I. Lampropoulos, P. Garoufalis, P. V. D. Bosch, R. Groot, W. Kling
{"title":"Day-ahead economic scheduling of energy storage","authors":"I. Lampropoulos, P. Garoufalis, P. V. D. Bosch, R. Groot, W. Kling","doi":"10.1109/PSCC.2014.7038356","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038356","url":null,"abstract":"This article addresses the day-ahead economic optimisation of energy storage systems within the setting of electricity spot markets. The case study is about a lithium-ion battery system integrated in a low voltage distribution grid with residential customers and photovoltaic generation in the Netherlands, whereas the optimisation objective is to maximise revenues from energy arbitrage in the day-ahead auction. Assuming accurate predictions of the photovoltaic generation, the residential load and the market clearing prices, the constrained optimisation problem is formulated as the minimisation of a cost function, and is solved by utilising an internal model of the battery system to plan the future response of the charging and discharging process. Emphasis is given on the effect of the system efficiency, which significantly impacts the economic performance due to energy losses during the charging and discharging cycles.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127013277","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":"A novel framework to define the premium for investment in complementary renewable projects","authors":"A. C. Passos, A. Street, Bruno Fanzeres, S. Bruno","doi":"10.1109/PSCC.2014.7038450","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038450","url":null,"abstract":"The joint investment in renewable sources can be seen as an efficient mechanism for mitigating the risk of generation investors. This article presents an innovative framework to calculate the premium of the option to invest in complementary renewable energy projects. To calculate this option value, the framework merges two models: the first is a hybrid robust and stochastic optimization model that defines the project value and percentage of each source in the portfolio; the second is the well-known Least Square Monte Carlo (LSM) simulation approach to evaluate American options. The results of this article intend to stimulate independent investors to take advantage of complementary renewable projects and government sectorial institutions, defining suitable incentives and policies.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126127257","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":"Wide area measurements based robust power system controller design","authors":"Masayuki Watanabe, M. Yamashita, Y. Mitani","doi":"10.1109/PSCC.2014.7038434","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038434","url":null,"abstract":"This paper presents a method for the tuning of a power system stabilizer (PSS) for damping inter-area low-frequency oscillations based on wide area phasor measurements and robust controller design with the linear matrix inequality (LMI) approach. The dynamics of a power system is identified as an approximate model based on voltage phasors obtained by the wide area measurement system (WAMS). Then, a PSS is designed by applying LMI approach on the approximate model. The inter-area mode should be damped effectively by a well-tuned PSS based on the state monitoring with the modeling error compensation considered. The proposed method has been applied to a simple two-area power system model to demonstrate the effectiveness of this approach.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126029670","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":"Security constrained OPF incorporating corrective control of HVDC","authors":"Spyros Chatzivasileiadis, G. Andersson","doi":"10.1109/PSCC.2014.7038443","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038443","url":null,"abstract":"This paper introduces linear current distribution factors for use in: (a) SCOPF formulations, and (b) in analytical approximations of corrective control actions for HVDC lines. These are relationships based on complex numbers, which can be used in the context of full AC power flow equations. Three distribution factors are introduced: the linear AC outage distribution factor (LOCDF), the current distribution factor (CDF), and a linear factor which expresses the effect of HVDC corrective control actions on the line currents. Through case studies we show that the accuracy of the proposed linear factors is comparable to existing, more complex, methods. We further demonstrate their applicability in an SCOPF problem, incorporating the corrective control capabilities of HVDC. The use of the proposed linear factors results in faster computation times, as they can be precomputed before the execution of the SCOPF algorithm. Furthermore, taking advantage of their linear properties, we introduce an approximate analytical solution for corrective control of HVDC lines. We apply this closed form relationship on a case study for line outages.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124836005","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":"Evaluation of modeling and simulation complexity on studying the impacts of electrical vehicles fleets in distribution systems","authors":"Chenjie Ma, F. Marten, James Tobermann, M. Braun","doi":"10.1109/PSCC.2014.7038401","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038401","url":null,"abstract":"Evaluations of possible grid impacts from electric vehicles have been published extensively during the past years. Different parameters and assumptions of simulation models are used in these studies. In this work it is investigated if the evaluations of grid impacts can be affected by simulation parameters and modeling complexity. Possible consequences from varying simulation parameters are analyzed at a worst case scenario and randomly generated charging scenarios. For evaluation of minimal voltages or grid losses, smaller time steps and more sophisticated models lead to more precise results. These findings will be used in upcoming works on real time simulator design, for defining study scenarios and choosing proper simulation models.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124310912","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":"Efficient allocation of balancing and ramping costs","authors":"T. Haring, D. Kirschen, G. Andersson","doi":"10.1109/PSCC.2014.7038425","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038425","url":null,"abstract":"Electricity market designs must evolve to incorporate efficiently the large-scale penetration of renewable energy sources and demand side participation. Current renewable energy support schemes and fixed tariff systems fail to address two major power system operation issues and therefore create additional system costs. First, unlike other commodity markets, the provision of reserve capacity is required for reliable operation. Second, power system operation is stressed by increasing flexibility requirements. One way to reduce these costs is to share the costs of ramping and reserve capacity between consumers, producers and the system operator. We present a market mechanism that reduces the cost of reserve capacity and the cost of ramping in a Pareto-efficient manner. Simulation studies demonstrate the cost reduction that this mechanism achieves as compared with a benchmark approach.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122484434","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}
Scott G. Ghiocel, J. Chow, D. Bertagnolli, Michael P. Razanousky, G. Stefopoulos, B. Fardanesh, D. Maragal, M. Swider, D. Sobajic
{"title":"Phasor-measurement-based voltage stability margin calculation for a power transfer interface with multiple injections and transfer paths","authors":"Scott G. Ghiocel, J. Chow, D. Bertagnolli, Michael P. Razanousky, G. Stefopoulos, B. Fardanesh, D. Maragal, M. Swider, D. Sobajic","doi":"10.1109/PSCC.2014.7038431","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038431","url":null,"abstract":"For complex power transfer interfaces or load areas with multiple in-feeds, we present a method for phasor-measurement-based calculation of voltage stability margins. In the case of complex transfer paths with multiple injections, a radial system approach may not be sufficient for voltage stability analysis. Our approach provides voltage stability margins considering the full fidelity of the transfer paths. In this paper, we extend a previously proposed phasor-measurement-based approach [1] and apply it to a voltage stability-limited power transfer interface using synchronized phasor measurements from loss-of-generation disturbance events. Previous work employed a simple radial system [2] or modeled a power transfer interface using only one generator [1]. In our approach, we use the PMU data to model multiple external injections that share the power transfer increase, and we employ a modified AQ-bus power flow method to compute the steady-state voltage stability margins [3]. We demonstrate the method using real PMU data from disturbance events in the US Eastern Interconnection.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"473 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116593759","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}
Yan Li, P. Wouters, P. Wagenaars, P. V. D. Wielen, E. Steennis
{"title":"Single-sided partial discharge location method based on impedance discontinuities along power cable","authors":"Yan Li, P. Wouters, P. Wagenaars, P. V. D. Wielen, E. Steennis","doi":"10.1109/PSCC.2014.7038502","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038502","url":null,"abstract":"Time domain reflectometry (TDR) applied to live cables is hampered by the absence of a clear reflection from the far end. Instead, location of partial discharge (PD) can be extracted from small structures in recorded patterns arising from any impedance variation along the signal propagation channel. This paper explores two approaches for a single-sided PD location system. The first method compares similar signal sequences occurring in PD pattern and pattern obtained from an injected signal. The second method exploits the change of impedance at a far end Ring Main Unit (RMU) by introducing ferrite material, whose effect can be switched on and off. Experiment on medium voltage (MV) cable with about 560 m length shows that both methods can locate the PD within 2% uncertainty.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122287836","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":"Techno-economic assessment of flexible combined heat and power plant with Carbon Capture and Storage","authors":"Adrien Saint-Pierre, P. Mancarella","doi":"10.1109/PSCC.2014.7038449","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038449","url":null,"abstract":"As Carbon Capture and Storage (CCS) is now regarded as on its way to become a mature technology to reduce dramatically CO2 emissions from conventional generation, its economic ineffectiveness may still be preventing its large-scale adoption. In this respect, new strategies for flexible operation of Carbon Capture and Storage systems could bring substantial benefits allowing achieving both ambitious CO2 reductions and higher profits. In addition, further economic and environmental benefits could be achieved by adopting high efficiency Combined Heat and Power (CHP) plants. On these premises, this paper investigates the benefits of coupling a flexible CCS system and a flexible CHP plant, with the aim of deploying the flexibility available in both CCS and CHP to consume/produce more or less electricity in response to market conditions. A mathematical model is developed to maximise profit responding to volatile market prices by optimally switching the CCS and CHP plants between different operating modes. The effectiveness and the usefulness of the proposed model are demonstrated on a realistic case study with extensive sensitivity analyses.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132600933","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}
Stavros Karagiannopoulos, E. Vrettos, P. C. Lopez, Maria Vrakopoulou, F. Oldewurtel, G. Andersson, M. Zima
{"title":"On geographical allocation of primary frequency control reserves in large interconnected power systems","authors":"Stavros Karagiannopoulos, E. Vrettos, P. C. Lopez, Maria Vrakopoulou, F. Oldewurtel, G. Andersson, M. Zima","doi":"10.1109/PSCC.2014.7038412","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038412","url":null,"abstract":"In this paper, we propose a simulation-based method for primary control reserve (PCR) reallocation in large power systems, taking into account the variability of renewable energy sources' (RES) in-feed. Our goal is to identify technically feasible pairwise PCR reallocations between generally non-neighboring control areas (CAs). To achieve this goal, we use network snapshots that represent different grid states in terms of topology, conventional generation, and demand. Given a large amount of historical weather data, we apply copula theory to create a reasonable number of synthetic RES in-feed scenarios, which we then combine with the network snapshots. The resulting synthetic snapshots are used to evaluate different PCR allocations based on an N-1 security assessment considering generator outages as contingencies. The secure reallocations are evaluated using as indicator the post-contingency loading of all lines of the network after PCR activation. A key aspect of the proposed method is that it is designed to be tractable for realistic network sizes up to several thousands of buses and lines. We demonstrate how the method can be applied considering the European interconnected system as a case study. We use real network snapshots coming from the European network of transmission system operators for electricity (ENTSO-E), and official weather data to model RES production. With this setup, we perform two investigations: (a) we provide insights on the amount of PCRs that can be securely reallocated between any two CAs in the European system, and (b) we investigate in detail three specific PCR reallocation strategies from Belgium, Spain, and Austria to Switzerland.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"82 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134155986","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}