Open AccessProfit based Unit Commitment Problem solving using Hybrid CUCKOO- GWO Algorithm
Author(s) -
Manisha Hooda,
Yogendra Kumar Awasthi,
Niharika Thakur,
Anwar Shahzad Siddiqui
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1478/1/012015
Subject(s) - cuckoo search , profit (economics) , cuckoo , electric power system , computer science , revenue , power system simulation , mathematical optimization , optimization algorithm , engineering , algorithm , power (physics) , finance , mathematics , economics , particle swarm optimization , zoology , physics , quantum mechanics , biology , microeconomics
This paper proposes a hybrid approach using cuckoo search ahead with GWO to resolve PBUCP for a restructured power market. Under this structure, the issues in profit are improved using objective functions such as maximize profit using revenue and the total cost of the system and system constraints such as power demand constraints, reserve constraints, generator, and reserve limits and a minimum up and downtimes are determined. Here, two types of test systems such as IEEE-30 bus and IEEE-75 bus system is utilized. After the determination of the above objective functions, a hybrid method called Cuckoo- GWO algorithm is used for optimization. The simulations are done to demonstrate the performance of the proposed technique. At last, the comparison of the proposed and existing algorithms is evaluated in terms of profit and total operating cost for IEEE 30 bus system of 6-units and IEEE 75 bus system of 15-units respectively.