Availability Index Research Articles

Determination of Power Transformers Health Index Using Parameters Affecting the Transformer’s Life

Power transformers are one of the most important parts of a power system, and they are crucial to the system's reliability and energy quality. The “health index” idea is used in this research to evaluate and classify transformers based on their conditions in order to optimize transformer upgrading and replacement decisions. And the transformer is inspected and maintained from various angles by collecting the transformer’s health factor and utilizing the number of this indicator to determine when and how often the transformer should be inspected and maintained. Finally, the health index described in this paper is utilized to review and regularly classify transformers based on their states and improve the renovation replacement method by applying the fuzzy logic method to research this coefficient precisely. The fuzzy health index used in this work has the advantage of being able to be trained using past transformer data. When the training is complete, it can be applied to other transformers, with the goal of achieving optimal functioning for transformers while considering cost and dependability. The specific results of the present article indicate that the health index criterion presented in this article has a high degree of certainty regarding the selection, arrangement, and timing of maintenance and service steps in the evaluated transformers. In addition, when comparing the proposed method to the conventional method for seven sample transformers, the system availability index of the proposed method improved by about 40%.It also had about 25% higher reliability than the conventional method for 7 sample transformers.

Modified Reliability Assessment Method for Analysis of Cyber-Physical System Consisting IEEE 24 Bus System Parallel with Cyber Network

ABSTRACT With the transformation from a traditional, rural, and agrarian society to a secular, urban, and industrial society and competitive environment, the rise in the power demand and supply makes it difficult to meet the customer’s expectations and needs. It has become necessary that the electric utility industry make sure they have accurate information about system performance and reliability. The paper presents four different cases through which the reliability of the electric distribution system is studied by calculating customer-oriented indices and load-oriented indices. The assessment is carried out using Modified Reliability Assessment Method (MRAM) on IEEE 24 bus system using MATLAB simulation, and the indicators of reliability analysis such as System Average Interruption Frequency Index (SIAFI), System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI), Average Service Availability Index (ASAI), Average Service Unavailability Index (ASUI), Energy Not Supplied index (ENS), Average Energy Not Supplied (AENS), Annual Customer Interruptions (ACI), and Customer Interruption Duration (CID) are evaluated. Moreover, the impact of the inclusion of cyber networks in the traditional system is also taken into consideration to determine the system’s reliability. Also, the result shows that the parallel combination is more superior to the other one.

Photovoltaic distributed generation integrated electrical distribution system for development of sustainable energy using reliability assessment indices and levelized cost of electricity

AbstractReliability assessment index is one of the main performance indicator for analyzing the impact of distributed energy generation system in the utility distribution system and minimize the costs associated with energy interruptions. In this study, sustainable energy development by using integrated photovoltaic distributed generation (DG) system considering reliability assessment indices and levelized cost of energy are presented. Electrical transient and analysis program simulation software are used for evaluation and assessment of the reliability indices based on the failure rate, average annual power interruption/outage time and repair time. The analytical method are used to evaluate the expected interruption cost (ECOST) of the system. HelioScope software is a photovoltaic simulation tool are used to design and calculate the energy generation (kWh) as well as global horizontal irradiation (kWh/m2) of the photovoltaic system. Experimental test system is a radial distribution network consisting of an 11.0 kV feeder emanating from 132.0 kV distribution grid station Satiana. According to the reliability evaluation and assessment of experimental test system before integration of photovoltaic distributed energy generation, the average service availability index (ASAI) is 0.9648 per unit. Then, the expected energy not supplied (EENS) is 772.0308 MWh per year and ECOST is 386,652,468.18 PKR per year. After integration of Photovoltaic DG, ASAI is 0.9741 per unit, then the EENS is 563.8584 MWh per year and integration ECOST is 227,087,143.39 PKR per year. The results showed that integrated PV DG system improve the reliability of conventional energy distribution systems.

Are Sunken Warships Biodiversity Havens for Corals?

Coral reefs are threatened by climate change, overfishing, and pollution. Artificial reefs may provide havens for corals, both to escape warming surface waters and to assist in the geographic migration of corals to more habitable natural reef conditions of the future. The largest artificial reefs have been generated by nearly 2000 shipwrecks around the world, but the coral diversity on these wrecks is virtually unknown. Ship size and hull material, location relative to natural reef, time since sinking, ocean currents, and water depth may affect coral diversity. As a test of the biodiversity capacity of very large sunken structures relative to surrounding natural reef, we carried out technical diver-based surveys to quantify genus-level coral diversity on 29 warships sunk in Bikini Atoll and Chuuk Lagoon. We also assessed whether ship length, as an index of substrate availability, and water depth, as an indicator of light and temperature, can serve as predictors of coral diversity. We surveyed a total of 9105 scleractinian corals. The total number of genera identified at Bikini was 34, and at Chuuk it was 51, representing 67% and 72% of genera found on natural reefs at Bikini and Chuuk, respectively. Ship length, but not water depth, was positively correlated with relative abundance and richness at the genus level. Our results suggest that very large wrecks can serve as havens for reef-building corals with a broad genetic diversity, expressed at the genus level, commensurate with corals found on neighboring natural reefs. The role of large artificial reefs could include protecting coral biodiversity from warming surface waters.

A copula incorporated cellular automata module for modeling the spatial distribution of oasis recovered by ecological water diversion: An application to the Qingtu Oasis in Shiyang River basin, China

Assessing the impact of ecological water diversion on oasis restoration is critical for water resources and environmental management in arid inland basins. This study proposed a copula incorporated cellular automata (CA) module for modeling the oasis’s spatial distribution driven by ecological water diversion. Given the effects of groundwater depth and community expansion on oasis evolution, a water availability index and a neighbor vegetation index were proposed. These two indices were joint using the Clayton copula function, producing a vegetation suitability index that quantified vegetation growth’s habitat quality and provided the CA module’s basis to identify cellular categories. The CA module was integrated into a previously developed conceptual lumped ecohydrological model (CLEM), resulting in an improved CA-CLEM that outputted groundwater depth, oasis area, oasis NDVI, and oasis distribution data. The CLEM provided the oasis area changes for the CA module, which specified the spatial distribution of these changes. The CA-CLEM had a simple structure, low computation cost, and good performance, indicated by the application in the Shiyang River basin in Northwest China. Results show that an ecological water diversion of 30 million m3, with an average groundwater depth of 2.95 m, an oasis area of 25 km2, and an oasis NDVI of 0.36, would successfully recover the terminal Qingtu Oasis in 2020. The oasis distribution and its dynamic evolution processes were irregular because of the spatial heterogeneity of vegetation habitat suitability. The present Qingtu Oasis was fragile, and its sustainability relied on ecological water diversion. The reduction in water diversion would cause water table decline, oasis area shrinkage, vegetation degradation, and oasis fragmentation. The CA-CLEM combined with scenario analysis provides practical and reliable implications for managers and policymakers to improve ecological water diversion strategies.

PEMETAAN KETAHANAN PANGAN BERDASARKAN ASPEK KETERSEDIAAN PANGAN DI KOTA PEKANBARU PROPINSI RIAU

Food availability is food available from natural sources either through food production, cultivating the land, or by other of obtaining food, such as fishing or gathering food. Food availability is important and a priority for food security in Pekanbaru City. The purpose of this research is to map food security based on the aspect of food availability in Pekanbaru City. This research was conducted using the literature study method, used secondary data. Data analysis using FSQ (Food Security Quotient). The results of the study, using calculation of Food Security Quotient (FSQ) in Pekanbaru City, for variables of production and harvested area with a category is very food safe, the commodity is soybeans. Variable food needs, commodities with very safe categories are rice; sweet potato; and peanuts. The aspect of food availability in Pekanbaru City is included in category point V, which is very food safe. The food availability index in Pekanbaru City is a very food-secure condition.

The Impacts of Drought on the Health and Demography of Eastern Grey Kangaroos.

Simple SummaryEastern grey kangaroos, like most wildlife, are facing an increasingly uncertain future under rapid climate change. How individuals and populations cope with extreme climatic events will influence their capacity to adapt and persist. Here, we analyzed how drought impacted eastern grey kangaroo populations by focusing on their body condition, demography, activity rates at water points, and the likelihood of parasitic infections. We found that body condition was lower as environmental conditions became more extreme and that fewer males in the population were observed. The proportion of juveniles within the population increased as more favorable conditions returned. Kangaroos with poor body conditions were more likely to become hosts to ticks, while higher parasite egg burdens in scats occurred in autumn. Our study has shown that the impacts eastern grey kangaroos face during climatic events such as drought can be severe and may have long-term consequences.Extreme climatic events such as droughts and floods are expected to become more intense and severe under climate change, especially in the southern and eastern parts of Australia. We aimed to quantify the relationship between body condition scores (BCS), demography, activity rate, and parasitic infections of eastern grey kangaroos on a large conservation property under different climate extremes by employing camera traps established at artificial water points (AWPs). The survey period included a severe drought, broken by a significant flooding event. Climatic and environmental conditions were documented using remotely sensed indices of moisture availability and vegetation productivity. These conditions were found to affect all health and population parameters measured. BCS, juvenile proportions, and sex ratios were most correlated with 6-month lags in climatic conditions, while the activity rate of kangaroos at AWPs was most correlated with vegetation productivity. Ticks were mostly found on individuals with a poorer BCS, while the concentration of parasitic eggs in feces was higher in autumn than in spring. Our study offers a glimpse into some of the environmental drivers of eastern grey kangaroo populations and their health, information that may become increasingly important in today’s climate. It further emphasizes the importance of this knowledge for wildlife conservation efforts appropriate to managing the impact of climate change alongside other threats.

Efficiency of MGDA and GLDA ligands in extracting plant-available Zn from calcareous soils: kinetics and optimization of extraction conditions

The selection of an appropriate soil nutrient-availability index, exhibiting high correlations with crop responses, is the first step in a soil-testing program. This study aimed to test if the quantity and rate of zinc (Zn) release from calcareous soils by two new extracting ligands provide suitable Zn availability indices for maize (Zea mays L.) or not. To this end, Zn extraction from diverse calcareous soils by three concentrations (0.005, 0.05, and 0.1 mol L−1) of glutamic acid N,N-diacetic acid (GLDA) and methylglycinediacetic acid (MGDA) ligands with different shaking times were studied. A greenhouse pot experiment was also conducted to determine how Zn absorption by maize plants is correlated to the quantity and rate of Zn release from the soils. The result showed that the initial Zn release rates from the soils were significantly (r = 0.77 to 0.94, P < 0.05) correlated to plant Zn uptake. The results of the greenhouse correlation study also revealed that Zn uptake by maize represented the highest correlations with the amount of Zn extracted from soils by 0.05 M GLDA for 2 h (r = 0.87, P < 0.05), 0.05 M MGDA for 1 h (r = 0.86, P < 0.05), and 0.005 M MGDA for 0.5 h (r = 0.84, P < 0.05). These correlations were stronger than those obtained between the DTPA-extractable soil Zn and plant Zn uptake (r = 0.77, P < 0.05). Based on the finding of this study, both quantity and rate of Zn release from the soil by MGDA and GLDA ligands could be satisfactorily considered as Zn availability indices for maize in calcareous soils.

Effect of forest logging on food availability, suitable nesting habitat, nest density and spatial pattern of a Neotropical parrot

Secondary cavity nesters, bird species that rely on the presence of existing cavities, are highly vulnerable to anthropogenic and stochastic processes that reduce the availability of cavity bearing trees. The most common logging practice in Neotropical forests is selective logging, where a few valuable tree species are logged, primarily old, large trees that are the most prone to develop cavities and produce larger amounts of fruits and seeds. Tucuman Amazon, Amazona tucumana, is a threatened parrot that relies on the tree-cavities and food provided by large, old trees. Our objective was to evaluate how logging affects 1) stand and nest plot forest structure, 2) nesting site selection, 3) food availability, 4) density of suitable cavities, 5) nest density, and 6) nest spatial pattern of Tucuman Amazon by comparing a mature undisturbed forest in a National Park (NP) vs a logged forest (LF). We determined the availability of suitable cavities and food resources consumed by Tucuman Amazon, and we compared nest density and spatial pattern of nests between NP vs LF. The Index of food availability for all tree species consumed by Tucuman Amazon and for P. parlatorei were significantly higher in NP than in LF (34.5 ± 13.3 m ha−1 vs. 3.5 ± 1.0 m ha−1 and 5.6 ± 2.3 m ha−1 vs. 1.2 ± 1.0 m ha−1, respectively). Density of suitable cavities for nesting in the NP was significantly higher than in the LF: 4.6 cavities ha−1 [C.I. 95 %: 3.07 – 7.04 cavities ha−1] vs. 1.1 cavities ha−1 [C.I. 95 %: 0.73 – 1.66 cavities ha−1], respectively. Mean density of Tucuman Amazon nests was significantly higher in the NP than in LF (0.25 ± 0.04 vs. 0.06 ± 0.04 nest ha−1, respectively). Food availability is an important factor that affects Tucuman Amazon populations and when food is not limiting, the availability of suitable cavities and territorial behavior could play a role in regulating nest density. When evaluating the limiting factors for secondary cavity-nesting species of conservation concern it is important to evaluate the interplay of a set of potential limiting factors to propose sound forest management recommendations.

Potential Utilization of Oil Palm Plantation Waste Supports Beef Cattle Development in West Sulawesi

West Sulawesi Province has oil palm plantation areas that have the potential to be integrated with beef cattle. This study aims to collect data on feed availability from oil palm plantation waste and the carrying capacity of beef cattle development in West Sulawesi Province. The research method used is the desk study method that uses secondary data from Statistics Indonesia in 2022 related to oil palm plantations, palm oil production, and beef cattle populations, as well as research data relevant to this study. The data collected were analyzed descriptively. The results showed that West Sulawesi Province has oil palm plantation areas in 4 districts (Polewali Mandar, Mamuju, Central Mamuju, and Pasangkayu). The availability of dry matter from the plantation and palm oil processing waste is 479,554.04 Tons DM/year with a capacity of 210,330.72 LU/Year and can meet the needs of 317.61% of the beef cattle population from four districts. The index of feed availability from palm oil waste was highest in Pasangkayu Regency, with dry matter production of 11,298.8 tons DM/year. West Sulawesi Province has the potential to support the development of beef cattle with an integrated system of palm oil and cattle.

Soil fauna communities and microbial activities response to litter and soil properties under degraded and restored forests of Hyrcania

Reforestation has long been the best practice to restore degraded forests due to human interventions. In this paper we investigated the effect of forest degradation (DNF) along with reforestation using 4 endemic species (Alnus subcordata, ASP; Acer velutinum, AVP; Cupressus sempervirens, CSP; Quercus castaneifolia Mey, QCP) on forest’s soil chemical and biological indicators compared to a close-to-virgin natural forest (VNF). For this study, a total of 24 physico-chemical and 25 biological and microbial indicators were measured in soils of all 6 forest stands along with the litter properties. Results showed that the lowest soil quality was observed under DNF, CSP, and QCP which was the result of forest cover degradation in DNF and low litter quality, especially low pH and high C:N, in CSP and QCP. Soil fauna communities were significantly affected by tree species. We found two times higher density of earthworms in VNF compared to ASP, but in DNF the density was 5 times lower than VNF. We found no epigeic earthworms in QCP, CSP and DNF and no endogeic earthworms in DNF. Acarina and Collembola density was high in VNF and ASP, but they showed significant differences (VNF>ASP), and their density sharply decreased in other stands, especially in CSP (3 times lower than VNF) and DNF (8 to 10 times lower than VNF). Nematode density was statistically equal in VNF, ASP, and AVP, but significantly lower in other stands. Protozoa, bacteria and fungi densities were significantly higher in VNF and ASP (VNF>ASP) compared to each other and other forest stands. Basal respiration, substrate induced respiration, microbial biomass N and P, and carbon availability index was also higher in VNF and ASP compared to other stands. Although VNF has the best condition because of old forest cover and high diversity, ASP soil showed significant improvements, demonstrating the importance of litter quality in soil restoration. Restoration effectiveness ranking of the four tested species on soil improvement are therefore ASP>AVP>QCP>CSP. The significant improvement of soil quality under ASP compared to other reforestated stands, only after 3 decades, emphasizes the importance of tree species selection and litter quality on soil chemical and biological restoration.

Markov Analysis of Water Discharge as an Indicator of Surface Water Security of the Bandung Basin

Water security is the fulfillment of access to adequate and sustainable water needs (quantity and quality) for the growth of human and ecosystem life and the ability to reduce risks associated with water. By knowing the water security of an area, efforts to conserve, utilize, control destructive force, develop information systems and participate in the community can be assessed to what extent and how the management has been carried out. The purpose of this research is to formulate the amount of water availability per capita (quantity) of surface water and to determine the quantity of the worst water quality at a critical time (the worst quantity) to be used as a reference in determining the amount of water resistance for development. The only observed water quality was the BOD (Biological Oxygen Demand) organic pollutant value in the dry year in the dry season using the Markov Chain Method. Water security in the Bandung Basin is currently classified as bad (rare) because the water availability index figures only indicate 174 m3 per capita per year (quantity). Meanwhile, data on the quality value of BOD (Biological Oxygen Demand) pollutants in dry years (R5) of 129 mg/l and very dry years (R10) of 112 mg/l which has also exceeded the class I quality standard of PP No. 22/2021 (&gt; 2 mg/l) regarding water quality management and pollution control which is designated for raw water needs drinking water. Changing water use patterns and promoting effective implementation of integrated water resources management are essential strategies for increasing water security in Indonesia.

Multidimensional Assessment and Alleviation of Global Energy Poverty Aligned With UN SDG 7

There are increasing concerns that energy poverty across nations is weakening the global efforts toward achieving Sustainable Development Goals (SDGs). A systematic assessment of energy poverty is, therefore, essential to track the spatiotemporal pattern of SDG 7 and monitor the global efforts in alleviating energy poverty. This article develops the first Multidimensional Energy Poverty Assessment Index (MEAI), incorporating energy availability, affordability, and efficiency applicable to quantify the spatiotemporal dynamics of energy poverty development at global, regional, and national scales. Our analyses indicate that the overall MEAI and indices in all dimensions decreased from 2001 to 2016 at a global level with energy affordability experiencing the highest decline. The MEAI at the national level declines within the same period, showing significant regional heterogeneity in terms of the sub-index. Energy efficiency in developed and less-developed regions is characterized by high carbon emissions and low energy modernization, respectively. The energy availability indices are lower in developed nations and in nations with abundant energy resources. Overall, our results highlight a sudden increase in MEAI for Central America in 2014 and a gradual decline in MEAI for East Asia during 2014–2016. A call for regional actions is critically needed to solve energy poverty from different facets.

GIS-Based Land Suitability Classification for Wheat Cultivation Using Fuzzy Set Model

In terms of food safety, it is important to use the lands correctly in agricultural production. In this study, potential crop suitability classes for wheat cultivation were created by using the fuzzy model and GIS together. Spatial and spectral factors considered as model inputs were separated four main groups, such as soil (drainage, depth, texture, CaCO3, stoniness, pH, organic matter, salinity, ESP), topography (slope), water availability (irrigation) and vegetation indices (NDVI). Criterion maps were standardized with the fuzzy membership model. Analytical Hierarchy Process was used to determine the weights of the factors. The vegetation change between years in the study area was determined by using NDVI values obtained from Landsat satellite images. In addition, the effect of temporal difference on land use and land suitability was evaluated. Land suitability index was created in GIS environment by weighted linear combination method and divided into four main suitability classes. The results with the Fuzzy method showed 9.7% (805 ha) of the study area as highly suitable for wheat, 46.5% (3868 ha) as medium suitable, 27.6% (2297 ha) as marginally suitable and 16.2% (1350 ha) as unsuitable. According to these classes, highly suitable and medium suitable classes are the areas that should be evaluated primarily in agricultural production. The Fuzzy model and GIS integration can be effectively used to identify priority areas for crop cultivation and sustainable land use management.

Availability and Accessibility of Urban Green Spaces in a High-Density City: The Case of Raipur, India

Urban green spaces (UGS) can counter the ill effects of urbanization in high-density cities. Studies related to these aspects are rare in Indian cities, however. This article aims to assess the availability and accessibility of UGS in Raipur, India. The objectives are to identify the status of UGS alteration, determine the status of available UGS, and identify the optimum population density for which UGS can be made available and accessible. Land use change detection, fragmentation index, availability index, UGS per capita, and neighborhood accessibility are used to assess aspects of UGS. The results show an increase in built-up area (24.32 percent) from 2010 to 2020. They also show a decrease in the UGS availability index and an increase in the fragmentation index from the city center to the outskirts. Uneven distribution of UGS categories is found all over the studied urban area. Low-density areas have more UGS per capita available than high-density areas, whereas medium-high-density areas have the maximum UGS accessibility. The study concludes with density-wise implications to maximize the UGS benefits and identifies medium-high density as the optimum density that allows high accessibility to the available UGS.

APPROACHES TO ASSESSING TRANSPORT ACCESSIBILITY IN MEGACITIES: APPLYING GEOMARKETING TECHNIQUES

The article is devoted to the issues of modeling the accessibility of public transport and the formation of its criteria by using geographic information systems (GIS). The paper presents an analysis of the relationship between transport development and the development of large cities. The article analyzes the world and domestic experience of using transport availability indices in urban planning policy: public transport accessibility indices; a model of transit-oriented development, examples of its practical application in various cities worldwide.&#x0D; &#x0D; Based on the study of a number of methods based on objective and subjective assessments of the level of transport accessibility, it was concluded that there is currently no universal methodology for a comprehensive assessment of the transport accessibility in megalopolises (objective and perceived). The modern possibilities of solving the tasks set by geomarketing technology based on the use of big data are identified.&#x0D; &#x0D; The practical significance of the results obtained by the authors is due to the possibility of forming, on the basis of the studied methods, a system for analyzing the transport accessibility of capital objects in Moscow, differentiating the level of transport accessibility for different groups of the population.

Influence of soil inorganic amendments on heavy metal accumulation by leafy vegetables.

The present study aims to assess the effect of four inorganic soil amendments, such as lime (CaCO3), red mud consisting of 75% hematite (Fe2O3), gypsum (CaSO4·2H2O), and Al oxide (Al2O3), of an alkaline heavy metal-contaminated soil. For this purpose, a pot experiment was conducted by physically mixing individual six subsamples of a soil sample collected from Thessaly area with four inorganic soil amendments along with two leafy plants, spinach and lettuce. Al oxide causes the maximum reduction of the water-soluble Cu concentration, as its concentrations is no longer detectable. The Cu availability index decreases when aluminum oxide was used. The use of gypsum and red mud caused almost equal reduction while the smallest decrease was caused by the use of lime. The Zn availability index decreased equally when aluminum oxide and gypsum were mixed with the soil sample. The highest reduction of Cu and Zn transfer coefficient (TC) was observed when the Al2O3 was used. In spinach, Zn TC reduction was 39.8% and Cu TC reduction was 41.0%. In lettuce, the addition of Al2O3 led to Cu TC reduction of over 37.3% and Zn TC reduction of up to 38.7%. Generally, Al2O3 nanoparticles may function as suitable sorbents for the removal of Zn and Cu from soil samples, with an increasing effectiveness in spinach rather than lettuce. Liming materials seem to increase the soil alkalinity and promote the complexation of soluble heavy metals with hydroxide ions leading to immobilization of heavy metals in soil and reduce their amount in leafy vegetables. Remediation of contaminated soils is considered necessary to reduce environmental risks and to achieve the means available to increase agricultural production of safe and quality food.

Analysis of rainfall characteristics and moisture availability index for crop planning in semi arid region of north Gujarat

The rainfall, one of the most important natural input resource for dryland agricultural production system, is erratic and temporal in nature. An attempt has been made to analyze thirty years (1990-2019) of meteorological data for prediction of probable week of onset and withdrawal of monsoon and to end with crop planning in North Gujarat region (India).The highest and lowest amount of weekly rainfall was observed in 27th and 39th SMW, respectively. The probability distribution functions viz. generalized extreme value, Gumbel maximum, Gamma and Weibull were found best-fit for prediction of weekly rainfall. The analysis revealed 26th SMW (25 Jun – 01 Jul) and onwards as the most suited sowing time of kharif crops. There are also chances of occurrence of moisture stress during 34th and 35th SMW. The results would be useful for agricultural scientists, researchers, decision makers and policy planners in the field of agricultural crop planning and irrigation management for semi arid regions.

Access Data Analysis Technology and Implementation of Electric Power Big Data Achievement Sharing Platform through Artificial Intelligence

With the rapid development of the information age, the data generated by all walks of life is showing an increasing trend of “blowout”. According to statistics, the total amount of data generated by mankind in the past 40,000 years is less than the total amount of data generated from 2010 to 2013 alone. The global big data reserves reached 8.61ZB in 2015 alone, and the growth of data in the future will reach an unpredictable value, entering the data age in an all-round way. Traditional power data computing technology and intelligent analysis technology are undergoing profound changes, and emerging big data intelligent analysis platforms are gradually emerging. With the in-depth development of power informatization and the concept of smart grid, the power industry data has grown exponentially, and the business demand for intelligent analysis of large amounts of power data is increasing day by day. Therefore, the access data analysis technology and realization of the power big data achievement sharing platform based on AI is of great significance. The AI-based power big data achievement sharing platform constructed in this article is a research on previous data analysis, and it aims to use the current cutting-edge artificial intelligence technology to build a scalable and highly available power big data analysis and processing platform to provide fast and reliable smart data services for the power industry, smart grid and other grid businesses. Research has shown that the overall availability of the ultrasonic partial discharge recognition system of the artificial intelligence-based electric power big data achievement sharing platform is 99.9967%, which meets the high availability index requirements, and verified that the artificial intelligence-based power big data achievement sharing platform provides highly available computing, storage and other services for its applications.

Application of System Reliability Indices in Electric Power System

System reliability indices deal with the adequacy of overall system supply and indicates the system behaviour and response. The index express interruption statistics in terms of the customers which can be an individual, firm, or organization that purchases electric services at one location under one rate classification, contract or schedule. The system reliability indices include: System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI), Average Service Availability Index (ASAI), Average Service Unavailability Index (ASUI), Expected Energy Not Supplied (EENS) and Average Energy Not Supplied (AENS). These indices are used as performance evaluation for power system reliability assessment. This assessment helps in system planning for long and short terms. This study therefore focuses reviewed past study on application of SAIFI, SAIDI and CAIDI for system reliability assessment on electric power system. These indices imply how often an average customer experiences sustained interruption over a predefined time of year and they are most used reliability indices for power system. Keywords: Reliability Indices, SAIDI, SAIFI, CAIDI, ASAI, ASUI, AENS, Reliability Assessment. DOI: 10.7176/JETP/11-6-03 Publication date: November 30 th 2021