TY - JOUR
T1 - Benchmarking of Constant Power Generation Strategies for Single-Phase Grid-Connected Photovoltaic Systems
AU - Sangwongwanich, Ariya
AU - Yang, Yongheng
AU - Blaabjerg, Frede
AU - Wang, Huai
N1 - Funding Information:
Manuscript received April 15, 2016; revised June 29, 2016; accepted September 28, 2016. Date of publication August 16, 2017; date of current version January 18, 2018. Paper 2016-SECSC-0338.R1, presented at the 2016 IEEE Applied Power Electronics Specialists Conference, Long Beach, CA, USA, Mar. 20–24, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Sustainable Energy Conversion Systems Committee of the IEEE Industry Applications Society. This work was supported in part by the European Commission within the European Unions Seventh Frame-work Program (FP7/2007-2013) through the SOLAR-ERA.NET Transnational Project (PV2.3-PV2GRID), by Energinet.dk (ForskEL, Denmark) under Project 2015-1-12359, and in part by the Research Promotion Foundation (Cyprus) under Project KOINA/SOLAR-ERA.NET/0114/02. (Corresponding author: Yongheng Yang.) The authors are with the Department of Energy Technology, Aalborg University, Aalborg DK-9220, Denmark (e-mail: [email protected]; [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - With a still increase of grid-connected photovoltaic (PV) systems, challenges have been imposed on the grid due to the continuous injection of a large amount of fluctuating PV power, like overloading the grid infrastructure (e.g., transformers) during peak power production periods. Hence, advanced active power control methods are required. As a cost-effective solution to avoid overloading, a constant power generation (CPG) control scheme by limiting the feed-in power has been introduced into the currently active grid regulations. In order to achieve a CPG operation, this paper presents three CPG strategies based on a power control method (P-CPG), a current limit method (I-CPG), and the perturb and observe algorithm (P&O-CPG). However, the operational mode changes (e.g., from the maximum power point tracking to a CPG operation) will affect the entire system performance. Thus, a benchmarking of the presented CPG strategies is also conducted on a 3-kW single-phase grid-connected PV system. Comparisons reveal that either the P-CPG or I-CPG strategies can achieve fast dynamics and satisfactory steady-state performance. In contrast, the P&O-CPG algorithm is the most suitable solution in terms of high robustness, but it presents poor dynamic performance.
AB - With a still increase of grid-connected photovoltaic (PV) systems, challenges have been imposed on the grid due to the continuous injection of a large amount of fluctuating PV power, like overloading the grid infrastructure (e.g., transformers) during peak power production periods. Hence, advanced active power control methods are required. As a cost-effective solution to avoid overloading, a constant power generation (CPG) control scheme by limiting the feed-in power has been introduced into the currently active grid regulations. In order to achieve a CPG operation, this paper presents three CPG strategies based on a power control method (P-CPG), a current limit method (I-CPG), and the perturb and observe algorithm (P&O-CPG). However, the operational mode changes (e.g., from the maximum power point tracking to a CPG operation) will affect the entire system performance. Thus, a benchmarking of the presented CPG strategies is also conducted on a 3-kW single-phase grid-connected PV system. Comparisons reveal that either the P-CPG or I-CPG strategies can achieve fast dynamics and satisfactory steady-state performance. In contrast, the P&O-CPG algorithm is the most suitable solution in terms of high robustness, but it presents poor dynamic performance.
KW - Active power control
KW - constant power control
KW - maximum power point tracking (MPPT)
KW - photovoltaic (PV) systems
KW - power converters
UR - http://www.scopus.com/inward/record.url?scp=85028459345&partnerID=8YFLogxK
U2 - 10.1109/TIA.2017.2740380
DO - 10.1109/TIA.2017.2740380
M3 - Article
AN - SCOPUS:85028459345
SN - 0093-9994
VL - 54
SP - 447
EP - 457
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 1
M1 - 8012524
ER -