04653nam 2200985z- 450 991058020430332120231214133242.0(CKB)5690000000012047(oapen)https://directory.doabooks.org/handle/20.500.12854/87492(EXLCZ)99569000000001204720202207d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSituation Awareness for Smart Distribution SystemsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (214 p.)3-0365-4525-5 3-0365-4526-3 In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas.Technology: general issuesbicsscHistory of engineering & technologybicssccommunity integrated energy systemenergy managementuser dominated demand side responseconditional value-at-riskelectric heatingload forecastingthermal comfortattention mechanismLSTM neural networksmart distribution networksituation awarenesshigh-quality operation and maintenancecritical technologycomprehensive frameworkdistributionally robust optimization (DRO)integrated energy system (IES)joint chance constraintslinear decision rules (LDRs)Wasserstein distanceload disaggregationdenoising auto-encoderREDD datasetTraceBase datasetmachine learningsecondary equipmentCNNshort text classificationelectric vehicleshort-term load forecastingconvolutional neural networktemporal convolutional networkclimate factorscorrelation analysissustainable wind-PV-hydrogen-storage microgridpower-to-hydrogenreceding horizon optimizationstoragephotovoltaic (PV) systemDC series arc faultpower spectrum estimationattentional mechanismlightweight convolutional neural networkcapacity configurationwind-photovoltaic-thermal power systemcarbon emissionmulti-objective optimizationinertia security regionTechnology: general issuesHistory of engineering & technologyGe Leijiaoedt1297583Yan JunedtSun YonghuiedtWang ZhongguanedtGe LeijiaoothYan JunothSun YonghuiothWang ZhongguanothBOOK9910580204303321Situation Awareness for Smart Distribution Systems3024575UNINA