A Comprehensive Multi-Period Optimal Power Flow Framework for Smart LV Networks
| Autor: | Florin Capitanescu, Iason I. Avramidis, Geert Deconinck |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Impact assessment business.industry 020209 energy As is Photovoltaic system Energy Engineering and Power Technology 02 engineering and technology Systems and Control (eess.SY) AC power Electrical Engineering and Systems Science - Systems and Control Reliability engineering Controllability Photovoltaics 0202 electrical engineering electronic engineering information engineering FOS: Electrical engineering electronic engineering information engineering Inverter ComputingMilieux_COMPUTERSANDSOCIETY Electrical and Electronic Engineering business Scaling GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) |
| DOI: | 10.48550/arxiv.2009.14137 |
| Popis: | This paper presents an extensive multi-period optimal power flow framework, with new modelling elements, for smart LV distribution systems that rely on residential flexibility for combating operational issues. A detailed performance assessment of different setups is performed, including: ZIP flexible loads (FLs), varying degrees of controllability of conventional residential devices, such as electric vehicles (EVs) or photovoltaics (PVs), by the distribution system operator (DSO) (adhering to customer-dependent restrictions) and full exploitation of the capabilities offered by state-of-the-art inverter technologies. A comprehensive model-dependent impact assessment is performed, including phase imbalances, neutral and ground wires and load dependencies. The de-congestion potential of common residential devices is highlighted, analyzing capabilities such as active power redistribution, reactive power support and phase balancing. Said potential is explored on setups where the DSO can make only partial adjustments on customer profiles, rather than (as is common) deciding on the full profiles. The extensive analysis can be used by DSOs and researchers alike to make informed decisions on the required levels of modelling detail, the connected devices and the degrees of controlability. The formulation is computationally efficient, scaling well to medium-size systems, and can serve as an excellent basis for building more tractable or more targeted approaches. |
| Databáze: | OpenAIRE |
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