50 research outputs found
Main Line Fault Localization Methodology in Smart Grid - Part 3: Main Line Fault Localization Methodology (MLFLM)
No full textSince the main distribution line faults can be securely identified as outlined in the first and second paper, this third paper presents the methodology of localizing the main distribution line fault when broadband over power lines (BPL) networks have already been deployed across the distribution power grids. The main issue of this paper is the detailed presentation of the main line localization methodology (MLFLM) as well as well as its performance assessment when measurement differences occur.The contribution of this paper, which is focused on the application of MLFLM, is double. First, the procedure, which is followed in order to create the database of faults and is used by MLFLM, is here analytically presented. This database is based on the application of the main distribution line fault identification percentage metric (MDLFI) to coupling reflection coefficients of all possible fault OV MV BPL topologies (modified OV MV BPL topologies). Second, the performance assessment of MLFLM is investigated with respect to the nature of the measurement differences and the location of main distribution line faults across the distribution power grid.Citation: Lazaropoulos, A. (2017). Main Line Fault Localization Methodology in Smart Grid – Part 3: Main Line Fault Localization Methodology (MLFLM). Trends in Renewable Energy, 3(3), 62-81. doi:http://dx.doi.org/10.17737/tre.2017.3.3.003
Main Line Fault Localization Methodology (MLFLM) in Smart Grid - The Underground Medium- and Low-Voltage Broadband over Power Lines Networks Case
No full textThis paper assesses the performance of the main line fault localization methodology (MLFLM) when its application is extended to underground medium- and low-voltage broadband over power lines (UN MV and UN LV BPL) networks, say UN distribution BPL networks. This paper focuses on the localization of main distribution line faults across UV MV and UN LV BPL networks. By extending the MLFLM procedure, which has successfully been applied to overhead medium-voltage (OV MV) BPL networks, the performance assessment of MLFLM is investigated with respect to the nature of the main distribution line faults, the intensity of the measurement differences and the fault location across the main distribution lines of the underground distribution power grid (either MV or LV grid).Citation: Lazaropoulos, A. (2017). Main Line Fault Localization Methodology (MLFLM) in Smart Grid - The Underground Medium- and Low-Voltage Broadband over Power Lines Networks Case.Trends in Renewable Energy, 4(1), 15-42. doi:http://dx.doi.org/10.17737/tre.2018.4.1.004
Broadband Performance Metrics and Regression Approximations of the New Coupling Schemes for Distribution Broadband over Power Lines (BPL) Networks
No full textThis paper assesses the broadband performance of overhead (OV) and underground (UN) low-voltage (LV) and medium-voltage (MV) broadband over power lines (BPL) networks when the new refined Coupling Scheme module (CS2 module) is adopted. The broadband performance of distribution BPL networks is assessed in terms of their Average Channel Gain (ACG), Root-Mean-Square Delay-Spread (RMS-DS), Coherence Bandwidth (CB) and Spectral Efficiency (SE). Also, corresponding regression approximations (i.e., UN1, UN2 and UN3 approaches) are given in the examined BPL frequency range. The aforementioned broadband performance metrics of the application of CS2 module are compared against the relative ones of the vintage CS1 module and of MIMO channels. The analysis and relevant numerical results outline: (i) the important improvement of the aforementioned performance metrics and regression approximations when CS2 module is applied in distribution BPL networks instead of CS1 module; and (ii) the universal role of UN1, UN2 and UN3 approaches for describing coupling scheme channels and MIMO ones.Citation: Lazaropoulos, A. (2018). Broadband Performance Metrics and Regression Approximations of the New Coupling Schemes for Distribution Broadband over Power Lines (BPL) Networks.Trends in Renewable Energy, 4(1), 43-73. doi:http://dx.doi.org/10.17737/tre.2018.4.1.005
Improvement of Power Systems Stability by Applying Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) - Study of the Overhead Medium-Voltage Broadband over Power Lines (OV MV BPL) Networks Case
No full textThe performance of two useful piecewise monotonic data approximation (PMA) applications that are Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) is investigated in this paper for the overhead medium-voltage broadband over power lines (OV MV BPL) networks. TIM and FIIM are applied to OV MV BPL networks when measurement differences, faults and instabilities occur. By exploiting the L1PMA optimal number of monotonic sections, advanced TIM and FIIM are also proposed and applied to OV MV BPL networks. The results of the four PMA applications are compared and it is found that advanced TIM and FIIM achieve higher computational speeds and almost equivalent identification performance in comparison with the respective original TIM and FIIM. Exploiting the better performance metrics of advanced TIM and FIIM, PMA applications provide a stable step towards the real time surveillance and monitoring of transmission and distribution power grid.Citation: Lazaropoulos, A. (2017). Improvement of Power Systems Stability by Applying Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) - Study of the Overhead Medium-Voltage Broadband over Power Lines (OV MV BPL) Networks Case. Trends in Renewable Energy, 3(2), 102-128. doi:http://dx.doi.org/10.17737/tre.2017.3.2.003
Power Systems Stability through Piecewise Monotonic Data Approximations - Part 1: Comparative Benchmarking of L1PMA, L2WPMA and L2CXCV in Overhead Medium-Voltage Broadband over Power Lines Networks
No full textThis first paper assesses the performance of three well-known piecewise monotonic data approximations (i.e., L1PMA, L2WPMA, and L2CXCV) during the mitigation of measurement differences in the overhead medium-voltage broadband over power lines (OV MV BPL) transfer functions.The contribution of this paper is triple. First, based on the inherent piecewise monotonicity of OV MV BPL transfer functions, L2WPMA and L2CXCV are outlined and applied during the determination of theoretical and measured OV MVBPL transfer functions. Second, L1PMA, L2WPMA, and L2CXCV are comparatively benchmarked by using the performance metrics of the percent error sum (PES) and fault PES. PES and fault PES assess the efficiency and accuracy of the three piecewise monotonic data approximations during the determination of transmission BPL transfer functions. Third, the performance of L1PMA, L2WPMA, and L2CXCV is assessed with respect to the nature of faults (i.e., faults that follow either continuous uniform distribution (CUD) or normal distribution (ND) of different magnitudes).The goal of this set of two papers is the establishment of a more effective identification and restoration of the measurement differences during the OV MV BPL coupling transfer function determination that may significantly help towards a more stable and self-healing power system.Citation: Lazaropoulos, A. (2017). Power Systems Stability through Piecewise Monotonic Data Approximations - Part 1: Comparative Benchmarking of L1PMA, L2WPMA and L2CXCV in Overhead Medium-Voltage Broadband over Power Lines Networks. Trends in Renewable Energy, 3(1), 2-32. doi:http://dx.doi.org/10.17737/tre.2017.3.1.002
Main Line Fault Localization Methodology in Smart Grid - Part 2: Extended TM2 Method, Measurement Differences and L1 Piecewise Monotonic Data Approximation for the Overhead Medium-Voltage Broadband over Power Lines Networks Case
No full textEnriching the fault identification methodology of the first paper, this second paper investigates the performance of the identification of main distribution line faults when broadband over power lines (BPL) networks are deployed. The main issue that is concerned in this paper is the impact of measurement differences on the fault identification process performance.The main contribution of this paper, which is focused on the identification of the main distribution line faults when measurement differences occur, is the application of the L1 piecewise monotonic data approximation (l1PMA) in order to cope with the measurement differences that influence the reflection coefficients derived from the extended TM2 method. Through the L1PMA application, measurement differences are confronted in order to prevent the trigger of a false alarm about the existence of a main distribution line fault. The combined operation of the extended TM2 method and L1PMA concludes the introductory phase (fault identification) of the main line fault localization methodology (MLFLM).Citation: Lazaropoulos, A. (2017). Main Line Fault Localization Methodology in Smart Grid – Part 2: Extended TM2 Method, Measurement Differences and L1 Piecewise Monotonic Data Approximation for the Overhead Medium-Voltage Broadband over Power Lines Networks Case. Trends in Renewable Energy, 3(3), 26-61. doi:http://dx.doi.org/10.17737/tre.2017.3.3.003
Financially Stimulating Local Economies by Exploiting Communities' Microgrids: Power Trading and Hybrid Techno-Economic (HTE) Model
No full textThis paper thoroughly considers the potential of installing microgrids (MGs) in communities that suffer from the economic crisis in order to financially stimulate their local economies. Exploiting the state-of-the-art evolutions in the fields of the MG technology, the Hybrid Techno-Economic (HTE) model is proposed as a suitable techno-economic tool for assessing the power generation/consumption behaviour and the financial performance of these communities' MGs.The contribution of this paper is four-fold. First, the HTE model is presented. HTE model describes a theoretical analysis that is suitable for studying communities' MGs. Appropriately concatenating one well-validated technical module and one new economic module, the HTE model quickly and conveniently reveals the power generation/consumption and economic profile of community's MGs. Second, HTE model is integrated through an extended portfolio of power and financial metrics. The applied metrics study the influence of generation and consumption power changes on community's MGs. The validity and the efficiency of the HTE model are examined with respect to these power changes while the impact of these changes on the power and cash flows of community's MGs are assessed. Third, a cost-benefit analysis of the operation of community's MGs accompanied with a financial stability analysis is also demonstrated. The main outcome of these analyses is the daily total benefit (TB) of community's MGs with its respective financial bounds. Fourth, the contribution of the energy arbitrage and the power production mix among available power sources of community's MGs to the daily TB is investigated.Apart from promoting the ecological awareness, this paper tries to become a catching argument for the communities in order to exploit the community's MGs.Citation: Lazaropoulos, A., & Lazaropoulos, P. (2015). Financially Stimulating Local Economies by Exploiting Communities' Microgrids: Power Trading and Hybrid Techno-Economic (HTE) Model. Trends in Renewable Energy, 1(3), 131-184. doi:http://dx.doi.org/10.17737/tre.2015.1.3.001
Main Line Fault Localization Methodology in Smart Grid - Part 1: Extended TM2 Method for the Overhead Medium-Voltage Broadband over Power Lines Networks Case
No full textThese three papers cover the overall methodology for the identification and localization of faults that occur in main transmission and distribution lines when broadband over power lines (BPL) networks are deployed across the transmission and distribution power grids, respectively. In fact, this fault case is the only one that cannot be handled by the combined operation of Topology Identification Methodology (TIM) and Instability Identification Methodology (FIIM). After the phase of identification of main distribution line faults, which is presented in this paper, the main line fault localization methodology (MLFLM) is applied in order to localize the faults in overhead medium-voltage BPL (OV MV BPL) networks.The main contribution of this paper, which is focused on the identification of the main distribution line faults, is the presentation of TM2 method extension through the adoption of coupling reflection coefficients. Extended TM2 method is analyzed in order to identify a main distribution line fault regardless of its nature (i.e., short- or open-circuit termination). The behavior of the extended TM2 method is assessed in terms of the main line fault nature and, then, its results are compared against the respective ones during the normal operation, which are given by the original TM2 method, when different main distribution line fault scenarios occur. Extended TM2 method acts as the introductory phase (fault identification) of MLFLM.Citation: Lazaropoulos, A. (2017). Main Line Fault Localization Methodology in Smart Grid - Part 1: Extended TM2 Method for the Overhead Medium-Voltage Broadband over Power Lines Networks Case. Trends in Renewable Energy, 3(3), 2-25. doi:http://dx.doi.org/10.17737/tre.2017.3.3.003
Business Analytics and IT in Smart Grid - Part 2: The Qualitative Mitigation Impact of Piecewise Monotonic Data Approximations on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies Contaminated by Measurement Differences
No full textBusiness analytics and IT infrastructure preserve the integrity of the smart grid (SG) operation against the flood of big data that may be susceptible to faults, such as measurement differences. In [1], the impact of measurement differences that follow continuous uniform distributions (CUDs) of different magnitudes has been investigated via initial Statistical Hybrid Model (iSHM) footprints during the operation of overhead low-voltage broadband over power lines (OV LV BPL) networks. In this companion paper, the mitigation efficiency of piecewise monotonic data approximations, such as L1PMA and L2WPMA, is qualitatively assessed in terms of iSHM footprints when the aforementioned measurement difference CUD of different intensities are applied.Citation: Lazaropoulos, A. (2020). Business Analytics and IT in Smart Grid - Part 2: The Qualitative Mitigation Impact of Piecewise Monotonic Data Approximations on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies Contaminated by Measurement Differences. Trends in Renewable Energy, 6(2), 187-213. doi:http://dx.doi.org/10.17737/tre.2020.6.2.0011
Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks - Part 2: L1PMA, L2WPMA and L2CXCV for SE against Measurement Differences in Overhead Medium-Voltage BPL Networks
No full textThis second paper assesses the performance of piecewise monotonic data approximations, such as L1PMA, L2WPMA and L2CXCV, against the measurement differences during the spectral efficiency (SE) calculations in overhead medium-voltage broadband over power lines (OV MV BPL) networks. In this case study paper, the performance of the aforementioned three already known piecewise monotonic data approximations, which are considered as countermeasure techniques against measurement differences, is here extended during the SE computations. The indicative BPL topologies of the first paper are again considered while the 3-30 MHz frequency band of the BPL operation is assumed.Citation: Lazaropoulos, A. (2018). Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks - Part 2: L1PMA, L2WPMA and L2CXCV for SE against Measurement Differences in Overhead Medium-Voltage BPL Networks. Trends in Renewable Energy, 4(2), 185-212. doi:http://dx.doi.org/10.17737/tre.2018.4.2.007
