Day-Ahead Coordinated Reactive Power Optimization Dispatching Based on Semidefinite Programming

With access to new energy sources, the problem of reactive power optimization and dispatching has become increasingly important for research. However, the reactive power optimization problem is a mixed integer nonlinear optimization problem. In order to solve the integer variables and nonlinear conditions existing therein, a method for coordinated reactive power optimization and dispatching based on semidefinite programming is proposed. Firstly, a reactive power optimization model considering discrete variables and continuous variables is established with the minimization of total operating cost as the objective function; secondly, the discrete variables are transformed into equality constraints by quadratic equations, and then a solvable semi-definite programming problem is obtained; thirdly, the rank-one constraint is restored by the Iterative Optimization based Gaussian Randomization Method (IOGRM), and the optimal solution equivalent to the original problem is obtained. Finally, the correctness and effectiveness of the proposed model and solution method are verified by analyzing and comparing with the second-order cone programming (SOCP) through the modified IEEE standard example.

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Publication Details

Journal
Energies
Published
2025-10-17
DOI
https://doi.org/10.3390/en18205469
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Day-Ahead Coordinated Reactive Power Optimization Dispatching Based on Semidefinite Programming

Peijie Cong, Zhengchun Du, Yujun Li, Mengqi Liu et al.
Energies
Optimal Power Flow Distribution
article

Day-Ahead Coordinated Reactive Power Optimization Dispatching Based on Semidefinite Programming

Peijie Cong, Zhengchun Du, Yujun Li, Mengqi Liu, Binbin Xu, Bo Zhu, Tao Liu, Yilin Zhong
article en

Abstract

With access to new energy sources, the problem of reactive power optimization and dispatching has become increasingly important for research. However, the reactive power optimization problem is a mixed integer nonlinear optimization problem. In order to solve the integer variables and nonlinear conditions existing therein, a method for coordinated reactive power optimization and dispatching based on semidefinite programming is proposed. Firstly, a reactive power optimization model considering discrete variables and continuous variables is established with the minimization of total operating cost as the objective function; secondly, the discrete variables are transformed into equality constraints by quadratic equations, and then a solvable semi-definite programming problem is obtained; thirdly, the rank-one constraint is restored by the Iterative Optimization based Gaussian Randomization Method (IOGRM), and the optimal solution equivalent to the original problem is obtained. Finally, the correctness and effectiveness of the proposed model and solution method are verified by analyzing and comparing with the second-order cone programming (SOCP) through the modified IEEE standard example.

EnergiesVol. 18(20)
Guangzhou Education Bureau (CN), China Southern Power Grid (China) (CN), Power Grid Corporation (India) (IN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 70%
Optimal Power Flow Distribution
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Day-Ahead Coordinated Reactive Power Optimization Dispatching Based on Semidefinite Programming — Peijie Cong, Zhengchun Du, et al. · Energies (2025) | TGRS Research Map | TGRS