Abstract
Although the utilizing of renewable energy sources (RESs) in microgrid (MG) offers a recognized solution to meet the increasing demand, it’s performance depend on various meteorological factors of RESs. Again, the functioning of MGs is often affected with certain industrial load dynamics which allowing them to alter the operating region and tracking function of the MGs. The above-mentioned challenges motivate us to design the ancillary voltage control design for enabling the MGs to provide adaptive transient and tracking voltage responses over the changes of various factors like weather, consumer demand, and industrial loads. Firstly, we design an intelligent adaptive control (IAC) framework made by merging with proportional-integral (PI) regulator and artificial neural network (ANN) to sustain the regulated common bus voltage over the mentioned changes. The regulated bus voltage is forwarded to operate the industrial loads via the regulation of inverter-based secondary network (SN). A study on the variation of weather condition and consumer demand is done to show the efficacy of the IAC framework. Secondly, we propose a novel fixed control structure named model reference modified fractional-order PID (MR-F0PID) regulator to maintain the high tracking response of the MG via the control of inverter associated with the SNs. The tracking competency of this fixed control framework is analyzed over the running of a few industrial loads dynamics associated with single-phase inverter based SN and results are compared with the other related existing controllers. Moreover, a mathematical analysis for mapping the stable region is completed here to track down the closed-loop stability area. As a further study, the three-phase inverter based SN associated with several three-phase industrial load is also considered with the same DC bus and analyzed to observe the competency of the proposed fixed MR-FOPID control framework.
Highlights
In the modern era of automation, energy utilization is expanding step by step
A hybrid microgrid (HMG) system associated with multiple inverterbased secondary networks is studied first to formulate the challenges for the operation of various industrial loads
The studied HMG contains the PV and utility AC grid source which acts as the prime mover for driven the industrial loads
Summary
In the modern era of automation, energy utilization is expanding step by step. The increasing energy consumption. These obscure parameters are the consequences of abrupt variations of consumer demand, sustainable energy parameters like irradiance and temperature for solar-oriented generating system, and loads power that results in offer the inferior performance. This study neglects the variation of PV parameters, i.e., temperature and irradiance, and consumer demand The change of these factors produces a variety of performances in the MG load premises as they serve a source of input power for the load connected SNs. This research gap inspires us to extend the work by incorporating intelligent adaptive control (IAC) framework with the control framework used in [36]. We propose a novel fixed control structure known as MR-F0PID controller to regulate the inverters associated with SNs, allowing them to provide adaptive reliable tracking performance under the study of various industrial loads. The I-V and P-V curve for the studied PV panel made with parameters value exposed in [1] is illustrated in Fig. 3 under the experiment of various temperatures and irradiance
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