Study of phasor measurement unit placement in wide area monitoring system of radial distribution network using oppositional-based artificial rabbit optimization

被引:0
作者
Sultana, Sneha [1 ]
Paul, Sourav [1 ]
Roy, Provas Kumar [2 ]
机构
[1] Dr B C Roy Engn Coll, Dept Elect Engn, Durgapur, West Bengal, India
[2] Kalyani Govt, Dept Elect Engn, Kalyani, West Bengal, India
关键词
Radial distribution system; Phasor measurement unit; Artificial rabbit optimization; Oppositional artificial rabbit optimization; Wide area monitoring system; Zero injection bus; OPTIMAL PMU PLACEMENT; ALGORITHM; RECONFIGURATION;
D O I
10.1007/s00202-025-02968-1
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, a new metaheuristic bioinspired technique oppositional artificial rabbit optimization (OARO) technique is enhanced and employed, for phasor measurement unit (PMU) placement in distribution system. Based on PMUs, this study emphasizes their advantages for real-time monitoring. Quite differently, the PMU serves as the system's cornerstone. The goal of this kind of technology is to analyse data quickly and automatically arrive at a decision. Four scenarios are taken into consideration in the simulation study for each test system, and the goal is to minimize costs while taking into account fewer PMU. The first case focuses primarily on the number of PMU set as the objective function; the second case uses the wide area monitoring system (WAMS) data traffic index and installation cost to observe comprehensive observability. The third case focuses on how many PMU are used in conjunction with zero injection bus (ZIB). Finally, ZIB and WAMS are implemented together to reduce data traffic and, eventually, the fitness function. There is artificial rabbit optimization (ARO), inspired by the survival of rabbits, such as detour foraging and random hiding. The behaviour of the rabbits in random searching for food in other region neglecting its own region followed by random hiding amongst all borrowings to reduce the chances for the predators to search them to kill. In this study, an oppositional strategy of rabbits' finding the tunnels is applied for finding the food search space. In addition, the rabbit energy shrink strategy is implemented to transmit rabbits from detour foraging and random hiding. The concept of oppositional-based learning applied to rabbit survival strategy has been mathematically modelled and tested in PMU placement problems in the radial distribution system. The methods are evaluated in radial distribution systems with 33, 69, 85, 118, and 141 buses. In each case, it is found that OARO provides better results on PMU placement for phasor measurement of voltage and current in radial distribution systems.
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页数:33
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