Open access
Similar papers
Open access
2026
Congestion Management of Power System With Integration of Renewable Resources Considering Demand Response Based on Improved Ecosystem-Based Optimization Method
Recently, transmission congestion remains a critical challenge in power systems, especially in deregulated markets. While Generation Rescheduling (GR) is the conventional approach for Congestion Management (CM), integrating Demand Response (DR) and Distributed Generation (DG) has also proven to offer system operational...
Van-Tuan Duong, L. Duong
· IEEE Access · 0 citations
Preprint
Aug 2026
Optimization of Closed-Loop Pumped-Storage Hydropower Siting
Accelerating variable renewable energy integration introduces substantial operational challenges to modern power grids. Frequent curtailment of surplus renewable generation highlights the pressing need for long-duration energy storage capable of shifting generation to high-demand periods while providing essential ancil...
L. R. Albuquerque, R. Kelman, Tarcisio Castro et al.
· 1 citation
Open access
Aug 2026
Multi objective operation optimization method for flexible resources in industrial parks considering multiple uncertainties of source and load
With the large-scale integration of distributed renewable energy and the increasing volatility of electric and gas loads, traditional deterministic models struggle to accurately characterize the dynamic response behavior of park-level energy systems. To address this issue, this paper proposes a multi-objective operatio...
W. Liu, Z. Song, L. Li et al.
· Advanced Electromagnetics · 0 citations
Open access
Oct 2026
Stored-Energy-Based Operation Rules for Cascaded Hydropower to Support High-Renewable Integration
High wind and photovoltaic (PV) penetration reshapes intra-annual residual energy demand and changes hydropower generation space and operating patterns. Conventional medium- to long-term scheduling methods struggle to coordinate renewable-energy integration, supply reliability, and seasonal hydropower utilization. This...
Tian-Cai Zuo, Rong Huang, Jiang-Long Zhu et al.
· Water · 0 citations
Open access
Sep 2026
A Multi-Objective Dung Beetle Optimization-Based Optimal Scheduling Strategy for Active Distribution Networks with Large-Scale Electric Vehicle Integration
The large-scale integration of electric vehicles (EVs) can increase load fluctuations, operating costs, and security risks in active distribution networks (ADNs). To address these challenges, this study proposes a multi-objective optimal scheduling strategy based on a Multi-Objective Dung Beetle Optimization (MODBO) al...
Ze-Sheng Hu, Kaikai Wang, Zhao-Rui Lu et al.
· Processes · 0 citations
Open access
Sep 2026
Multi-Objective Jellyfish Search Algorithm for Two-Level Stochastic Planning and Demand-Side Management of Renewable-Integrated Microgrids
The optimal placement and power injection of photovoltaic (PV), wind, and battery energy storage system (BESS) units are critical for reliable microgrid operation under renewable-generation uncertainty. This study proposes a two-level planning-and-operation framework for a grid-connected microgrid. At the planning stag...
Vijithra Nedunchezhian, Muthukumar Kandasamy, Renugadevi Thangavel et al.
· Sustainability · 0 citations