Publications by Mikael Amelin
Peer reviewed
Articles
[1]
P. Shinde, G. Gamberi and M. Amelin, "A Multi-agent Model for Cross-border Trading in the Continuous Intraday Electricity Market," Energy Reports, vol. 9, pp. 6227-6240, 2023.
[2]
M. Skalyga et al., "Distributionally robust day-ahead combined heat and power plants scheduling with Wasserstein Metric," Energy, vol. 269, 2023.
[3]
F. G. Dires, M. Amelin and G. Bekele, "Inflow Scenario Generation for the Ethiopian Hydropower System," Water, vol. 15, no. 3, 2023.
[4]
F. G. Dires, M. Amelin and G. Bekele, "Long-Term Hydropower Planning for Ethiopia : A Rolling Horizon Stochastic Programming Approach with Uncertain Inflow," Energies, vol. 16, no. 21, 2023.
[5]
P. Shinde et al., "A Modified Progressive Hedging Approach for Multistage Intraday Trade of EV aggregators," Electric power systems research, vol. 212, 2022.
[6]
P. Shinde, I. Kouveliotis Lysikatos and M. Amelin, "Multistage Stochastic Programming for VPP Trading in Continuous Intraday Electricity Markets," IEEE Transactions on Sustainable Energy, vol. 13, no. 2, pp. 1037-1048, 2022.
[7]
J. Kiviluoma et al., "Spine Toolbox : A flexible open-source workflow management system with scenario and data management," SoftwareX, vol. 17, pp. 100967-100967, 2022.
[8]
A. Khodadadi, L. Söder and M. Amelin, "Stochastic adaptive robust approach for day-ahead energy market bidding strategies in hydro dominated sequential electricity markets," Sustainable Energy, Grids and Networks, vol. 32, 2022.
[9]
P. Shinde et al., "Analyzing Trade in Continuous Intra-Day Electricity Market : An Agent-Based Modeling Approach," Energies, vol. 14, no. 13, pp. 3860, 2021.
[10]
I. Kouveliotis Lysikatos et al., "Open Source Modelling and Simulation of the Nordic Hydro Power System," Energies, vol. 14, no. 5, pp. 1425, 2021.
[11]
D. Khastieva et al., "Value of energy storage for transmission investments," Energy Strategy Reviews, vol. 24, pp. 94-110, 2019.
[12]
D. Khastieva, I. Dimoulkas and M. Amelin, "Optimal Investment Planning of Bulk Energy Storage Systems," Sustainability, vol. 10, no. 3, 2018.
[13]
M. Song and M. Amelin, "Price-Maker Bidding in Day-Ahead Electricity Market for a Retailer With Flexible Demands," IEEE Transactions on Power Systems, vol. 33, no. 2, pp. 1948-1958, 2018.
[14]
E. Shayesteh, D. F. Gayme and M. Amelin, "System reduction techniques for storage allocation in large power systems," International Journal of Electrical Power & Energy Systems, vol. 95, pp. 108-117, 2018.
[15]
I. Dimoulkas and M. Amelin, "Use of temperature scenariosl medium and long-term probabilistic heat demand forecasting in district heating," Euroheat and Power (English Edition), vol. 15, no. 4, pp. 10-16, 2018.
[16]
I. Dimoulkas, M. Amelin and F. Levihn, "District heating system operation in power systems with high share of wind power," Journal of Modern Power Systems and Clean Energy, vol. 5, no. 6, pp. 850-862, 2017.
[17]
I. Dimoulkas and M. Amelin, "Monte carlo simulation of district heating system short-term operation in electricity markets," Energetika, vol. 63, no. 3, pp. 93-104, 2017.
[18]
M. Song and M. Amelin, "Purchase bidding strategy for a retailer with flexible demands in day-ahead electricity market," IEEE Transactions on Power Systems, vol. 32, no. 3, pp. 1839-1850, 2017.
[19]
E. Shayesteh, M. Amelin and L. Söder, "Multi-Station Equivalents for Short-Term Hydropower Scheduling," IEEE Transactions on Power Systems, vol. 31, no. 6, pp. 4616-4625, 2016.
[20]
E. Shayesteh, B. F. Hobbs and M. Amelin, "Scenario reduction, network aggregation, and DC linearisation : which simplifications matter most in operations and planning optimisation?," IET Generation, Transmission & Distribution, vol. 10, no. 11, pp. 2748-2755, 2016.
[21]
R. Scharff and M. Amelin, "Trading Behaviour on the Continuous Intraday Market Elbas," Energy Policy, vol. 88, pp. 544-557, 2016.
[22]
E. Shayesteh et al., "ATC-Based System Reduction for Planning Power Systems With Correlated Wind and Loads," IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 429-438, 2015.
[23]
M. Amelin, "An Evaluation of Intraday Trading and Demand Response for a Predominantly Hydro-Wind System Under Nordic Market Rules," IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 3-12, 2015.
[24]
E. Shayesteh, M. Amelin and L. Söder, "Area equivalents for spinning reserve determination in interconnected power systems," Energy, vol. 88, pp. 907-916, 2015.
[25]
C. Hamon et al., "Two partitioning methods for multi-area studies in large power systems," International Transactions on Electrical Energy Systems, vol. 25, no. 4, pp. 648-660, 2015.
[26]
E. Shayesteh et al., "REI method for multi-area modeling of power systems," International Journal of Electrical Power & Energy Systems, vol. 60, pp. 283-292, 2014.
[27]
R. Scharff, M. Amelin and L. Söder, "Approaching wind power forecast deviations with internal ex-ante self-balancing," Energy, vol. 57, pp. 106-115, 2013.
[28]
M. Perninge et al., "Modeling the electric power consumption in a multi-area system," European transactions on electrical power, vol. 21, no. 1, pp. 413-423, 2011.
[29]
M. Perninge et al., "Risk Estimation of Critical Time to Voltage Instability Induced by Saddle-Node Bifurcation," IEEE Transactions on Power Systems, vol. 25, no. 3, pp. 1600-1610, 2010.
[30]
M. Amelin and L. Söder, "Taking Credit : The Impact of Wind Power on Supply Adequacy-Experience from the Swedish Market," IEEE POWER ENERGY MAG, vol. 8, no. 5, pp. 47-52, 2010.
[31]
M. Amelin, "Comparison of Capacity Credit Calculation Methods for Conventional Power Plants and Wind Power," IEEE Transactions on Power Systems, vol. 24, no. 2, pp. 685-691, 2009.
[32]
E. Bompard et al., "Congestion-management schemes : A comparative analysis under a unified framework," IEEE Transactions on Power Systems, vol. 18, no. 1, pp. 346-352, 2003.
[33]
E. Bompard et al., "A Comparative Analysis of Congestion Management Schemes under a Unified Framework," IEEE Power Engineering Review, vol. 22, pp. 59-60, 2002.
Conference papers
[34]
P. Shinde et al., "A Modified Progressive Hedging Approach for Multistage Intraday Trade of EV Aggregators," in Power Systems Computation Conference 2022, Porto, Portugal from 27th of June to the 1st of July 2022, 2022.
[35]
P. Shinde, N. Bharambe and M. Amelin, "Agent-Based Model to Simulate Multiple Delivery Products in Continuous Intraday Electricity Market," in Proceedings IEEE Power and Energy Society General Meeting 2022, 2022.
[36]
P. Shinde, I. Kouveliotis Lysikatos and M. Amelin, "Cross-border Trading Model for a Risk-averse VPP in the Continuous Intraday Electricity Market," in 18th European Energy Market Conference, Ljubljana, Slovenia, 13-15 September 2022, 2022.
[37]
A. Khodadadi, L. Söder and M. Amelin, "Flexible Stochastic Bilevel Scheduling Strategy in Hydropower Dominated Energy Markets," in Proceedings of the 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022, 2022, pp. 245-249.
[38]
C. Fester et al., "Open-Source Modelling and Simulation of a District Heating and Electricity Energy System," in 1st International Workshop on Open Source Modelling and Simulation of Energy Systems, OSMSES 2022 - Proceedings, 2022.
[39]
I. Kouveliotis Lysikatos and M. Amelin, "The value of coordinating the operation of small-scale hydro," in Hydropower scheduling conference 2022, 2022.
[40]
P. Shinde, I. Kouveliotis Lysikatos and M. Amelin, "Analysing Trading Trends in Continuous Intraday Electricity Markets," in 2021 56Th International Universities Power Engineering Conference (UPEC 2021) : Powering Net Zero Emissions, 2021.
[41]
F. G. Dires, M. Amelin and G. Bekele, "Deterministic Hydropower Simulation Model for Ethiopia," in 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, 2021.
[42]
A. Kumar et al., "Open Nodal Power Flow Model of the Nordic Power System," in 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, 2021.
[43]
C. Ahlfors and M. Amelin, "Weekly planning of hydropower in systems with large volumes and varying power generation : A literature review," in 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, 2021.
[44]
I. Kouveliotis Lysikatos et al., "A Network Aggregation Tool for the Energy System Modelling Framework Spine," in Proceedings of the 2020 International Conference on Smart Energy Systems and Technologies, 2020.
[45]
I. Kouveliotis Lysikatos et al., "Exploring Multitemporal Hydro Power Models of the Nordic Power System using Spine Toolbox," in UPEC 2020 - 2020 55th International Universities Power Engineering Conference, Proceedings, 2020.
[46]
A. Khodadadi et al., "Nordic Balancing Markets : Overview of Market Rules," in International Conference on the European Energy Market, EEM, 2020.
[47]
P. Shinde and M. Amelin, "A Literature Review of Intraday Electricity Markets and Prices," in 2019 IEEE MILAN POWERTECH, 2019.
[48]
P. Shinde and M. Amelin, "Agent-Based Models in Electricity Markets : A Literature Review," in Proceedings of the 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), 2019, pp. 3026-3031.
[49]
P. Shinde and M. Amelin, "Agent-Based Models in Electricity Markets:A Literature Review," in IEEE ISGT Asia 2019, 2019.
[50]
I. Dimoulkas et al., "A hybrid model based on symbolic regression and neural networks for electricity load forecasting," in International Conference on the European Energy Market, EEM, 2018.
[51]
M. Song et al., "Impacts of flexible demand on the reliability of power systems," in 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2018.
[52]
M. Song et al., "Optimized operational management of an EVsharing community integrated with battery energystorage and PV generation," in International Conference on the European Energy Market, EEM 2018, 2018.
[53]
I. Dimoulkas, D. Khastieva and M. Amelin, "Constructing Offering Curves for a CSP Producer in Day-ahead Electricity Markets," in 6th Solar Integration Workshop : International workshop on integration of solar power into power systems, 2016, pp. 424-431.
[54]
M. Song and M. Amelin, "Estimating the price elasticity of residential power demand using a bottom-up approach," in Asia-Pacific Power and Energy Engineering Conference, APPEEC, 2016, pp. 243-247.
[55]
I. Dimoulkas, M. Amelin and M. R. Hesamzadeh, "Forecasting Balancing Market Prices Using Hidden Markov Models," in 2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2016.
[56]
D. Khastieva and M. Amelin, "Short-term planning of hydro-thermal system with high wind energy penetration and energy storage," in IEEE Power and Energy Society General Meeting, 2016.
[57]
M. Song and M. Amelin, "Improving the efficiency of a hydro-thermal power system utilizing demand-side flexibility," in 2015 IEEE Eindhoven PowerTech, PowerTech 2015, 2015.
[58]
M. Song and M. Amelin, "Improving the efficiency of a hydro-thermal power system utilizing demand-side flexibility," in 2015 12TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2015.
[59]
M. Song and M. Amelin, "Improving the efficiency of a hydro-thermal power system utilizing demand-side flexibility," in 2015 IEEE EINDHOVEN POWERTECH, 2015.
[60]
I. Dimoulkas and M. Amelin, "Probabilistic day-ahead CHP operation scheduling," in 2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2015.
[61]
I. Dimoulkas and M. Amelin, "CHP operation scheduling under uncertainty : Estimating the value of thermal energy storage," in Proceedings from the 14th International Symposium on District Heating and Cooling, 2014.
[62]
I. Dimoulkas and M. Amelin, "Constructing Bidding Curves for a CHP Producer in Day-ahead Electricity Markets," in ENERGYCON 2014 - IEEE International Energy Conference, 2014, pp. 487-494.
[63]
J. L. Gonzalez, I. Dimoulkas and M. Amelin, "Operation Planning of a CSP Plant in the Spanish Day-ahead Electricity Market," in ¨11th International Conference on the European Energy Market, EEM 2014; Krakow; Poland; 28 May 2014 through 30 May 2014, 2014.
[64]
R. Scharff and M. Amelin, "Distributed Balancing of Wind Power Forecast Deviations by Intraday Trading and Internal Ex-Ante Self-Balancing - A Modelling Approach," in 2013 24th International Workshop on Database and Expert Systems Applications (DEXA), 2013, pp. 176-183.
[65]
Y. Vardanyan, L. Söder and M. Amelin, "Hydropower Bidding Strategies to Day-Ahead and Real-Time Markets : Different Approaches," in 24th International Workshop on Database and Expert Systems Applications : DEXA 2013 : proceedings, 26-29 August 2013, Prague, Czech Republic, 2013, pp. 209-213.
[66]
G. Bakkabulindi et al., "Models for conductor size selection in Single Wire Earth Return distribution networks," in IEEE AFRICON 2013, 2013, p. 6757773.
[67]
Y. Vardanyan, M. Amelin and M. Hesamzadeh, "Short-term Hydropower Planning With Uncertain Wind Power Production," in Power and Energy Society General Meeting (PES), 2013 IEEE, 2013, p. 6672693.
[68]
Y. Vardanyan and M. Amelin, "A Sensitivity Analysis of Short-Term Hydropower Planning Using Stochastic Programming," in Power and Energy Society General Meeting, 2012 IEEE, 2012, p. 6344769.
[69]
A. Estanqueiro et al., "Energy storage for wind integration : Hydropower and other contributions," in Power and Energy Society General Meeting, 2012 IEEE, 2012, p. 6344652.
[70]
G. Bakkabulindi et al., "Planning Algorithm for Single Wire Earth Return Distribution Networks," in Power and Energy Society General Meeting, 2012 IEEE, 2012, pp. 1-7.
[71]
R. Scharff, M. Amelin and L. Söder, "The Influence of Internal "Ex-ante Self-balancing" on the Operation of a Power System," in 7th Conference on Sustainable Development of Energy, Water and Environment Systems, 2012.
[72]
G. Bakkabulindi et al., "A Heuristic Model for Planning of Single Wire Earth Return Power Distribution Networks," in Proceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011, 2011, pp. 215-222.
[73]
R. Scharff and M. Amelin, "A Study of Electricity Market Design for Systems with High Wind Power Penetration," in Energy Market (EEM), 2011 8th International Conference on the European, 2011, pp. 614-621.
[74]
Y. Vardanyan and M. Amelin, "The State-of-the-Art of the Short Term Hydro Power Planning with Large Amount of Wind Power in the System," in EEM 2011 : proceedings of the 8th international conference on the european energy market, 2011, pp. 448-454.
[75]
A. Sendegeya et al., "Application of Price Sensitivity Measurement Method to Assess the Acceptance of Electricity Tariffs," in 2009 AFRICON, VOLS 1 AND 2, 2009, pp. 158-162.
[76]
M. Perninge et al., "Estimating Upper Confidence Bounds of Electric Power Consumption," in THIRTEEN INTERNATIONAL MIDDLE- EAST POWER SYSTEMS CONFERENCE, MEPCON'2009, 2009.
[77]
M. Perninge et al., "The Impact of a Given Trading Limit on a Two-Area Test System," in 2009 IEEE BUCHAREST POWERTECH, 2009, pp. 2122-2127.
[78]
L. Söder and M. Amelin, "A review of different methodologies used for calculation of wind power capacity credit," in 2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, pp. 86-90.
[79]
M. Perninge, M. Amelin and V. Knazkins, "Comparing Variance Reduction Techniques for Monte Carlo Simulation of Trading and Security in a Three-Area Power System," in 2008 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION : LATIN AMERICA, VOLS 1 AND 2, 2008, pp. 461-465.
[80]
M. Perninge, M. Amelin and V. Knazkins, "Load Modeling Using the Ornstein-Uhlenbeck Process," in 2008 IEEE 2ND INTERNATIONAL POWER AND ENERGY CONFERENCE : PECON, VOLS 1-3, 2008, pp. 819-821.
[81]
M. Amelin, "Simulation of Trading Arrangements Impact on Wind Power Imbalance Costs," in 2008 10TH INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, 2008, pp. 25-31.
[82]
A.-M. Sendegeya et al., "Altruistic versus profit maximising system operators of rural power systems," in 2007 IEEE POWER ENGINEERING SOCIETY CONFERENCE AND EXPOSITION IN AFRICA, VOLS 1 AND 2, 2007, pp. 157-163.
[83]
M. Perninge, V. Knazkins and M. Amelin, "Monte Carlo Analysis of the Trade-Off between Trading and Security in a Two-Area System," in GMSARN (The Greater Mekong Subregion Academic and Research Network) International Conference 2007 : Sustainable Development: Challenges and Opportunities for the Greater Mekong Subregion, 2007.
[84]
A.-M. Sendegeya et al., "Consumer price sensitivity impact on tariff level in isolated rural power systems," in PROCEEDINGS OF THE 41ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1 AND 2, 2006, pp. 1-5.
[85]
T. Solver and M. Amelin, "State duration based Monte Carlo simulation model with independent failures for distribution system reliability analysis," in 2006 International Conference on Probabilistic Methods Applied to Power Systems, Vols 1 and 2, 2006, pp. 106-113.
[86]
M. Amelin, V. Knazkins and L. Söder, "Estimation of maximum power consumption in the grid area of Fortum, Stockholm," in A-ETS/EES-0503, KTH Stockholm, 2005.
[87]
M. Amelin and L. Söder, "The Strata Tree : A Useful Tool for Simulation of Electricity Markets," in PMAPS 2002, Naples, Italy, 2002.
[88]
M. Amelin and L. Söder, "On Monte Carlo simulation of electricity markets with uncertainties in precipitation and load forecasts," in Power Tech Proceedings, 2001 IEEE Porto, 2001, pp. 6-1.
[89]
M. Amelin and L. Söder, "A fast multi-area economic hydro-thermal power system model," in NAPS, 1999.
[90]
M. Amelin and L. Söder, "Cost estimations for power sources in rural electrification schemes," in ICEET, 1999, pp. 98-105.
Non-peer reviewed
Articles
[91]
M. Song et al., "Planning and operation models for an EV sharing community in spot and balancing market," IEEE Transactions on Smart Grid, 2019.
Conference papers
[92]
R. Scharff and M. Amelin, "Trading behavior on the continuous intraday market ELBAS," in ENERDAY 11th Conference on Energy Economics and Technology : Energy Efficiency and Demand Response, 2016.
[93]
R. Scharff and M. Amelin, "Analysis of Market Participants' Trading Behaviour on the Nordic Intraday Market : Work-in-progress," in ENERDAY, 9th Conference on Energy Economics and Technology on 11 April 2014, Dresden, Germany, 2014.
Theses
[94]
M. Amelin, "On Monte Carlo simulation and analysis of electricity markets," Doctoral thesis Stockholm : KTH, Trita-ETS, 0405, 2004.
[95]
M. Amelin, "The value of transmission capability between countries and regions," Licentiate thesis Stockholm : KTH, Trita-EES, 0002, 2000.
Reports
[96]
M. Amelin, C. Englund and A. Fagerberg, "Balansering av vindkraft och vattenkraft i norra Sverige," Royal Institute of Technology (KTH), Elforsk rapport, 09:88, 2009.
[97]
M. Amelin, "Impact of Trading Arrangements on Imbalance Costs," Stockholm : Elforsk AB, Elforsk rapport, 09:68, 2009.
[98]
M. Amelin, "Small-scale Renewable Energy Sources for Rural Electrification. Possibilities and Limitations," KTH Royal Institute of Technology, 1998.
Other
[99]
[100]
[101]
E. Shayesteh, M. Amelin and L. Söder, "Power system equivalents for spinning reserve determination in multi-area power systems," (Manuscript).
[102]
E. Shayesteh, B. F. Hobbs and M. Amelin, "Scenario reduction, network aggregation, and DC linearization : which simplifications matter most in market simulations?," (Manuscript).
[103]
E. Shayesteh, D. Gayme and M. Amelin, "System Reduction Techniques for Storage Allocation in Large Power Systems," (Manuscript).
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2024-08-11 01:18:42