Önen, Ahmet
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Onen, Ahmet
Onen, A.
Onen, A.
Job Title
Email Address
Main Affiliation
01. Abdullah Gül University
Mühendislik Fakültesi
Elektrik-Elektronik Mühendisliği
Mühendislik Fakültesi
Elektrik-Elektronik Mühendisliği
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
13
CLIMATE ACTION
2
Research Products
17
PARTNERSHIPS FOR THE GOALS
1
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
3
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
3
Research Products
1
NO POVERTY
0
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
10
REDUCED INEQUALITIES
0
Research Products
14
LIFE BELOW WATER
0
Research Products
15
LIFE ON LAND
1
Research Products
5
GENDER EQUALITY
0
Research Products
4
QUALITY EDUCATION
1
Research Products
7
AFFORDABLE AND CLEAN ENERGY
23
Research Products
3
GOOD HEALTH AND WELL-BEING
0
Research Products
2
ZERO HUNGER
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output
45
Articles
33
Views / Downloads
1179/706
Supervised MSc Theses
1
Supervised PhD Theses
2
WoS Citation Count
1198
Scopus Citation Count
1568
WoS h-index
15
Scopus h-index
18
Patents
0
Projects
0
WoS Citations per Publication
26.62
Scopus Citations per Publication
34.84
Open Access Source
32
Supervised Theses
3
| Journal | Count |
|---|---|
| IEEE Access | 5 |
| Frontiers in Energy Research | 4 |
| Sustainability | 3 |
| Electronics | 2 |
| Electric Power Components and Systems | 2 |
Current Page: 1 / 6
Scopus Quartile Distribution
Competency Cloud
45 results
Scholarly Output Search Results
Now showing 1 - 10 of 45
Conference Object Citation - WoS: 16Citation - Scopus: 22Provision of Ancillary Services by a Smart Microgrid: An OPF Approach(Institute of Electrical and Electronics Engineers Inc., 2018) Martinez-Ramos, J. L.; Marcolini, Alejandro Marano; García-López, Francisco De Paula; Almagro-Yravedra, Fernando; Onen, Ahmet; Yoldaş, Yeliz; Fragale, NunziatinaAncillary services are all services required by the transmission (TSO) or distribution system operator (DSO) to maintain the integrity and stability of the transmission or distribution system as well as the power quality. Ancillary services that can be provided by a microgrid in grid-connected operation are frequency control support, voltage control support, congestion management, reduction of grid losses, and improvement of power quality. This paper presents the optimization problems used in the 3DMicroGrid project to determine the set-points of the different resources present in the microgrid to provide ancillary services to the power system in grid-connected operation: Frequency control, voltage control and load curtailment. Results of the optimization of the pilot microgrid used in 3DMicroGrid are presented. © 2018 Elsevier B.V., All rights reserved.Article Citation - WoS: 5Citation - Scopus: 5A Reinforcement Learning-Based Demand Response Strategy Designed From the Aggregator's Perspective(Frontiers Media S.A., 2022) Oh, Seongmun; Jung, Jaesung; Onen, Ahmet; Lee, Chul-HoThe demand response (DR) program is a promising way to increase the ability to balance both supply and demand, optimizing the economic efficiency of the overall system. This study focuses on the DR participation strategy in terms of aggregators who offer appropriate DR programs to customers with flexible loads. DR aggregators engage in the electricity market according to customer behavior and must make decisions that increase the profits of both DR aggregators and customers. Customers use the DR program model, which sends its demand reduction capabilities to a DR aggregator that bids aggregate demand reduction to the electricity market. DR aggregators not only determine the optimal rate of incentives to present to the customers but can also serve customers and formulate an optimal energy storage system (ESS) operation to reduce their demands. This study formalized the problem as a Markov decision process (MDP) and used the reinforcement learning (RL) framework. In the RL framework, the DR aggregator and each customer are allocated to each agent, and the agents interact with the environment and are trained to make an optimal decision. The proposed method was validated using actual industrial and commercial customer demand profiles and market price profiles in South Korea. Simulation results demonstrated that the proposed method could optimize decisions from the perspective of the DR aggregator.Editorial Editorial Market-Based Distributed Energy Resources Operation for Future Power Systems(Frontiers Media S.A., 2022) Onen, Ahmet; Jung, Jaesung; Guerrero, Josep M. M.; Lee, Chul-Ho; Hossain, Md AlamgirArticle Citation - WoS: 15Citation - Scopus: 22Review on Energy Application Using Blockchain Technology With an Introductions in the Pricing Infrastructure(IEEE-Inst Electrical Electronics Engineers Inc, 2022) Al-Abri, Tariq; Onen, Ahmet; Al-Abri, Rashid; Hossen, Abdulnasir; Al-Hinai, Amer; Jung, Jaesung; Ustun, Taha SelimWith the rapid transformation of the energy sector towards modern power systems represented by smart grids (SGs), microgrids (MG), and distributed generation, blockchain (BC) technology has shown the capability for solving security, privacy, and reliability challenges that hinder progress. Currently, the energy structure is forming a decentralized system that prioritizes customer satisfaction. BC technology undertakes power network stockholders in a secure energy market, transparent transactions, and fair competition and offers promising energy solutions. This paper is a comprehensive review of energy applications using BC integration. Firstly, we introduce the drivers of BC leverage that make it a potentially important component of the power network. Following that, we provide background information on BC and its application in areas other than the energy sector. Subsequently, we discuss studies and sort potential energy applications from various recent papers and surveys that have already adopted BC technology in the energy sector. Then, we summarize the pricing infrastructure for applying BC in the energy sector and identify the requirements to build it. Finally, energy security and privacy challenges based on BC are highlighted, along with potential drawbacks and concerns related to the pricing infrastructure.Research Project Mikro Şebeke Dizaynı, Geliştirilmesi Ve Gösterilmesi(TUBİTAK, 2020) Önen, Ahmet; Alan, İrfan; Alboyacı, BoraBu projede Malta da bulunan MCAST (ve daha sonra eklenen Yunanistan da bulunan_x000D_ CERTH araştırma merkezi kampüsünün) üniversitesinin elektrik şebekesini mikro şebeke_x000D_ olarak çalıştırılması konusunda yapılan simülasyonlar ve bu simülasyonların şebekede ki_x000D_ sonuçları gösterilmektedir. Proje de sekonder ve tersiyer kontrol metotları geliştirilerek mikro_x000D_ şebeke optimum işletilmesi amaçlanmıştır. Bu metotlar şebeke bağlantı modundan ada moda_x000D_ geçişlerin başarılı bir şekilde yapılmasından, işletme maliyetini minimuma indirilmesine ve yan_x000D_ hizmetlere sunulan faydaları içermektedir. Bu metodlar geliştirilirken mikro şebekenin_x000D_ davranışı analiz edilmiş ve kesikli ve belirsiz PV entegrasyonuna göre adepte edilerek_x000D_ güncellenmiştir. Pv lerin kesikli ve belirsiz davranışı depolama sistemlerinin durumu, dizel_x000D_ jeneretörlerin varlığı, yüklerin kontrol edilibilir/edilemez olması gibi birçok değişken de dikkate_x000D_ alınarak reel zamanda cevap veren kontrolcülerin geliştirildiği bir çalışma olmuştur. Reel_x000D_ zaman da çalışabilen kontrolcü tasarımında hem MATLAB araçları geliştirilmiş hemde GAMS_x000D_ ortamında da optimizasyon sonuçları ile karşılaştırılmıştır. Bu projenin gerek ülkemiz için_x000D_ gerekse tüm mikro şebeke geliştiricilere örnek olacağı düşünülmektedir. Proje kapsamında bir_x000D_ yüksek lisans tezi, bir tam ve bir de kısmi doktora öğrencisi destklemesi ve birde post-doc_x000D_ araştırmacı için ise temel teşkil etmesi açısından da akademik boyutta istenilen hedeflere_x000D_ ulaşılmıştır.Article Citation - WoS: 63Citation - Scopus: 83Rooftop Solar PV Penetration Impacts on Distribution Network and Further Growth Factors-A Comprehensive Review(MDPI, 2021) Uzum, Busra; Onen, Ahmet; Hasanien, Hany M.; Muyeen, S. M.In order to meet the electricity needs of domestic or commercial buildings, solar energy is more attractive than other renewable energy sources in terms of its simplicity of installation, less dependence on the field and its economy. It is possible to extract solar energy from photovoltaic (PV) including rooftop, ground-mounted, and building integrated PV systems. Interest in rooftop PV system applications has increased in recent years due to simple installation and not occupying an external area. However, the negative effects of increased PV penetration on the distribution system are troublesome. The power loss, reverse power flow (RPF), voltage fluctuations, voltage unbalance, are causing voltage quality problems in the power network. On the other hand, variations in system frequency, power factor, and harmonics are affecting the power quality. The excessive PV penetration also the root cause of voltage stability and has an adverse effect on protection system. The aim of this article is to extensively examines the impacts of rooftop PV on distribution network and evaluate possible solution methods in terms of the voltage quality, power quality, system protection and system stability. Moreover, it is to present a comparison of the advantages/disadvantages of the solution methods discussed, and an examination of the solution methods in which artificial intelligence, deep learning and machine learning based optimization and techniques are discussed with common methods.Conference Object Citation - WoS: 3Citation - Scopus: 8Cloud Induced PV Impact on Voltage Profiles for Real Microgrids(Institute of Electrical and Electronics Engineers Inc., 2018) Kocer, Mustafa Cagatay; Yoldaş, Yeliz; Gören, Selçuk; Onen, Ahmet; Alan, İrfan; Al-Agtash, Salem Y.; Tzovaras, Dimitrios K.Integration of renewable energy sources (RESs) into power systems has been a popular topic for a long time. Due to government policies and incentives, it will be more popular in the future since it is a free and environment-friendly nature. Besides its advantages, photovoltaic (PV) generation causes some serious problems to the grid. Since PV generation directly depends on the solar irradiance, cloud movements can cause sudden changes on the output of PV power and this results in some power issues in the system such as voltage violations, reverse power flow, voltage fluctuations. These types of issues complicate to maintain voltage within compulsory levels at customer sides. Thus, cloud-induced transients in PV power are seen as a potential handicap for the future expansion of renewable energy resources. This study investigates effects of instantaneous changes in PV power on the customer side voltage levels. Daily PV power output and voltage profiles were simulated using a real-world microgrid design that will be implemented in the Malta College of Arts Science and Technology (MCAST) Campus. © 2023 Elsevier B.V., All rights reserved.Article Citation - WoS: 8Citation - Scopus: 9Network Cost Allocation Methods for Pay-As Peer-to-Peer Energy Trading: A Comparison(Elsevier, 2022) Noorfatima, N.; Choi, Y.; Onen, A.; Jung, J.In pay-as-bid peer-to-peer (P2P) energy trading, various types of prosumers and consumers can participate, regardless of their offers. Thus, various types of participants impact the network differently. However, very few pay-as-bid P2P energy trading studies have specifically discussed appropriate compensation for network usage, although the market is implemented in existing utility-owned grids. Therefore, to improve the performance of pay-as-bid P2P energy trading, it is important to determine the appropriate compensation to utilities for network usage. This study aims to obtain an appropriate network cost allocation method for pay-as-bid P2P energy trading. Hence, the authors present a review of pay-as-bid P2P market mechanisms and various network cost allocation (NCA) methods. Additionally, a comprehensive evaluation framework is proposed to determine the most appropriate NCA method for the pay-as-bid P2P energy trading system. A comparison was made between various NCA methods to investigate the outcomes of the implementation of different NCA methods to various market conditions. The study constructs a case study based on the operator-oriented P2P model to represent the pay-as-bid P2P energy trading system. The simulation of pay-as-bid P2P energy trading with large participant number is applied in the IEEE 69-bus distribution system. The study concluded that applying the appropriate NCA method would improve the performance of pay-as-bid P2P energy trading operation.Article Citation - WoS: 15Citation - Scopus: 18Local Steady-State and Quasi Steady-State Impact Studies of High Photovoltaic Generation Penetration in Power Distribution Circuits(Pergamon-Elsevier Science Ltd, 2015) Jung, Jaesung; Onen, Ahmet; Russell, Kevin; Broadwater, Robert P.Both steady-state and quasi steady-state impact studies in high Photovoltaic (PV) penetration distribution circuits are presented. The steady-state analysis evaluates impacts on the distribution circuit by comparing conditions before and after extreme changes in PV generation at three extreme circuit conditions, maximum load, maximum PV generation, and when the difference between the PV generation and the circuit load is a maximum. The quasi steady-state study consists of a series of steady-state impact studies performed at evenly spaced time Points for evaluating the spectrum of impacts between the extreme impacts. Results addressing the impacts of cloud cover and various power factor control strategies are presented. PV penetration levels are limited and depend upon PV generation control strategies. The steady state and quasi steady-state impact studies provide information that is helpful in evaluating the effect of PV generation on distribution circuits, including circuit problems that result from the PV generation. Published by Elsevier Ltd.Article Citation - WoS: 6Citation - Scopus: 6Economic Evaluation of Distribution System Smart Grid Investments(Taylor & Francis inc, 2015) Onen, Ahmet; Cheng, Danling; Broadwater, Robert P.; Scirbona, Charlie; Cocks, George; Hamilton, Stephanie; Roark, JeffreyThis article investigates the economic benefits of smart grid automation investments. A system consisting of 7 substations and 14 feeders is used in the evaluation. Here benefits that can be quantified in terms of dollar savings are considered, termed "hard dollar" benefits. Smart grid investment evaluations to be considered include investments in improved efficiency, more cost effective use of existing system capacity with automated switches, and coordinated control of capacitor banks and voltage regulators. These smart grid evaluations are sequentially ordered, resulting in a series of incremental hard dollar benefits. Hard dollar benefits come from improved efficiency, delaying large capital equipment investments, shortened storm restoration times, and reduced customer energy use. Analyses used in the evaluation involve hourly power flow analysis over multiple years and Monte Carlo simulations of switching operations during storms using a reconfiguration for a restoration algorithm. The economic analysis uses the time-varying value of the locational marginal price. Algorithms used include reconfiguration for restoration involving either manual or automated switches and coordinated control involving two modes of control. Field validations of phase balancing and capacitor design results are presented. The evaluation shows that investments in automation can improve performance while simultaneously lowering costs.
