Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231905
Halime Hizarci, B. Turkay
Distributed generation has become a popular research are with rapid increase on power demand. Optimal size and location of distributed generation are an important optimization problem to satisfy growing power demand. In this study, particle swarm optimization has been used for optimal placement and sizing of distributed generation to minimize power loss in distribution network considering different static load models such as constant power, constant current, constant impedance, residential, commercial, industrial and mixed load models. Results have shown that using this method, voltage profile of the distribution network has been improved and numbers of buses violating voltage limits have been reduced after distributed generation placement. Further power system operating point has been improved and loadability of network increased without violating bus voltage and line current limits. Analysis has been demonstrated on a 12.66 kV 33-bus radial distribution network. Mathematical models of the loads have been considered as voltage dependent exponential load model and practical values of the active and reactive power exponents for load models have been used to represent their influence on real power loss and voltage stability issues. Indices related with voltage stability and power loss presented in literature have been calculated to determine performance of the study. Besides less parameter requirement of particle swarm optimization method, it is easy to implement on large power systems and these characteristics make the method preferable.
{"title":"Impact of distributed generation on radial distribution network with various load models","authors":"Halime Hizarci, B. Turkay","doi":"10.1109/UPEC.2017.8231905","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231905","url":null,"abstract":"Distributed generation has become a popular research are with rapid increase on power demand. Optimal size and location of distributed generation are an important optimization problem to satisfy growing power demand. In this study, particle swarm optimization has been used for optimal placement and sizing of distributed generation to minimize power loss in distribution network considering different static load models such as constant power, constant current, constant impedance, residential, commercial, industrial and mixed load models. Results have shown that using this method, voltage profile of the distribution network has been improved and numbers of buses violating voltage limits have been reduced after distributed generation placement. Further power system operating point has been improved and loadability of network increased without violating bus voltage and line current limits. Analysis has been demonstrated on a 12.66 kV 33-bus radial distribution network. Mathematical models of the loads have been considered as voltage dependent exponential load model and practical values of the active and reactive power exponents for load models have been used to represent their influence on real power loss and voltage stability issues. Indices related with voltage stability and power loss presented in literature have been calculated to determine performance of the study. Besides less parameter requirement of particle swarm optimization method, it is easy to implement on large power systems and these characteristics make the method preferable.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127622554","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}
Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231937
E. O. Kontis, Ioannis S. Skondrianos, T. Papadopoulos, A. Chrysochos, G. Papagiannis
The increased availability of measurements in modern power systems, due to the advent of smart grids and the installation of phasor measurement units, has favored the development of dynamic load models using online recorded responses. However, load model parameters are significantly affected by loading conditions and change considerably due to the time-varying and weather-dependent composition of load. Therefore, load model parameters obtained from in-situ measurements are valid only for a narrow range of operating conditions. Scope of this paper is to propose a systematic identification procedure to develop generic dynamic load models, valid for a wide range of discrete operating conditions. For this purpose, two different generic modeling approaches are considered. The first approach is based on statistical analysis, while the second employs Artificial Neural Networks (ANNs). Several simulation scenarios are performed using the NEPLAN software to investigate the accuracy of the derived models over a wide range of different loading conditions, while their generalization capabilities are evaluated using the cross-validation technique.
{"title":"Generic dynamic load models using artificial neural networks","authors":"E. O. Kontis, Ioannis S. Skondrianos, T. Papadopoulos, A. Chrysochos, G. Papagiannis","doi":"10.1109/UPEC.2017.8231937","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231937","url":null,"abstract":"The increased availability of measurements in modern power systems, due to the advent of smart grids and the installation of phasor measurement units, has favored the development of dynamic load models using online recorded responses. However, load model parameters are significantly affected by loading conditions and change considerably due to the time-varying and weather-dependent composition of load. Therefore, load model parameters obtained from in-situ measurements are valid only for a narrow range of operating conditions. Scope of this paper is to propose a systematic identification procedure to develop generic dynamic load models, valid for a wide range of discrete operating conditions. For this purpose, two different generic modeling approaches are considered. The first approach is based on statistical analysis, while the second employs Artificial Neural Networks (ANNs). Several simulation scenarios are performed using the NEPLAN software to investigate the accuracy of the derived models over a wide range of different loading conditions, while their generalization capabilities are evaluated using the cross-validation technique.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127793721","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}
Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231945
A. Tsikalakis, Y. Katsigiannis, E. Karapidakis, K. Fiorentzis
The Cretan power system is the largest autonomous power system in Greece, and it consumes around 5% of the total Greek electricity demand. It contains a large number of conventional power stations that are combined with significant installed capacity of wind farms and photovoltaics. This paper is evaluating the effect of a large wind-hydro hybrid power station installation in this system. The analysis is implemented by using PowerWorld simulator, and it contains a large number of alternative scenarios, which combine different values of load demand and renewable energy production. The results show that with the inclusion of the hybrid station, significant economical benefits in Cretan power system operation can be achieved, without affect the safe operation of the system.
{"title":"Evaluating the effect of wind-hydro hybrid power stations on the operation of Cretan power system","authors":"A. Tsikalakis, Y. Katsigiannis, E. Karapidakis, K. Fiorentzis","doi":"10.1109/UPEC.2017.8231945","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231945","url":null,"abstract":"The Cretan power system is the largest autonomous power system in Greece, and it consumes around 5% of the total Greek electricity demand. It contains a large number of conventional power stations that are combined with significant installed capacity of wind farms and photovoltaics. This paper is evaluating the effect of a large wind-hydro hybrid power station installation in this system. The analysis is implemented by using PowerWorld simulator, and it contains a large number of alternative scenarios, which combine different values of load demand and renewable energy production. The results show that with the inclusion of the hybrid station, significant economical benefits in Cretan power system operation can be achieved, without affect the safe operation of the system.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129987096","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}
Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231912
M. Blechschmidt, C. Hahn, M. Luther
This paper presents an analytical model of Line Commutated Converter (LCC) based Multiterminal (MT) High-Voltage Direct Current (HVDC) systems. The approach is based on space phasor transformation and provides a modular HVDC model, since every converter of the MT system is carried out as an independent network. For each switching state of the converter — which is either two valve conduction or commutation — the space phasor transformation provides a subsystem in the complex plane; each of this consists of a voltage source, a grid impedance and a transformer impedance. The commutation current of each converter is derived from the imaginary part network of the respective subsystem. A generalization of the real part network leads to a generic subsystem for all switching states of the converter. A succeeding connection with a state space model of the DC network is performed; applying mesh analysis yields a differential equation system in order to derive the DC current. To verify the accuracy of the developed model, a comparison with an electromagnetic transient (EMT) model is carried out, which shows the consistence of the dynamic behavior.
{"title":"A comprehensive approach for analytical modeling of line commutated converter based multiterminal HVDC systems","authors":"M. Blechschmidt, C. Hahn, M. Luther","doi":"10.1109/UPEC.2017.8231912","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231912","url":null,"abstract":"This paper presents an analytical model of Line Commutated Converter (LCC) based Multiterminal (MT) High-Voltage Direct Current (HVDC) systems. The approach is based on space phasor transformation and provides a modular HVDC model, since every converter of the MT system is carried out as an independent network. For each switching state of the converter — which is either two valve conduction or commutation — the space phasor transformation provides a subsystem in the complex plane; each of this consists of a voltage source, a grid impedance and a transformer impedance. The commutation current of each converter is derived from the imaginary part network of the respective subsystem. A generalization of the real part network leads to a generic subsystem for all switching states of the converter. A succeeding connection with a state space model of the DC network is performed; applying mesh analysis yields a differential equation system in order to derive the DC current. To verify the accuracy of the developed model, a comparison with an electromagnetic transient (EMT) model is carried out, which shows the consistence of the dynamic behavior.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131107108","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}
Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231878
Fernando Arévalo, Tariq Mohammed, Andreas Schwung
Industrial companies worldwide want to keep a steady performance of their processes. In order to ensure this, a company usually implements a continuous condition monitoring for their machines. Ideally, the company analyzes the resulting data and obtains an insight on the failure causes of the machines. Unfortunately, the data itself cannot always discover the hidden causes for a fault in the machine, due either to the big amount of data or its complexity. This paper applies probabilistic prediction and data fusion techniques for fault detection on a bulk good system. The data acquisition from the bulk good system is implemented using the OPC Unified Architecture (OPC-UA) Machine-to-Machine Communication Protocol. OPC-UA collects data from the automation platform, and stores it in batches. Each batch contains all system features. Firstly, the system data is analyzed by means of a centralized approach. For that purpose, the probabilistic methods Naïve Bayes and Full Bayes are implemented. Furthermore, a decentralized approach is implemented using a two-step method. The first step gathers the health status of the main components by means of a local analysis. The second step fuses the results of each component, in order to obtain an overall status. The results show that the data fusion approach improves the performance of the fault detection algorithm.
{"title":"Fault detection using probabilistic prediction and data fusion on a bulk good system","authors":"Fernando Arévalo, Tariq Mohammed, Andreas Schwung","doi":"10.1109/UPEC.2017.8231878","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231878","url":null,"abstract":"Industrial companies worldwide want to keep a steady performance of their processes. In order to ensure this, a company usually implements a continuous condition monitoring for their machines. Ideally, the company analyzes the resulting data and obtains an insight on the failure causes of the machines. Unfortunately, the data itself cannot always discover the hidden causes for a fault in the machine, due either to the big amount of data or its complexity. This paper applies probabilistic prediction and data fusion techniques for fault detection on a bulk good system. The data acquisition from the bulk good system is implemented using the OPC Unified Architecture (OPC-UA) Machine-to-Machine Communication Protocol. OPC-UA collects data from the automation platform, and stores it in batches. Each batch contains all system features. Firstly, the system data is analyzed by means of a centralized approach. For that purpose, the probabilistic methods Naïve Bayes and Full Bayes are implemented. Furthermore, a decentralized approach is implemented using a two-step method. The first step gathers the health status of the main components by means of a local analysis. The second step fuses the results of each component, in order to obtain an overall status. The results show that the data fusion approach improves the performance of the fault detection algorithm.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133492774","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}
Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8232017
T. Nowak, M. Suriyah, T. Leibfried
This paper introduces and compares a decentralized and centralized model predictive control scheme for power tracking in a multi-terminal HVDC system based on MMCs. The MPC scheme requires a prediction, which is implemented by treating the HVDC system as a black box. With this approach it is possible to use an MPC scheme without detailed knowledge about the controlled system, which eases the design of the controller and allows using this method on more complex systems. While a centralized MPC achieves a better performance, a decentralized MPC is more practical, since it does not require communication between the terminals. This paper investigates the performance loss of decentralized MPCs compared to a centralized MPC and introduces a new method to increase the performance of decentralized MPCs by iteratively minimizing undesired control interactions. The proposed method is not limited to HVDC systems.
{"title":"Power tracking in a MMC-multi-terminal HVDC system with centralized and decentralized MPC using a black box modeling approach","authors":"T. Nowak, M. Suriyah, T. Leibfried","doi":"10.1109/UPEC.2017.8232017","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8232017","url":null,"abstract":"This paper introduces and compares a decentralized and centralized model predictive control scheme for power tracking in a multi-terminal HVDC system based on MMCs. The MPC scheme requires a prediction, which is implemented by treating the HVDC system as a black box. With this approach it is possible to use an MPC scheme without detailed knowledge about the controlled system, which eases the design of the controller and allows using this method on more complex systems. While a centralized MPC achieves a better performance, a decentralized MPC is more practical, since it does not require communication between the terminals. This paper investigates the performance loss of decentralized MPCs compared to a centralized MPC and introduces a new method to increase the performance of decentralized MPCs by iteratively minimizing undesired control interactions. The proposed method is not limited to HVDC systems.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133278851","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}
Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231901
C. Heinrich, C. Ziras, S. You, H. Bindner
This paper investigates potential conflicts of interest between distribution system operators (DSOs) and aggregators. We propose a method to quantify the allowed operating range of residential flexible loads in a local distribution network. The calculated bounds can be used to formulate DSO services, tradable on a potential DSO service market platform. Aggregators are considered, concentrating thermostatically controlled loads and electric vehicles with vehicle2grid technology in order to perform arbitrage on the power market and to offer ancillary services.
{"title":"Addressing the conflict of interest between aggregators and DSOs in deregulated energy markets","authors":"C. Heinrich, C. Ziras, S. You, H. Bindner","doi":"10.1109/UPEC.2017.8231901","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231901","url":null,"abstract":"This paper investigates potential conflicts of interest between distribution system operators (DSOs) and aggregators. We propose a method to quantify the allowed operating range of residential flexible loads in a local distribution network. The calculated bounds can be used to formulate DSO services, tradable on a potential DSO service market platform. Aggregators are considered, concentrating thermostatically controlled loads and electric vehicles with vehicle2grid technology in order to perform arbitrage on the power market and to offer ancillary services.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133251944","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}
Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231914
Alexander Cooke, D. Strickland, K. Forkasiewicz
In the last 7 years, the UK has seen an unexpectedly large increase in embedded power electronic connected generation connecting to both the transmission and distribution network. This is problematic to system inertia, since there is no inherent rotational mass within Power electronic connected generation to provide kinetic energy to the grid as required. National Grid must secure the system to protect the frequency against a single in-feed loss. However, as the system becomes less synchronous, it becomes less secure. As a solution to this, energy storage systems are being investigated as a possible option to assist with frequency regulation. National Grid are looking to trial a new Enhanced Frequency Response (EFR) service starting before or during 2018. This paper considers different Energy Storage strategies for assisting with frequency response and compares these to the EFR and the more traditional Fast Frequency response service.
{"title":"Energy storage for enhanced frequency response services","authors":"Alexander Cooke, D. Strickland, K. Forkasiewicz","doi":"10.1109/UPEC.2017.8231914","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231914","url":null,"abstract":"In the last 7 years, the UK has seen an unexpectedly large increase in embedded power electronic connected generation connecting to both the transmission and distribution network. This is problematic to system inertia, since there is no inherent rotational mass within Power electronic connected generation to provide kinetic energy to the grid as required. National Grid must secure the system to protect the frequency against a single in-feed loss. However, as the system becomes less synchronous, it becomes less secure. As a solution to this, energy storage systems are being investigated as a possible option to assist with frequency regulation. National Grid are looking to trial a new Enhanced Frequency Response (EFR) service starting before or during 2018. This paper considers different Energy Storage strategies for assisting with frequency response and compares these to the EFR and the more traditional Fast Frequency response service.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133827834","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}
Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231936
Seyhan Tural, O. Ceylan, S. Paudyal
This paper develops coordinated voltage control with high penetration of wind in power distribution systems. In the proposed method, daily schedule of optimal voltage profiles are determined by using optimization technique based on predicted values of load demand and by controlling tap positions of regulators, switched capacitors, and reactive power outputs of the inverters. In this paper, three optimal voltage control models are developed: the first model uses capacitors as control devices; the second model uses capacitors and tap changers of voltage regulators; and the third model includes the inverters of the wind turbines as well. We use a recently developed heuristic, Sine-cosine algorithm, to solve the optimal voltage control problems. The case studies carried out on a modified 33-node feeder shows the effectiveness of the proposed optimization models in controlling the voltages in distribution feeders.
{"title":"Optimal voltage control in distribution feeders with large penetration of wind","authors":"Seyhan Tural, O. Ceylan, S. Paudyal","doi":"10.1109/UPEC.2017.8231936","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231936","url":null,"abstract":"This paper develops coordinated voltage control with high penetration of wind in power distribution systems. In the proposed method, daily schedule of optimal voltage profiles are determined by using optimization technique based on predicted values of load demand and by controlling tap positions of regulators, switched capacitors, and reactive power outputs of the inverters. In this paper, three optimal voltage control models are developed: the first model uses capacitors as control devices; the second model uses capacitors and tap changers of voltage regulators; and the third model includes the inverters of the wind turbines as well. We use a recently developed heuristic, Sine-cosine algorithm, to solve the optimal voltage control problems. The case studies carried out on a modified 33-node feeder shows the effectiveness of the proposed optimization models in controlling the voltages in distribution feeders.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124121901","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}
Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231889
E. Loukakis, E. Karapidakis
The exploitation of distributed energy resources and problems associated with islanded energy grids are important in optimizing sustainability of electricity supply, where microgrids play a major role in the decentralized and dispersed production. As defined, a microgrid is a group of interconnected loads and distributed energy resources within clearly defined electrical boundaries that acts as a single controllable entity with respect to the grid. Can connect and disconnect from the grid to enable it to operate in both grid-connected or island mode (remoted). The main focus of this study is the evaluation of a remoted microgrid of Vorias village, located in the inland of Crete island. Considering the household, agricultural and industrial loads of the village, were chosen RESs, such as wind turbines, photovoltaic panels and occasionally, small storage units in case of excess production. Energy Storage and small biomass generators are proposed. The co-production of RESs aims the 100% energy independence, considering economic and environmental impact boundaries. To maintain the highest degree of reliability and security of the operating system, the designed potential project is also represented through Geographical Information Systems (GIS) in map forms (wind and solar energy potential maps). The region of Vorias village presents intense relief that justifies the installation of both wind and solar parks, regardless of the possibility of individual RESs installation in the settlements of the region.
{"title":"Feasibility study of microgrid village with renewable energy sources","authors":"E. Loukakis, E. Karapidakis","doi":"10.1109/UPEC.2017.8231889","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231889","url":null,"abstract":"The exploitation of distributed energy resources and problems associated with islanded energy grids are important in optimizing sustainability of electricity supply, where microgrids play a major role in the decentralized and dispersed production. As defined, a microgrid is a group of interconnected loads and distributed energy resources within clearly defined electrical boundaries that acts as a single controllable entity with respect to the grid. Can connect and disconnect from the grid to enable it to operate in both grid-connected or island mode (remoted). The main focus of this study is the evaluation of a remoted microgrid of Vorias village, located in the inland of Crete island. Considering the household, agricultural and industrial loads of the village, were chosen RESs, such as wind turbines, photovoltaic panels and occasionally, small storage units in case of excess production. Energy Storage and small biomass generators are proposed. The co-production of RESs aims the 100% energy independence, considering economic and environmental impact boundaries. To maintain the highest degree of reliability and security of the operating system, the designed potential project is also represented through Geographical Information Systems (GIS) in map forms (wind and solar energy potential maps). The region of Vorias village presents intense relief that justifies the installation of both wind and solar parks, regardless of the possibility of individual RESs installation in the settlements of the region.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128650359","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}
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