Enabling high-efficiency economic dispatch of hybrid AC/DC networked microgrids: Steady-state convex bi-directional converter models
The use of bi-directional converters (BDCs) is crucial for enhancing power exchange in
hybrid AC/DC networked microgrids (NMGs). However, the dynamic nature of their …
hybrid AC/DC networked microgrids (NMGs). However, the dynamic nature of their …
Two-stage robust optimization for space heating loads of buildings in integrated community energy systems
A two-stage robust optimization (RO) method for buildings' space heating loads (SHLs) in an
integrated community energy system (ICES) is proposed. At the first stage, a bi-level …
integrated community energy system (ICES) is proposed. At the first stage, a bi-level …
A Flexibility-oriented robust transmission expansion planning approach under high renewable energy resource penetration
High penetrations of renewable energy sources incorporated into transmission systems
pose a substantial challenge to transmission expansion planning operations due to both the …
pose a substantial challenge to transmission expansion planning operations due to both the …
Internet data centers participating in electricity network transition considering carbon-oriented demand response
With the advent of the information era and the advance of the Internet, the electricity demand
of Internet data centers (IDCs) sees rapid growth worldwide. The demand response of the …
of Internet data centers (IDCs) sees rapid growth worldwide. The demand response of the …
Deep federated learning-based privacy-preserving wind power forecasting
Given the growing installed capacity, wind energy will exert a profound impact on the
flexibility of modern energy systems. Wind power forecasting is a practical solution for …
flexibility of modern energy systems. Wind power forecasting is a practical solution for …
Statistical machine learning for power flow analysis considering the influence of weather factors on photovoltaic power generation
It is generally accepted that the impact of weather variation is gradually increasing in
modern distribution networks with the integration of high-proportion photovoltaic (PV) power …
modern distribution networks with the integration of high-proportion photovoltaic (PV) power …
[HTML][HTML] Chance-constrained coordinated generation and transmission expansion planning considering demand response and high penetration of renewable energy
Q Yang, J Wang, J Liang, X Wang - … Journal of Electrical Power & Energy …, 2024 - Elsevier
The integration of high-penetration renewable energy has led to a significant increase in the
uncertainties of power systems, and coordinated generation and transmission expansion …
uncertainties of power systems, and coordinated generation and transmission expansion …
Highly-efficient single-level robust transmission expansion planning approach applicable to large-scale renewable energy integration
Robust transmission expansion planning (RTEP) approaches are crucial for addressing the
uncertainty associated with renewable energy sources (RESs). However, existing methods …
uncertainty associated with renewable energy sources (RESs). However, existing methods …
Decision‐dependent distributionally robust integrated generation, transmission, and storage expansion planning: An enhanced Benders decomposition approach
L Qiu, Y Dan, X Li, Y Cao - IET Renewable Power Generation, 2023 - Wiley Online Library
Integrated generation, transmission, and storage expansion planning (IGT&SP) is the
cornerstone to realize low‐carbon transition considering security constraints in the long run …
cornerstone to realize low‐carbon transition considering security constraints in the long run …