{"title":"Interlinked hybrid microgrids with fault confining capability using a novel MMC topology","authors":"A. Sallam, M. Nassar, R. Hamdy, M. Salama","doi":"10.1109/EPEC.2017.8286228","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286228","url":null,"abstract":"This paper presents a solution for the fault current elevation in interlinked hybrid microgrids. In hybrid ac-dc microgrids, the control strategy of the interlinking converter allows the distributed generators (DGs) in either microgrid to respond to any load changes in the other microgrid. This load sharing strategy result in a contribution from all DGs to the fault current in either microgrid. Therefore, a new methodology to eliminate the fault current contribution between interlinked hybrid microgrids is proposed in this work. This methodology quarantines the fault inside each microgrid and thus prevents the other microgrid from contributing to the fault current through blocking any continuous current paths. A novel Modular Multilevel Converter (MMC) topology called Modified Switched Capacitor Submodule (MSCSM) has been used to realize the fault confining strategy. A case study has been implemented to prove the effectiveness of the proposed methodology in confining the fault within its zone and preventing any inter-microgrids contribution. The results show the successful converter operation regards blocking any current contribution from the ac-microgrid when a fault occurs in the dc-microgrid thus the fault was effectively quarantined in the dc-microgrid.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121580704","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":"Multi-agent coordination of distributed energy storage systems for mitigating renewable energy resources high ramp-rate issues","authors":"Nader A. El-Taweel, H. Farag","doi":"10.1109/EPEC.2017.8286199","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286199","url":null,"abstract":"This paper proposes a multi-agent control scheme in order to coordinate between distributed battery energy storage systems (BESS) and renewable distributed generation (DG) units in distribution networks. The proposed control scheme aims to utilize BESSs as distributed voltage controllers across the distribution network, in such a way to overcome the intermittent high-ramp rate of renewable DG units. To that end, the voltage control in distribution networks is formulated as a distributed constraint satisfaction problem (DisCSP). An asynchronous weak commitment approach is utilized to solve the formulated problem. Several case studies are carried out to test the effectiveness and performance of the proposed algorithm under different operating conditions.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123327525","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":"Short-term load forecasting based on higher order partial least squares (HOPLS)","authors":"Jiangfeng Jiang, Gengfeng Li, Z. Bie, Huan Xu","doi":"10.1109/EPEC.2017.8286222","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286222","url":null,"abstract":"The load forecasting plays a more and more important role in the operation of the power system and the demand side. However, artificial intelligence techniques are complex in the short-term forecasting. For this purpose, this paper proposes the load forecasting model based on higher order partial least squares, which is much simpler than artificial intelligence techniques in complexity. Considering the nonlinear relationship between dependent variables and independent variables, an extended input tensor is employed in the load forecasting model. Finally, load data of year 2015 in the ISO New England is used to verify the rationality and feasibility of proposed method. Simulation results of four days that belong to four seasons separately have shown that the proposed model is very suitable for short-term load forecasting.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121113064","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":"Kalman filter-based maximum power point tracking for PV energy resources supplying DC microgrid","authors":"H. AbdEl-Gawad, V. Sood","doi":"10.1109/EPEC.2017.8286161","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286161","url":null,"abstract":"The variable output from a PV array needs to be maximized with a MPPT algorithm. Numerous algorithms exist but have some difficulties when faced with rapid changes in environmental conditions that affect the PV output. In this paper a novel algorithm using a Kalman Filter is developed. Matlab simulations show that the algorithm is capable of tracking the PV output for maximizing the power. Comparison with the traditional Perturb and Observe (P&O) MPPT method show the superior performance of the KF algorithm.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128402692","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":"Fixed head hydrothermal scheduling incorporating wind energy by Khums optimization algorithm","authors":"Z. Hasan, M. El-Hawary","doi":"10.1109/EPEC.2017.8286208","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286208","url":null,"abstract":"This paper proposes a new algorithm called Khums Optimization Algorithm (KOA) to solve the fixed head hydrothermal scheduling problem incorporating wind energy (HTSIW) uncertainty. In the hydrothermal scheduling (HT) problem, finding the optimal power allocation of the load among the available thermal unit and hydro units for a period of time aiming to minimize the thermal units total fuel cost. There are many constraints in the HT problem such as real power balance, thermal generation unit power limit constraint and hydro generation unit power limit constraint, water discharge rate, spillage discharge rate, starting storage volume and ending storage volume. In this paper, KOA is used to solve the HTSIW problem for two bench mark systems, then a comparison will be done between the results of both algorithms with other algorithms in literature if possible.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130735216","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":"Dynamic performance and small-signal analysis of a DC-DC step-up converter with high-gain output rectifier for offshore wind turbines","authors":"Mehdi Abbasi, J. Lam","doi":"10.1109/EPEC.2017.8286216","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286216","url":null,"abstract":"This paper presents the modeling and dynamic analysis of a DC-DC step-up soft switching converter with high-gain high-frequency output rectifier for medium voltage (MV) DC grid for offshore wind energy systems. First, the dynamic model of the converter with duty ratio control is discussed. Then a modified phasor transformation of the circuit is presented for the DC/DC step-up converter with variable frequency control. Analytical expression of the system transfer function is also provided to design the close-loop control system. Simulation results are given to verify the analytical analysis and the equivalent circuit model of the circuit on a 2.5kV/25kV, 500kW converter system.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130794996","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 new modified maximum power extraction technique for wind and hybrid renewable energy systems","authors":"Kajanan Kanathipan, J. Lam","doi":"10.1109/EPEC.2017.8286211","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286211","url":null,"abstract":"The power extracted from solar and wind energy systems vary with the change of the weather, reducing the efficiency of the system. As a result, an energy efficient method is required to locate the optimal operating point to extract the maximal amount of energy under different atmospheric conditions. This paper proposed a modified perturb and observe maximum power point tracking controller for wind and solar-wind hybrid energy systems. The controller uses a modified fixed perturb and observe method to reach MPP by varying the duty cycle of each input module. Results are provided on a 200W wind system as well as a 400W solar-wind energy system with varying irradiation intensity and wind speed to highlight the merits of the work.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130906981","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 microgrid protection scheme using differential and adaptive overcurrent relays","authors":"K. Wheeler, S. Faried, M. Elsamahy","doi":"10.1109/EPEC.2017.8286150","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286150","url":null,"abstract":"This paper proposes a hybrid adaptive overcurrent and differential protection scheme to deal with the drastic changes in microgrid short circuit current characteristics following shifts between grid and islanded operational modes. The scheme proposes using adaptive overcurrent relays to protect individual load points or feeders while using differential relays to protect load buses or backbone feeders in order to reduce infrastructure upgrade requirements and setting computation complexity. In the context of this paper, multiple time-domain simulations are conducted to determine the efficiency of the proposed scheme in protecting a microgrid network while operating in grid or islanded modes. Time domain simulations for validation purposes have been conducted using a typical microgrid test network in the EMTP-RV software environment.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132961890","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}
I. Vidanalage, B. Venkatesh, R. Torquato, W. Freitas
{"title":"Scheduling of electrical vehicle charging for a charging facility with single charger","authors":"I. Vidanalage, B. Venkatesh, R. Torquato, W. Freitas","doi":"10.1109/EPEC.2017.8286240","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286240","url":null,"abstract":"This paper proposes an algorithm to develop an optimum Electric Vehicle (EV) charging schedule for a charging facility with a single charger. Although there are many researches to address the developing of an optimum schedule for EV charging, current methods do not address this problem from the charging facility owner's perspective. We use a hybrid system framework to capture the tradeoff between demand charges proportional to the peak demand and speed of charging. However, this hybrid framework leads to a nonconvex and non-differentiable problem. This challenge is overcome by decomposing the problem into multiple smaller and simpler constrained convex optimization problems. With the resulting convex model proposed here, the minimum cost day ahead EV charging schedule can be determined from the charging facility owner's perspective. By using this tool, a day ahead, charging facility owner has the ability to set up prices based on the cost and customer has the ability to know the prices, the total waiting and the charging time at the charging facility. The nonlinear cost optimization model was developed by using a backward recursive algorithm. The proposed algorithm has been analyzed for different penalty factors which were imposed on total waiting time of each EV. Final results are analyzed and discussed.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132475693","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":"Impact of the penetration levels of PV and synchronous machine based DG sources on the reliability of a microgrid","authors":"Prajjwal Gautam, K. Wheeler, R. Karki, S. Faried","doi":"10.1109/EPEC.2017.8286171","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286171","url":null,"abstract":"This paper investigates the effect of varying photovoltaic and synchronous machine based distributed generation source type penetrations on the reliability of a microgrid. An investigation into the effect of varying the percentage penetrations of photovoltaic and traditional generation sources on the load point reliability indices in a microgrid is conducted under fluctuating solar energy and loading conditions. In the context of this paper, an assessment of the reliability worth for each penetration condition is conducted with consideration to customer outage and environmental costs. Assessments are conducted on a typical microgrid test network utilizing an analytical method based on failure mode and effect analysis approach.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"56 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132693007","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}