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Chimp algorithm based Solar-Hydrogen energy powered UPQC for distribution system.

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Title: Chimp algorithm based Solar-Hydrogen energy powered UPQC for distribution system.
Authors: Srilakshmi, Koganti1 (AUTHOR), Gummadi, Srinivasa Rao2 (AUTHOR), Valluri, Nagaraju3 (AUTHOR), Balachandran, Praveen Kumar4,5 (AUTHOR), Sangeetha, Kannan6,7 (AUTHOR) sangeethak@kdu.edu.et
Source: Energy Exploration & Exploitation. Mar2026, Vol. 44 Issue 2, p923-945. 23p.
Subjects: Power supply quality, Metaheuristic algorithms, Clean energy investment, Fuzzy control systems, Hydrogen as fuel, PID controllers, Adaptive control systems
Abstract: The incorporation of green energy sources into the network, along with the introduction of power electrical devices to regulate loads that are not linear, has significantly influenced power quality (PQ). Nevertheless, PQ is the primary challenge when integrating inconsistent power from renewable sources. Here, the reduced switch converter is selected for the Unified Power Quality Conditioner (UPQC) that is incorporated with the Solar PV Generation System (SPVGS), hydrogen Fuel cell (FC), and Battery Energy Storage Systems (BESS) to handle PQ problems effectively. This paper suggests a hybrid scheme that has the advantageous characteristics of a neural network controller (NNC), Proportional integral derivative controller (PIDC) and Fuzzy logic controller (FLC). NNC with Synchronous reference frame theory (dq) is adopted to generate the reference signals. Additionally, a meta-heuristic-based chimp algorithm (ChOA) is adapted to design the optimized FLC-PIDC hybrid controller for regulating the DC Link voltage (DLV), resistance, inductance, and capacitance variables of filters, proportional integral controller (PIC) gain values of FC and BESS. The primary goal of the suggested approach is to maintain a stable DLV despite fluctuations in both load and SPVGS. The system also seeks to reduce fluctuations in the load voltage and supply current, as well as to reduce sag, interruption, swell, and imbalances caused by variations in the source voltage. Testing the developed mode with four case studies each with a load like nonlinear, balanced, and unbalanced and grid voltage variations with variable irradiation was done to assess its performance. On the other hand, to validate the proposed technique the comparison analysis is conducted using conventional PIC. The proposed approach effectively decreases the total harmonic distortion (THD) to 2.30%, 2.63%, 2.79%, and 2.64%. These values are notably lower than those achieved by other methods in the literature. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:The incorporation of green energy sources into the network, along with the introduction of power electrical devices to regulate loads that are not linear, has significantly influenced power quality (PQ). Nevertheless, PQ is the primary challenge when integrating inconsistent power from renewable sources. Here, the reduced switch converter is selected for the Unified Power Quality Conditioner (UPQC) that is incorporated with the Solar PV Generation System (SPVGS), hydrogen Fuel cell (FC), and Battery Energy Storage Systems (BESS) to handle PQ problems effectively. This paper suggests a hybrid scheme that has the advantageous characteristics of a neural network controller (NNC), Proportional integral derivative controller (PIDC) and Fuzzy logic controller (FLC). NNC with Synchronous reference frame theory (dq) is adopted to generate the reference signals. Additionally, a meta-heuristic-based chimp algorithm (ChOA) is adapted to design the optimized FLC-PIDC hybrid controller for regulating the DC Link voltage (DLV), resistance, inductance, and capacitance variables of filters, proportional integral controller (PIC) gain values of FC and BESS. The primary goal of the suggested approach is to maintain a stable DLV despite fluctuations in both load and SPVGS. The system also seeks to reduce fluctuations in the load voltage and supply current, as well as to reduce sag, interruption, swell, and imbalances caused by variations in the source voltage. Testing the developed mode with four case studies each with a load like nonlinear, balanced, and unbalanced and grid voltage variations with variable irradiation was done to assess its performance. On the other hand, to validate the proposed technique the comparison analysis is conducted using conventional PIC. The proposed approach effectively decreases the total harmonic distortion (THD) to 2.30%, 2.63%, 2.79%, and 2.64%. These values are notably lower than those achieved by other methods in the literature. [ABSTRACT FROM AUTHOR]
ISSN:01445987
DOI:10.1177/01445987251390554