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A single PV system operating in islanded mode exhibits a number of drawbacks, such as reduced dependability and a constrained capacity for energy production. The connectivity of various microgrids can address this problem by changing the power flows to and from the connected microgrid modules in response to power imbalances. The setup taken into consideration in this paper uses a STATCOM/ESS module to regulate the microgrid's active and reactive power. Through tie-lines, inverters and ESSs are utilised to exchange power among interconnected microgrids. Based on frequency measurements, the power flow between the interconnected microgrids is managed. Direct electric current was connected to each aluminium electrode in the series. An AC/DC current exchanger supplied the electric current. Sodium chloride was utilised to generate synthetic wastewater with certain salt content. The chemical oxygen demand (COD) and total organic carbon (TOC) concentrations as a result were 3,500 and 2,000 mg/L, respectively. 1 N NaOH and HCl solutions were employed to change the pH. All chemical experiments were carried out in accordance with the prescribed procedures. Responses of COD and TOC removal efficiencies by Equation () were used to evaluate the process’ performance:

(3)

c_i and c are the starting as well as ultimate concentrations of COD or TOC (mg/L), respectively. In order to maximise the factors affecting the removal of COD as well as TOC from saline solutions, RSM was utilised. pH, reaction time, salt content, and voltage at three coded levels were three independent variables that were looked at (Table 1). Preliminary screening studies as well as literature reviews provided the variable ranges. The experimental design used in this study was a two-level full factorial design with additional central as well as star points. According to Equation (), total number of experiments (N) can be computed:

(4)

where N₀ is the number of replications in the central point for evaluating net error (five replications), N_a is the number of two-level experiments, and N_c is number of star points (24). So, a total of 29 experiments were created. The software Design Expert 7 was used to do statistical design of trials as well as data analysis. The following equation can be used to represent the second-order method equation for the prediction of the ideal conditions: In the experiments, every variable was optimised. Analysis of Variance (ANOVA) was used to analyse data as well as identify interactions between independent variables of process as well as responses. The experiments were carried out at random to avoid systemic error. The performance of independent variables is determined by coefficients of second-order method, which interpret the degree of removal of researched parameters. Multiple regressions were used to assess the research data. Fischer test was used to control the statistical significance, while determination coefficients were used to control the quality of method fitting (F-test).

Table 1

Comparative analysis between proposed and existing technique based on various saline water analysis

Salt water analysis	Techniques	Accuracy	Precision	Recall	Specificity	Computational cost	Kappa coefficient
S = 35–140 g/L	GMDH	82	70	65	58	45	32
	SVM	84	72	68	62	48	33
	PRE_SWA_DL	86	74	72	63	51	39
T_cond = 20–30 °C	GMDH	85	73	66	64	53	35
	SVM	88	76	69	66	55	38
	PRE_SWA_DL	91	80	74	71	56	42
T_evap = 60–80 °C	GMDH	93	82	69	65	54	39
	SVM	94	84	72	69	56	43
	PRE_SWA_DL	96	86	76	73	58	45

Salt water analysis	Techniques	Accuracy	Precision	Recall	Specificity	Computational cost	Kappa coefficient
S = 35–140 g/L	GMDH	82	70	65	58	45	32
	SVM	84	72	68	62	48	33
	PRE_SWA_DL	86	74	72	63	51	39
T_cond = 20–30 °C	GMDH	85	73	66	64	53	35
	SVM	88	76	69	66	55	38
	PRE_SWA_DL	91	80	74	71	56	42
T_evap = 60–80 °C	GMDH	93	82	69	65	54	39
	SVM	94	84	72	69	56	43
	PRE_SWA_DL	96	86	76	73	58	45

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