A systematic review on power system resilience from the perspective of generation, network, and load
Power systems are the backbone of modern society, but high-impact and low-probability
natural disasters pose unprecedented challenges to power systems in recent years. Power …
natural disasters pose unprecedented challenges to power systems in recent years. Power …
Quantitative analysis of power systems resilience: Standardization, categorizations, and challenges
Power systems incur considerable operational and infrastructural damages from high impact
low probability events such as natural disasters. It therefore becomes imperative to quantify …
low probability events such as natural disasters. It therefore becomes imperative to quantify …
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 …
participate in demand response through different types of demand response incentive …
Planning of distributed renewable energy systems under uncertainty based on statistical machine learning
X Fu, X Wu, C Zhang, S Fan… - Protection and Control of …, 2022 - ieeexplore.ieee.org
The development of distributed renewable energy, such as photovoltaic power and wind
power generation, makes the energy system cleaner, and is of great significance in reducing …
power generation, makes the energy system cleaner, and is of great significance in reducing …
Optimal stochastic scheduling of plug-in electric vehicles as mobile energy storage systems for resilience enhancement of multi-agent multi-energy networked …
This paper presents an optimal scheduling of plug-in electric vehicles (PEVs) as mobile
power sources for enhancing the resilience of multi-agent systems (MAS) with networked …
power sources for enhancing the resilience of multi-agent systems (MAS) with networked …
Resilient distribution networks by microgrid formation using deep reinforcement learning
Resilience becomes vital for power grids facing the increasingly frequent extreme weather
events. Microgrid formation is a promising way to achieve resilient distribution networks …
events. Microgrid formation is a promising way to achieve resilient distribution networks …
Sustainable solutions for advanced energy management system of campus microgrids: Model opportunities and future challenges
Distributed generation connected with AC, DC, or hybrid loads and energy storage systems
is known as a microgrid. Campus microgrids are an important load type. A university campus …
is known as a microgrid. Campus microgrids are an important load type. A university campus …
An energy management system of campus microgrids: State-of-the-art and future challenges
The multiple uncertainties in a microgrid, such as limited photovoltaic generations, ups and
downs in the market price, and controlling different loads, are challenging points in …
downs in the market price, and controlling different loads, are challenging points in …
Renewable energy deployment and COVID-19 measures for sustainable development
The main goal of this study is to evaluate the impact of restrictive measures introduced in
connection with COVID-19 on consumption in renewable energy markets. The study will be …
connection with COVID-19 on consumption in renewable energy markets. The study will be …
Mobile energy storage systems with spatial–temporal flexibility for post-disaster recovery of power distribution systems: A bilevel optimization approach
Y Shen, T Qian, W Li, W Zhao, W Tang, X Chen, Z Yu - Energy, 2023 - Elsevier
In recent years, the damage to power distribution systems caused by the frequent
occurrence of extreme disasters in the world cannot be ignored. In the face of the customer's …
occurrence of extreme disasters in the world cannot be ignored. In the face of the customer's …