Impact of ultracapacitor and redox flow battery with JAYA optimization for frequency stabilization in linked photovoltaic‐thermal system

Abstract

Summary This paper presents an initial work to design frequency stabilization strategies through, I, PI, PID, ID, and IDD calculated via the JAYA optimization process for load frequency control (LFC) framework of photovoltaic (PV) and thermal generators linked via AC tie‐line. Firstly, a comparative analysis of all LFC designs is conducted for typical load alterations, and the LFC recital is evaluated on basis of pick‐up value, inverse absolute error (IAE), inverse time multiplied by absolute error (ITAE) and the interpretation of graphical results. Additionally, the effects of an ultracapacitor combined with a redox flow battery and an ultracapacitor in each zone of the PV‐thermal system is also investigated and evaluated to improve the results of the PV‐thermal system. Finally, the effectiveness of the proposed plan is assessed for nonlinearity, continuous load alteration, and broad parametric varieties from the ordinary plant values. The application results are presented to show the novelty and benefits of the proposed work.

A novel Green Leaf‐hopper Flame optimization algorithm for competent frequency regulation in hybrid microgrids

“…The component, 19) linearly decreases the space that the Green-leaf-hoppers should explore and exploit. The component s x d j À x d i in (19) indicates if a Green-leaf-hopper should be repelled from (explore) or attracted to (exploitation) the target. 42 The swarms of GL are initialized by (20) considering N Search agents foraging for the problem dimension of dim within the upper and lower limit of ub and lb.…”

“…In this context, several works reported on different control schemes, particularly for containing system frequency, which is one of the significant concerns of hμGs operation. Several researchers found specific controllers for load frequency control (LFC), microgrid/hybrid microgrid/conventional power system such as P, PI, and PID controllers 12,[15][16][17][18][19][20][21] for hμGs. There are several good on works on the advanced controllers used in respect to automatic generation control of conventional power system.…”

Ant-Lion Optimizer-Based Load Frequency Controller for a Hybrid Power System with PV and Thermal Power Plant

“…The block diagram of the studied power system and the basic components in the system are shown in Fig. 1 [13].…”

“…In the LFC process, four different components, the power system, governor, turbine, and reheater, were used to model the thermal generator [5,13]. The transfer function of the power system is given in (2).…”

“…When the studies on the use of LFC to ensure system stability in power systems were examined, it was observed that the determination of the controller parameters plays a major role in achieving successful results. Various evolutionary algorithms, such as genetic algorithm (GA) [3], re y algorithm (FA) [3], population extremal optimization (PEO) [5], particle swarm optimization (PSO) [4,6], hybrid shu ed frog leaping algorithm, teaching-learning based optimization (hybrid SFLA-TLBO) [7], equilibrium optimization algorithm (EOA) [8], grey wolf optimization (GWO) [9], hybrid gravitational-re y (hGFA) [10], differential evolution-arti cial electric eld algorithm (DE-AEFA) [11], Jaya algorithm [12,13], sine-cosine algorithm (SCA) [14,15], lightning ash algorithm (LFA) [16], ant-lion optimization (ALO) [17], and gravitational search algorithm (GSA) [18], have been used to tune the controller parameters. Additionally, different optimization algorithms, such as mine blast algorithm (MBA) [19], salp swarm algorithm (SSA) [20], hybrid moth ame optimization-generalised Hop eld neural network (MFO-GHNN) [21], whale optimization algorithm (WOA) [22], crow search algorithm (CSA) [23,24], marine predator algorithm (MPA) [25],…”