Adaptive Volt–Var Control in Smart PV Inverter for Mitigating Voltage Unbalance at PCC Using Multiagent Deep Reinforcement Learning
| Autor: | Sungyoon Song, Gilsoo Jang, Dongwon Lee, Yoongun Jung, Changhee Han |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
volt–var curve control QH301-705.5 Computer science QC1-999 Control theory Reinforcement learning General Materials Science Voltage droop Biology (General) voltage unbalance QD1-999 Instrumentation Fluid Flow and Transfer Processes Physics Process Chemistry and Technology multiagent proximal policy optimization Photovoltaic system General Engineering Volt AC power Engineering (General). Civil engineering (General) Grid Computer Science Applications Chemistry smart PV inverter Inverter TA1-2040 Voltage |
| Zdroj: | Applied Sciences Volume 11 Issue 19 Applied Sciences, Vol 11, Iss 8979, p 8979 (2021) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app11198979 |
| Popis: | Modern distribution networks face an increasing number of challenges in maintaining balanced grid voltages because of the rapid increase in single-phase distributed generators. Because of the proliferation of inverter-based resources, such as photovoltaic (PV) resources, in distribution networks, a novel method is proposed for mitigating voltage unbalance at the point of common coupling by tuning the volt–var curve of each PV inverter through a day-ahead deep reinforcement learning training platform with forecast data in a digital twin grid. The proposed strategy uses proximal policy optimization, which can effectively search for a global optimal solution. Deep reinforcement learning has a major advantage in that the calculation time required to derive an optimal action in the smart inverter can be significantly reduced. In the proposed framework, multiple agents with multiple inverters require information on the load consumption and active power output of each PV inverter. The results demonstrate the effectiveness of the proposed control strategy on the modified IEEE 13 standard bus systems with time-varying load and PV profiles. A comparison of the effect on voltage unbalance mitigation shows that the proposed inverter can address voltage unbalance issues more efficiently than a fixed droop inverter. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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