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Active Power Loss Minimization in Electric Power Systems Through Artificial Bee Colony Algorithm
(Praise Worthy Prize Srl, 2010) Çobanlı, Serkan; Öztürk, Ali; Güvenç, Uğur; Tosun, Salih
Reactive power optimization (RPO) is an important area of study to provide working for power systems in a secure and economical way. RPO is used for the voltage control, decreasing of active power losses, and for the optimization of the power coefficients. In RPO the non-linear power loss function is used as a purpose function to be minimized. The control parameters of that function are bus voltages of the generators, level settings of transformers and the reactive power output values of the capacitors added to buses. Artificial Bee Colony (ABC) algorithm, one of the intuitive methods is used in this optimization study. In this study, by using the ABC algorithm, RPO provided on the IEEE 6-bus and IEEE 30-bus test systems. The ABC algorithm is compared with some heuristic algorithms. It is shown by the results that active power losses can be decreased by ABC algorithm. Copyright (C) 2010 Praise Worthy Prize S.r.l - All rights reserved
ACTIVE POWER LOSS MINIMIZATION IN ELECTRIC POWER SYSTEMS THROUGH CHAOTIC ARTIFICIAL BEE COLONY ALGORITHM
(Univ Osijek, Tech Fac, 2016) Kuru, Leyla; Öztürk, Ali; Kuru, Ersen; Çobanlı, Serkan
Reactive power optimization (RPO) is a major field of study to ensure power systems for operating in a secure and economical manner. RPO can be used for decreasing of active power losses, voltage control, and for the optimization of the power coefficients in power systems. The non-linear power loss function is used as an object function that will be minimized. In this study Chaotic Artificial Bee Colony (CABC) algorithm is used to minimize the active power loss of power systems. Chaotic maps such as logistic map and Henon map are used against the random number generator. CABC is applied on the IEEE6-bus and IEEE 30-bus test systems and the results are shown. Accordingly, the results have been evaluated and observed that the stability critical values found by CABC can be used to produce good potential solutions. Simulation results are promising and show the effectiveness of the applied approach.
The Application of HBA Technique to Economic Dispatch: A Case Study from Turkey
(Institute of Electrical and Electronics Engineers Inc., 2022) Andiç, Cenk; Aydın, E.; Öztürk, Ali; Türkay, Belgin
Planning the operation of electrical power systems and running them under optimal conditions is essential as the daily demand for energy rises. Thermal generation units provide the majority of the world's required electrical energy. Meeting energy demand while keeping thermal generation units' fuel costs to a minimum is the foundation of the economic distribution challenge. The economic dispatch problem is addressed in this research, and a new heuristic approach, the honey badger algorithm (HBA), is proposed to address it. Using a case study from Turkey, the suggested HBA was put through its paces. The efficiency of the suggested algorithm has been evaluated in comparison to other approaches. These include the genetic algorithm (GA), the simulated annealing (SA), and the crow search algorithm (CSA). The results demonstrate that the proposed HBA outperforms competing approaches in terms of operational success. Thus, the suggested HBA yielded daily profits of 17.9736 and annual profits of 6,740.496. Simultaneously, the proposed HBA method decreases the system's reliance on fuel while in operation and decreases the emission of hazardous gases from heat generation units. © 2022 IEEE.
AN APPROACH FOR DESIGNING PASSIVE POWER FILTERS FOR INDUSTRIAL POWER SYSTEMS BY USING GRAVITATIONAL SEARCH ALGORITHM
(Univ Osijek, Tech Fac, 2015) Tosun, Salih; Öztürk, Ali; Ertay, M. Mustafa; Yalçın, Mehmet Ali; Zengin, Ahmet
Harmonics are one of the important factors in determining the energy quality in power systems. Hence, eliminating or damping undesired harmonics is crucial in electrical power systems. Due to their low costs, Passive Power Filters (PPF) are widely used in industrial power systems to limit harmonics' undesired affects. In this study, a new approach to design a PPF for power systems using heuristic Gravitational Search Algorithms (GSA) is proposed. Traditional Try and Error (TAE) method is, first, utilized to eliminate harmonics in our model power system. Then, GSA is adopted to minimize the effective current value of Point of Common Coupling (PCC) in the same model system. Our results yield that our proposed method with GSA eliminates the harmonics effectively.
Automatic generation controller based on whale optimization algorithm in PV-thermal power systems
(Gazi Univ, Fac Engineering Architecture, 2023) Can, Ozay; Eroğlu, Hasan; Öztürk, Ali
To ensure a balance between the power generated and the consumed power in power systems, a control process namely automatic generation control (AGC) must be carried out. This process becomes more challenging due to increasing use of renewable energy sources (RES) such as wind turbines (WT) and photovoltaic (PV) panels. Therefore, AGC needs to be performed more sensitively. In this study, it has been aimed to determine the parameters of the PID controller by using the whale optimization algorithm (WOA) for the AGC in a hybrid power system consisting of photovoltaic (PV) system and thermal generator. The performance of WOA tuned PID controller is tested under load change in area-1 and area-2. Additionally, comparisons have been made with the performances of other optimization techniques such as firefly algorithm (FA), genetic algorithm (GA) and population extremal algorithm (PEO). The results obtained indicated that the WOA tuned PID controller proposed in the study gave better results than the other methods in terms of overshoot values and settling time of system frequency.
Çeşitli Yük Durumlarında Faz Kaydırıcı Transformatörlerin Güç Sistemine Etkileri
(2021) Öztürk, Ali; Bozali, Beytullah; Tosun, Salih
Son yıllarda elektrik enerjisine olan ihtiyaç devamlı artmaktadır. Gelişen teknoloji ile birlikte ise güç sistemine yeni ve farklı yük çeşitleri eklenmektedir. Bunun sonucunda, elektrik güç sisteminin işletilmesinde yeni sorunlar ortaya çıkmaktadır. Bu sorunlardan biri de güç sisteminin güvenilir ve kararlı şekilde çalıştırılmasıdır. Geleneksel yüklerin yanı sıra farklı karakteristik yükler sistemde istenmeyen etkiler oluşturabilmektedir. Bu yüklerin aynı anda Faz Kaydırıcı Transformatör (FKT) ile birlikte işletilmesinde oluşabilecek durumların incelenmesi gerekmektedir. Bilhassa ülkeler arası veya bölgeler arası güç sistemi bağlantılarında tercih edilen FKT’ler sargıları arasında faz farkı oluşturarak aktif güç kontrolu yapmaktadır. Transformatörün faz kaydırma açıları, üzerindeki sargıların kademelerinin değiştirilmesiyle elde edilmektedir. Ayrıca yük akışını kontrol etmek suretiyle enerji iletim hatlarını maksimum kapasite ve verimde kullanmak imkânı da oluşmaktadır. Bu çalışma Güç Sistemleri Analizi Programı (PSAT) benzetim programı üzerinden, FKT bulunan IEEE’nin 6 baralı güç sistemine çeşitli yükler bağlanarak güç sisteminin analizleri yapılmıştır.
Control of DC link Voltage Unit with Fuzzy Logic Controller in the Wind Farm
(Ieee, 2013) Döşoğlu, Mehmet Kenan; Poyraz, Gökhan; Dursun, Mustafa; Öztürk, Ali
In this study, the analysis of wind farm that has Double Feed Induction Generator (DFIG) with Fuzzy Logic Controller (FLC) in its operation connected to the grid is realized. In wind farm, DC voltage control is modeled with FLC. Bus voltages that are connected to grid, load bus voltage, DC link voltage, active and reactive power variations of wind farm are examined. Simulation results are demonstrated with figures by Fuzzy Logic Controller (FLC)-Proportion Integrate (PI) comparison. As a result of the studies, it is observed that FLC makes the system stable in a shorter time than PI.
Decision-making between hybrid renewable energy configurations and grid extension in rural areas for different climate zones
(Pergamon-Elsevier Science Ltd, 2023) Demirci, Alpaslan; Öztürk, Ali; Tercan, Said Mirza
The growing population and technological developments have led to irregular houses and especially industrial facilities in developing cities. Furthermore, due to social and economic factors and the increasing massive migrations, undeveloped rural projects make irregular settlements worse. Thus, the expensiveness caused by the deterioration of the supply-demand balance makes establishment or production capacity increase of industrial facilities difficult. In this study, supplying the industrial urban facilities' demand with only grid or on-grid/offgrid HPS scenarios were investigated considering expanding and relocation outside the city. Twelve industrial cities in Turkey with various climates have been evaluated using Homer (R) Pro, considering the effects of RES potential on the techno-economic parameters. The results showed that the RES potentials changed break-even distance for grid extension between 0 and 25 km. Furthermore, it has been determined that the change in the discount rate and the grid extension costs, which vary depending on the regional geographical conditions, seriously manipulate break-even distance. Particularly, it can be extended up to 55 km depending on RES potentials and grid extension capital cost. In contrast, high RES potential make unnecessary grid extension, especially where the discount rate was less than 4%. Finally, sensitivity analyses are also presented in detail.
Designation of Optimal Location of Phasor Measurement Units by Comparing Different Methods for Turkiye 400 kV Power Systems
(Taylor & Francis Inc, 2022) Bozali, Beytullah; Öztürk, Ali; Tosun, Salih
Observing a power system in an exceptional manner is rather important for system design. Phasor Measurement Unit (PMU) devices are modern meters installed in the power systems to monitor and control the systems. In this study, Depth First Search Method (DFS), Graph Theoretic Procedure (GTh), Simulated Annealing Method (SA), and Modified Simulated Annealing Method (MSA) were used to determine the optimal PMU layout points. The limitation of the observability of the whole system was also considered in the calculations. The MSA method has been proposed as an alternative solution method for the optimal number of PMUs (OPP). The MSA method has been applied to Turkiye 400 kV Interconnected Power System in which an OPP study has not been applied before. The reliability of the method was tested by comparing the results with that of the IEEE 14-bus testing system. Thus, the number of PMUs for the Turkiye 400 kV Power System and the information on which buses these PMUs should be placed were identified. Among the applied methods, MSA Method yielded the best results. The locations of these devices have also been determined which is introduced as an alternative solution.
DETERMINATION OF THE CONDITIONS OF OPTIMAL OPERATION IN POWER SYSTEMS USING GENETIC ALGORITHM
(Gazi Univ, Fac Engineering Architecture, 2009) Öztürk, Ali; Duman, Serhat
In this study, optimum operating conditions in electric power systems are determined by using Genetic Algorithm (GA), which is one of the optimization methods. Main objective of the work is determination of the voltage amplitude values of the load buses that ensure active power losses in transmission line will be minimum. A five-buses system is considered as an example and the operating voltage values of the load buses are calculated for this system using both GA and Newton-Raphson (NR) power flow method. Using these values, Static VAR Compensation (SVC) and reactive power compensation are implemented. Results show that it will be economically and energy-providently if the operating conditions are determined using GA, since the active power loss is minimized.
Determination of voltage stability boundary values in electrical power systems by using the Chaotic Particle Swarm Optimization algorithm
(Elsevier Sci Ltd, 2015) Kuru, Leyla; Öztürk, Ali; Kuru, Ersen; Kandara, O.
A power system has critical values which are the limit values of voltage stability. These values are the highest active power taken by the load busses, voltage amplitude and the angle of the busses. In this research the critical values in electric power systems are defined with use of Chaotic Particle Swarm Optimization (CPSO) algorithm. In this study CPSO has been aimed to use logistic map and Henon map as chaotic maps to control the values of the parameters in velocity update formulation. Initially, critical values of voltage stability have been found by simple Particle Swarm Optimization (PSO). Then the same values have been found with CPSO. Accordingly, the results have been evaluated and observed that the stability critical values found by CPSO can be used to produce good potential solutions. Simulation results are promising and show the effectiveness of the applied approach. (C) 2014 Elsevier Ltd. All rights reserved.
Determination of voltage stability critical loading values using simulated annealing
(2009) Tosun, Salih; Öztürk, Ali; Yalçın, Mehmet Ali
In this study, critical bus values in a power system are determined by using Simulated Annealing (SA) algorithm. As an example, a power system which contains the slack, generator and load buses is analyzed. Firstly, load value of the selected load bus is augmented step-by-step and load flow analysis is done for each case. This process is continued till there is no solution and in this way the critical bus values that are limit values of voltage stability are obtained. Secondly, by using SA algorithm, critical values are directly determined without augmenting the load of the selected load bus. The results show that the critical values can be easily determined using SA.
Dynamic Economic Dispatch with Valve-Point Effect Using Crow Search Algorithm
(2022) Öztürk, Ali; Andiç, Cenk; Tosun, Salih
This paper presents a method based on meta-heuristic to solve Dynamic Economic Dispatch (DED) problem in a power system. In this paper, Crow Search Algorithm (CSA), which is one of the heuristic methods is proposed to solve the DED problem in a power system. In this study, line losses, generation limit values of generators, generation-consumption balance, valve-point effect and ramp rate limits of generator are included as constraints. The proposed algorithm was implemented on two different test cases. Finally, the CSA results were compared with the results of well-known heuristics in the literature such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Symbiotic Organism Search (SOS) algorithm, Artificial Bee Colony (ABC) algorithm, Simulated Annealing (SA), Imperial Competitive Algorithm (ICA), Modified Ant Colony Optimization (MACO) algorithm. The results show that the proposed algorithm has a better operating cost. With the results of the algorithm proposed in the test system 1, a profit of $2,056,5931 per day and $751,751,4815 per year is obtained. It is seen that with the results of the algorithm proposed in the test system 2, a daily profit of $12,279,7328 and a yearly profit of $4,482,102,472 are obtained. Test systems are operated by using less fuel with the results of the proposed algorithm and thus the harmful gas emissions released by thermal production units to the environment are also reduced.
Economic dispatch by using different crossover operators of genetic algorithm
(Istanbul University, 2010) Duman, Serhat; Öztürk, Ali; Döşoğlu, M. Kenan; Tosun, Salih
The great advances in technology and industry have brought about an increase in the demand for energy in electrical power systems. In order to meet this increased demand, planning the operation of power systems and optimum operation of those systems are required. To obtain it, optimal power flow, reactive power optimization and solutions of the economic dispatch problem are required. The problem of Economical Dispatch (ED) is one of the limited non-linear optimization problems of electrical power systems. Operation of generators with minimum cost by being held in certain limit values is required. Intuitional methods resulting in better conclusions have been used in solving this complicated non-linear problem so far. In this study, the conclusions obtained on conditions with line loss and without line loss of 3 and 6 switchboards with thermal fuel were compared with each other by using different crossover operators of genetic algorithm (GA).
Electrical energy consumption forecasting using regression method considering temperature effect for distribution network
(Springer, 2022) Yıldırız, Gülsüm; Öztürk, Ali
Load profile coefficients (LPCs) represent the pattern of electricity usage daily and yearly for electrical energy consumers. It is important to determine the LPCs accurately and reliably, in order to minimize the imbalance costs in the Electricity Energy Market. Reliable methods and sufficient measurement data are required to make accurate forecasts. The local distribution company (TLDC) already calculates the profile coefficients by taking the average of the consumptions without meteorological measurements in Turkey. TLDC determines the LPC by receiving hourly consumption data directly from the consumers. In this paper, the mathematical forecasting models (MFMs) have been produced for determining LPC Duzce in Turkey using the multiple regression analysis method for the first time. Firstly, hourly electrical energy consumption and meteorological temperatures were measured in some predetermined residential subscribers. The MFMs have been produced by using the measured data, and then, LPCs have been determined by using the MFMs. The electrical energy consumptions have been estimated using the determined LPCs, and the estimation results have been compared with the measurement data. The MFMs have been subjected to suitability tests accepted in the literature, and the performances of the models have been verified. According to the results obtained, it has been seen that the MFMs can estimate loads with an accuracy of up to 96% depending on the future changing meteorological conditions, and it has been proposed as a quick and practical method for LPCs calculation. The paper shows that the produced MFMs provide obtaining satisfactory results for energy consumption forecasting for Duzce in Turkey.
Elektrik Enerji Dağıtım Sisteminde Ekonomik Aktif Güç Dağıtımının Genetik Algoritma İle Belirlenmesi
(2009) Öztürk, Ali; Tosun, Salih; Erdoğmuş, Pakize; Hasırcı, Uğur
Bu çalışmada, kayıpları olan iletim hattı şebekesini besleyen farklı yakıt türlerine sahip termik santrallerin optimum çalışma noktaları belirlenmiştir. Tüketicilerin talep ettikleri toplam aktif güç değerleri ve iletim hatlarında meydana gelen toplam aktif güç kayıplarının, santrallerce karşılanması ön şart olarak belirlenmiştir. Bu koşullar altında çalışan güç sisteminde, toplam yakıt maliyetinin minimum olmasını sağlayan santrallerin aktif güç değerleri hesaplanmıştır. Bu şekilde yapılan çalışmalara ekonomik aktif güç dağıtımı denilmektedir. Çalışmada, ilk olarak geleneksel optimizasyon yöntemi olarak kabul edilen Lagrange İterasyon (Lİ) yöntemi kullanılarak problemin çözümü sağlanmıştır. Aynı problem, alternatif bir yöntem olarak Genetik Algoritma (GA) ile de çözülmüştür. Her iki yöntem ile elde edilen değerler karşılaştırılmıştır. Ortaya çıkan sonuçlar ekonomik aktif güç dağıtımının, GA yöntemi ile daha güvenilir belirlenebileceğini göstermiştir.
Environmental/economic dispatch using genetic algorithm and simulated annealing
(2009) Erdoğmuş, Pakize; Öztürk, Ali; Duman, Serhat
In recent years, running of the generators at minimum cost and desired limit values has gradually increasing importance at Power systems using thermal-fueled generators. Various algorithms for solving economic dispatch problem have been found in the literature. In this study, Genetic Algorithm (GA) and Simulated Annealing (SA) solutions to Economic Cost Dispatch (ECD), Environmental Dispatch (ED), Environmental/Economic Dispatch (EED) have been found, by taking into account the environmental issue. A sample consisting of six thermal generators are presented. Transmission losses are included. Results taken with both methods have been compared to each other.
Experimental performance comparison of a 2-axis sun tracking system with fixed system under the climatic conditions of Duzce, Turkey
(Tubitak Scientific & Technical Research Council Turkey, 2016) Öztürk, Ali; Alkan, Selman; Hasırcı, Uğur; Tosun, Salih
In this study, an experimental performance comparison of a 2-axis tracking system with a fixed panel in a solar renewable energy system is conducted. The paper mainly focuses on a cost benefit analysis of fixed and tracking modules. For this aim, an experimental setup was built and periodical measurements were then obtained from the setup. To provide a better comparison, the panels were exposed to the same conditions during the measurements. By considering the real-time experimental results, the paper provides a quantitative analysis of the feasibility of tracking panels for domestic applications as well as an analysis of payback period if a tracking system is used for a home-building application instead of using a conventional fixed module. The study is restricted to the geographical region of Duzce, Turkey.
False Data Injection Attacks on CSA-Based State Estimation in Smart Grid
(Institute of Electrical and Electronics Engineers Inc., 2022) Andiç, Cenk; Öztürk, Ali; Türkay, Belgin
Measurement devices are placed on the network in order to monitor and operate smart grids. The state of the system is estimated using the network model of the system and the measurement data set obtained from the measuring devices. However, with a cyber-attack, attackers False Data Injection (FDI) attack into the measurement data set. Therefore, the state estimation results of the system are not reliable. In this study, the state of the system is estimated by using the Crow Search Algorithm (CSA), which is one of the heuristic methods. And this study presents the effect of the FDI attack on the CSA-based state estimator to determine the optimal estimate for the system state. The attacker's FDI attack is tested as two different scenarios on the IEEE-9 bus test system. Firstly, it is assumed that the attacker performed an unstructured FDI attack, which has a simple structure. Secondly, it is assumed that the attacker performed a well-structured FDI attack. The Chi-square test method is used to determine whether false data is injected into the measurement data set. The results obtained by CSA-based state estimator show that an unstructured FDI attack can be detected as bad data, while a well-structured FDI attack cannot be detected. However, in both cases, the accuracy of the state estimation results decreases and it affects the analysis, operation and planning of the system. © 2022 IEEE.
Faz Kaydırıcı Transformatörlerin Dinamik Gerilim Kararlılığına Etkileri
(2018) Tosun, Salih; Öztürk, Ali
Günümüzde elektrik enerjisine olan talebin sürekli artması ve gelişen teknoloji ile birlikte güç sisteminde yapısal değişiklikler olmaktadır. Ayrıca güç sistemleri üzerinde sürekli değişiklikler olmaktadır. Bu değişiklikler, ilave sistemler olduğu gibi ek cihazlar bakımından da olmaktadır. Bu durumda sistemin yapısı değiştiği için kararlılık değerleri de değişebilmektedir. Oysa güç sisteminin dengeli bir çalışma durumunda olması ve bozucu bir etki sonrası tekrar eski haline dönmesi istenir. Bunun sonucunda, gerilim kararlılığı ve gerilim çökmesi olayları güç sistemlerinin kararlı ve güvenilir olarak işletilmesi konusunu ortaya çıkarmıştır. Güç sisteminin kararlılık sınırlarının tespiti açısından bu analizler önemlidir. Bu çalışmada, Faz Kaydırıcı Transformatör (FKT), IEEE’nin 6 baralı güç sistemine ilave edilerek analizler yapılmıştır. İlk olarak sistemde yük akışı yapılarak FKT’ün etkileri incelenmiştir. Daha sonra sürekli yük akışı yapılarak sistemin kararlılık sınırları belirlenmiştir. Son olarak ise güç sistemlerinde istenmeyen bir durum olan kısa devre oluşturularak FKT’nin çeşitli faz açılarındaki etkileri araştırılmıştır. Analizler, Güç Sistemleri Analizi Programı (PSAT) ile gerçekleştirilmiştir. Yük akışı sonucunda, FKT’nin faz açısı değiştirilerek hatlar arası akan gücün değeri ve yönü kontrol altına alınabileceği bu sistemde üzerinde gösterilmiştir. Ayrıca FKT’ün kayıplar üzerinde de etkili olduğu görülmüştür. Sürekli yük akışında sonucunda sistemden yük baralarından çekilebilecek maksimum gücün ve baraların kritik gerilim değerlerinin de benzer şekilde değiştiği gözlemlenmiştir. Son olarak FKT’nin bağlandığı barada arıza oluşturulup bu arıza belli bir zaman sonra temizlenmiştir. Arıza sonrası bara gerilimleri yaklaşık olarak kendi değerlerine dönmelerine rağmen tüm bara gerilimlerinde dalgalanmalar gözlemlenmiştir.

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