Published August 2015 | Version v1
Journal article

The optimal configuration of photovoltaic module arrays based on adaptive switching controls

Description

Highlights: • We propose a strategy for determining the optimal configuration of a PV array. • The proposed strategy was based on particle swarm optimization (PSO) method. • It can identify the optimal module array connection scheme in the event of shading. • It can also find the optimal connection of a PV array even in module malfunctions. - Abstract: This study proposes a strategy for determining the optimal configuration of photovoltaic (PV) module arrays in shading or malfunction conditions. This strategy was based on particle swarm optimization (PSO). If shading or malfunctions of the photovoltaic module array occur, the module array immediately undergoes adaptive reconfiguration to increase the power output of the PV power generation system. First, the maximal power generated at various irradiation levels and temperatures was recorded during normal array operation. Subsequently, the irradiation level and module temperature, regardless of operating conditions, were used to recall the maximal power previously recorded. This previous maximum was compared with the maximal power value obtained using the maximum power point tracker to assess whether the PV module array was experiencing shading or malfunctions. After determining that the array was experiencing shading or malfunctions, PSO was used to identify the optimal module array connection scheme in abnormal conditions, and connection switches were used to implement optimal array reconfiguration. Finally, experiments were conducted to assess the strategy for identifying the optimal reconfiguration of a PV module array in the event of shading or malfunctions

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2015.04.080

Additional details

Identifiers

DOI
10.1016/j.enconman.2015.04.080;
PII
S0196-8904(15)00444-6;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
100
Journal Page Range
p. 157-167
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47025912
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
CONFIGURATION; CONTROL; OPERATION; OPTIMIZATION; PHOTOVOLTAIC POWER PLANTS; POWER GENERATION; SHADING; SOLAR RADIATION; SWITCHES
Descriptors DEC
ELECTRICAL EQUIPMENT; EQUIPMENT; POWER PLANTS; RADIATIONS; SOLAR POWER PLANTS; STELLAR RADIATION

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.