Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917805
Nicolae Darii, R. Turri, K. Sunderland
This paper addresses the challenge of the charging control of Electric Busses (EBs) and implications on network demand. Present literature has already confirmed the possibility to do this type of service and its benefits, but the solutions proposed require a complex communication infrastructure. Moreover, the Distribution Network (DN) must be ready to an increased prevalence for reverse power flow manifest by mainstreaming of EVs. In this context, the paper proposes a transitional solution to host the EBs until the required communication infrastructure is mature enough. The Smart Charging (SC) method proposed here relies instead on the Day-Ahead Energy Market to forecast the network working conditions. The method also facilitates distributed photovoltaic (PV) production so that network demand reference is based on net demand. The algorithm focuses on load-levelling or peak-shaving as the primary objective, in the optimisation of individual charger current per vehicle and per time step to realise an overall charging strategy for the charging station. The strategy seeks to control fleet charging by managing how individual vehicle charging is interchangeable based on an 80% vehicle state-of-charge objective. The algorithm achieves a scheduling capability for the EBs that transit through the Charging Station (CS) through optimum load-levelling/peak-shaving based on the size of the fleet.
{"title":"Electric Bus Demand Management through Unidirectional Smart Charging","authors":"Nicolae Darii, R. Turri, K. Sunderland","doi":"10.1109/UPEC55022.2022.9917805","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917805","url":null,"abstract":"This paper addresses the challenge of the charging control of Electric Busses (EBs) and implications on network demand. Present literature has already confirmed the possibility to do this type of service and its benefits, but the solutions proposed require a complex communication infrastructure. Moreover, the Distribution Network (DN) must be ready to an increased prevalence for reverse power flow manifest by mainstreaming of EVs. In this context, the paper proposes a transitional solution to host the EBs until the required communication infrastructure is mature enough. The Smart Charging (SC) method proposed here relies instead on the Day-Ahead Energy Market to forecast the network working conditions. The method also facilitates distributed photovoltaic (PV) production so that network demand reference is based on net demand. The algorithm focuses on load-levelling or peak-shaving as the primary objective, in the optimisation of individual charger current per vehicle and per time step to realise an overall charging strategy for the charging station. The strategy seeks to control fleet charging by managing how individual vehicle charging is interchangeable based on an 80% vehicle state-of-charge objective. The algorithm achieves a scheduling capability for the EBs that transit through the Charging Station (CS) through optimum load-levelling/peak-shaving based on the size of the fleet.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126620865","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917895
David Foster, X. Liu, M. Rafferty, D. Laverty
Increasing levels of non-synchronous generation prompted by global emissions targets has resulted in power systems with low inertia. This has led to changing system dynamics and evolving trends in system events which are difficult to classify through traditional means. Many countries have invested in Phasor Measurement Units (PMUs) to monitor these systems over large geographical areas which form Wide Area Monitoring Systems. Due to the increased use and improved technology of PMUs this has generated vast quantities of data for system operators to process. Automatic methods for event diagnosis are required due to the complexity of system events, including variable event lengths. This paper demonstrates an approach for the widearea classification of a number of power system events. Event sequencing is used to solve the variability of event lengths. Sequential feature selection is adopted on wide-area synchronized frequency, phase angle and voltage measurements to extract the optimal features. Successful event classification is obtained by employing a Naïve Bayes classifier on the features. The reliability of this method is evaluated using simulated case studies and benchmarked against various sequence lengths.
{"title":"Variable-Length Event Classification using PMU Data with Naïve Bayes","authors":"David Foster, X. Liu, M. Rafferty, D. Laverty","doi":"10.1109/UPEC55022.2022.9917895","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917895","url":null,"abstract":"Increasing levels of non-synchronous generation prompted by global emissions targets has resulted in power systems with low inertia. This has led to changing system dynamics and evolving trends in system events which are difficult to classify through traditional means. Many countries have invested in Phasor Measurement Units (PMUs) to monitor these systems over large geographical areas which form Wide Area Monitoring Systems. Due to the increased use and improved technology of PMUs this has generated vast quantities of data for system operators to process. Automatic methods for event diagnosis are required due to the complexity of system events, including variable event lengths. This paper demonstrates an approach for the widearea classification of a number of power system events. Event sequencing is used to solve the variability of event lengths. Sequential feature selection is adopted on wide-area synchronized frequency, phase angle and voltage measurements to extract the optimal features. Successful event classification is obtained by employing a Naïve Bayes classifier on the features. The reliability of this method is evaluated using simulated case studies and benchmarked against various sequence lengths.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"192 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116782720","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917773
Ilker Dursun, H. Akinc, S. Guner, A. Ozdemir
Substations are the most critical components of power grids. A failure in a substation may cause power outages for thousands of households and workplaces. That’s why it is crucial to operating substations under proper conditions. Temperature and humidity directly affect the electrical equipment’s lifecycle, performance, and efficiency. They lead to many failures and power outages. This paper presents the humidity-temperature relation inside and outside environments of substations. It also covers the causes and impacts of humidity inside the substations, environmental factors, and mitigating methods of these factors. Besides, some experimental studies are handled such as indoor-outdoor temperature and humidity measurements, basic construction improvements to prevent water ingress and excessive ventilation, and installation of a dehumidifier device. The importance of continuous measurement and controlling of the substation’s indoor environments are proved. Besides, it is presented that the humidity problem can be overcome by avoiding sudden temperature & humidity fluctuations and controlling the indoor climate conditions continuously.
{"title":"The Impacts of The Temperature-Humidity Fluctuations in Substations and Practical Experimental Applications","authors":"Ilker Dursun, H. Akinc, S. Guner, A. Ozdemir","doi":"10.1109/UPEC55022.2022.9917773","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917773","url":null,"abstract":"Substations are the most critical components of power grids. A failure in a substation may cause power outages for thousands of households and workplaces. That’s why it is crucial to operating substations under proper conditions. Temperature and humidity directly affect the electrical equipment’s lifecycle, performance, and efficiency. They lead to many failures and power outages. This paper presents the humidity-temperature relation inside and outside environments of substations. It also covers the causes and impacts of humidity inside the substations, environmental factors, and mitigating methods of these factors. Besides, some experimental studies are handled such as indoor-outdoor temperature and humidity measurements, basic construction improvements to prevent water ingress and excessive ventilation, and installation of a dehumidifier device. The importance of continuous measurement and controlling of the substation’s indoor environments are proved. Besides, it is presented that the humidity problem can be overcome by avoiding sudden temperature & humidity fluctuations and controlling the indoor climate conditions continuously.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114701860","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917609
Lorenzo Solida, G. Chicco, E. Bompard, Tao Huang, A. Mazza, M. Rapizza
This paper addresses the preparation of synthetic models for electrical transmission systems, using open (publicly available) data. Starting from information gathered from maps with multiple data such as OpenStreetMap, the nodes and lines are extracted and are used to establish the network topology. An example constructed in an Italian region is shown.
{"title":"Topological Aspects of Building Synthetic Models for Power Transmission Networks from Public Data","authors":"Lorenzo Solida, G. Chicco, E. Bompard, Tao Huang, A. Mazza, M. Rapizza","doi":"10.1109/UPEC55022.2022.9917609","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917609","url":null,"abstract":"This paper addresses the preparation of synthetic models for electrical transmission systems, using open (publicly available) data. Starting from information gathered from maps with multiple data such as OpenStreetMap, the nodes and lines are extracted and are used to establish the network topology. An example constructed in an Italian region is shown.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114981490","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917704
Akhtar Hussain Javed, P. Nguyen, J. Morren, J.G. Han Slootweg, Sharmistha Battacharyya
Due to changes in power networks and increased use of power electronics-based devices as consumer loads, utilities are now facing a problem of capacitive (reverse) reactive power flow in electricity networks. In this paper, the field measurement data from Dutch distribution system operator (DSO) and transmission system operator (TSO) is presented which clearly shows the flow of capactive reactive power occurring in electricity networks. Moreover, the historical data illustrates that there is decline of imported reactive power from transmission system to distribution system over the years. Furthermore, in this paper a case study for a modified CIGRE low voltage (LV) distribution network in DIgSILENT PowerFactory is done where first the capactive reactive power situation is simulated using loads with capacitive power factor and then a solution based on smart inverter function is proposed to minimize the capacitive reactive power exchange between LV and medium voltage (MV) network. In this way, by controlling smart inverters available in distribution network we can manage the amount of reactive power flow in the LV network and at the transmission distribution system boundaries.
{"title":"Issues of Capacitive Reactive Power Flow in Electricity Networks","authors":"Akhtar Hussain Javed, P. Nguyen, J. Morren, J.G. Han Slootweg, Sharmistha Battacharyya","doi":"10.1109/UPEC55022.2022.9917704","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917704","url":null,"abstract":"Due to changes in power networks and increased use of power electronics-based devices as consumer loads, utilities are now facing a problem of capacitive (reverse) reactive power flow in electricity networks. In this paper, the field measurement data from Dutch distribution system operator (DSO) and transmission system operator (TSO) is presented which clearly shows the flow of capactive reactive power occurring in electricity networks. Moreover, the historical data illustrates that there is decline of imported reactive power from transmission system to distribution system over the years. Furthermore, in this paper a case study for a modified CIGRE low voltage (LV) distribution network in DIgSILENT PowerFactory is done where first the capactive reactive power situation is simulated using loads with capacitive power factor and then a solution based on smart inverter function is proposed to minimize the capacitive reactive power exchange between LV and medium voltage (MV) network. In this way, by controlling smart inverters available in distribution network we can manage the amount of reactive power flow in the LV network and at the transmission distribution system boundaries.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130914489","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917813
Mubashar Amjad, G. Taylor, Chun Sing Lai, Zhengwen Huang, Maozhen Li
Exchanging information and data using cloud computing in power systems is now becoming common practice. However, there are still many challenges such as data security, interoperability, and scalability that need to be considered. In this paper, the authors have exploited blockchain technology by integrating it with Hadoop to enhance interoperability concerning power system operators at both transmission and distribution levels. A blockchain based approach is developed to exchange information and data within power systems. This approach enables users to exchange information and data without losing ownership or control of the data. The proposed approach provides the solutions to three important issues: scalability, data ownership, and interoperability. The case studies as presented in this paper evaluate the effectiveness of the proposed novel approach for enhancing information and data exchange. The paper specifically evaluates enhanced performance with regard to scalability, latency, and computational time.
{"title":"A Novel Blockchain Based Approach to Exchanging Information and Data in Power Systems","authors":"Mubashar Amjad, G. Taylor, Chun Sing Lai, Zhengwen Huang, Maozhen Li","doi":"10.1109/UPEC55022.2022.9917813","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917813","url":null,"abstract":"Exchanging information and data using cloud computing in power systems is now becoming common practice. However, there are still many challenges such as data security, interoperability, and scalability that need to be considered. In this paper, the authors have exploited blockchain technology by integrating it with Hadoop to enhance interoperability concerning power system operators at both transmission and distribution levels. A blockchain based approach is developed to exchange information and data within power systems. This approach enables users to exchange information and data without losing ownership or control of the data. The proposed approach provides the solutions to three important issues: scalability, data ownership, and interoperability. The case studies as presented in this paper evaluate the effectiveness of the proposed novel approach for enhancing information and data exchange. The paper specifically evaluates enhanced performance with regard to scalability, latency, and computational time.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128872831","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917658
S. Cellura, A. Mazza, E. Bompard, S. Corgnati
Flywheel Energy Storage (FES) Systems could be exploited to support energy transition maintaining, at the same time, secure conditions in electricity grids. Among the current remunerated services, they can be deployed for Frequency Containment Reserve (FCR) and automatic Frequency Restoration Reserve (aFRR). However, several aspects have to be addressed, such as environmental impacts of these systems, and the costs. Additionally, since the exploitation of scarce raw materials for the assembling, also risk on supply disruption for these materials has to be taking into account. Main indicators exploited to evaluate Flywheels are the Global Warming Potential, the Cumulative Energy Demand, the Levelized Cost of Storage (LCOS) and the Supply Risk Indicator for Raw Materials. Most impacting components for Cumulative Energy Demand and Global Warming Potential are represented by the steel-based Vacuum Chamber and the Power Conversion System. Investment costs and charging costs are instead major contributors in LCOS, whereas replacement costs have a small contribution on it. The Supply Risk, assessed first for raw materials and then aggregated for the entire FES, is influenced mostly by Natural Graphite and Aluminium. Results on risk are almost not affected by considering the elements contained within the FES instead of raw materials. Finally, the comparison between greenhouse gases emitted during the manufacturing stage of alternative Storage Technologies shows that FES is the highest emitter, due to a low Energy on Power ratio.
{"title":"Sustainability Assessment of Flywheel Energy Storage for Grid Applications","authors":"S. Cellura, A. Mazza, E. Bompard, S. Corgnati","doi":"10.1109/UPEC55022.2022.9917658","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917658","url":null,"abstract":"Flywheel Energy Storage (FES) Systems could be exploited to support energy transition maintaining, at the same time, secure conditions in electricity grids. Among the current remunerated services, they can be deployed for Frequency Containment Reserve (FCR) and automatic Frequency Restoration Reserve (aFRR). However, several aspects have to be addressed, such as environmental impacts of these systems, and the costs. Additionally, since the exploitation of scarce raw materials for the assembling, also risk on supply disruption for these materials has to be taking into account. Main indicators exploited to evaluate Flywheels are the Global Warming Potential, the Cumulative Energy Demand, the Levelized Cost of Storage (LCOS) and the Supply Risk Indicator for Raw Materials. Most impacting components for Cumulative Energy Demand and Global Warming Potential are represented by the steel-based Vacuum Chamber and the Power Conversion System. Investment costs and charging costs are instead major contributors in LCOS, whereas replacement costs have a small contribution on it. The Supply Risk, assessed first for raw materials and then aggregated for the entire FES, is influenced mostly by Natural Graphite and Aluminium. Results on risk are almost not affected by considering the elements contained within the FES instead of raw materials. Finally, the comparison between greenhouse gases emitted during the manufacturing stage of alternative Storage Technologies shows that FES is the highest emitter, due to a low Energy on Power ratio.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117078607","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917819
Stephen Sheridan, K. Sunderland, Jane Courtney
Swarm Electrification (SE) is gaining considerable attention as an exciting tool to provide last-mile electrification at the lowest possible cost. A swarm grid is similar to a micro-grid, but rather than a planned network, it is assembled in an ad-hoc fashion, simply connecting available equipment via a controller, and expanding the grid as more resources become available. This allows the owners of small solar home systems (SHSs) to sell excess energy and enables others to gain an electrical connection without investing in their own system. Creating an income for the prosumer and helping others to get on the electrification ladder. This paper provides the first review specific to SE, giving an overview of the current state of the technology. A search was performed using the following terms: Swarm electrification, bottom-up electrification, organic microgrids, ad-hoc microgrids, pico-grids, nano grids, mesh grids and P2P energy trading. This yielded 91 publications that implicitly mentioned swarm electrification or described an ad-hoc grid with P2P energy trading. Of these, 48 were selected for this review as they were deemed to represent the key aspects of SE. The main topics within the literature are identified discussed, and the key challenges are noted. It is recommended that further research be performed in the areas of optimisation, stability and reliability with a view to scaling up these grids to support small industrial devices.
{"title":"The potential for swarm electrification as a flexible tool for last-mile energy access","authors":"Stephen Sheridan, K. Sunderland, Jane Courtney","doi":"10.1109/UPEC55022.2022.9917819","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917819","url":null,"abstract":"Swarm Electrification (SE) is gaining considerable attention as an exciting tool to provide last-mile electrification at the lowest possible cost. A swarm grid is similar to a micro-grid, but rather than a planned network, it is assembled in an ad-hoc fashion, simply connecting available equipment via a controller, and expanding the grid as more resources become available. This allows the owners of small solar home systems (SHSs) to sell excess energy and enables others to gain an electrical connection without investing in their own system. Creating an income for the prosumer and helping others to get on the electrification ladder. This paper provides the first review specific to SE, giving an overview of the current state of the technology. A search was performed using the following terms: Swarm electrification, bottom-up electrification, organic microgrids, ad-hoc microgrids, pico-grids, nano grids, mesh grids and P2P energy trading. This yielded 91 publications that implicitly mentioned swarm electrification or described an ad-hoc grid with P2P energy trading. Of these, 48 were selected for this review as they were deemed to represent the key aspects of SE. The main topics within the literature are identified discussed, and the key challenges are noted. It is recommended that further research be performed in the areas of optimisation, stability and reliability with a view to scaling up these grids to support small industrial devices.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124957165","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917922
Amin Mansour Saatloo, Manthila Wijesooriya Mudiyanselage, M. Mirzaei, Abbas Mehrabi, M. Marzband, N. Aslam
Distributed multi-energy systems, in addition to their advantages, pose significant challenges to future energy networks. One of these challenges is how these systems participate in energy markets. To overcome this issue, this paper introduces a virtual energy hub plant (VEHP) comprised of multiple energy hubs (EHs) to participate in the energy market in a cost-effective manner. Each EH is equipped with multiple distributed energy resources (DERs) in order to supply electrical, heating and cooling loads. Moreover, an integrated demand response (IDR) program and vehicle-to-grid (V2G) capable electric vehicles (EVs) are taken into consideration to enhance the flexibility to EHs. The manager of the VEHP participates in the existing day-ahead markets on behalf of EHs after collecting their bids. Since EHs are independent entities, a hybrid model of mobile edge computing system and analytical target cascading theory (MECATC) is proposed to preserve data privacy of EHs. Further, to tackle the uncertainty of renewables, a robust optimization method is applied. Obtained results corroborated the proposed scheduling is efficient and could increase the VEHP’s profit about 21.4% in light of using flexible technologies.
{"title":"Risk-Averse Decentralized Optimal Scheduling of a Virtual Energy Hub Plant Equipped with Multi Energy Conversion Facilities in Energy Markets","authors":"Amin Mansour Saatloo, Manthila Wijesooriya Mudiyanselage, M. Mirzaei, Abbas Mehrabi, M. Marzband, N. Aslam","doi":"10.1109/UPEC55022.2022.9917922","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917922","url":null,"abstract":"Distributed multi-energy systems, in addition to their advantages, pose significant challenges to future energy networks. One of these challenges is how these systems participate in energy markets. To overcome this issue, this paper introduces a virtual energy hub plant (VEHP) comprised of multiple energy hubs (EHs) to participate in the energy market in a cost-effective manner. Each EH is equipped with multiple distributed energy resources (DERs) in order to supply electrical, heating and cooling loads. Moreover, an integrated demand response (IDR) program and vehicle-to-grid (V2G) capable electric vehicles (EVs) are taken into consideration to enhance the flexibility to EHs. The manager of the VEHP participates in the existing day-ahead markets on behalf of EHs after collecting their bids. Since EHs are independent entities, a hybrid model of mobile edge computing system and analytical target cascading theory (MECATC) is proposed to preserve data privacy of EHs. Further, to tackle the uncertainty of renewables, a robust optimization method is applied. Obtained results corroborated the proposed scheduling is efficient and could increase the VEHP’s profit about 21.4% in light of using flexible technologies.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121683806","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917853
Alia J. Mohammed, Sadeq D. Al-Majidi, Mohammed Kh. Al-Nussairi, M. Abbod, H. Al-Raweshidy
A Load Frequency Controller (LFC) is considered an essential part in a single-area Power System Network (PSN) to adjust its frequency level and enhance the output power when the electrical demand is changed rapidly. In this paper, the LFC based on an Artificial Neural Network (ANN) technique is designed for the single-area PSN. The training data of the ANN model are collected from a proposed Simulink test. Then, a MATLAB/Simulink model of the single-area PSN is developed to assess this proposal. The results show that the operation work of the proposed ANN controller is better than a Proportional-Integral-Derivative PID controller under the different states of step-change loads in the term of transit state and deviation issues.
{"title":"Design of a Load Frequency Controller based on Artificial Neural Network for Single-Area Power System","authors":"Alia J. Mohammed, Sadeq D. Al-Majidi, Mohammed Kh. Al-Nussairi, M. Abbod, H. Al-Raweshidy","doi":"10.1109/UPEC55022.2022.9917853","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917853","url":null,"abstract":"A Load Frequency Controller (LFC) is considered an essential part in a single-area Power System Network (PSN) to adjust its frequency level and enhance the output power when the electrical demand is changed rapidly. In this paper, the LFC based on an Artificial Neural Network (ANN) technique is designed for the single-area PSN. The training data of the ANN model are collected from a proposed Simulink test. Then, a MATLAB/Simulink model of the single-area PSN is developed to assess this proposal. The results show that the operation work of the proposed ANN controller is better than a Proportional-Integral-Derivative PID controller under the different states of step-change loads in the term of transit state and deviation issues.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134110032","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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