证券交易所降低实际电力损耗和提高电压稳定性、产品需求可用性、富裕和富裕算法

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of ICT Research and Applications Pub Date : 2020-12-31 DOI:10.5614/ITBJ.ICT.RES.APPL.2020.14.2.5
K. Lenin
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引用次数: 0

摘要

。本文提出了Stock Exchange Algorithm (SEA)、Product Demand-Availability (PDA)算法和Affluent and Penurious (AP)算法来解决功耗降低问题。在SEA方法中,模拟在证券交易所买卖股票来设计算法。根据股东的适应度值,将其分为特权股东、普通股东和弱势股东。PDA优化算法基于消费者需求和产品在市场上的可用性。富裕和贫穷算法模拟人们的社会行为。定义差距参数(G),表示当富人的财富增加时,富人和穷人之间的差距越来越大。本文提出的证券交易算法、产品需求-可用性优化算法和富裕与贫穷优化算法在ieee30总线系统上进行了测试。成功地实现了实际功率损耗最小化、电压偏差最小化和电压稳定指标的提高。
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Real Power Loss Reduction and Voltage Stability Enhancement by Stock Exchange, Product Demand-Availability, Affluent and Penurious Algorithms
. In this paper, the Stock Exchange Algorithm (SEA), the Product Demand-Availability (PDA) algorithm, and the Affluent and Penurious (AP) algorithm are proposed to solve the power loss reduction problem. In the SEA approach, selling and buying shares in the stock exchange was imitated to design the algorithm. Stockholders are classified as Privileged, Average or Weak based on their fitness value. The PDA optimization algorithm is based on the consumer demand and availability of a product in the market. The Affluent and Penurious algorithm mimics the social behavior of people. The gap parameter (G) is defined to indicate the growing gap between affluent and penurious people when affluent people increase their wealth. The proposed Stock Exchange Algorithm, Product Demand-Availability optimization algorithm and the Affluent and Penurious optimization algorithm were tested in the IEEE 30 bus system. Real power loss minimization, voltage deviation minimization, and voltage stability index enhancement were successfully attained.
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来源期刊
Journal of ICT Research and Applications
Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊介绍: Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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