{"title":"Protection Algorithm for Fault Identification and Isolation in DC Microgrid","authors":"N. N. Reddy, Rajesh Velpula, P. Raja, S. Moorthi","doi":"10.13052/dgaej2156-3306.38214","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.38214","url":null,"abstract":"In renewable energy dominated distributed ring configuration direct current (DC) networks, the protection philosophy is one of the critical challenging task. It is due to the existence of power electronic converters and erratic attributes of distributed energy sources. Consequently, conventional current direction based as well as over current protection strategies is not applicable for DC microgrids. In this paper, protection algorithm for fault recognition and isolation of faulty line is presented based on the polarity of change in inductance immediately after fault inception. The voltage and current sample information is used to determine the parameter by employing the least square estimation (LSE) technique. The efficiency of the proposed method is tested for internal and external faults, the impact of fault resistance and fault location, different system configurations, and load change conditions in MATLAB/Simulink simulation. It is noted that proposed method would categorize internal and external faults perfectly. The operating time of the proposed protection method is comparatively less than the existing methods. It also improves selectivity, security, and reliability under above mentioned abnormal cases.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91178001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Sridevi, Shefali Jagwani, S. Kulkarni, H. Ravikumar
{"title":"Frequency Control in an Autonomous Microgrid Using GA Based Optimization Technique","authors":"H. Sridevi, Shefali Jagwani, S. Kulkarni, H. Ravikumar","doi":"10.13052/dgaej2156-3306.38210","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.38210","url":null,"abstract":"In recent times the rapid development of distributed energy sources has transformed the conventional electrical grid to a decentralised system. This has led to the advancement in research of microgrid. In the conventional grid, the voltage and frequency regulation depends on the speed control of alternators connected to the grid. But for an autonomous microgrid, the voltage and frequency has to be regulated independent of the main grid. Deviation in the frequency occurs whenever there is change in the load and due to inherent variability of distributed energy sources. This deviation can be regulated by optimising the droop coefficients using Genetic algorithm (GA). Simulations have been carried out in MATLAB/SIMULINK for different types of loads (linear and non-linear) and results are shown for frequency deviation, and active power sharing of the DGs. The responses for frequency deviations with and without GA optimizations are presented.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91017018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Sivakumar, R. Jayashree, Karthikeyan Danasagaran
{"title":"New Reliability Indices for Microgrids and Provisional Microgrids in Smart Distribution Systems","authors":"K. Sivakumar, R. Jayashree, Karthikeyan Danasagaran","doi":"10.13052/dgaej2156-3306.3824","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3824","url":null,"abstract":"The construction of provisional microgrids paired with microgrids was recently introduced taking into consideration, the less critical zones of the distribution system. Similar to the microgrids, the provisional microgrids have distributed generators and a master controller. But these provisional microgrids cannot switch to islanded mode as a single entity as in the case of microgrids. Instead, they move to islanded mode along with the coupled microgrid, thus meeting the economic and reliability requirements of the less sensitive zones of the distribution system. This work first proposes few new device-based reliability indices for the sustained faults that cater to the new requirements arising due to the presence of distributed generators all over the system, embedded in clusters of microgrids and provisional microgrids. Secondly, considering the occurrences of temporary faults in similar systems, another new load-based reliability index is proposed. Later, for the chosen example distribution system with 69-buses, the existing reliability indices, and the proposed new indices are calculated. At last, the influence of these indices on generation expansion planning problems like placement and sizing of the distributed generators, construction of clusters of microgrids and provisional microgrids, and economic decisions on scheduling of maintenance is discussed in detail.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"96 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85311310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mitigation of Uncertainty in an Islanded Microgrid Using Robust Voltage Controller","authors":"Ishika Singh, Sheetla Prasad, V. C. Pal","doi":"10.13052/dgaej2156-3306.38211","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.38211","url":null,"abstract":"In microgrid, a severe problem occurs in terms of voltage oscillations due to mismatch between synchronizing and damping torque. In this study, a centralized nonlinear sliding mode voltage controller proposes to minimize the rotor and DC voltage oscillations issue in an islanded microgrid. The linear matrix inequality (LMI) technique has been applied for bounding the state error. Lyapunov criteria is utilized for assurance of asymptotic convergence and LMI optimization approach is used for obtaining the controller parameters. The proposed controller is able to tackle the parametric uncertainties of diesel generator, oscillations of rotor and voltage fluctuation as well as the closed-loop system responses also improves both transient responses and steady state responses simultaneously. The simulation results authenticate that the proposed controller confirms speedy recovery of nominal frequency without any oscillations and reduced the limitation of chattering notably without any loss in control accuracy. The performance and robustness of the proposed controller is also compared with conventional controllers.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73192393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Positive Sequence Superimposed Based Islanding Detection Method Used in Distributed Generation","authors":"Javeed Bashir, P. Jena","doi":"10.13052/dgaej2156-3306.3821","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3821","url":null,"abstract":"This paper presents a passive method based localized islanding detection method for distributed generation (DG) connected to a main grid. The approach in this paper is based on the calculation of the magnitude of positive sequence based superimposed components of current and voltage, and the angle between them at the DG end. These three physical quantities altogether are used to identify the islanding. The prevailing active detection techniques introduce deliberately disturbances into the system which might lead to problems related to power quality, stability, and reliability of the power system. On the contrary, passive methods based islanding detection techniques has the issue of large non-detection zone (NDZ). The proposed technique overcomes the NDZ problem and does not introduce any disturbances. PSCAD/EMTDC is used to simulate the two systems. Various tests are carried out on these systems to access the execution of the proposed method and it was found that the suggested method has least NDZ and can detect the islanding within 10 ms well below the time required by a recloser which is 150 ms.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"90 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91081119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flywheel Energy Storage Supported Adaptive Energy Management Strategy for Solar-powered Electric Vehicle Charging Station","authors":"S. Jithin, T. Rajeev","doi":"10.13052/dgaej2156-3306.38213","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.38213","url":null,"abstract":"The large-scale integration of solar photovoltaic systems and electric vehicles into power systems result in technical challenges due to the volatile nature of the generation and electric vehicle load. The paper presents an energy-storage supported adaptive DC-link voltage regulation based energy management strategy for improving hybrid AC/DC microgrid stability. The proposed volatility based control approach improves hybrid microgrid stability under volatile electric vehicle loading and renewable energy fluctuations. The adaptive energy management strategy limits the overstress on flywheel energy storage depending on the flywheel SoC profile. Different load profiles and source intermittency are considered to analyze the effectiveness of the proposed strategy. The combined control strategy of the interlinking converter and flywheel energy storage in power exchange mode operation and independent mode operation achieve energy balance with the change in solar irradiation and the addition/disconnection of electric vehicles. In addition, real-time experiments are performed to validate the proposed energy management strategy under various volatile conditions. The hybrid AC/DC microgrid with proposed energy management strategy provided a frequency improvement of 0.44% and voltage improvement of 7.5%.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89942756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ankur Singh Rana, K. Jnaneswar, Mouna Krishna Gadhiraju, N. Kumar, S. A. Wani, M. Thomas
{"title":"Design and Implementation of Low-Cost PMU for Off-Nominal Frequency and DDC in Compliance with IEEE C37.118 Standard","authors":"Ankur Singh Rana, K. Jnaneswar, Mouna Krishna Gadhiraju, N. Kumar, S. A. Wani, M. Thomas","doi":"10.13052/dgaej2156-3306.3827","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3827","url":null,"abstract":"The transition of the conventional power grid into the smart grid requires continuous monitoring of integrated grids speared over wide-area through Phasor Measurement Units (PMU). These PMUs additionally perform protection and state estimation functions in the smart grid. This paper discusses implementation of a new phasor estimation method to eliminate the effects of Decaying DC (DDC) component and off-nominal frequencies during the extraction of the phasors from a relaying signal. The practical implementation of the proposed method in a low-cost microcontroller (ESP32-WROOM-32 development board) in compliance with the requirements of IEEE C37.118.1a-2011 standard is also demonstrated. The analysis of various existing algorithms estimating the phasors is carried out. The microcontroller is programmed with the best among the analysed algorithm and its feasibility to function as a proper Phasor Measurement Unit is tested. The newly designed PMU is rigorously tested with different estimation methods compliant with IEEE C37.118a-2011 standard. The comparison of the proposed method with different phasor estimation algorithms is also discussed.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87151421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transmission Congestion Management in Deregulated Power System Using Adaptive Restarting Genetic Algorithm","authors":"Madhu Mohan Gajjala, Aijaz Ahmad","doi":"10.13052/dgaej2156-3306.38111","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.38111","url":null,"abstract":"Power systems in a deregulated environment have more intense and recurrent transmission line congestion than conventionally regulated power systems. With the help of generation rescheduling, this article shows how to effectively manage congestion in the day-ahead energy market by taking corrective measures to reduce congestion. The research employs an adaptive restarting genetic algorithm (ARGA) to provide an effective congestion management strategy in a deregulated power market (DPM). The study makes two significant contributions. First, the generator sensitivity factors (GSF) are calculated to choose re-dispatched generators. Second, the least congestion cost is calculated using the adaptive restarting genetic algorithm. Several different line outage contingency cases on IEEE 30 bus systems are used to examine the suggested algorithm’s implementation efficacy. The simulation results demonstrate a significant reduction in net congestion costs, resulting in a more reliable and secure power system operation. The proposed algorithm was tested in a python environment, and power flow analysis was done using the PANDAPOWER tool. The acquired results are contrasted using several contemporary optimization approaches to validate the suggested technique’s validity. The ARGA technique gives a lower congestion cost solution than the particle swarm optimization (PSO), real coded genetic algorithm (RCGA), and differential evolution (DE) algorithm.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"112 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75749890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance Evaluation of Solar-assisted Trigeneration System in Thermo-environmental Perspective","authors":"M. Sharma, O. Singh, A. Shukla","doi":"10.13052/dgaej2156-3306.3813","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3813","url":null,"abstract":"Nowadays, the trigeneration systems are proving more promising than a combined cycle system. In terms of efficiency and reliability, these systems meet the typical requirements of cooling heating power in various applications. This work investigated the thermodynamic and environmental characteristics of a solar-based tri-generation system. The studied system consists of gas turbine and steam turbine modules along with heating and cooling provisions as per demand. The integrated system using parabolic trough collectors and also uses steam injected gas turbines for performance improvement. The overall performance of the proposed work is compared with and without a steam injection. The effect of integration of the solar cycle and steam injection for the trigeneration system is assessed. Further, carbon footprint rejected to the environment is also estimated. It is observed that the work output and trigeneration efficiency improved, and the carbon footprint gets reduced in the range varying between 10–40% for the cases studied.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80899343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance Investigation of Grid Connected DFIG Based Wind Energy System","authors":"Bisma Hamid, Sheikh Javed Iqbal","doi":"10.13052/dgaej2156-3306.38112","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.38112","url":null,"abstract":"The paper realizes the investigation of control operation and performance in grid integrated Doubly Fed Induction Generator (DFIG) system. Battery Energy Storage (BES), coupled at the DC link of DFIG is controlled by bidirectional power converter to compensate for utility/load demand. Rotor side converter (RSC) uses tip-speed ratio maximum power point tracking (MPPT) algorithm to harness maximum power from the wind turbine. An adjustable step size least mean square (LMS) based adaptive control is implemented for the grid side converter (GSC) of DFIG system that besides managing power balance at the Point of Common Coupling (PCC) also addresses power quality issues encountered in the system due to the presence of non-linear, unbalanced loads. The step size changes with the mean square error enabling the adaptive filter to detect system changes while producing a small steady state error. Performance of the system is exhibited and validated through simulated results in a developed Simulink model for steady state and dynamic conditions. The Total Harmonic Distortion (THD) in grid currents and voltage is within IEEE 519 standard guidelines.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73678342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}