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EDA‐based optimized global control for PV inverters in distribution grids

doi: 10.1049/rpg2.12031
AbstractOperating distribution grids is increasingly challenging due to the increasing penetration of photovoltaic systems. To address these challenges, modern photovoltaic inverters include features for local control, which sometimes lead to suboptimal results. Improved communication infrastructure and photovoltaic inverters favour global control strategies, which receive information from all the systems in the grid. An estimation of distribution algorithm is used to optimize a global control strategy that minimizes active power curtailment and use of reactive power of the photovoltaic inverters, while maintaining voltage stability. Optimized global control outperforms every other local control evaluated in terms of apparent energy used for control (9.9% less usage compared to the second best alternative in all scenarios studied) and ranks second in terms of voltage stability (with a 0.14% of total time outside the voltage limits). Two new indicators to compare control strategies are proposed, and optimized global control strategy ranks best for both efficiency index (0.98) and average apparent power use (0.48 kVA).
- University of La Laguna Spain
- University of La Laguna Spain
- University of California, San Diego United States
Voltage control, Optimisation techniques, TJ807-830, Solar power stations and photovoltaic power systems, Power and energy control, Other topics in statistics, Control of electric power systems, Renewable energy sources
Voltage control, Optimisation techniques, TJ807-830, Solar power stations and photovoltaic power systems, Power and energy control, Other topics in statistics, Control of electric power systems, Renewable energy sources
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
