dual Dynamic Programming for Operation of DER Aggregators Under Multi-Dimensional Uncertainty

Panagiotis Fatouros et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2019)

Article Engineering, Electrical & Electronic

Assessing impacts of energy storage on resilience of distribution systems against hurricanes

Hieu T. Nguyen et al.

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY (2019)

Article Computer Science, Information Systems

When Edge Computing Meets Microgrid: A Deep Reinforcement Learning Approach

Md. Shirajum Munir et al.

IEEE INTERNET OF THINGS JOURNAL (2019)

Article Engineering, Electrical & Electronic

From AlphaGo to Power System AI

Fangxing Li et al.

IEEE POWER & ENERGY MAGAZINE (2018)

Review Green & Sustainable Science & Technology

The National Solar Radiation Data Base (NSRDB)

Manajit Sengupta et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Article Energy & Fuels

Battery Energy Management in a Microgrid Using Batch Reinforcement Learning

Brida V. Mbuwir et al.

ENERGIES (2017)

Article Computer Science, Artificial Intelligence

Dynamic Energy Management System for a Smart Microgrid

Ganesh Kumar Venayagamoorthy et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)

Article Engineering, Electrical & Electronic

Stochastic Reactive Power Management in Microgrids With Renewables

Vassilis Kekatos et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2015)

Article Engineering, Electrical & Electronic

Neural-Network Security-Boundary Constrained Optimal Power Flow

Victor J. Gutierrez-Martinez et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2011)