“…To ensure the realtime response capability of the used PV array, this paper proposed real-time hardware-in-the-loop experiment based (1): TCT PV system modelling by equations ( 1) and (2) (2): Initialize: algorithms parameters (population number, iteration number, etc.) (3): Generate PV module shadow distribution randomly (4): Calculate the output power of each PV array according to equation ( 5) and keep it as the current optimal output power and optimal shadow distribution (5): While k ≤ k max (6): Update the acceleration of each atom by equation (6) (7): Update the velocity of each atom by equation ( 8) (8): Update the position of each atom by equation (9) (9): Calculate the output power of each PV array again and update the optimal shadow distribution and optimal output power (10): Set k � k + 1 (11): End while (12): Output: best shadow distribution of PV arrays and the maximum output power (13): Calculate mismatch loss, f of the optimal solution, and STD of simulation results of ASO in 20 runs studies in this paper are undertaken in MATLAB R2020a by using a desktop computer with Intel(R) Core TM i7-8650U CPU at 2.11 GHz with 8 GB of RAM.…”
“…Te resulting deterioration of the ecological environment and global warming has brought a very serious threat to people's survival and safety [5]. Due to the increasing demand for energy and the decreasing reserves of fossil energy [6], renewable energy sources are gaining more and more attention and are gradually replacing most fossil fuels [7], and one of the most promising energy sources is solar energy [8].…”
Photovoltaic (PV) reconfiguration is an effective solution for reducing the hot spot effect caused by partial shadows on PV arrays. This paper proposed an efficient atom search optimization- (ASO-) based PV reconfiguration method. The analysis and comparison with the other four reconfiguration methods were performed by three evaluation criteria, which are mismatch loss, fill factor, and standard deviation, respectively. The conclusion can be drawn that the efficiency, rapidity, and reliability of ASO are superior to those of other methods. Besides, a moving cloud shadow mode of 9 × 9-scaled PV array is designed in this paper, which can be widely recommended to thoroughly study a PV reconfiguration approach.
“…To ensure the realtime response capability of the used PV array, this paper proposed real-time hardware-in-the-loop experiment based (1): TCT PV system modelling by equations ( 1) and (2) (2): Initialize: algorithms parameters (population number, iteration number, etc.) (3): Generate PV module shadow distribution randomly (4): Calculate the output power of each PV array according to equation ( 5) and keep it as the current optimal output power and optimal shadow distribution (5): While k ≤ k max (6): Update the acceleration of each atom by equation (6) (7): Update the velocity of each atom by equation ( 8) (8): Update the position of each atom by equation (9) (9): Calculate the output power of each PV array again and update the optimal shadow distribution and optimal output power (10): Set k � k + 1 (11): End while (12): Output: best shadow distribution of PV arrays and the maximum output power (13): Calculate mismatch loss, f of the optimal solution, and STD of simulation results of ASO in 20 runs studies in this paper are undertaken in MATLAB R2020a by using a desktop computer with Intel(R) Core TM i7-8650U CPU at 2.11 GHz with 8 GB of RAM.…”
“…Te resulting deterioration of the ecological environment and global warming has brought a very serious threat to people's survival and safety [5]. Due to the increasing demand for energy and the decreasing reserves of fossil energy [6], renewable energy sources are gaining more and more attention and are gradually replacing most fossil fuels [7], and one of the most promising energy sources is solar energy [8].…”
Photovoltaic (PV) reconfiguration is an effective solution for reducing the hot spot effect caused by partial shadows on PV arrays. This paper proposed an efficient atom search optimization- (ASO-) based PV reconfiguration method. The analysis and comparison with the other four reconfiguration methods were performed by three evaluation criteria, which are mismatch loss, fill factor, and standard deviation, respectively. The conclusion can be drawn that the efficiency, rapidity, and reliability of ASO are superior to those of other methods. Besides, a moving cloud shadow mode of 9 × 9-scaled PV array is designed in this paper, which can be widely recommended to thoroughly study a PV reconfiguration approach.
“…The modular multilevel converter (MMC) based high voltage direct current (HVDC) transmission has become the main delivery method for offshore wind power [2], because of its low voltage deception, low switching frequency, modular architecture, black-start capability, and so on [3]. The wiring of the MMC-HVDC system mainly has two kinds of pseudo-bipolar and true bipolar [4], relative to the pseudo-bipolar wiring, the true bipolar MMC-HVDC system with positive and negative converter controlled independently, having the advantages of large transmission capacity, high reliability, high fault-tolerance, and flexible control. With the future development of OWP in the direction of large capacity, high voltage level, and long distance, the true bipolar MMC-HVDC system will become the preferred solution for OWP delivery projects [5].…”
For offshore wind power via a true bipolar MMC-HVDC delivery system, when both poles of the offshore converter stations adopt fixed AC voltage and fixed frequency control (referred to as fixed V/f control), the converter stations are connected to the same bus and control the same target, resulting in unstable operation of the system. Therefore, this paper proposes an inter-pole cooperative control strategy for a true bipolar MMC-HVDC system with offshore wind power. One pole of the offshore converter station adopts fixed V/f control to supply stable AC voltage to the offshore AC system, and the other pole adopts inter-pole cooperative control to achieve balanced power distribution between the two poles, thus improving the system power transmission margin and reducing power losses. Finally, a simulation project is established on the PSCAD/EMTDC to confirm the usefulness of the inter-pole cooperative control strategy.
“…The deterioration of the ecological environment and the consumption of traditional fossil energy have become increasingly serious, prompting scholars worldwide to advocate for the accelerated development of clean and pollution-free renewable energy to achieve sustainable energy development [1][2][3]. However, the continuous grid connection of renewable energy presents significant challenges and pressures to the operation and maintenance of power systems [4][5][6][7][8]. Consequently, energy storage (ES) technology has become a critical foundation in building a new power system that promotes green and low-carbon energy transformation [9,10].…”
In hybrid energy systems, the intermittent and fluctuating nature of new energy sources poses major challenges for the regulation and control of power systems. To mitigate these challenges, energy storage devices have gained attention for their ability to rapidly charge and discharge. Collaborating with wind power (WP), energy storage (ES) can participate in the frequency control of regional power grids. This approach has garnered extensive interest from scholars worldwide. This paper proposes a two-region load frequency control model that accounts for thermal power, hydropower, ES, and WP. To address complex, nonlinear optimization problems, the dingo optimization algorithm (DOA) is employed to quickly obtain optimal power dispatching commands under different power disturbances. The DOA algorithm’s effectiveness is verified through the simulation of the two-region model. Furthermore, to further validate the proposed method’s optimization effect, the DOA algorithm’s optimization results are compared with those of the genetic algorithm (GA) and proportion method (PROP). Simulation results show that the optimization effect of DOA is more significant than the other methods.
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