Pub Date : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571594
S. Engel, J. V. Appen, E. Dorre, D. Nestle, J. Ringelstein
Converting today's energy supply to a system relying on renewable energy sources (RES) represents an essential goal of the German energy transition. As a prerequisite, however, volatile RES need to be exploited more efficiently. To raise awareness of end customers for this challenge, a gamification based energy management approach is proposed in this paper. The concept aims at motivating consumers to harmonize their electrical consumption with a volatile generation of RES by applying game design elements to the energy related context. To test the approach, a corresponding field test is conducted. The evaluation of the data collected during the field test shows that the consumers' electricity demand can be influenced by intrinsic incentives in order to shift their electrical consumption into times with high RES availability.
{"title":"Results from the operation of a Social Energy Management System","authors":"S. Engel, J. V. Appen, E. Dorre, D. Nestle, J. Ringelstein","doi":"10.1109/ISGTEurope.2018.8571594","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571594","url":null,"abstract":"Converting today's energy supply to a system relying on renewable energy sources (RES) represents an essential goal of the German energy transition. As a prerequisite, however, volatile RES need to be exploited more efficiently. To raise awareness of end customers for this challenge, a gamification based energy management approach is proposed in this paper. The concept aims at motivating consumers to harmonize their electrical consumption with a volatile generation of RES by applying game design elements to the energy related context. To test the approach, a corresponding field test is conducted. The evaluation of the data collected during the field test shows that the consumers' electricity demand can be influenced by intrinsic incentives in order to shift their electrical consumption into times with high RES availability.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132319487","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571838
L. Hunter, C. Booth, S. Finney, A. Junyent-Ferré
This paper outlines the case for using Medium Voltage Direct Current (MVDC) (5–50 kV) elements in distribution systems as a means to accelerate the deployment of low carbon technologies. The approach uses existing cable and overhead assets, originally designed into the ac system for security purposes. By selective conversion to dc, an inter GSP (grid supply point) balancing network can be created with modifications only required at substations. This approach allows for increased network transfer capability without increasing fault level as would be the case with conventional interconnection. Using data from a real-world Scottish suburban distribution network, the benefits and barriers to such an approach are examined. Power flows for the existing network are benchmarked under various present day and future loading scenarios. Controllable MVDC links are introduced to the network and power flow studies used to assess the value of such an approach to network reinforcement. Cost estimates for such a scheme are projected using data from industrial trials.
{"title":"MVDC Network Balancing for Increased Penetration of Low Carbon Technologies","authors":"L. Hunter, C. Booth, S. Finney, A. Junyent-Ferré","doi":"10.1109/ISGTEurope.2018.8571838","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571838","url":null,"abstract":"This paper outlines the case for using Medium Voltage Direct Current (MVDC) (5–50 kV) elements in distribution systems as a means to accelerate the deployment of low carbon technologies. The approach uses existing cable and overhead assets, originally designed into the ac system for security purposes. By selective conversion to dc, an inter GSP (grid supply point) balancing network can be created with modifications only required at substations. This approach allows for increased network transfer capability without increasing fault level as would be the case with conventional interconnection. Using data from a real-world Scottish suburban distribution network, the benefits and barriers to such an approach are examined. Power flows for the existing network are benchmarked under various present day and future loading scenarios. Controllable MVDC links are introduced to the network and power flow studies used to assess the value of such an approach to network reinforcement. Cost estimates for such a scheme are projected using data from industrial trials.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128937615","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571526
T. Sennewald, Florian Sass, D. Westermann
By current security definitions, the N-1 security of AC-HVDC-systems has to be evaluated separately for both the AC- and the HVDC-system, whilst the Voltage Source Converter (VSC) technology ensures a controlled power exchange between both systems. Under this premise, new system operation strategies are possible like a combined N-1 security definition. Critical contingencies to be respected in this case comprise outages of AC and HVDC lines and VSC. This paper proposes an advanced Preventive Security Constrained Optimal Power Flow (PSCOPF). The algorithm adapts the VSC set-points comprising the active power and DC node voltages. The PSCOPF algorithm is based on a Differential Evolution algorithm whose performance has been further improved by a sophisticated contingency handling technique.
{"title":"Active and Reactive Power PSCOPF for Mixed AC- HVDC-Systems","authors":"T. Sennewald, Florian Sass, D. Westermann","doi":"10.1109/ISGTEurope.2018.8571526","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571526","url":null,"abstract":"By current security definitions, the N-1 security of AC-HVDC-systems has to be evaluated separately for both the AC- and the HVDC-system, whilst the Voltage Source Converter (VSC) technology ensures a controlled power exchange between both systems. Under this premise, new system operation strategies are possible like a combined N-1 security definition. Critical contingencies to be respected in this case comprise outages of AC and HVDC lines and VSC. This paper proposes an advanced Preventive Security Constrained Optimal Power Flow (PSCOPF). The algorithm adapts the VSC set-points comprising the active power and DC node voltages. The PSCOPF algorithm is based on a Differential Evolution algorithm whose performance has been further improved by a sophisticated contingency handling technique.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"1980 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128486119","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571804
Olivier Borne, M. Petit, Y. Perez
As the share of Renewable Energy Sources is increasing as well as Electric Vehicles sales, storage of Vehicles is now studied as a potential provider of flexibility products, such as reserve. As offering this service is remunerated, it would allow to decrease Total Cost of Ownership of Electric Vehicles and to facilitate their adoption. However, provision should satisfy technical requirements as well as mobility needs. In this paper, we analyze how degrees of freedom in the technical requirements, such as dead-band or possibility of over-solicitation could increase provision of reserve and reduce constraints on mobility needs.
{"title":"Provision of Frequency-Containment-Reserve by Electric Vehicles: Impact of Technical Requirements","authors":"Olivier Borne, M. Petit, Y. Perez","doi":"10.1109/ISGTEurope.2018.8571804","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571804","url":null,"abstract":"As the share of Renewable Energy Sources is increasing as well as Electric Vehicles sales, storage of Vehicles is now studied as a potential provider of flexibility products, such as reserve. As offering this service is remunerated, it would allow to decrease Total Cost of Ownership of Electric Vehicles and to facilitate their adoption. However, provision should satisfy technical requirements as well as mobility needs. In this paper, we analyze how degrees of freedom in the technical requirements, such as dead-band or possibility of over-solicitation could increase provision of reserve and reduce constraints on mobility needs.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114504225","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571460
S. Wald, E. Kotsakis, A. Langner, M. Masera
A new methodology for real-time management and control of smart grids is proposed. It exploits the full benefit of a multi-directional communication between all stakeholders in order to regularly provide efficient operations in case of emergency. The unique feature of the proposed methodology is that the techno-economic demands imposed by a policy and the environmental/social constrains are preserved at all times without the need for artificial, disclosed or hidden economic subsidies or other incentives. The Dynamic Management and Control of Smart Energy Grids (McSEG) approach takes into consideration the policy priorities and the parameters that could potentially affect the policy and formulate precise indicators that could be used to evaluate compliance in a transparent way. The grid-management decisions are taken dynamically based on the priorities set by the policy makers and the regulators. The method enables the interoperability between distributed energy service suppliers in the electricity grid with different technologies. In this way the competition could be realised in a transparent and fairmanner.
{"title":"McSeg - Dynamic Management and Control of Smart Energy Grids","authors":"S. Wald, E. Kotsakis, A. Langner, M. Masera","doi":"10.1109/ISGTEurope.2018.8571460","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571460","url":null,"abstract":"A new methodology for real-time management and control of smart grids is proposed. It exploits the full benefit of a multi-directional communication between all stakeholders in order to regularly provide efficient operations in case of emergency. The unique feature of the proposed methodology is that the techno-economic demands imposed by a policy and the environmental/social constrains are preserved at all times without the need for artificial, disclosed or hidden economic subsidies or other incentives. The Dynamic Management and Control of Smart Energy Grids (McSEG) approach takes into consideration the policy priorities and the parameters that could potentially affect the policy and formulate precise indicators that could be used to evaluate compliance in a transparent way. The grid-management decisions are taken dynamically based on the priorities set by the policy makers and the regulators. The method enables the interoperability between distributed energy service suppliers in the electricity grid with different technologies. In this way the competition could be realised in a transparent and fairmanner.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115181714","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571842
Abdullah Altamimi, D. Jayaweera
The Wind power generation is reliant on prevailing climatic conditions and can be vulnerable to climate changes in several ways. This paper investigates the reliability performances of a power system with climate change effects resulting through integrated wind farms. The study simulates wind farm models with ambient weather conditions. A long-term climate change model with different emission scenarios is simulated at the wind farms and then reliability performance of a power system is assessed using Monte Carlo Simulation (MCS). The study incorporates a comprehensive multi-model ensemble of EURO-CORDEX at high a resolution which scales down Global Circulation Model (GCM) and Regional Climate Model (RCM). The simulation results suggest that the wind generation integrated power system's reliability is particularly impacted by the changes in climatic conditions. This impact is conspicuous in RCP8.5 emissions scenario where an increase in expected energy not served (EENS) is prominent over the long run, whereas RCP4.5 emissions scenario is not significantly affected with EENS. RCP2.6 emissions scenario showed a negative behaviour from medium term to long term but the overall EENS is still less compared with RCP8.5 emissions scenarios. Case studies are presented considering a geographic location in Birmingham, UK.
风力发电依赖于当时的气候条件，并且在几个方面容易受到气候变化的影响。本文研究了综合风电场对气候变化影响下电力系统的可靠性性能。该研究模拟了具有环境天气条件的风电场模型。利用蒙特卡罗仿真技术(Monte Carlo Simulation, MCS)对风电场的长期气候变化模型和不同排放情景进行了模拟，并对电力系统的可靠性性能进行了评估。本文采用EURO-CORDEX高分辨率综合多模式集合，缩小了全球环流模式(GCM)和区域气候模式(RCM)的尺度。仿真结果表明，气候条件的变化对风力发电综合发电系统的可靠性影响较大。这种影响在RCP8.5排放情景中非常明显，因为从长期来看，预期未服务能源(EENS)的增加是显著的，而RCP4.5排放情景则不受EENS的显著影响。从中期到长期来看，RCP2.6排放情景表现为负面行为，但与RCP8.5排放情景相比，整体EENS仍较低。案例研究提出考虑在伯明翰，英国的地理位置。
{"title":"Long-Term Reliability Impacts of a Power System with Climate Change Effects on Wind Farms","authors":"Abdullah Altamimi, D. Jayaweera","doi":"10.1109/ISGTEurope.2018.8571842","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571842","url":null,"abstract":"The Wind power generation is reliant on prevailing climatic conditions and can be vulnerable to climate changes in several ways. This paper investigates the reliability performances of a power system with climate change effects resulting through integrated wind farms. The study simulates wind farm models with ambient weather conditions. A long-term climate change model with different emission scenarios is simulated at the wind farms and then reliability performance of a power system is assessed using Monte Carlo Simulation (MCS). The study incorporates a comprehensive multi-model ensemble of EURO-CORDEX at high a resolution which scales down Global Circulation Model (GCM) and Regional Climate Model (RCM). The simulation results suggest that the wind generation integrated power system's reliability is particularly impacted by the changes in climatic conditions. This impact is conspicuous in RCP8.5 emissions scenario where an increase in expected energy not served (EENS) is prominent over the long run, whereas RCP4.5 emissions scenario is not significantly affected with EENS. RCP2.6 emissions scenario showed a negative behaviour from medium term to long term but the overall EENS is still less compared with RCP8.5 emissions scenarios. Case studies are presented considering a geographic location in Birmingham, UK.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114767204","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571667
Jacques Wattel, M. Tomlinson, J. Beukes, T. Mouton
This paper investigates the use of smart meters to measure the line impedance of LV feeders to provide information on the adequacy of protection settings, deteriorating infrastructure, damaged infrastructure, etc. The consequences of a broken neutral conductor are examined for the two earthing schemes used in South Africa. The feasibility of measuring the line impedance using smart meters is evaluated using an experimental model of an LV feeder with experimental smart meters located at customer installations. Experimental results showed that the smart meters can be used to estimate the line impedance to detect a possible broken neutral or protective earth and neutral conductor failure.
{"title":"Continuous Line Impedance Assessment of LV Feeders Using Smart Meters","authors":"Jacques Wattel, M. Tomlinson, J. Beukes, T. Mouton","doi":"10.1109/ISGTEurope.2018.8571667","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571667","url":null,"abstract":"This paper investigates the use of smart meters to measure the line impedance of LV feeders to provide information on the adequacy of protection settings, deteriorating infrastructure, damaged infrastructure, etc. The consequences of a broken neutral conductor are examined for the two earthing schemes used in South Africa. The feasibility of measuring the line impedance using smart meters is evaluated using an experimental model of an LV feeder with experimental smart meters located at customer installations. Experimental results showed that the smart meters can be used to estimate the line impedance to detect a possible broken neutral or protective earth and neutral conductor failure.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127165516","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571600
Murat Salim Karabinaoglu, T. Gözel
Load profile forecasting of a data center or IT system has recently been a challenging issue because of the huge consumption percentage of them within the global electricity supply. It is predicted that data centers will consume three times as much energy in next decade. The main goal of this paper is to find out which internal or external parameters are more or less effective for the power consumption of a data center by using a demo server device instead of a complicated data center. Specifically, the internal parameter analysis of a data center on power consumption by using automation control system devices, energy analyzers, appropriate custom designed software and etc. could make us to accomplish our aim regardless of the effect of cooling equipment on power consumption.
{"title":"Load Profile Analysis of Data Centers and IT Systems With Feature Effect Comparison","authors":"Murat Salim Karabinaoglu, T. Gözel","doi":"10.1109/ISGTEurope.2018.8571600","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571600","url":null,"abstract":"Load profile forecasting of a data center or IT system has recently been a challenging issue because of the huge consumption percentage of them within the global electricity supply. It is predicted that data centers will consume three times as much energy in next decade. The main goal of this paper is to find out which internal or external parameters are more or less effective for the power consumption of a data center by using a demo server device instead of a complicated data center. Specifically, the internal parameter analysis of a data center on power consumption by using automation control system devices, energy analyzers, appropriate custom designed software and etc. could make us to accomplish our aim regardless of the effect of cooling equipment on power consumption.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127377467","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571701
Raunak Kulkarni, S. Khuntia, Arun Joseph, J. Rueda, P. Palensky
A substantial increase in renewable energy in-feed to the primary grid as well as demand growth poses a challenge for transmission system operators (TSOs) to perform maintenance activities while addressing security of supply. A computationally efficient outage scheduling algorithm which is customizable in terms of area and time selection is proposed in this paper. Benders decomposition approach under different demand and wind scenarios, spanning two-stage stochastic programming approach is used. An accurate schedule while fulfilling both maintenance and network constraints is validated on a modified IEEE RTS-24 bus system in GAMS environment. A cost comparison analysis is also performed in this study.
{"title":"Economic outage scheduling of transmission line for long-term horizon under demand and wind scenarios","authors":"Raunak Kulkarni, S. Khuntia, Arun Joseph, J. Rueda, P. Palensky","doi":"10.1109/ISGTEurope.2018.8571701","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571701","url":null,"abstract":"A substantial increase in renewable energy in-feed to the primary grid as well as demand growth poses a challenge for transmission system operators (TSOs) to perform maintenance activities while addressing security of supply. A computationally efficient outage scheduling algorithm which is customizable in terms of area and time selection is proposed in this paper. Benders decomposition approach under different demand and wind scenarios, spanning two-stage stochastic programming approach is used. An accurate schedule while fulfilling both maintenance and network constraints is validated on a modified IEEE RTS-24 bus system in GAMS environment. A cost comparison analysis is also performed in this study.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125821555","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571453
Simon Ackermann, A. Szabo, Florian Steinke
Day-ahead scheduling of hybrid power plants with renewable energy resources is inherently associated with uncertainties. We therefore show how to formulate the problem as a two-stage stochastic optimization. To hedge against low profits or even losses, risk averse scheduling is achieved by including risk measures like the (conditional) value at risk into the objective. However, a standard formulation of this approach entails multiple drawbacks, e.g., large sample sizes are required to correctly capture the tails of the profit distribution. To overcome these deficiencies we propose two new methods based on the principles of the recently introduced Robust Common Rank Approximation. The methods are based on efficient scenario reduction with the aid of a simplified, quickly computable proxy model of the full system. We demonstrate dramatically reduced computation times at similar or even superior solution quality with simulations of a hybrid power plant located at the French Antilles.
{"title":"A Computationally Efficient Method for Risk Averse Scheduling of Hybrid Power Plants","authors":"Simon Ackermann, A. Szabo, Florian Steinke","doi":"10.1109/ISGTEurope.2018.8571453","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571453","url":null,"abstract":"Day-ahead scheduling of hybrid power plants with renewable energy resources is inherently associated with uncertainties. We therefore show how to formulate the problem as a two-stage stochastic optimization. To hedge against low profits or even losses, risk averse scheduling is achieved by including risk measures like the (conditional) value at risk into the objective. However, a standard formulation of this approach entails multiple drawbacks, e.g., large sample sizes are required to correctly capture the tails of the profit distribution. To overcome these deficiencies we propose two new methods based on the principles of the recently introduced Robust Common Rank Approximation. The methods are based on efficient scenario reduction with the aid of a simplified, quickly computable proxy model of the full system. We demonstrate dramatically reduced computation times at similar or even superior solution quality with simulations of a hybrid power plant located at the French Antilles.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126874446","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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