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  1. Article ; Online: A novel CFFOPI-FOPID controller for AGC performance enhancement of single and multi-area electric power systems.

    Arya, Yogendra

    ISA transactions

    2019  Volume 100, Page(s) 126–135

    Abstract: The modern power system (PS) is an intricate manmade control system. Automatic generation control (AGC) executes an imperative contribution in PS operation to preserve its frequency and tieline power flow within a tolerable range following continuously ... ...

    Abstract The modern power system (PS) is an intricate manmade control system. Automatic generation control (AGC) executes an imperative contribution in PS operation to preserve its frequency and tieline power flow within a tolerable range following continuously varying load demands. Hence, a wholesome and expert controller for AGC is obligatory to deliver superior power to the end users. The objective of this article is to design a cascaded fuzzy fractional order (FO) PI-FOPID (CFFOPI-FOPID) controller as a novel control strategy for AGC problem solution in electric PS. The controller parameters are determined employing a recent stochastic imperialist competitive algorithm. The controller assures the convergence of deviation in area frequency and tieline power under load disturbances to zero in minimum definite time. Single and interconnected multi-area thermal PS models are utilized as test systems to authorize the efficacy of the method. Results analysis reveals the advantage of CFFOPI-FOPID​ controller over various prevalent controllers. The models are also explored with appropriate generation rate constraint. Robustness test validates controller's robustness at large changes in system parameters, random change in power demand and additional imperative nonlinearities.
    Language English
    Publishing date 2019-11-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2012746-7
    ISSN 1879-2022 ; 0019-0578
    ISSN (online) 1879-2022
    ISSN 0019-0578
    DOI 10.1016/j.isatra.2019.11.025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Improvement in automatic generation control of two-area electric power systems via a new fuzzy aided optimal PIDN-FOI controller.

    Arya, Yogendra

    ISA transactions

    2018  Volume 80, Page(s) 475–490

    Abstract: Automatic generation control (AGC) executes a vital role to supply quality power in an interconnected power system. To cultivate good quality of power supply via preserving area frequency and tie-line power oscillations following consumer's load demand ... ...

    Abstract Automatic generation control (AGC) executes a vital role to supply quality power in an interconnected power system. To cultivate good quality of power supply via preserving area frequency and tie-line power oscillations following consumer's load demand disturbances, the controller designed for AGC of power system should display excellent disturbance rejection expertise. Hence, in this paper, a maiden attempt is made to propose a fuzzy aided integer order proportional integral derivative with filter-fractional order integral (FPIDN-FOI) controller for AGC of multi-area power systems. A more recent intelligent optimization technique termed as imperialist competitive algorithm (ICA) is fruitfully employed for concurrent tuning of various parameters of the proposed controller. It is observed from the simulation results that the proposed FPIDN-FOI controller outperforms the various existing control strategies and PID/PIDN/FPIDN controller designed in the study for five different power system models. Effect of variation in fractional order value of integral on the system performance is analyzed. A sensitivity analysis is conducted to test the robustness of the designed controller under variations in the system parameters, load demands and existence of the system nonlinearities. It is perceived that the proposed controller is robust and executes adequately under variations in system parameters, random load disturbance patterns and nonlinearities.
    Language English
    Publishing date 2018-08-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2012746-7
    ISSN 1879-2022 ; 0019-0578
    ISSN (online) 1879-2022
    ISSN 0019-0578
    DOI 10.1016/j.isatra.2018.07.028
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Tidal turbine support in microgrid frequency regulation through novel cascade Fuzzy-FOPID droop in de-loaded region.

    Singh, Kavita / Arya, Yogendra

    ISA transactions

    2022  Volume 133, Page(s) 218–232

    Abstract: The goal of this study is to introduce an effective load frequency control scheme with the integration of tidal turbines in a standalone microgrid (μG) system. As standalone μG experiences lower inertia and lacks primary frequency control, the use of ... ...

    Abstract The goal of this study is to introduce an effective load frequency control scheme with the integration of tidal turbines in a standalone microgrid (μG) system. As standalone μG experiences lower inertia and lacks primary frequency control, the use of variable tidal turbines in the de-loaded region may be accepted as one of the feasible solutions for managing frequency regulation issues. In this condition, the de-load region alludes to an area where tidal turbines liberate their accumulated kinetic energy in rotational parts pursuing frequency fluctuations. An effectual cascade fractional order fuzzy PID-integral double derivative (CFOFPID-IDD) controller suggested for efficient utilization of tidal turbines, whose design variables are tuned through a recently appeared Jaya algorithm. An investigation is made between the acquired outcomes of the studied CFOFPID-IDD droop controller with fractional order fuzzy PID droop control to analyze the proposed strategy performance in various load conditions, with different physical constraints like time delay, dead zone, and generation rate constraints. Moreover, the sensitivity test reveals that the Jaya-optimized CFOFPID-IDD controller can undergo ± (10-25) % variation in various coefficients without retuning the design variable values. The simulation outcomes validate the effectiveness and adequacy of the proposed regulator.
    MeSH term(s) Fuzzy Logic ; Computer Simulation ; Algorithms
    Language English
    Publishing date 2022-07-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2012746-7
    ISSN 1879-2022 ; 0019-0578
    ISSN (online) 1879-2022
    ISSN 0019-0578
    DOI 10.1016/j.isatra.2022.07.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Optimal planning and designing of microgrid systems with hybrid renewable energy technologies for sustainable environment in cities.

    Kurukuri, Peddakapu / Mohamed, Mohd Rusllim / Raavi, Pavan Harika / Arya, Yogendra

    Environmental science and pollution research international

    2024  

    Abstract: Although hybrid wind-biomass-battery-solar energy systems have enormous potential to power future cities sustainably, there are still difficulties involved in their optimal planning and designing that prevent their widespread adoption. This article aims ... ...

    Abstract Although hybrid wind-biomass-battery-solar energy systems have enormous potential to power future cities sustainably, there are still difficulties involved in their optimal planning and designing that prevent their widespread adoption. This article aims to develop an optimal sizing of microgrids by incorporating renewable energy (RE) technologies for improving cost efficiency and sustainability in urban areas. Diverse RE technologies such as photovoltaic (PV) systems, biomass, batteries, wind turbines, and converters are considered for system configuration to obtain this goal. Net present cost (NPC) is this study's objective function for optimal sizing microgrid configuration. For demonstration, we assess the technical, economic factors, and atmospheric emissions of optimal hybrid renewable energy systems for Putrajaya City in Malaysia. The required solar radiation data, temperature, and wind speeds are collected from the NASA surface metrological database. From the quantitative analysis of simulations, the biomass-battery-based system has optimal economic outcomes compared to other systems with an NPC of around 1.07 M$, while the cost of energy (COE) is 0.118 $/kWh. Moreover, environmentally safe nitrogen oxide emissions, carbon monoxide, and carbon dioxide concentrations exist. The grid-tied RE technology boasts cost-effectiveness, with an NPC of 348,318 $ and a COE of 0.0112 $/kWh. This study aids decision-makers in formulating policies for integrating hybrid RE systems in urban areas, promoting sustainable energy generation.
    Language English
    Publishing date 2024-04-22
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-024-33254-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: AGC of PV-thermal and hydro-thermal power systems using CES and a new multi-stage FPIDF-(1+PI) controller

    Arya, Yogendra

    Renewable energy. 2019 Apr., v. 134

    2019  

    Abstract: The interconnected power system with renewable energy sources is an intricate nonlinear system, which frequently brings to light the serious problem of the system frequency and tie-line power fluctuations due to deficient damping under severe and ... ...

    Abstract The interconnected power system with renewable energy sources is an intricate nonlinear system, which frequently brings to light the serious problem of the system frequency and tie-line power fluctuations due to deficient damping under severe and dynamically changing loading conditions. Primarily, the power system generation-demand equilibrium point amendments following a contingency and in this case, it is stiffer to recapture a tolerable equilibrium point via conventional control practices. To overcome this problem, advanced control techniques and fast acting energy storage systems (ESS) are requisite. The ESS such as capacitive energy storage (CES) units have tremendous capability in preserving the generation-demand balance and perpetuating the power grid frequency by effective damping of the power-frequency oscillations caused due to the sudden and variable load disturbances in power system. Hence, the impact of CES units in automatic generation control (AGC) of interconnected power system is analysed and contrasted critically in this paper. Motivated by the fact that fuzzy control techniques display superior performance under volatile operating conditions in contrast to conventional control strategies, this paper also proposes a new design of intelligent multi-stage fuzzy assisted PID with filter-(1 + PI) i.e., FPIDF-(1 + PI) controller to enhance the conduct of AGC of power system. Initially, a two-area photovoltaic-reheat thermal system is considered and the parameters of FPIDF-(1 + PI) controller are optimized utilising imperialist competition algorithm. The ascendancy of the proposed controller is substantiated by comparing the outcomes with PI/FPI/FPIDF controller based on various existing optimization techniques. It is observed that CES units installed in each control area sustain the area controller to restore the area frequency and tie-line power deviations adequately and hastily following a step load disturbance in an area. To exhibit the potency and scalability of CES and the proposed controller over other prevalent control methods, the study is also extended to a multi-unit multi-source hydro-thermal power system. Finally, robustness of the proposed controller with/without CES is validated under large changes in the system parameters and random load demands. Hence, the proposed approach asserts better and vigorous results to supply reliable and high-quality electric power to the end user.
    Keywords algorithms ; control methods ; electric power ; energy ; linear models ; renewable energy sources
    Language English
    Dates of publication 2019-04
    Size p. 796-806.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2001449-1
    ISSN 0960-1481
    ISSN 0960-1481
    DOI 10.1016/j.renene.2018.11.071
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: Impact of hydrogen aqua electrolyzer-fuel cell units on automatic generation control of power systems with a new optimal fuzzy TIDF-II controller

    Arya, Yogendra

    Renewable energy. 2019 Aug., v. 139

    2019  

    Abstract: To circumvent equipment damage, load shedding and possible blackouts in electric power system, brisk acting energy storage units can excellently shrink the frequency and tie-line power oscillations generated due to small load perturbations. This paper ... ...

    Abstract To circumvent equipment damage, load shedding and possible blackouts in electric power system, brisk acting energy storage units can excellently shrink the frequency and tie-line power oscillations generated due to small load perturbations. This paper investigates the impact of the energy storage hydrogen aqua electrolyzer (HAE)-fuel cell (FC) units on automatic generation control (AGC) of interconnected power systems. AGC plays the pivotal role in providing the electricity supply with good quality standards in the fast growing word of todays. For this, AGC entails highly proficient and intelligent control technique. Hence, a new fuzzy tilt integral derivative with filter plus double integral (FTIDF-II) controller is proposed for the first time in AGC field as an intelligent control technique to upgrade AGC performance of power systems with/without HAE-FC units. A recently appeared socio-politically influenced global search metaheuristic imperialist competitive algorithm (ICA) is used to tune the parameters of FTIDF-II controller. In FTIDF-II controller, asymmetrically membership functions (MFs) are employed, where MFs alongside zero provide fine-tuning and away from zero coarse-tuning. The efficacy of the control approach is critically analyzed on three 2-area power system models selected from the literature. The supremacy of FTIDF-II controller is established over FTIDF and existing PID/PIDF/TIDF/FPI/FPID/FPIDF/FPIDF-II structured controller optimized via various newly emerged optimization techniques. Investigation affirms that the dynamic performance of the systems with FTIDF-II controller improves further in the presence of HAE-FC units. Sensitivity analysis demonstrated that the proposed controller is robust and executes competently at variations in the system parameters and random load perturbations.
    Keywords algorithms ; electric power ; electricity ; energy ; equipment ; hydrogen ; models ; renewable energy sources
    Language English
    Dates of publication 2019-08
    Size p. 468-482.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2001449-1
    ISSN 0960-1481
    ISSN 0960-1481
    DOI 10.1016/j.renene.2019.02.038
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: AGC performance enrichment of multi-source hydrothermal gas power systems using new optimized FOFPID controller and redox flow batteries

    Arya, Yogendra

    Energy. 2017 May 15, v. 127

    2017  

    Abstract: Redox flow batteries (RFB) showcase extremely long charge-discharge life cycle and outstanding quick response to alleviate the oscillations under sudden disturbances in power system. The assimilation of energy storage units in power system can curtail ... ...

    Abstract Redox flow batteries (RFB) showcase extremely long charge-discharge life cycle and outstanding quick response to alleviate the oscillations under sudden disturbances in power system. The assimilation of energy storage units in power system can curtail the oscillations energetically by contributing fast active power compensation. Hence, in this paper, RFB are tried to integrate into multi-source power systems and their efficacy in boosting automatic generation control (AGC) performance is executed. A new fractional order fuzzy PID (FOFPID) controller is employed to enhance the system performance. FOFPID controller parameters are optimized maidenly by utilizing imperialist competitive algorithm (ICA). The controller is designed and implemented on more realistic single/two-area multi-source hydrothermal gas system with/without RFB. The potency of FOFPID is established by contrasting its responses with optimal and lately developed hSFS-PS, DE, TLBO and IPSO optimized controllers. To check the efficacy of the approach, the study is further conducted under the presence of important non-linearites like GDB and GRC. Analysis of results reveals that the advocated approach with/without RFB improves the system performance significantly in comparison to the prevalent methods. The robustness of the method is demonstrated against wide variations in system parameters under the presence/absence of RFB/GDB-GRC and at higher and variable step load demands.
    Keywords algorithms ; batteries ; controllers ; energy
    Language English
    Dates of publication 2017-0515
    Size p. 704-715.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2017.03.129
    Database NAL-Catalogue (AGRICOLA)

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