Results 71 to 80 of about 698 (139)
In emergency situations where ground base stations are disabled, UAVs, due to their low cost and high adaptability, restore communication coverage in remote areas. The main challenge is optimally determining the three‐dimensional positions of the UAVs to meet dynamic user demand and reduce interference.
Nooshin Boroumand Jazi +2 more
wiley +1 more source
In view of centralized optimization facing the shortcomings of heavy communication burden, poor privacy, lack of autonomy or susceptibility to communication failures, a decentralized optimization framework is proposed to apply in parallel architecture ...
Dengyin Jiang +4 more
doaj +1 more source
AC optimal power flow (AC~OPF) is a challenging non-convex optimization problem that plays a crucial role in power system operation and control. Recently developed convex relaxation techniques provide new insights regarding the global optimality of AC ...
Crow, Mariesa L. +2 more
core +1 more source
In this paper, a day‐ahead active and reactive power coordinated optimization strategy for active distribution networks with dynamic network reconfiguration and soft open point is proposed. The distribution system operation economy and voltage quality have been improved through the coordinated optimization of network dynamic reconfiguration, soft open ...
Chen Li, Yao Dai, Peng Wang, Shiwei Xia
wiley +1 more source
This paper introduces a two-stage optimization method for the optimal location, capacity, and hourly scheduling of switchable capacitors. Unlike existing approaches, the proposed optimization framework accounts for daily load consumption shapes and the ...
Nang-Van Pham, Xuan-Giang Phan
doaj +1 more source
A Status Report on Conflict Analysis in Mixed Integer Nonlinear Programming
Mixed integer nonlinear programs (MINLPs) are arguably among the hardest optimization problems, with a wide range of applications. MINLP solvers that are based on linear relaxations and spatial branching work similar as mixed integer programming (MIP ...
A Forsgren +37 more
core +1 more source
Data‐driven energy sharing for multi‐microgrids with building prosumers: A hybrid learning approach
A hybrid learning approach is proposed in this study. XGBoost‐based demand response model of prosumers is first trained by supervised learning and then embedded into the MADRL environment. And an XGBoost‐embedded MADDPG algorithm is adopted to obtain the optimal scheduling strategy of MMGs with building prosumers through off‐line centralized training ...
Haonan Sun +3 more
wiley +1 more source
Abstract A disaster disrupts energy trading between the distribution network (DN) and autonomous areas in the multi‐area active distribution network (MA‐ADN). Since these areas are self‐interested agents, the energy transaction cost between them should be considered when determining the grid restoration scheme.
Hekmat Beiranvandi +3 more
wiley +1 more source
The increasing penetration of renewable energy threatens frequency security in future power systems, while electric vehicle charging stations (EVCSs) can provide flexible and fast frequency response (FR).
Zepeng Li +6 more
doaj +1 more source
The two‐stage reactive power optimization framework consists of day‐ahead centralized optimization and real‐time decentralized optimization. Abstract The uncertainty of distributed energy resources (DERs) and loads in distribution networks poses challenges for reactive power optimization and control timeliness.
Ghulam Abbas, Wu Zhi, Aamir Ali
wiley +1 more source

