<p>The proliferation of power electronic equipment in distribution networks has exacerbated harmonic pollution, posing significant challenges to power quality. Notably, photovoltaic (PV) inverters share a homologous topology with active power filters and possess inherent capabilities for harmonic mitigation. However, harnessing PV inverters for harmonic governance involves multiple stakeholders with strong pricing autonomy, and a viable market transaction mechanism remains absent. To address this gap, this paper first introduces the concept of a Harmonic Governance Aggregator (HA) as a third-party intermediary to coordinate transactions and impose unified constraints on the otherwise arbitrary pricing behavior of distributed PV users. Subsequently, a two-layer master-slave game-theoretic trading model is proposed. The upper layer models the price negotiation between the HA and the harmonic source user, while the lower layer captures the strategic pricing interactions between the HA and individual PV users. The proposed framework is validated using the IEEE 13-node test system. Simulation results demonstrate that the model achieves effective harmonic mitigation while simultaneously delivering significant economic benefits to all participants, thereby effectively incentivizing their active engagement in the harmonic governance market.</p>

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A Two-Layer Master-Slave Game for Harmonic Trading in Distribution Networks With PV Inverters and a Novel Aggregator

  • Shuaibin Shi,
  • Yongli Liu,
  • Kangxiang Wang

摘要

The proliferation of power electronic equipment in distribution networks has exacerbated harmonic pollution, posing significant challenges to power quality. Notably, photovoltaic (PV) inverters share a homologous topology with active power filters and possess inherent capabilities for harmonic mitigation. However, harnessing PV inverters for harmonic governance involves multiple stakeholders with strong pricing autonomy, and a viable market transaction mechanism remains absent. To address this gap, this paper first introduces the concept of a Harmonic Governance Aggregator (HA) as a third-party intermediary to coordinate transactions and impose unified constraints on the otherwise arbitrary pricing behavior of distributed PV users. Subsequently, a two-layer master-slave game-theoretic trading model is proposed. The upper layer models the price negotiation between the HA and the harmonic source user, while the lower layer captures the strategic pricing interactions between the HA and individual PV users. The proposed framework is validated using the IEEE 13-node test system. Simulation results demonstrate that the model achieves effective harmonic mitigation while simultaneously delivering significant economic benefits to all participants, thereby effectively incentivizing their active engagement in the harmonic governance market.