Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 243, P. 122875 - 122875
Published: Dec. 14, 2023
Language: Английский
Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 9970 - 9970
Published: June 22, 2023
Multi-objective energy optimization is indispensable for balancing and reliable operation of smart power grid (SPG). Nonetheless, multi-objective challenging due to uncertainty multi-conflicting parameters at both the generation demand sides. Thus, opting a model that can solve load distributed source scheduling problems necessary. This work presents cost pollution emission with renewable in SPG. Solar photovoltaic wind are which have fluctuating uncertain nature. The proposed system uses probability density function (PDF) address generation. developed based on wind-driven (MOWDO) algorithm problem. To validate performance particle swarm (MOPSO) used as benchmark model. Findings reveal MOWDO minimizes operational by 11.91% 6.12%, respectively. findings demonstrate outperforms comparative models accomplishing desired goals.
Language: Английский
Citations
17
Engineering Science and Technology an International Journal, Journal Year: 2024, Volume and Issue: 51, P. 101649 - 101649
Published: Feb. 24, 2024
This paper introduces a novel model for optimizing microgrid systems by integrating multi-purpose renewable energy (MEM) and cutting-edge technologies, including electric vehicles (EVs). The proposed MEM demand response programs encompass various sources such as wind energy, multi-carrier storage boilers, combined heat cooling units, EVs, P2G (power-to-gas), capabilities. primary objective is to minimize the total operational cost of system. A distinctive aspect method lies in considering prices all carriers unknown variables. Market are integrated into modeling process, incorporating scenarios with reasonable probabilities taking account demand-side management programs. Moreover, allows customizable programming different parts multi-energy microgrids, focus on maintaining convexity principles operating area each CHP (combined power) unit. To tackle unique complexity this optimization problem, developed blue whale algorithm proposed. builds upon main (WOA), promising population-based approach. However, effectiveness WOA heavily relies careful setting exploration exploitation parameters, which may lead being trapped local optima. address challenge, self-adaptation modification based wavelet theory enhance WOA's performance. thoroughly evaluated through simulation studies scenarios, showcasing their efficacy achieving cost-efficient sustainable operation. combination emerging technologies like along improved algorithm, marks significant contribution advancing planning operation towards low-cost, reliable, environmentally-friendly solutions.
Language: Английский
Citations
8
Energies, Journal Year: 2024, Volume and Issue: 17(1), P. 254 - 254
Published: Jan. 3, 2024
The rapid advancement in technology and rise energy consumption have motivated research addressing Demand-Side Management (DSM). In this research, a novel design for Home Energy (HEM) is proposed that seamlessly integrates Battery Storage Systems (BESSs), Photovoltaic (PV) installations, Electric Vehicles (EVs). Leveraging Mixed-Integer Linear Programming (MILP) approach, the system aims to minimize electricity costs. optimization model takes into account Real-Time Pricing (RTP) tariffs, facilitating efficient scheduling of household appliances optimizing patterns BESS charging discharging, as well EV discharging. Both individual multiple Smart (SH) case studies showcase noteworthy reductions SHs, remarkable cost reduction 46.38% was achieved compared traditional SH scenario lacking integration PV, BESS, EV.
Language: Английский
Citations
6
IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 33640 - 33651
Published: Jan. 1, 2023
Demand response (DR) shaves peak energy consumption and drives conservation to ensure reliable operation of power grid.With the emergence smart grid (SPG), DR has become increasingly popular highly contributes optimization. On this note, in work, is adopted for scheduling home appliances reduce utility bill payment, average demand ratio (PADR), discomfort. First, are classified into two categories according time flexibility: time-flexible power-flexible. Secondly, demand-side users usage problem modelled as per user priority modes considering supply. Finally, scheduler (ECS) developed adjust both types under different acquire desired tradeoff between bills payment discomfort, PADR Simulation results depict that employing proposed ECS benefits by minimizing their PADR, achieving Results illustrate reduced alleviated without compromising comfort 28% 21%, respectively, compared case.
Language: Английский
Citations
15
Sensors, Journal Year: 2023, Volume and Issue: 23(16), P. 7233 - 7233
Published: Aug. 17, 2023
The Internet of Things (IoT) represents a cutting-edge technical domain, encompassing billions intelligent objects capable bridging the physical and virtual worlds across various locations. IoT services are responsible for delivering essential functionalities. In this dynamic interconnected landscape, providing high-quality is paramount to enhancing user experiences optimizing system efficiency. Service composition techniques come into play address requests in applications, allowing collaborate seamlessly. Considering resource limitations devices, they often leverage cloud infrastructures overcome technological constraints, benefiting from unlimited resources capabilities. Moreover, emergence fog computing has gained prominence, facilitating application processing edge networks closer sensors effectively reducing delays inherent data centers. context, our study proposes cloud-/fog-based service IoT, introducing novel fuzzy-based hybrid algorithm. This algorithm ingeniously combines Ant Colony Optimization (ACO) Artificial Bee (ABC) optimization algorithms, taking account energy consumption Quality (QoS) factors during selection process. By leveraging algorithm, approach aims revolutionize environments by empowering decision-making capabilities ensuring optimal satisfaction. Our experimental results demonstrate effectiveness proposed strategy successfully fulfilling identifying suitable services. When compared recently introduced methods, yields significant benefits. On average, it reduces 17.11%, enhances availability reliability 8.27% 4.52%, respectively, improves average cost 21.56%.
Language: Английский
Citations
15
Energy Science & Engineering, Journal Year: 2023, Volume and Issue: 11(12), P. 4635 - 4665
Published: Oct. 30, 2023
Abstract This paper introduces a Modified Reptile Search Algorithm (MRSA) designed to optimize the operation of distribution networks (DNs) considering growing integration renewable energy sources (RESs). The RESs‐based Distributed Generation (DG) systems, such as wind turbines (WTs) and photovoltaics (PVs), presents complex challenge due its significant impact on DN operations planning, particularly uncertainties related solar irradiance, temperature, speed, consumption, prices. primary objective is cost reduction, encompassing electricity acquisition, PV WTs unit costs, annual losses. proposed MRSA incorporates two strategies: fitness‐distance balance method Levy flight motion, enhancing searching capabilities beyond standard mitigating local optima issues. in load demand, prices, generation are represented through probability density functions simulated using Monte Carlo methods. Evaluation involves typical bentchmark real 112‐bus Algerian DN, comparing MRSA's efficacy with other optimization techniques. Results indicate that program PVs reduces costs by 21.43%, from 6.2715E + 06 4.9270E USD, reduce voltage deviations 21.67%, 77.1022 60.4007 enhance system stability 2.59%, 2.3699E 03 2.4314E compared base case.
Language: Английский
Citations
14
Applied Sciences, Journal Year: 2023, Volume and Issue: 13(4), P. 2355 - 2355
Published: Feb. 12, 2023
In the smart grid, electricity price is a key element for all participants in electric power industry. To meet grid’s various goals, Demand-Response (DR) control aims to change consumption behavior of consumers based on dynamic pricing or financial benefits. DR methods are divided into centralized and distributed communication model. control, communicate directly with company, without communicating among themselves. consumer interactions offer data utility about overall consumption. Online auctions systems several software agents working behalf human buyers sellers. The coordination model chosen can have substantial impact performance these agents. Based fair energy scheduling method, we examined Vickrey Dutch models an electronic marketplace both analytically empirically. number messages exchanged between were essential indicators. For simulation, GridSim was used, as it open-source platform that includes capabilities application composition, resource discovery information services, interfaces assigning applications resources. We concluded better than supply-driven world where there abundance power. terms equity, more equitable auctions. This because allow bidders compete equal footing, each bidder having same opportunity win item at lowest possible price. contrast, lead outcomes favor certain over others, may submit bids higher necessary increase their chances winning.
Language: Английский
Citations
11
Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 97, P. 112963 - 112963
Published: July 17, 2024
The aim of this work is the optimization a polygeneration grid including renewable sources and fossil-fuel based prime movers. system produces both electrical thermal power equipped with energy storage device in form hot water tank. layout has been chosen to consider needs University campus Savona configuration improve flexibility for possible extensive optimization. Starting from demands different typical days, multi-objective approach used minimize generation costs CO2 emissions. activity carried out comparing use technologies (e.g., boiler against heat pump) order assess performance cases. Special attention devoted an innovative Since sizing devices remains open aspect due balancing security constraints cost/emission association stored energy, method proposed here can generate solutions important benefits on Moreover, contrasts minimization objectives, shows related applied real smart grid. An innovation application pump analyses. In details, algorithm demonstrate improvements terms emissions cost savings considering integration existing (−13.2 % decrease target, −16.6 emission objective, and, finally, −35.2 cost*CO2 objective here).
Language: Английский
Citations
4
ISA Transactions, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 1, 2024
Language: Английский
Citations
4
Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106145 - 106145
Published: Jan. 1, 2025
Language: Английский
Citations
0