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Optimal Harmonic Mitigation in Distribution Systems with Inverter Based Distributed Generation

2021103 citationsOpen accessKafr el-Sheikh University

In plain language

Increasing the integration of renewable energy sources, such as solar photovoltaics and wind turbines, introduces power electronic inverters that cause severe harmonic distortion in distribution networks. A computational method addresses these power quality problems by optimising the planning and placement of single tuned harmonic filters. Utilising the Water Cycle Algorithm, the approach targets the simultaneous reduction of total harmonic distortion, electrical power losses, and filter installation costs, while improving the network voltage profile to comply with the IEEE 519 standard. The framework also investigates the harmonic impact of distributed generation under two distinct operational cases to determine how inverter harmonic spectrums affect grid distortion and filter allocation. Simulation testing on an IEEE 69-bus distribution system confirms that this approach substantially lowers harmonic distortion across the electrical network.

Key takeaways

  • Inverter-based renewable generation units, including solar and wind power, act as significant sources of harmonic distortion in distribution networks.
  • The Water Cycle Algorithm is applied to optimise the allocation and planning of single tuned harmonic filters.
  • The optimisation balances total harmonic distortion, network power losses, filter investment costs, and voltage profiles against IEEE 519 standard limits.
  • Testing on an IEEE 69-bus distribution system confirms a significant reduction in system harmonic distortion.

Why it matters

Connecting solar panels and wind turbines to modern power grids often degrades electrical power quality through harmonic distortion, which can cause equipment overheating and energy waste. By providing an efficient way to plan filter placements, this approach helps grid operators integrate green energy while maintaining network stability, reducing power losses, and keeping electrical supplies within standard safety and quality limits.

Commercialisation angle

This method could assist electrical distribution utilities, microgrid developers, and grid planning engineers looking to reduce harmonic pollution from solar and wind installations economically. Because the optimisation has been tested on a standard IEEE 69-bus simulation model rather than deployed on a live physical network, the technology represents early-stage or applied simulation research that requires practical operational validation before commercial deployment.

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Abstract

In recent years, with the widespread use of non-linear loads power electronic devices associated with the penetration of various renewable energy sources, the distribution system is highly affected by harmonic distortion caused by these sources. Moreover, the inverter-based distributed generation units (DGs) (e.g., photovoltaic (PV) and wind turbine) that are integrated into the distribution systems, are considered as significant harmonic sources of severe harmful effects on the system power quality. To solve these issues, this paper proposes a harmonic mitigation method for improving the power quality problems in distribution systems. Specifically, the proposed optimal planning of the single tuned harmonic filters (STFs) in the presence of inverter-based DGs is developed by the recent Water Cycle Algorithm (WCA). The objectives of this planning problem aim to minimize the total harmonic distortion (THD), power loss, filter investment cost, and improvement of voltage profile considering different constraints to meet the IEEE 519 standard. Further, the impact of the inverter-based DGs on the system harmonics is studied. Two cases are considered to find the effect of the DGs harmonic spectrum on the system distortion and filter planning. The proposed method is tested on the IEEE 69-bus distribution system. The effectiveness of the proposed planning model is demonstrated where significant reductions in the harmonic distortion are accomplished.

Research topics

  • Optimal Power Flow Distribution
  • Power Quality and Harmonics
  • Microgrid Control and Optimization

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DOI: 10.3390/app11020774

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