基于Rao-I优化算法的热电联产经济调度模型

Paramjeet Kaur, K. T. Chaturvedi
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引用次数: 0

摘要

尽管人们越来越担心生物多样性的丧失和化石燃料的稀缺,但预计替代能源将在未来的世界能源格局中占据主导地位。CHP系统(热电联产)将电能和热能结合成一个单元,提高了整体效率并降低了碳排放。热电联产经济调度问题是电力系统工程中的一个难点和非线性问题。近年来,人们提出了许多解决这个难题的办法。在本文中,作者提出了一种新的优化算法。Rao-I算法是一种无隐喻且算法特定的算法,用于解决CHPED问题。该算法在两个不同的系统上进行了测试,并与其他知名技术的结果进行了比较,证明了它在处理实时问题方面的优越性。
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An economic dispatch model for combined heat and power plant using Rao-I optimisation algorithm
Despite growing concerns about biodiversity loss and the scarcity of fossil fuels, alternative energy sources are expected to take the lead in the world's energy landscape in the future. CHP systems (combined heat and power) combine electricity and heat energy into a single unit, increasing overall efficiency and lowering carbon emissions. CHPED (combined heat and power economic dispatch) problems are regarded as a difficult and nonlinear power system engineering challenge. Many solutions to this difficult problem have been proposed in recent years. In this article, the author proposes a new optimization algorithm. The Rao-I algorithm, which is metaphor-free and algorithm-specific, is used to solve the CHPED problem. The algorithm is tested on two different systems, and the results are compared to those of other well-known techniques to demonstrate that it is superior at dealing with real-time problems.
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