D. Geelen, Arno Scheepens, Charlotte Kobus, Uchechi Obinna, R. Mugge, J. Schoormans, A. Reinders
{"title":"Smart energy households' pilot projects in The Netherlands with a design-driven approach","authors":"D. Geelen, Arno Scheepens, Charlotte Kobus, Uchechi Obinna, R. Mugge, J. Schoormans, A. Reinders","doi":"10.1109/ISGTEurope.2013.6695480","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2013.6695480","url":null,"abstract":"Residential smart grid projects can be evaluated by a design-driven approach, which focuses on gaining insights for successful product and service development by taking the end-users as a starting point. Because only little experience exists with this design-driven approach, this paper addresses how four pilot projects with smart energy households in the Netherlands - namely (A) Power Matching City, (B) Smart Wash, (C) Your Energy Moment and (D) Nieuwveense landen - are being or will be evaluated. The pilot projects illustrate that by studying end-users' perception of and interaction with technology, insights are created that can be used for development of product and service development, not only from a technical point of view but also in terms of financial and non-financial value creation. A design-driven approach can therefore help to broaden the focus of product and service development from merely technical feasibility to a multidisciplinary exploration of how to create successful products and services for smart grid households.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122410019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fair charging strategies for EVs connected to a low-voltage distribution network","authors":"Mingming Liu, Paul McNamara, S. McLoone","doi":"10.1109/ISGTEUROPE.2013.6695268","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2013.6695268","url":null,"abstract":"The development of smart grid technologies and appropriate charging strategies are key to accommodating large numbers of Electric Vehicles (EV) charging on the grid. In this paper a general framework is presented for formulating the EV charging optimization problem and three different charging strategies are investigated and compared from the perspective of charging fairness while taking into account power system constraints. Two strategies are based on distributed algorithms, namely, Additive Increase and Multiplicative Decrease (AIMD), and Distributed Price-Feedback (DPF), while the third is an ideal centralized solution used to benchmark performance. The algorithms are evaluated using a simulation of a typical residential low voltage distribution network with 50% EV penetration.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116747749","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}
Anne Mai Ersdal, Ines M. Cecilio, D. Fabozzi, L. Imsland, N. Thornhill
{"title":"Applying model predictive control to power system frequency control","authors":"Anne Mai Ersdal, Ines M. Cecilio, D. Fabozzi, L. Imsland, N. Thornhill","doi":"10.1109/ISGTEurope.2013.6695306","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2013.6695306","url":null,"abstract":"Model predictive control (MPC) is investigated as a control method which may offer advantages in frequency control of power systems than the control methods applied today, especially in presence of increased renewable energy penetration. The MPC includes constraints on both generation amount and generation rate of change, and it is tested on a one-area system. The proposed MPC is tested against a conventional proportional-integral (PI) controller, and simulations show that the MPC improves frequency deviation and control performance.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116693470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hierarchical Demand Response using Dantzig-Wolfe decomposition","authors":"Paul McNamara, S. McLoone","doi":"10.1109/ISGTEurope.2013.6695269","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2013.6695269","url":null,"abstract":"Demand Side Management (DSM) programmes are designed to shift electrical loads from peak times. Demand Response (DR) algorithms automate this process for controllable loads. DR can be implemented explicitly in terms of Peak to Average Ratio Reduction (PARR), in which case the maximum peak load is minimised over a prediction horizon by manipulating the amount of energy given to controllable loads at different times. A hierarchical predictive PARR algorithm is presented here based on Dantzig-Wolfe decomposition.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116595991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Online optimal power flow based on HPSO-TVAC coordinates with centralized BESS and LRT control to stabilize voltage in a PV-supplied microgrid","authors":"K. L. Dinh, Y. Hayashi","doi":"10.1109/ISGTEurope.2013.6695465","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2013.6695465","url":null,"abstract":"This paper proposes an online optimal active power flow for local battery energy storage systems (BESS), which are installed at feeder nodes, based on self-organizing hierarchical particle swarm optimization with time-varying acceleration coefficients to minimize power transmission loss in a middle voltage 6.6 KV photovoltaic-supplied microgrid. In addition, a central BESS, which is installed at an interconnection point, minimizes power flow from the utility to the microgrid through the interconnection point, and coordinates with a load ratio control transformer to stabilize local node voltages in the microgrid. The central BESS is designed to operate as a distribution static compensator when batteries in the central battery energy storage system are fully charged or fully discharged. Loop and radial structures of MG are studied to evaluate the effective of proposed method. MATLAB/Simulink is used to simulate the microgrid model. A conventional control method and the proposed control method are compared to evaluate its effectiveness.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126527987","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}
Miguel A. Lopez, J. Aguado, S. D. L. Torre, Miriam Figueroa
{"title":"Optimization-based market-clearing procedure with EVs aggregator participation","authors":"Miguel A. Lopez, J. Aguado, S. D. L. Torre, Miriam Figueroa","doi":"10.1109/ISGTEurope.2013.6695433","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2013.6695433","url":null,"abstract":"For the upcoming new generation of electric power systems, i.e. smart grids, one of the most important challenges is to achieve an adequate economic and technical management involving the different agents in the process. In order to deliver the available power from suppliers to consumers, a market-clearing mechanism is needed. At the same time, technical operation calls for controlling that technical limits are not reached to preserve the security of the system. In this environment, Electric Vehicles (EVs) are gaining importance both in economic and technical issues. In this paper, an optimization-based approach is proposed for clearing the market in a smart grid. The traditional participants in energy markets are included in the formulation, stressing the role of EVs aggregators. The results presented in this paper illustrate the influence of EVs in the market-clearing procedure. The benefits for the system and EVs aggregators are also studied.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"56 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124183735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal allocation of wind generation subject to voltage stability constraints","authors":"Mostafa Bakhtvar, A. Keane","doi":"10.1109/ISGTEurope.2013.6695372","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2013.6695372","url":null,"abstract":"In power systems the occurrence probability of operating points close to network limits may be increased as a result of high wind penetration. Consequences of such scenarios include inefficient exploitation of both wind and economic resources. A well chosen allocation of wind capacity not only is in line with the trend of renewables integration in power systems but also allows for limiting the occurrence probability of unsafe operating points that may require costly remedies. In this work, a voltage stability constrained optimal power flow (VSC-OPF) framework is presented for transmission system planning and applied to wind capacity allocation. This framework captures multiple wind and demand scenarios within the OPF. The pattern of wind capacity allocation is studied in order to assess its impact on voltage stability and the total wind capacity allocation. The results emphasize the effect of the capacity allocation pattern on improvement of voltage stability.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114443618","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}
Hermen A. Toersche, A. Molderink, J. Hurink, G. Smit
{"title":"Column generation based planning in smart grids using TRIANA","authors":"Hermen A. Toersche, A. Molderink, J. Hurink, G. Smit","doi":"10.1109/ISGTEurope.2013.6695431","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2013.6695431","url":null,"abstract":"Column generation is applied to the TRIANA smart grid framework's planner and combined with distributed dynamic programming. Simulations show that this improves the resulting planning compared to methods described in previous work (extra peak reduction of 7.3%; large fluctuation reduction) at the cost of additional processing.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130933014","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}
M. Jostock, J. Sachau, J. Hadji-Minaglou, C. Tuttas
{"title":"Structured analysis of arbitrary island grids","authors":"M. Jostock, J. Sachau, J. Hadji-Minaglou, C. Tuttas","doi":"10.1109/ISGTEurope.2013.6695301","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2013.6695301","url":null,"abstract":"This paper summarises an analytic control model for arbitrary island grids and presents findings on the dynamic behaviour of purely inverter driven island grids. Pole zero plots of different grid structures are presented and the influence of several inverter parameters on the grid stability is analysed. Findings show that for improved grid stability the inverter's time constants should also relate to their rated power. Further it is shown how P-Q rotation in the droop control can improve the integration density of renewable power sources in the distribution grid.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116717292","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}
Gerwin Hoogsteen, A. Molderink, V. Bakker, G. Smit
{"title":"Integrating LV network models and load-flow calculations into smart grid planning","authors":"Gerwin Hoogsteen, A. Molderink, V. Bakker, G. Smit","doi":"10.1109/ISGTEurope.2013.6695427","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2013.6695427","url":null,"abstract":"Increasing energy prices and the greenhouse effect demand a more efficient supply of energy. More residents start to install their own energy generation sources such as photovoltaic cells. The introduction of distributed generation in the low-voltage network can have effects that were unexpected when the network was designed and could lead to a bad power quality. These developments ask for better insight in the effects of a planning for a fleet of households in a network. This paper presents the results of adding network models to planning strategies. Forward-backward load-flow calculations for a three phase low-voltage network are implemented to simulate the network. The results from load-flow calculations are used as feedback for demand side management. The results in this paper show that the implementation is both fast and accurate enough for integration purposes. Combining load-flow feedback and demand side management leads to improved worst-case voltage levels and cable usage whilst peakshaving optimization performance does not degrade significantly. These results indicate that load-flow calculations should be integrated with demand side management methodologies to evaluate whether networks support the effects of steering production and consumption. More sophisticated integration of network models are left for future work.","PeriodicalId":307118,"journal":{"name":"IEEE PES ISGT Europe 2013","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126790868","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}