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Load flow study (LFS) and optimal power flow (OPF) are the two important tools for power system operation and control. LFS determines the state variables of electrical network whereas OPF picks the best one among the set of load flow solutions while respecting the limits of state variables. This paper presents OPF model for optimal scheduling of solar PV generators (SPVGs), tap changer (TC) and switched capacitor banks (SCBs) in distribution network. The model considers minimization of two separate objective functions, the first one is line losses and the second is the curtailment of available solar PV power. The OPF model is implemented on the modified IEEE 33 bus distribution network, and solved using Particle Swarm Optimization (PSO) using DIgSILENT PowerFactory software.

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Optimal Scheduling of Solar PV Generators and Network Assets in Distribution Network

  • 会议论文

  • 发表日期：

    2025年

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  • Samarendra Pratap Singh,
  • Neeraj Kanwar,
  • Amit Saraswat

摘要

Load flow study (LFS) and optimal power flow (OPF) are the two important tools for power system operation and control. LFS determines the state variables of electrical network whereas OPF picks the best one among the set of load flow solutions while respecting the limits of state variables. This paper presents OPF model for optimal scheduling of solar PV generators (SPVGs), tap changer (TC) and switched capacitor banks (SCBs) in distribution network. The model considers minimization of two separate objective functions, the first one is line losses and the second is the curtailment of available solar PV power. The OPF model is implemented on the modified IEEE 33 bus distribution network, and solved using Particle Swarm Optimization (PSO) using DIgSILENT PowerFactory software.