A Novel Political Optimizer Integrated with ThingSpeak Platform for Multi-Objective Energy Management in Microgrids DOI Creative Commons

Karim M. Hassanin,

Diaa‐Eldin A. Mansour, Takeyoshi Kato

et al.

Smart Grids and Sustainable Energy, Journal Year: 2024, Volume and Issue: 9(2)

Published: Dec. 9, 2024

Microgrids (MGs) play a crucial role in the electrification of urban and rural areas due to continuous growth power demand. Introducing Renewable Energy Sources (RESs) into electricity sector significantly helps decrease operational costs emissions from conventional generation, especially when installed MGs near customers, reducing transmission losses costs. Incorporating RESs with different Distributed Generators (DGs) creates critical need for an Management System (EMS) coordinate distribute among them. Additionally, sudden changes load demand, RES outputs, other system conditions require real-time monitoring various components parameters. Therefore, this paper proposes newly developed Political Optimizer (PO) integrated Internet Things (IoT) technology ThingSpeak platform address simulate multi-objective energy management problem. The aim is minimize total generation treatment expenses while maintaining supply-demand balance providing customers required consistently, reliably, efficiently. proposed MG comprises DGs dispatch power, such as Fuel Cells (FC), Gas Turbines (GT), (Photovoltaics Wind Turbines), Conventional Diesel (CDG), main grid. grid operates both active passive modes operation. PO, combined IoT ThingSpeak, successfully minimized expenses. results obtained demonstrated effectiveness efficiency EMS, it was compared algorithms outperformed them, achieving lowest all test cases, reductions reaching 10% some cases.

Language: Английский

Optimal scheduling and energy management of a multi-energy microgrid with electric vehicles incorporating decision making approach and demand response DOI Creative Commons

G. Y. Xiao,

Huan Liu,

Javad Nabatalizadeh

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 11, 2025

Language: Английский

Citations

1
Optimization scheduling of microgrid comprehensive demand response load considering user satisfaction DOI Creative Commons
Chaoliang Wang, Xiong Li

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 11, 2024

Abstract The original load control model of microgrid based on demand response lacks the factors incentive response, overall satisfaction users is low, degree Time Of Use (TOU) price peak-valley filling capacity weak, and difference curve large. Regarding limitations current model, this study further optimizes flexible strategy proposes a two-objective optimization incentive. Meanwhile, solved using an improved chaotic particle group algorithm. Finally, data were selected for simulation analysis. results showed that comprehensive proposed increased by 9.51%, operating cost suppliers decreased 12.975/ten thousand yuan, peak valley 4.61%, user 27.24%. effectively improves profit supply side microgrid, satisfaction, maximizes linkage benefits micro grid. In addition, reduces phenomenon distributed power in realizes matching whole microgrid.

Language: Английский

Citations

4
Distributed stochastic model predictive control for energy dispatch with distributionally robust optimization DOI
Mengting Lin, Bin Li, Carlo Cecati

et al.

Applied Mathematics and Mechanics, Journal Year: 2025, Volume and Issue: 46(2), P. 323 - 340

Published: Jan. 30, 2025

Language: Английский

Citations

0
A Hybrid Demand-Side Policy for Balanced Economic Emission in Microgrid Systems DOI Creative Commons
Arvind R. Singh, Bishwajit Dey, Srikant Misra

et al.

iScience, Journal Year: 2025, Volume and Issue: 28(3), P. 112121 - 112121

Published: Feb. 27, 2025

Language: Английский

Citations

0
Strategy for optimizing the bidirectional time-of-use electricity price in multi-microgrids coupled with multilevel games DOI
Can Wang,

Yuzheng Liu,

Yu Zhang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135731 - 135731

Published: March 1, 2025

Language: Английский

Citations

0
A comprehensive techno-economic analysis for a PHEV-integrated microgrid system involving wind uncertainty and diverse demand side management policies DOI Creative Commons
Bishwajit Dey,

Laishram Khumanleima Chanu,

Gulshan Sharma

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105176 - 105176

Published: May 1, 2025

Language: Английский

Citations

0
Smart Grid Stability Prediction Using Adaptive Aquila Optimizer and Ensemble Stacked BiLSTM DOI Creative Commons
Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103261 - 103261

Published: Oct. 1, 2024

Language: Английский

Citations

3
A Metaheuristic Approach to Analyze the Techno-Economical Impact of Energy Storage Systems on Grid-Connected Microgrid Systems Adapting Load-Shifting Policies DOI Open Access
Bishwajit Dey, Senthil Krishnamurthy, Nande Fose

et al.

Processes, Journal Year: 2024, Volume and Issue: 13(1), P. 65 - 65

Published: Dec. 31, 2024

Battery energy storage systems (BESSs) and plug-in hybrid electric vehicles (PHEVs) are essential for microgrid operations to be financially viable. PHEVs can serve as mobile devices, storing excess during times of low demand delivering it high demand. By offering reliable on-site storage, BESSs improve cost efficiency by allowing the store cheap, off-peak electricity release when prices increase. To minimize generation costs alleviate grid stress periods demand, load-shifting policies shift inelastic loads hours lower. When combined, these tactics support dependable, affordable, effective management. A recently developed RIME algorithm is used optimization tool reduce total operating (TOC) an MG system three cases situations. The emphasize a modified load style influenced optimal method (OLSM) order characteristics policy (OCLSP), whereas situations refer inclusion ESS in system. TOC decreased from $2624 without $2611 $2331 with BESSs, respectively. These were further reduced $1192, $1162, $1147, respectively, OLSM was implemented restructure base Additionally, balance between minimal carbon emission obtained OLSM-based model BESSs. outperformed many algorithms consistent robust, yielding better quality solutions.

Language: Английский

Citations

3
A Novel Hybrid Crow Search Arithmetic Optimization Algorithm for Solving Weighted Combined Economic Emission Dispatch with Load-Shifting Practice DOI Creative Commons
Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro

et al.

Algorithms, Journal Year: 2024, Volume and Issue: 17(7), P. 313 - 313

Published: July 16, 2024

The crow search arithmetic optimization algorithm (CSAOA) method is introduced in this article as a novel hybrid technique. This proposed strategy population-based metaheuristic inspired by crows’ food-hiding techniques and merged with recently created simple yet robust (AOA). method’s performance superiority over other existing methods evaluated using six benchmark functions that are unimodal multimodal nature, real-time problems related to power systems, such the weighted dynamic economic emission dispatch (DEED) problem. A load-shifting mechanism also implemented, which reduces system’s generation cost even further. An extensive technical study carried out compare DEED penalty factor-based arrive at superior compromise option. effects of CO2, SO2, NOx studied independently determine their impact on system emissions. In addition, weights modified from 0.1 0.9, generating investigated. Nonparametric statistical analysis asserts CSAOA robust.

Language: Английский

Citations

2
Alternating direction method of multipliers based distributed energy scheduling of grid connected microgrid by considering the demand response DOI Creative Commons
Krishna Mohan Reddy Pothireddy,

Sandeep Vuddanti

Deleted Journal, Journal Year: 2024, Volume and Issue: 6(7)

Published: June 24, 2024

Abstract Global warming, environmental degradation, clean energy production, intermittent, volatile, and unpredictable renewable sources (RES’s), occasional peak demand on the system necessitates management (EM). Demand response (DR) programs in distribution network can be seen as one of foundation stones future EM. This article illustrates need for EM using DR, its benefits, types loads, clustering techniques, price-based (PBDR) etc. To accomplish goals to attain economic benefit, DR employs shifting, clipping, valley filling load growth. However, accumulation large loads at low electricity prices creates local peaks, this phenomenon is referred payback or rebound effect (RE). The occurrence RE price zone heightens volatility market clearing (MCP) operational cost microgrid. Inherently, scheduled inelastic consumers suffer from increased MCP therefore, total consumer tariff (TCT). depends curve, average ratio, percentage interruptible present system. Unclear pricing methods impede participation customers events. Moreover, majority techniques presented literature are centralized frameworks that needs complex communication technologies. fill these glitches proposed work uses a simple distributed scheduling approach based alternating direction method multipliers (ADMM) alleviate an IEEE-18 bus factor increases 0.79 0.83. Using lowers power MG 82 78 kW without compromising customer comfort satisfaction. TCT was lowered scenario 1 4 3058 2254 euros. system's dropped 65.54 64.8 kW. IEEE-33 considered assess impact TCT. Additionally, marginal generator provides 72.51 sub case 3 166.26 2. Due decrease dispatch generator, 2 sun by 11,046.41 rupees 12,912.75 rupees. In contrast, TOC decreased 6495.45 6150.75 3.

Language: Английский

Citations

1