{"title":"Data-driven analytics for effective energy management and audits of large enterprise","authors":"L. Bule, Alan Tanton, Russell Baillie, N. Nair","doi":"10.1109/APPEEC45492.2019.8994741","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994741","url":null,"abstract":"Energy resources are very important to our daily lives and therefore using these resources in a sustainable way that will not only benefit our environment but also the livelihood of our future generations. Building Energy management is vital for efficient usage of energy resources especially space heating and cooling for large enterprises. Energy report provides an indication of baselines, irregular consumption patterns and areas for improvements. Energy audits and energy reports are costly for any organization such as the University of Auckland (UoA) with a large number of building facilities to operate and maintain. Energy consumption over a period has close correlation with season and the weather. Degree-day method is a simple and quick exercise to identify normal and irregular heating and cooling demand and hence reduce cost and indirect environment impacts. Buildings HVAC load have energy signature generated using historical energy consumption and weather data. The UoA building energy demand is the subject of the case study in this research to display how newer data analytics can help understand better energy utilization in a typical large-scale enterprise, which have several distributed sites and functional behaviors. Historical energy consumption and weather data by statistical analysis to produce ‘Heating Degree and Cooling Degree Days’ and comparisons with heating capacity for 33 buildings operated by UoA Building Facilities Management has been undertaken and reported in this paper.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"598 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116560147","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":"Maintenance Scheduling of Distribution Reclosers Using RCM Techniques","authors":"Nutniti Walliyamethee, K. Hongesombut","doi":"10.1109/APPEEC45492.2019.8994729","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994729","url":null,"abstract":"At present, the maintenance of most reclosers uses time-based maintenance (TBM) strategies due to its easy plan for the maintenance schedule. However, the maintenance of such strategies is a relatively high cost due to unnecessary and redundant maintenance activities. Moreover, TBM cannot prevent some failure modes resulting in malfunctions before the maintenance cycle. To solve the above-mentioned problems, this paper presents a method of determining the maintenance scheduling of the reclosers using reliability-centered maintenance (RCM). The RCM is a way to define the maintenance schedule according to the critical level of each recloser by considering the results of the condition assessment, together with the importance of the reclosers. The 9-condition assessment criteria and the 2-importance assessment criteria have been established. The proposed method is applied to the distribution reclosers from the Phitsanulok 3 substation of the Provincial Electricity Authority (PEA). It is found from the study results that the proposed method provides the critical level of each recloser, the maintenance schedule can be grouped and set up appropriately.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122497333","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}
Wenhui Zhang, Hua Huang, Ran Chen, Lu Liu, Yingiie Yan
{"title":"Research on the Disturbance Detection Method Based on Random Matrix Eigenvalue","authors":"Wenhui Zhang, Hua Huang, Ran Chen, Lu Liu, Yingiie Yan","doi":"10.1109/APPEEC45492.2019.8994366","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994366","url":null,"abstract":"Traditional anomaly detection has some shortcomings, such as time delay, low sensitivity and lack of overall situation. The wide area measurement system (WAMS) and synchronous phase measurement unit (PMU) that can be widely applied can improve the anomaly detection level of distribution network. The maximum and minimum eigenvalue method of random matrix is first applied in the field of cognitive radio to detect weak signals in radio networks. An algorithm for anomaly detection of distribution network based on the maximum and minimum eigenvalue method is proposed in the paper. The method adopts the global sampling data of PMU to detect anomaly of distribution network in real time, so as to improve the detection sensitivity. The algorithm and its threshold are deduced through theoretical analysis. The effectiveness and feasibility of the method are verified by simulation of short-circuit anomaly and harmonic anomaly. Case analysis shows that this method can detect disturbance signal quickly, sensitively and accurately, and has good robustness.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114609455","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}
Changfeng Liao, Yi Tan, Yong Li, Yijia Cao, Y. Wen
{"title":"Linear Models of the VSC-MTDC Systems with the Droop Controls for Power Flow Analysis","authors":"Changfeng Liao, Yi Tan, Yong Li, Yijia Cao, Y. Wen","doi":"10.1109/APPEEC45492.2019.8994597","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994597","url":null,"abstract":"The DC droop control would introduce nonlinearities to the power flow analysis of hybrid AC and DC systems, making the calculation and optimization of such complex hybrid systems more intractable. To tackle this issue, we propose a technique to linearize the voltage source converter based multi-terminal DC (VSC-MTDC) system model with different droop controls (e.g., voltage-power and voltage-current droop controls). The novel linear DC system models could be easily embedded into the unified power flow analysis of the hybrid AC and DC systems. Based on this, we furthermore describe a linear power flow model for the hybrid AC and DC systems with droop control, which is much easier to be solved due to the linear nature. Finally, the accuracy of the proposed linear power flow model is verified on several hybrid AC and DC systems with different sizes.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121912764","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":"Photovoltaic System Performance Model for Output Power Forecasting","authors":"A. Chan, E. Q. B. Macabebe","doi":"10.1109/APPEEC45492.2019.8994607","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994607","url":null,"abstract":"One of the challenges of using photovoltaic (PV) energy is its intermittent nature. Due to this, managing the electrical grid network becomes difficult. Hence, it is important to be able to predict the output power of a PV system. Being able to do so would help plant managers to effectively manage the supply of energy to meet the demand. In this study a photovoltaic system model composed of a PV array model, a DC cable model, and an inverter model was developed, and was used in conjunction with an irradiance forecasting algorithm to predict the output power of a 1 kW grid-connected photovoltaic system. A total of three system models were evaluated, each differing in the inverter model used. When using measured irradiance as input to the system models, the best model obtained a root mean square error (RMSE) of 32.957 W and a coefficient of determination (R2) of 0.978. When using predicted irradiance as input to the system models, the best model obtained an RMSE ofllS.041 W and an R2 of 0.710.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129417887","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":"Integral Sliding Mode Compound Control Strategy for Quasi-Z Source Grid-Connected Inverter","authors":"Pan Meichen, Chen Caixue, Zhang Da","doi":"10.1109/APPEEC45492.2019.8994538","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994538","url":null,"abstract":"In order to improve the robustness and increase the fast response, a novel current controller with the integral sliding mode control and quasi-PR control is proposed for the quasi-Z source inverter (qZSI). Firstly, the state space equations of the qZSI are established. Secondly, the sliding surface of the proposed controller is built. In the same time, the stable, existence and arrival conditions of the sliding surface are derived. Thirdly, a compound control strategy has been analysis analyzed. Finally, a MATLAB model is built. The simulation results verify the proposed controller can achieve a faster dynamic response and realize stable compared to the traditional PI controller.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128255375","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}
Qing Ding, Yang Yu, Hao Yao, Xiao Yuan, Xiaofan Zhu, Kai Ding, Rui Chen, Deqiang Gong, SaiLi Wang, W. Xi, Yuming Zhao
{"title":"Research on SOC Weighted Control Method of Energy Storage System Based on Fuzzy Logic Control Theory","authors":"Qing Ding, Yang Yu, Hao Yao, Xiao Yuan, Xiaofan Zhu, Kai Ding, Rui Chen, Deqiang Gong, SaiLi Wang, W. Xi, Yuming Zhao","doi":"10.1109/APPEEC45492.2019.8994608","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994608","url":null,"abstract":"The equalization system is a key technology in the large-capacity energy storage management system. The existing active equalization and passive equalization can only control the capacity and voltage deviation inside the module (cluster). Although the balance of the SOC in the cluster is realized by the transfer or consumption of the energy in the batteries, the system topology of the large-capacity energy storage is complex and the number of batteries is large. For the entire energy storage system, the overall SOC balance must be considered especially when the system power output demand is close to or exceeds the rated power of the system. The short board cluster will limit the output power capabilities of the overall system. Aiming at the SOC balance of large-capacity energy storage system, this paper allocates the power command sent by the energy storage controller to the energy storage system according to the SOC weighted control algorithm of the fuzzy logic control theory. Through the power control of the bidirectional DC/DC converter, the battery pack whose cluster SOC value is higher than the average value discharge more power in the discharge phase, and the battery pack with SOC value lower than the average value absorbs more energy in the charging stage, resulting the capacity consistency of the battery clusters. Also, the specific implementation steps achieving the SOC weighed control based on Fuzzy logic theory has been illustrated in detail.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128635443","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":"Identification and Location for Phase-to-Ground Fault with Magnetic Sensing in Power Distribution Network: Principle and Practical Implementation","authors":"Ke Zhu, K. Lam, W. T. Philip Pong","doi":"10.1109/APPEEC45492.2019.8994382","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994382","url":null,"abstract":"Power distribution cables are the core of a power distribution network in the power system. Phase-to-ground faults account for around 70% of all faults in a power distribution network, and thus their identification and location are essential for the reliability and efficiency of a power system. In this paper, a current-measurement technique with magnetic sensing and computational intelligence for a power distribution cable is proposed, which can reconstruct the fault current while retaining its DC offset. From the DC component, the phase-to-ground fault and faulty phase can be identified accordingly. The technique also enables the double-ended current method to locate the fault since current measurement can then be implemented with magnetic sensors at both ends of the cable at a much lower cost than using current transformers. The implementing procedure of this method is presented for guiding its application in practical scenarios. The technique is envisioned to enhance the situational awareness of the smart grid.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129361345","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":"Partial curtailment to firm photovoltaic generation dispatch","authors":"K. Keeratimahat, A. Bruce, I. MacGill","doi":"10.1109/APPEEC45492.2019.8994464","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994464","url":null,"abstract":"Growing utility-scale photovoltaic (PV) generation brings new challenges in short-term operational management. Their variable and somewhat unpredictable generation adds to supply-demand imbalance, while displacing the conventional generation generally used to provide frequency regulation. One possible solution is for variable renewable energy plants to reduce their variability within dispatch intervals. With suitable incentives, these plants can be partially curtailed to maintain a reduced yet firmer output. This study investigates the potential of utility PV plants to provide firmer dispatched generation according to varying solar resource availability. It uses historical 4-second SCADA output from a number of Australian utility PV plants. The level of partial curtailment for reasonably stable dispatch generation is found to be the second standard deviation of the output uncertainty. The high uncertainty in PV plant output under common weather conditions makes firm dispatch challenging to achieve even if the weather conditions are known and involves significant curtailment levels.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123883107","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":"Power Efficiency Analysis of a Three-phase Inverter for a BLDC Motor Drive with Varying Speeds and Load Torques","authors":"Yong Keun Lee, Jong Kwang Kim","doi":"10.1109/APPEEC45492.2019.8994445","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994445","url":null,"abstract":"The power efficiency of a three-phase inverter for a BLDC motor drive is analyzed theoretically and experimentally with varying rotor speeds and load torques to elucidate the effect of the rotor speed and load torque on the power efficiency. Based on the theoretical analysis and the simulation/experimental results, the power efficiency is not affected by the rotor speed but by the load torque. As the load torque increases, the power efficiency is found to decrease.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123959032","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}