Optimization of a Cluster-Based Energy Management System Using Deep Reinforcement Learning Without Affecting Prosumer Comfort: V2X Technologies and Peer-to-Peer Energy Trading

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 31551 - 31575

Published: Jan. 1, 2024

The concept of Prosumer has enabled consumers to actively participate in Peer-to-Peer (P2P) energy trading, particularly as Renewable Energy Source (RES)s and Electric Vehicle (EV)s have become more accessible cost-effective. In addition the P2P prosumers benefit from relatively high capacity EVs through integration Vehicle-to-X (V2X) technologies, such Vehicle-to-Home (V2H), Vehicle-to-Load (V2L), Vehicle-to-Grid (V2G). Optimization an Management System (EMS) is required allocate efficiently within cluster, due complex pricing exchange mechanism trading multiple with V2X technologies. this paper, Deep Reinforcement Learning (DRL) based EMS optimization method proposed optimize exchanging mechanisms without affecting comfort prosumers. applied a small-scale cluster-based environment, including (6) prosumers, novel hybrid mechanisms, technologies (V2H, V2L, V2G) reduce overall costs increase Self-Sufficiency Ratio (SSR)s. Multi Double Q-Network (DDQN) agents DRL algorithm implemented environment formulated Markov Decision Process (MDP) decision-making process. Numerical results show that reduces by 19.18%, increases SSRs 9.39%, achieves 65.87% SSR. Additionally, numerical indicates model-free DRL, DDQN agent (DQN) (RL) algorithm, promise eliminate management complexities uncertainties.

Language: Английский

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A combination of MILP and game theory methods for P2P energy trading by considering network constraints

Applied Energy, Journal Year: 2024, Volume and Issue: 374, P. 123916 - 123916

Published: Aug. 1, 2024

Language: Английский

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Optimizing Microgrid Energy Management: Metaheuristic versus Conventional Techniques

Published: March 6, 2024

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EABC-AS: Elite-driven artificial bee colony algorithm with adaptive population scaling

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 94, P. 101893 - 101893

Published: March 4, 2025

Language: Английский

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Research on Optimization Method of Home Energy Management System in Smart Grid

Journal of Electrical Engineering and Technology, Journal Year: 2024, Volume and Issue: 19(5), P. 2963 - 2972

Published: Feb. 14, 2024

Language: Английский

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Modeling and Control Strategies for Energy Management in a Wastewater Center: A Review on Aeration

Energies, Journal Year: 2024, Volume and Issue: 17(13), P. 3162 - 3162

Published: June 27, 2024

Effective modeling and management are critical in wastewater treatment facilities since the aeration process accounts for 65–70% of overall energy consumption. This study assesses control strategies specifically designed different sizes WWTP, analyzing their economic, environmental, energy-related effects. Small WWTPs see advantages from utilization on/off proportional–integral–derivative (PID) methods, resulting 10–25% savings reduction dissolved oxygen (DO) levels by 5–30%. Cascade model predictive (MPC) improve efficiency 15–30% stabilize DO 15–35% medium-sized WWTPs. Advanced that utilize technologies such as MPC integrated with artificial intelligence (AI) machine learning (ML) can decrease usage 30–40% enhance 35–40%. Life cycle assessment (LCA) demonstrates substantial decreases greenhouse gas (GHG) emissions: 5–20% small, medium, 30–35% large These findings illustrate feasibility expandability these tactics both controlled laboratory environments real-world situations, emphasizing significance customized methods improving sustainability treatment. Subsequent investigations should prioritize integrating renewable sources resolving obstacles developing nations to plants’ sustainability.

Language: Английский

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Comparison of Energy Storage Management Techniques for a Grid-Connected PV- and Battery-Supplied Residential System

Electronics, Journal Year: 2023, Volume and Issue: 13(1), P. 87 - 87

Published: Dec. 24, 2023

The use of renewable energy sources (RES) such as wind and solar power is increasing rapidly to meet growing electricity demand. However, the intermittent nature RES poses a challenge grid stability. Energy storage (ES) technologies offer solution by adding flexibility system. With emergence distributed resources (DERs) transition prosumer-based systems, management systems (EMSs) have become crucial coordinate operation different devices optimize system efficiency functionality. This paper presents an EMS for residential photovoltaic (PV) battery that addresses two functionalities: cost minimization, self-consumption maximization. proposed takes into account operational requirements their lower-level controllers. A genetic algorithm (GA) used solve optimization problems, ensuring desired State Charge (SOC) at end day based on next forecast, without discretizing SOC transitions allowing continuous search space. importance adhering manufacturer’s operating specification avoid premature degradation highlighted, comparative analysis performed with simple tariff-driven solution, evaluating total cost, exchange, peak power. Tests are carried out in detailed model, where Power Electronics Converters (PECs) local controllers considered together EMS.

Language: Английский

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Comprehensive Comparison of Mover-PM and Stator-PM Linear-Rotary Generators for Wind-Wave Combined Energy Conversion System

IEEE Transactions on Industry Applications, Journal Year: 2024, Volume and Issue: 60(4), P. 6170 - 6185

Published: May 8, 2024

A direct-drive wind-wave combined energy conversion (WWCEC) system that uses a linear-rotary generator (LRG) has aroused much interest recently. Thanks to the application of LRG, this advantages high output, low non-working hours, and development cost. This paper aims investigate suitable topology LRG for WWCEC system, two types permanent magnet (PM) LRGs (PMLRGs) are proposed compared. One is mover-PM machine (MPMLRG) which belongs PM synchronous generator, other one stator-PM (SPMLRG) flux-switching generator. The performance contrast between both PMLRGs conducted, including no-load on-load characteristics, in mutual effect thermal analysis involved. assembly complexity manufacturing cost also analyzed. comparison results indicate MPMLRG superiority output power, SPMLRG easier assemble. To validate our analysis, an prototype processed tested. Furthermore, levelized (LCOE) estimated, underscoring its cost-effectiveness. Some suggestions topologies summarized outlook section.

Language: Английский

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Frequency stability of new energy power systems based on VSG adaptive energy storage coordinated control strategy

Energy Informatics, Journal Year: 2024, Volume and Issue: 7(1)

Published: July 4, 2024

Abstract A self-adaptive energy storage coordination control strategy based on virtual synchronous machine technology was studied and designed to address the oscillation problem caused by new units. By simulating characteristics of generators, inertia level power system enhanced, frequency stability optimization achieved. This is integrated with response model improve system's regulation capability achieve more stable efficient operation. From results, damping increased, decreased after a duration about 15 s, improved 76.09%. The proposed generator adaptive 83.25%. In addition, has indicators completion efficiency 40.57% 22.21% respectively, both which are better than comparative strategies. As result, this significantly enhances system, positive effect achieving operation maintaining system.

Language: Английский

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Model-free event-triggered resilient control for discrete-time nonlinear systems under sparse actuator attacks via GrHDP

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 4, 2024

Language: Английский

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