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Li, Jie
- An Optimal Algorithm Based on Kinetic-Molecular Theory with Artificial Memory to Solving Economic Dispatch Problem
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Authors
Affiliations
1 College of Information and Engineering, Xiangtan University, Xiangtan - 411105, CN
2 College of Electric and Information Engineering, Hunan University, Changsha - 410000, CN
1 College of Information and Engineering, Xiangtan University, Xiangtan - 411105, CN
2 College of Electric and Information Engineering, Hunan University, Changsha - 410000, CN
Source
Current Science, Vol 115, No 3 (2018), Pagination: 454-464Abstract
Economic dispatch (ED) problem exhibits highly nonlinear characteristics, such as prohibited operating zone, ramp rate limits and non-smooth property. Due to its nonlinear characteristics, it is hard to achieve the expected solution by classical methods. To overcome the challenging difficulty, an improved optimization algorithm based on kinetic-molecular theory (KMTOA) was proposed to solve the ED problem in this article. Memory principle is employed into the improved algorithm. By accepting strengthened or weakened stimulus strength, the memory is divided into four states; instant-term, short-term, long-term and forgotten states to update the memory value iteratively. In this way, more and more elites appear in the long-term memory library. Simultaneously, the improved KMTOA, according to the elite population-based guide on the other population, enhances the search ability and avoids the premature convergence which usually suffered in traditional KMTOA. The designs are able to enhance the performance of KMTOA, which has been demonstrated on 12 benchmark functions. To validate the proposed algorithm, we also use three different systems to demonstrate its efficiency and feasibility in solving the ED problem. The experimental results show that the improved KMTOA can achieve higher quality solutions in ED problems.Keywords
Artificial Memory, Benchmark Function, Economic Dispatch, KMTOA.References
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- The Application of IoT Technology in Energy Management of Intelligent Building
Abstract Views :83 |
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Authors
Affiliations
1 Ministry of Education, Key Laboratory with Modern Metallurgical Technology, North China University of Science and Technology, Tangshan 063000, CN
2 Engineering Computing and Simulation Innovation Laboratory, North China University of Science and Technology, Tangshan 063000, CN
1 Ministry of Education, Key Laboratory with Modern Metallurgical Technology, North China University of Science and Technology, Tangshan 063000, CN
2 Engineering Computing and Simulation Innovation Laboratory, North China University of Science and Technology, Tangshan 063000, CN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 6 (2022), Pagination: 315-324Abstract
At present, the construction energy consumption accounts for 30% of the total energy consumption of the city, and this data also has the tendency to rise, therefore, the building energy saving becomes the object that the relevant scholar focuses on. There are many ways of building energy saving, is one of the most critical to building the scientific management of energy, and in this paper, the research content is the application of Internet of things technology of intelligent building energy management, the purpose is to provide a good reference for energy saving. Building energy management system is the basis of precise metering, energy consumption is the key management scheme design, the core is the analysis of the measurement data, based on energy consumption measuring, management solution and to study the way of accessing data processing platform, analyses the power component measurement, clarification of water supply and drainage, HVAC itemized metering and renewable energy metering, designed by computer room air conditioning monitoring andBASenergy management solutions of solar photovoltaic power generation system, it is concluded that theEMSintegration of overall scheme, and based on this, advances the scheme ofBASand the integration ofEMS. The implementation of the scheme effectively, in order to make the management of intelligent building energy management system is also energy consumption data of Internet access was studied, in order to lay a foundation for the realization of the Internet of things technology.Keywords
Access, Building Energy Consumption, Internet of Things (IoT) Technology, Itemized Measurement, Management Plan.References
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- Mark Cutifani,Anglo’s CEO added: “Anglo American offers an increasingly differentiated investment proposition centred around sustainable performance and high quality, responsible growth. Combined with its integrated approach to technology in pursuit of the safer and more sustainable supply of materials essential to the energy transition and growing consumer demand patterns, we are well positioned to meet the expectations of itsfull breadth of stakeholders across society.”