Photovoltaic Array Reconfiguration to Reduce Partial Shading Losses using Water Cycle Algorithm

Mahmoud, Abdelhamid; Shamseldein, M.; Hasanien, Hany M.; Abdelaziz, Almoataz Y.

doi:10.1109/epec47565.2019.9074818

Cited by 8 publications

(1 citation statement)

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“…PV array reconfiguration optimization and charge-discharge optimization of BESS contain both continuous and discrete variables (Mahmoud et al, 2019). Continuous variables can be processed according to normal optimization; The discrete variables can be rounded by the values of the continuous space, and the upper and lower limits of the continuous optimization space are the upper and lower limits of the corresponding discrete variables (Horoufiany and Ghandehari, 2017).…”

Section: Variable Processing and Fitness Functionmentioning

confidence: 99%

PV array reconfiguration with electrical energy storage system for power system frequency regulation

Zhou

Liu

2022

Front. Energy Res.

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In this work, a novel PV station participating FR technique based on PV array reconfiguration and battery energy storage system (BESS) is put forward. Through the PV array reconfiguration under Partial shading condition, photovoltaic (PV) system can adjust the output power according to the power dispatch instruction. And with the help of BESS, The PV station can achieve continuous power output. Specifically, a joint PV energy storage system model combining profit maximization and power deviation minimization is established. In order to two conflicting goals simultaneously, multi-objective golden eagle optimizer and improved ideal point decision making method are applied. And Lagrange function is given to determine the weight coefficients of each objective more fairly. Two cases are designed and tested. In the high frequency response simulation test, the profit is increased by 8.4% and the power deviation from FR signal is decreased by 19.98%; meanwhile the profit is increased by 10.07% and power deviation is decreased by 67.69% in the low frequency response test. Therefore, the simulation results verify that the proposed method contributes to the frequency response of PV station.

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Section: Variable Processing and Fitness Functionmentioning

confidence: 99%