[1]ZHAO Wenqing,QIN Zhibu.Hybrid intelligent water drops algorithm and sequential quadratic programming for electric power economic emission dispatch[J].CAAI Transactions on Intelligent Systems,2018,13(3):346-351.[doi:10.11992/tis.201705002]
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Hybrid intelligent water drops algorithm and sequential quadratic programming for electric power economic emission dispatch

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 13 Number of periods: 2018 3 Page number: 346-351 Column: 学术论文—智能系统 Public date: 2018-05-05
Title:
Hybrid intelligent water drops algorithm and sequential quadratic programming for electric power economic emission dispatch
Author(s):
ZHAO Wenqing;  QIN Zhibu
School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China
Keywords:
intelligent water drops algorithm; sequential quadratic programming; electric power environment; economic dispatch; valve-point effect; continuous optimization; hybrid algorithm; standard test function
CLC:
TP391.9;TPTM621.4
DOI:
10.11992/tis.201705002
Abstract:
Economic dispatch in an electric power environment is critical to reducing the cost of coal consumption and the emission of air pollutants during power generation. We propose a hybrid methodology that combines an intelligent-water-drops (IWD) algorithm with sequential quadratic programming (SQP) to improve the economic dispatch. Because of SQP’s weak global search capability, we use IWD to seek a global solution. In addition, the solution generated by the water droplets in each iteration is then taken as the initial solution of SQP, which is also slightly adjusted to improve the solution. We test the proposed approach by using a ten-unit system. In comparison with other methods that consider the valve-point effect, the proposed IWD-SQP method is feasible and effective.
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