Multi-Period Optimal Power Flow with Photovoltaic Generation Considering Optimized Power Factor Control

Cícero Augusto de Souza, Diego Jose da Silva, Priscila Rossoni, Edmarcio Antonio Belati, Ademir Pelizari, Jesús M. López-Lezama () and Nicolás Muñoz-Galeano
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Cícero Augusto de Souza: Center for Engineering, Modelling and Applied Social Sciences (CECS), Federal University of ABC, Santo André 09210-170, SP, Brazil
Diego Jose da Silva: Center for Engineering, Modelling and Applied Social Sciences (CECS), Federal University of ABC, Santo André 09210-170, SP, Brazil
Priscila Rossoni: Center for Engineering, Modelling and Applied Social Sciences (CECS), Federal University of ABC, Santo André 09210-170, SP, Brazil
Edmarcio Antonio Belati: Center for Engineering, Modelling and Applied Social Sciences (CECS), Federal University of ABC, Santo André 09210-170, SP, Brazil
Ademir Pelizari: Center for Engineering, Modelling and Applied Social Sciences (CECS), Federal University of ABC, Santo André 09210-170, SP, Brazil
Jesús M. López-Lezama: Research Group in Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia, Calle 67 No. 56-108, Medellin 050010, Colombia
Nicolás Muñoz-Galeano: Research Group in Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia, Calle 67 No. 56-108, Medellin 050010, Colombia

Sustainability, 2023, vol. 15, issue 19, 1-20

Abstract: This paper presents a Multi-Period Optimal Power Flow (MOPF) modeling applied to the minimization of energy losses in Distribution Networks (DNs) considering the reactive power control of Photovoltaic Generation (PVG) that can be applied to both short-term and long-term operation planning. Depending on the PV Power Factor ( P V p f ) limitations, PVG may provide both active and reactive power. The optimal power factor control on the buses with PVG contributes to an economical and safe operation, minimizing losses and improving the voltage profile of the DN. The proposed MOPF was modeled in order to minimize active energy losses subject to grid constraints and P V p f limitations. The variations of loads and PVG were discretized hour by hour, composing a time horizon of 24 h for day-ahead planning; nonetheless, the methodology can be applied to any other time period, such as a month, year, etc., by simply having generation and load forecasts. To demonstrate the effectiveness and applicability of the proposed approach, various tests were carried out on 33-bus and 69-bus distribution test systems. The analyses considered the DN operating with PVG in four different cases: (a) P V p f fixed at 1.0; (b) P V p f fixed at 0.9 capacitive; (c) hourly P V p f optimization; and (d) optimization of P V p f for a single value. The results show that a single optimal adjustment of P V p f minimizes losses, improves voltage profile, and promotes safe operation, avoiding multiple P V p f adjustments during the operating time horizon. The algorithm is extremely fast, taking around 2 s to reach a solution.

Keywords: renewable energy sources; technical losses minimization; multi-period optimal power flow; photovoltaic generation; power factor control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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