Operation and evaluation of digitalized retail electricity markets under low-carbon transition: recent advances and challenges DOI Creative Commons

Xiuzhen Hu,

Weicong Tan, Yuting Xie

et al.

Frontiers in Energy Research, Journal Year: 2023, Volume and Issue: 11

Published: Dec. 29, 2023

With the growth of electricity consumers purchasing green energy and development digital trading platforms, role digitalized retail markets in low-carbon transition electric systems is becoming increasingly crucial. In this circumstance, research work on needs to be further analyzed expanded, which would facilitate efficient decision-making both market players policymakers. First, paper introduces latest developments under analyzes limitations existing works. Second, from three aspects power strategy, pricing methodology, risk management, it provides an overview operation mechanism design strategies market; then, a systematic introduction evaluation system monitoring methodology markets, not sufficient for current markets. Finally, issues regarding platform optimization are summarized, topics worth investigations recommended.

Language: Английский

Demand side management strategy for smart building using multi-objective hybrid optimization technique DOI Creative Commons
Magda I. El-Afifi, Bishoy E. Sedhom, Abdelfattah A. Eladl

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102265 - 102265

Published: May 15, 2024

This study proposes a home energy management system that uses the load-shifting technique for demand-side as way to improve consumption patterns of smart house. system's goal is optimize household appliances in order effectively regulate load demand, with end result being reduction peak-to-average ratio (PAR) and consequent minimization electricity costs. accomplished while also keeping user comfort priority. Load scheduling based on both next-day real-time basis what used meet demand requested by customers. In addition providing fitness criterion, utilizing multi-objective hybrid optimization makes it easier achieve an equitable distribution workload between on-peak off-peak hours. Moreover, idea developing coordination among rescheduling now studied concept. Because inherent parallels two problems, issue framed knapsack problem solved using dynamic programming strategy. The performance suggested methodology evaluated this relation pricing (RTP), time-of-use (ToU), crucial peak (CPP). simulation findings, which were assessed confidence interval was set at 95%, provide proof relevance has been shown be associated proposed method. During RTP signal showcases minimum PAR 2.22 cost 24.06% HAG compared unscheduled case. Under TOU tariff, manages reduce 46.14% 20.44%. Similarly, case CPP, outperforms reducing up 29.5% 31.47%.

Language: Английский

Citations

21

Optimal Planning of Renewable Distributed Generators and Battery Energy Storage Systems in Reconfigurable Distribution Systems with Demand Response Program to Enhance Renewable Energy Penetration DOI Creative Commons
Saleh Ba-swaimi, Renuga Verayiah, Vigna K. Ramachandaramurthy

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104304 - 104304

Published: Feb. 1, 2025

Language: Английский

Citations

5

Allocation of Renewable Energy Resources in Distribution Systems While Considering the Uncertainty of Wind and Solar Resources via the Multi-Objective Salp Swarm Algorithm DOI Creative Commons

Iraj Faraji Davoudkhani,

Farhad Zishan,

Saeedeh Mansouri

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(1), P. 474 - 474

Published: Jan. 1, 2023

Given the importance of renewable energy sources in distribution systems, this article addresses problem locating and determining capacity these sources, namely, wind turbines solar panels. To solve optimization problem, a new algorithm based on behavior salp is used. The objective functions include reducing losses, improving voltage profiles, costs sources. In method, allocation resources considered for different load models systems levels using smart meters. Due to fact that are multi-objective, fuzzy decision-making method used select optimal solution from set Pareto solutions. lead loss reduction, profile improvement, RES cost reduction (A allocating optimally without resource limitations; B: with limitations). addition, daily wind, radiation, temperature data taken into account. proposed applied IEEE standard 33-bus system. simulation results show better performance multi-objective swarm (MSSA) at profiles losses systems. Lastly, MSSA compared PSO GA algorithms.

Language: Английский

Citations

31

Using an intelligent method for microgrid generation and operation planning while considering load uncertainty DOI Creative Commons

Saeedeh Mansouri,

Farhad Zishan, Oscar Danilo Montoya

et al.

Results in Engineering, Journal Year: 2023, Volume and Issue: 17, P. 100978 - 100978

Published: Feb. 22, 2023

The integration of distributed generation (DG), energy storage systems (ESS), and controllable loads near the place consumption has led to creation microgrids. However, uncertain nature renewable sources (wind photovoltaic), market prices, have caused issues with guaranteeing power quality balancing consumption. To solve these issues, microgrids should be managed an management system (EMS), which facilitates minimization operating (performance) costs, emission pollutants, peak while meeting technical constraints. this effect, research attempts adjust parameters by defining indicators related best possible conditions microgrid. Generation planning, generated power, exchange main grid are carried out a dual-purpose objective function, includes reducing cost generation, as well pollution it in microgrid, means SALP optimization algorithm. Moreover, order make process more realistic practical for microgrid some considered indefinite values, they do not exact values their natural state. results show effect using introduced intelligent method on function value (cost pollution).

Language: Английский

Citations

24

Dynamic compensation of active and reactive power in distribution systems through PV-STATCOM and metaheuristic optimization DOI Creative Commons

Juan David Combita-Murcia,

Camilo Andrés Romero-Salcedo,

Oscar Danilo Montoya

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102195 - 102195

Published: May 3, 2024

This article presents a heuristic methodology to address the operation problem of PV-STATCOMs, focusing on dynamic compensation active and reactive power minimize daily energy losses costs associated with purchasing in distribution networks. The is developed using master-slave type optimization approach. In master stage, potential solutions are generated an algorithm based salp swarm. contrast, slave stage evaluates these flow method by successive approximations. was evaluated two IEEE test systems, 33 69 nodes, varying factor each PV-STATCOM. results demonstrate significant reduction both network cost at substation. Furthermore, efficiency swarm for effective resolution confirmed. approach contributes optimizing PV-STATCOMs highlights proposed algorithm's applicability effectiveness practical environments.

Language: Английский

Citations

14

Efficient PID Control Design for Frequency Regulation in an Independent Microgrid Based on the Hybrid PSO-GSA Algorithm DOI Open Access
Farhad Zishan, Ehsan Akbari, Oscar Danilo Montoya

et al.

Electronics, Journal Year: 2022, Volume and Issue: 11(23), P. 3886 - 3886

Published: Nov. 24, 2022

Microgrids are a part of the power system that consists one or more units distributed generation and expected to remain in operation after being disconnected from system. Since they rely on overlying networks, frequency control is very important for network-independent operation. Some most common problems independently operating microgrids sustainability its fluctuations. The main purpose this study microgrid island mode different scenarios. objective function defined based time changes frequency. Thus, variable parameters PID controller transformed into an optimization problem solved through hybrid PSO-GSA algorithm. considers four scenarios: (a) dynamic model optimal coefficients; (b) velocity disturbance applied studied order observe frequency; (c) stepped load system; (d) proposed methods standard test function. Simulations under conditions performed, indicating improvements stability fluctuations by means method.

Language: Английский

Citations

20

Battery energy storage systems reinforcement control strategy to enhanced the maximum integration of PV to generation systems DOI Creative Commons

M.H. Saifurrohman,

M.H. Hasyid,

Lesnanto Multa Putranto

et al.

Results in Engineering, Journal Year: 2023, Volume and Issue: 18, P. 101184 - 101184

Published: May 19, 2023

Java Bali area has high potential of renewable energy resources (RES) especially for photovoltaic (PV) which can supply the power system electricity. However, PV generation intermittent characteristic, in may disturb operation. The disturbance is related to technical minimum load (TML) and ramping capability. For that purpose, maximum size should be determined regulated since it depends on generating unit type. regulation realized using reinforcement battery storage (BESS) provide flexibility, frequency management. method determine penetration level proposed this research, based commitment (UC) procedure. BESS facilities are also included as technology option more flexibility. will level, periodically committed unit, dispatched charging discharging status. simulated simplified System under three different period weekdays, weekend lowestday scenario having demand peakload combining options. result shows integration 49%, 35% 23% during lowestday, respectively. On contrary, without only 45%, 31% 17%.

Language: Английский

Citations

13

Investigation and analysis of demand response approaches, bottlenecks, and future potential capabilities for IoT‐enabled smart grid DOI Creative Commons
Muhammad Adnan Khan, Tahir Ali Khan, Muhammad Waseem

et al.

IET Renewable Power Generation, Journal Year: 2024, Volume and Issue: 18(15), P. 3509 - 3535

Published: May 26, 2024

Abstract Significant attempts have been made to make the electrical grid more intelligent and responsive better meet customers' requirements while boosting stability efficiency of current power systems. Smart technologies, which just recently emerged, facilitated incorporation demand response (DR) by introducing an information communication backbone system. The Internet Things (IoT) has emerged as a key technology for smart energy grids. Security concerns major obstacle widespread adoption IoT‐enabled devices because inherent connectivity these gadgets. Therefore, security is crucial factor address before implementation IoT‐based in In this study, framework architecture grids that are enabled IoT first examined. Then, role DR different approaches adopted worldwide schemes effective, discussed detail. Finally, authors discuss how can benefit from cutting‐edge solutions technologies them secure resistant cyber physical attacks.

Language: Английский

Citations

4

A novel fuzzy decision-making methodology for ranking energy storage investments in emerging economies DOI Creative Commons

Fikret Oflaz,

Serhat Yüksel, Hasan Dınçer

et al.

Decision Analytics Journal, Journal Year: 2023, Volume and Issue: 9, P. 100345 - 100345

Published: Oct. 21, 2023

This study aims to evaluate essential performance indicators of energy storage investments with a novel decision-making model. The first stage includes weighting the selected criteria Spherical fuzzy TOPSIS-based DEMATEL, called TOP-DEMATEL. In second stage, seven emerging countries are ranked based on effectiveness using ranking technique by geometric mean similarity ratio optimal solution (RATGOS). RATGOS is new method proposed in this address shortcomings existing methods mean. findings indicate that capacity most significant factor improving developing economies. Technological improvements also important regard. It strongly recommended technologies need be developed conducting research and development activities. Owing technological developments, more efficient batteries can produced. These products allow stored at higher capacity.

Language: Английский

Citations

9

Data-driven Technology Applications in Planning, Demand-side Management, and Cybersecurity for Smart Household Community DOI
Dipanshu Naware, Arghya Mitra

IEEE Transactions on Artificial Intelligence, Journal Year: 2024, Volume and Issue: 5(10), P. 4868 - 4883

Published: June 20, 2024

Language: Английский

Citations

1