D. Babazadeh, A. Muthukrishnan, L. Nordström, P. Mitra, T. Larsson
{"title":"Short circuit capacity estimation for HVDC control application","authors":"D. Babazadeh, A. Muthukrishnan, L. Nordström, P. Mitra, T. Larsson","doi":"10.1109/PSCC.2016.7540875","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540875","url":null,"abstract":"This paper studies various operational aspects of recursive least square algorithm as a potential solution for the estimation of short circuit capacity in HVDC application. In this work, low computational requirement, minor operational complication and acceptable accuracy of the estimated grid parameters have been considered as the performance metrics for the selection of the suitable estimation algorithm. The chosen algorithm forms a regression problem using at least two algebraic complex equations based on two different operating points. The appropriate selection of the second operating point which fulfills the minimum required accuracy and convergence rate is of great importance, particularly in the practical implementation. This paper proposes and analyzes several choices of providing the second operating point for the estimation algorithm adopted to HVDC application. Furthermore, a sensitivity analysis has been carried out to assess the impact of different parameters and operational conditions such as execution time on the performance of the estimation algorithm for the HVDC control purposes.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"14 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129948483","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. Armendariz, D. Babazadeh, L. Nordström, M. Barchiesi
{"title":"A method to place meters in active low voltage distribution networks using BPSO algorithm","authors":"M. Armendariz, D. Babazadeh, L. Nordström, M. Barchiesi","doi":"10.1109/PSCC.2016.7540873","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540873","url":null,"abstract":"This paper proposes a method to be used by a Distribution System Operator (DSO) to optimally place sensors at medium voltage/ low voltage (MV/LV) substation and some low voltage cable distribution cabinets. This method aims to improve the estimation of the grid states at low voltage distribution networks. This method formulates a multi-objective optimization problem to determine the optimal meter placement configuration. This formulation minimizes the low voltage state estimation error and the cost associated to a particular meter deployment configuration. The method uses Binary Particle Swarm Optimization (BPSO) to solve the optimization problem and it has been tested on a network based on the Cigré LV benchmark grid. The simulation results show that the method can be applied to both situations where smart meter measurements are available and situations where they are not. In the latter situation the measurements are replaced by pseudo-measurements, which represent meter readings by using smart meter historical data and prediction models.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132053520","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}
A. Codino, F. Gatta, A. Geri, R. Lamedica, S. Lauria, M. Maccioni, A. Ruvio, R. Calone
{"title":"Cross-country fault protection in ENEL Distribuzione's experimental MV loop lines","authors":"A. Codino, F. Gatta, A. Geri, R. Lamedica, S. Lauria, M. Maccioni, A. Ruvio, R. Calone","doi":"10.1109/PSCC.2016.7540979","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540979","url":null,"abstract":"In the last years, high penetration of distributed generation (DG) has strongly affected public MV networks. In order to improve their reliability and availability, loop operation is being tested. This solution requires the installation of new line protection devices and the identification of appropriate settings against phase-to-phase and ground faults. This study refers to an experimental loop line operated by ENEL Distribuzione, the largest Italian Distribution System Operator (DSO). The paper deals with the behavior of the currently installed line protection during cross-country faults (CCFs), occurring both in radial and loop lines. MV network response has been preliminary evaluated by approximated formula (which allow a fast check of line protection performances), and then verified by accurate simulations based on a detailed Simulink network model. CCFs occurring inside and outside the loop line have been analyzed. Obtained results show that the zero-sequence and phase directional overcurrent (Blocking-Scheme supported) are generally able to selectively identify and clear CCFs. Nevertheless, if CCFs occur in the same overhead stretch of the loop line, the adopted protection scheme may fail.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130972255","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}
Marcel Chuma Cerbantes, J. Mantovani, R. Fernández-Blanco, M. Ortega-Vazquez
{"title":"Optimal short-term operation of a DisCo including voltage-sensitive loads","authors":"Marcel Chuma Cerbantes, J. Mantovani, R. Fernández-Blanco, M. Ortega-Vazquez","doi":"10.1109/PSCC.2016.7540841","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540841","url":null,"abstract":"This paper presents a probabilistic approach for the short-term operation of a distribution company (DisCo) considering voltage-sensitive loads. The DisCo's operational decisions are optimized in a day-ahead operation planning to maximize the difference between the energy sold to consumers and the purchases from the wholesale electricity market and distributed generators. The network is modeled using ac power flow. The DisCo's model also includes technical and economic constraints. The technical constraints represent voltage-sensitive loads, stationary batteries, elastic demand, and physical limits. The economic constraints include the time-varying retail pricing constraints. The resulting model is a large-scale, nonlinear, mixed-integer program. Linearizations are not practical and, tractability and accuracy would be sacrificed. Instead, we propose a solution approach based on Tabu Search capable of handling nonlinearities associated with both the ac power flow model and voltage-sensitive loads. Numerical results from a 69-bus distribution system illustrate the effectiveness of this approach.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"62 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132575287","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":"Multiphase observability analysis in distribution systems state estimation","authors":"F. Magnago, L. Zhang, M. Celik","doi":"10.1109/PSCC.2016.7540999","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540999","url":null,"abstract":"Implementation of a state estimation for distribution networks comprises additional challenges when compared with state estimators used in energy management system for high voltage power system networks. One of these is the formulation and implementation of network observability analysis on multiphase medium and low voltage distribution power networks. This paper presents a systemic method for multiphase observability analysis including identifying observable islands in unbalanced distribution systems state estimation. A tutorial example is provided for the detailed implementation. Simulation results in IEEE test feeders are presented.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126778945","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":"Operation strategies and performance of air-conditioning systems with thermal energy storages in power systems","authors":"Yuchen Tang, J. Zhong","doi":"10.1109/PSCC.2016.7540853","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540853","url":null,"abstract":"Energy storage is one of the most effective measures to overcome the challenges from the massive integration of renewable energy sources (RESs) with high uncertainty. However, there still lacks inexpensive and feasible choices of energy storage for power systems. In this paper, a promising measure of energy storage, namely air-conditioning systems with thermal energy storage, is studied. Different operation strategies are proposed for this type of storage system considering the characteristics and needs of power systems, and the objective of the strategies includes cost minimization, load shifting and providing frequency regulation capacity. Simulation results demonstrate the feasibility and advantage of the storage system, and illustrate the performance of different operation strategies.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127363979","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}
Mengran Yu, A. Roscoe, C. Booth, A. Dyśko, Richard Ierna, Jiebei Zhu, H. Urdal
{"title":"Use of an inertia-less Virtual Synchronous Machine within future power networks with high penetrations of converters","authors":"Mengran Yu, A. Roscoe, C. Booth, A. Dyśko, Richard Ierna, Jiebei Zhu, H. Urdal","doi":"10.1109/PSCC.2016.7540926","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540926","url":null,"abstract":"Conventional converter models for wind turbines and Voltage Source HVDC links, as submitted to System Operators, typically use dq-axis controllers with current injection (DQCI). Recent work carried out by the authors has proven that for DQCI converter-interfaced sources there are overall penetration limits, i.e. the `tipping points' beyond which the system will become unstable. Initial investigations of this “tipping point”, based on a reduced model of the transmission system of Great Britain using phasor simulation within DIgSILENT PowerFactory, are reviewed briefly in this paper. The `tipping points' relating to maximum penetration of DQCI converter-interfaced sources are subsequently investigated in this paper using a higher fidelity three-phase dynamic power system model in Matlab Simulink. Additionally, a new converter controller, termed here as Virtual Synchronous Machine Zero Inertia (VSM0H), is described and implemented in the model. It is shown that, in principle, it is possible to significantly increase the penetration of converter based generation (up to 100% of installed capacity) without reaching a stability constraint.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133080835","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":"Adequacy assessment of future electricity networks","authors":"W. Bukhsh, G. Hawker, K. Bell, T. Bedford","doi":"10.1109/PSCC.2016.7540959","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540959","url":null,"abstract":"Liberalisation of electricity markets, changing patterns in the generation and use of electricity and new technologies are some of the factors that result in increased uncertainty about the future operating conditions of our power system. In this context, planning for future investments in power system requires careful selection and assessment of future operating conditions. This paper revisits the notion of power system adequacy and highlights the need for consideration of some factors that have hitherto tended not to be part of a transmission expansion planning process, in particular in respect of the credible range of possible values of system operating conditions and transitions between successive operating states. Firstly, we present some definitions of power system operational regions. Secondly, we present a stochastic optimisation model that measures the adequacy of a transmission network for given future operating conditions. Uncertainties in demand and generation are modelled using a large number of scenarios. The optimisation model identifies the critical future operating conditions needing the special attention of a power system planner. The proposed model is simulated on a 39-bus network, whereby it is shown that this model can identify critical operating conditions that need the attention of a system planner.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123317097","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":"Synthesis of wind time series for network adequacy assessment","authors":"G. Hawker, W. Bukhsh, S. Gill, K. Bell","doi":"10.1109/PSCC.2016.7540975","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540975","url":null,"abstract":"When representing the stochastic characteristics of wind generators within power system simulations, the spatial and temporal correlations of the wind resource must be correctly modelled to ensure that reserve and network capacity requirements are not underestimated. A methodology for capturing these correlations within a vector auto-regressive (VAR) model is presented, and applied to a large-scale reanalysis dataset of historical wind speed data for the British Isles. This is combined with a wind speed-to-power conversion model trained against historically metered data from wind farms on the Great Britain (GB) electricity system in order to derive a lightweight model for simulating injections of wind power across a transmission network. The model is demonstrated to adequately represent ramp rates, both at a site and network level, as well as the individual correlations between sites, while being suitable for network adequacy studies which may require the simulation of many years of operation.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126537491","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":"Modelling of integrated multi-energy systems: Drivers, requirements, and opportunities","authors":"P. Mancarella, G. Andersson, J. Lopes, K. Bell","doi":"10.1109/PSCC.2016.7541031","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7541031","url":null,"abstract":"There is growing recognition that decarbonisation of existing uses of electricity is only `part of the story' and that closer attention needs to be given to demand for energy in heating or cooling and in transport, and to all the energy vectors and infrastructures that supply the end-use demand. In this respect, concepts such as `multi-energy systems' (MES) have been put forward and are gaining increasing momentum, with the aim of identifying how multiple energy systems that have been traditionally operated, planned and regulated in independent silos can be integrated to improve their collective technical, economic, and environmental performance. This paper addresses the need for modelling of MES which is capable of assessing interactions between different sectors and the energy vectors they are concerned with, so as to bring out the benefits and potential unforeseen or undesired drawbacks arising from energy systems integration. Drivers for MES modelling and the needs of different users of models are discussed, along with some of the practicalities of such modelling, including the choices to be made in respect of spatial and temporal dimensions, what these models might be used to quantify, and how they may be framed mathematically. Examples of existing MES models and tools and their capabilities, as well as of studies in which such models have been used in the authors' own research, are provided to illustrate the general concepts discussed. Finally, challenges, opportunities and recommendations are summarised for the engagement of modellers in developing a new range of analytical capabilities that are needed to deal with the complexity of MES.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126738321","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}