@article{zhu_yan_lu_2017, title={A Graphical Performance-Based Energy Storage Capacity Sizing Method for High Solar Penetration Residential Feeders}, volume={8}, ISSN={["1949-3061"]}, url={http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000391724500001&KeyUID=WOS:000391724500001}, DOI={10.1109/tsg.2016.2577030}, abstractNote={This paper presents a graphical, performance-based energy storage capacity sizing method for residential feeders with high solar penetration levels. The rated power and storage capacity of an energy storage device (ESD) are calculated to fulfill a specified operational requirement. Three locations for installing ESDs are investigated: 1) consumer-owned ESDs inside single-family households; 2) utility-owned distribution transformer-level ESDs; and 3) third-party owned ESDs in a community. First, historical solar radiation data, residential household load data, and residential load models are used for creating the net load (load minus solar generation) ensembles at the house level with resolution of 15 min. Then, a novel graphical capacity selection method using equal probability lines on compressed, composite cumulative distribution function curves is developed for sizing the energy storage needs at the house, distribution transformer, and community levels. Demand-side management methods are investigated for further reducing the need of energy storage. Simulation results demonstrate that the proposed method avoids over- or under-sizing ESDs and allows the users to compare the marginal benefit of increasing the capacity of the ESD.}, number={1}, journal={IEEE TRANSACTIONS ON SMART GRID}, author={Zhu, Xiangqi and Yan, Jiahong and Lu, Ning}, year={2017}, month={Jan}, pages={3–12} }
 @article{jiang_mu_jia_lu_yuan_yan_li_2016, title={A Novel Dominant Mode Estimation Method for Analyzing Inter-Area Oscillation in China Southern Power Grid}, volume={7}, ISSN={["1949-3061"]}, url={http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000391722100038&KeyUID=WOS:000391722100038}, DOI={10.1109/tsg.2016.2533621}, abstractNote={This paper proposes a new approach to estimate dominant mode for monitoring inter-area oscillation in the China Southern power grid (CSG) by the use of phasor measurement units (PMUs) under both ringdown and ambient conditions. The state space model is identified by the data driven stochastic subspace identification (Data-SSI) algorithm. The canonical variate algorithm is used first to construct the weighted projection matrix of the Data-SSI. Then, the criterion for model order selection is developed to estimate the model order, and the linear model of power system is built with Data-SSI. The dominant oscillation modes are calculated by eigenvalue analysis. To accurately identify the dominant modes, repetitive results are calculated with model order variation, and then clustering analysis and stepwise refinement are applied to discriminating the dominant modes from trivial ones to improve the estimation accuracy. Field-measurement data collected by PMUs in CSG is used to validate the proposed algorithm. The comparison between existing mode estimation techniques and the proposed approach demonstrates its accuracy and robustness under both ringdown and ambient conditions.}, number={5}, journal={IEEE TRANSACTIONS ON SMART GRID}, author={Jiang, Tao and Mu, Yunfei and Jia, Hongjie and Lu, Ning and Yuan, Haoyu and Yan, Jiahong and Li, Weifeng}, year={2016}, month={Sep}, pages={2549–2560} }
 @inproceedings{zhu_yan_dong_lu_2016, title={A matlab-based home energy management algorithm development toolbox}, DOI={10.1109/pesgm.2016.7742017}, abstractNote={This paper presents the architecture and modeling approach of a Matlab-based toolbox for developing and testing home energy management (HEM) algorithms under a number of typical operation conditions. This toolbox serves as a developer platform that includes a graphical user interface, a model database, a computational engine, and an input-output database. The model database consists of home appliance models, energy storage models, baseload models, roof-top photovoltaic models, as well as typical weather profiles. The graphical interface allows the users to select different inputs such as utility rate structure, customer comfort settings, solar profiles, and outdoor temperature profiles. The HEM algorithms serve as the computational engines to power the virtual house so that the performance of those algorithms can be evaluated fairly using the same set of inputs and models. Simulation results have demonstrated the effectiveness of the modeling platform when developing HEM algorithms.}, booktitle={2016 ieee power and energy society general meeting (pesgm)}, author={Zhu, X. Q. and Yan, J. H. and Dong, L. N. and Lu, N.}, year={2016} }
 @inproceedings{zhu_yan_lu_2016, title={A probabilistic-based PV and energy storage sizing tool for residential loads}, DOI={10.1109/tdc.2016.7519940}, abstractNote={This paper presents a probabilistic-based sizing tool for residential home owners, load serving entities, and utilities to select energy storage (ES) and photovoltaic (PV) based on historical load characteristics and load management options. The inputs of the tool include historical residential load profiles and solar radiation data. The outputs of the tool include ensembles of the net load profiles (load minus solar), with and without applying load energy management for different PV and ES installation capacities. The operation statistics of the ES is used to determine the confidence levels of meeting selected performance criterion. In the simulation, a set of 1-year, 15-minute data collected from 50 actual residential homes is used as the load inputs. A set of 1-year, 5-minute actual solar radiation data is used as the solar inputs. Managing load consumptions for reducing the size of ES is investigated by controlling air conditioning loads. Simulation results show that the probabilistic-based sizing method can give the users a clear comparison of the tradeoffs among different options and assist them make more informed decisions.}, booktitle={2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)}, author={Zhu, X. Q. and Yan, J. H. and Lu, N.}, year={2016} }
 @inproceedings{yan_zheng_lu_2016, title={Temperature-load sensitivity study for adjusting miso day-ahead load forecast}, DOI={10.1109/pesgm.2016.7741548}, abstractNote={This paper presents the results of a temperature-load sensitivity study carried out at the Midcontinent Independent System Operator (MISO) for adjusting MISO day-ahead load forecast. As the area operated by MISO is growing rapidly, operators at MISO have to examine the day-ahead load forecast results generated by commercial software packages on a daily basis and manually correct anticipated discrepancies to enhance the forecast accuracy. To quantify the adjustment of the forecasted load, a series of temperature-load sensitivity studies are conducted using the actual MISO load data from past 5 years. A piecewise general linear model (GLM) is developed to capture the impact of time-dependent factors and temperature variations on the magnitude of MISO temperature-load sensitivity. A numerical study case compares the results before and after the tuning with the presented temperature-load sensitivity analysis.}, booktitle={2016 ieee power and energy society general meeting (pesgm)}, author={Yan, J. H. and Zheng, H. and Lu, N.}, year={2016} }
 @inproceedings{yan_zhu_lu_2015, title={Smart hybrid house test systems in a solid-state transformer supplied microgrid}, DOI={10.1109/pesgm.2015.7286550}, abstractNote={This paper presents the design and setup, considerations, and preliminary results of an AC/DC hybrid smart house test system. Rapid growth of rooftop photovoltaic (PV) in distribution systems makes it viable to supply a residential home with both AC and DC power sources. Solid-state transformers (SST) used as energy routers for rerouting power during normal and emergency situations are being developed in the FREEDM center at North Carolina State University. To provide a load test system for studying the control and monitoring of such an SST supplied AC/DC mixed power supply system, an 1-SST AC/DC hybrid smart house test system is built. The test system consists of a solid state transformer (SST), on-site photovoltaic panels, energy storage devices and three AC/DC smart houses with a home energy management system (HEMS). A demonstration case is presented to illustrate the operation of the test system for algorithm development and validation.}, booktitle={2015 ieee power & energy society general meeting}, author={Yan, J. H. and Zhu, X. Q. and Lu, N.}, year={2015} }