Applications of Big Data and AI in Electric Power Systems Engineering

The production, transmission, and distribution of energy can only be made stable and continuous by detailed analysis of the data. The energy demand needs to be met by a number of optimization algorithms during the distribution of the generated energy. The pricing of the energy supplied to the users and the change for investments according to the demand hours led to the formation of energy exchanges. This use costs varies for active or reactive powers. All of these supply-demand and pricing plans can only be achieved by collecting and analyzing data at each stage. In the study, an electrical power line with real parameters was modeled and fault scenarios were created, and faults were determined by artificial intelligence methods. In this study, both the power flow of electrical power systems and the methods of meeting the demands were investigated with big data, machine learning, and artificial neural network approaches.

Typical engineering design of potato micro-sprinkler irrigation in Northern Shanxi

The Loess Plateau in the northern part of Shanxi Province has uneven rainfall and large evaporation, so droughts often occur. The drought has restricted the development of the local planting industry and the economy. Micro sprinkler irrigation has the advantages of strong adaptability, saving water, saving labor and land, increasing production, and preventing salinization, which is very suitable for this area. This micro-sprinkler irrigation design is carried out in typical plots, based on potato plant characteristics, rainfall data over the years, combined with corresponding specifications and actual conditions. This article uses a refraction micro-sprinkler with a spray diameter of 2.4 m. In the water transmission and distribution network, underground pipelines share 1,860 m of main pipes and sub-main pipes; surface pipelines share 1,200 m of branch pipes and 90,000 m of capillary pipes. The design meets the verification indicators of all irrigation groups, conforms to local actual conditions.

Smart Grid Technology Prospect of Implementation in Bangladesh

The term "smart grid" refers to the transformation of the traditional electric power grid into a modern grid. Modernization of the present electric power system is an important step to implement the Smart Grid technology. The structure of the existing power sector in Bangladesh is almost a hundred years old. Due to which the power sector of Bangladesh facing huge power wastage. A Smart Grid also ensures the efficient transmission and distribution of electric power. This paper gives a brief description of Smart Grid, the latest trends, challenges, prospects, cost analysis of smart grid equipment, and its facility. The spotlight of this paper is to implement the Smart Grid's perspective to Bangladesh. That’s included to have new distributed generation technology, smart meter, a pilot project, etc. Also, the main objective of this paper is the comprehensive development of transmission and distribution loss reduction, which will be saving a big amount of capital every year. And that will play a huge role in the economy of Bangladesh to move forward in global progress.

TGTDCL Prepaid Domestic Gas Metering System & Reduction of System Loss in the Energy Sector of Bangladesh

Titas Gas Transmission and Distribution Company Limited (TGTDCL) is the largest gas transmission and distribution company in Bangladesh. The company undertook a pilot project in July 2005 to implement pre-paid metering on a limited scale. The outcomes of the pilot project are analyzed and presented in this paper. Most of the customers under the project appear to be indifferent to the new system. The revenue of TGTDCL was less compared to the same number of un-metered customers. The pilot project has a lack of design, planning, and implementation errors. Calculations are therefore made based on the assumed parameters. Clear and conclusive results regarding the reduction of gas wastage and financial benefits are hard to determine.

Navigating the Prevailing Challenges of the Nigerian Power Sector

The entire value chain of the Nigerian power sector (the production, transmission and distribution sector) is bedeviled with numerous challenges. Challenges that hamper and make the seventh sustainable development goal only a mirage. This paper aims to take a panoramic view of the Nigerian power architecture, outlining the challenges of the various stakeholders (The Generation Companies, The Transmission Company of Nigeria, The National Control Center, The Distribution Companies, The Nigerian Bulk Electricity Trading Plc, The Nigerian Electricity Regulatory Commission, The Gas producers, The Nigerian Gas Company and the consumers) with the goal of providing a roadmap of solutions; solutions to light up the African largest economy and invariably guarantee her socio-economic development.

Unlocking the Hidden Dimension of the World’s Transmission and Distribution Power Losses through Fractal Statistical Inference

Various studies on the transmission and distribution power losses had been conducted but a global view of the transmission and distribution power loss rates had not been explored yet. This paper explained the fractal dimension of the global distribution and transmission power losses using fractal statistical analysis. Findings revealed that the computed fractal dimension of 1.08 means that power losses of countries across the globe deviated from uniformity by about 8 percent. The upper and bottom eight (8) percent of the dataset were analyzed and findings revealed that the ruggedness of the phenomenon was attributable to political and economic dimensions. The extreme high distribution and transmission power losses may be traced back to chaos, pilferage, and substandard materials. On the other hand, the economic stability and state control capacity contributed much to the extreme low distribution and transmission power losses. Keywords: fractal analysis, power loss, power transmission and distribution, xfractal.

Research and Solution Proposals to Optimize Distribution Power Grids in Smart Grid Condition

Smart Grid is a concept for transforming the electric power grid by using advanced automaticcontrol and communications techniques and other forms of information technology. It integratesinnovative tools and technologies from: generation, transmission and distribution. This also includesconsumer appliances and equipment. This concept integrates energy infrastructure, processes, devices,information and markets into a coordinated and collaborative process. All allowing energy to be generated,distributed and consumed flexibly and efficiently. However, the Smart Grid with the integration ofdistributed generation itself also creates a several disadvantages. There can be problems with: stabilityand reliability, relay protection, isolation and operational isolation in which the problem is to create aburden on the distribution grid when transmitting electrical energy sources. Optimizing power flow andbringing high operating efficiency on Smart Grid conditions is an urgent issue. This paper focuses onresearching and proposing solutions for optimal calculation of power flow on Smart Grid. The paper hasresearched, and analyzed calculation solutions to optimize power flow and proposed to use the Lagrangemultiplier method. The study performed calculations for a typical Smart Grid model with three distributedgenerations. Calculation results have shown that the role of the method is to fully perform the optimalcalculation of the power flow on the grid. This is in order to reduce power loss and energy loss as well asincreasing operational efficiency while improving power quality in Smart Grid conditions.