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Sep 2026
Coordinated Scheduling of Distribution Network and Transportation System for EVs with Aggregated Flexibility and Endogenous Dynamic Pricing
With the large-scale integration of Electric Vehicles (EVs) into distribution systems, the spatiotemporal uncertainty of charging loads and the interplay between user charging behavior and network operational constraints present new challenges to the safe and economical operation of the power system. To address the ins...
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· Energies · 0 citations
Open access
Aug 2026
Multi-objectives approach for economic optimization in the smart electrical grid with demand response and electric vehicle
This paper presents an introduction to a multi-objective optimization framework that has been specifically designed to enhance the short-term operational scheduling of energy systems within smart parking lots. The innovative framework integrates the Improved Seagull Algorithm (ISA) with an Adaptive approach, which is c...
M. Mohammadi, Khashimova Naima, Khodjaeva Nodirakhon et al.
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Open access
2026
Look-Ahead Vehicle-to-Grid-Aware Distribution Optimal Power Flow Approach Considering Enhanced C-ADMM-Based Electric Vehicle Aggregation Scheduling
: To address the impact of electric vehicle (EV) aggregation services on distribution network operation, this paper proposes a look-ahead vehicle-to-grid (V2G)-aware distribution optimal power flow (DOPF) approach that explicitly incorporates the time-varying V2G control errors arising from EV battery dispatch into rea...
Chao Lei, Yi-Yao Zhou, Bo-Ru Chen
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Open access
Aug 2026
Multiobjective framework for congestion management through coordinated scheduling of generation and demand
The safe and secure operation of power system networks remains a significant challenge due to the ever-increasing demand for electrical energy. In deregulated environments, there is a strong emphasis on the optimal and efficient utilization of existing resources. This work aims to address line congestion by optimally r...
Jayesh G. Priolkar, G. Kunkolienkar
· International Journal of Ele... · 0 citations
Open access
Sep 2026
Robust multi-time-scale dispatch of virtual power plants via entropy-guided rolling optimization and fuzzy-probabilistic control
Aiming at the challenges of large day-ahead forecast errors, difficult multi-time-scale dispatch coordination, and state of charge (SOC) violation risks in energy storage equipped virtual power plants (VPPs), this paper proposes a multi-level robust optimal dispatch method based on rolling horizon optimization and mode...
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Conference
Open access
Jul 2026
Real-Time Dispatching of a Strongly Constrained Virtual Power Plant Based on an Improved Deep Q-Network Algorithm
The results indicate that the proposed approach can improve the economic performance, low-carbon operation capability, and online dispatch feasibility of strongly constrained VPPs, showing practical value for real-time intelligent energy management.
Yaoze Liu, Longteng Ma, Guo-Hua Yang
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