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Frequency stabilisation of a hybrid two-area power system by a novel quasi-oppositional harmony search algorithm

IET GENERATION TRANSMISSION & DISTRIBUTION 2015年第15期9卷 2167-2179页

作者： Mahto, Tarkeshwar Mukherjee, Vivekananda Indian Sch Mines Dept Elect Engn Dhanbad 826004 Jharkhand India

Modelling, simulation and performance analysis of a two-area thermal-hybrid distributed generation (HDG) power system having different sources of power generation has been carried out in this study. The thermal power plant is consisting of re-heat type thermal system, whereas the HDG system includes the combination of wind turbine generator and diesel generator. In the studied model, superconducting magnetic energy storage (SMES) device is considered in both the areas. Additionally, a flexible ac transmission system (FACTS) device such as static synchronous series compensator (SSSC) is also considered in the tie-line. The different tunable parameters of the proportional-integral-derivative (PID) controllers, SMES and SSSC are optimised using a novel quasi-oppositional harmony search (QOHS) algorithm. Optimisation performance of the novel QOHS algorithm is established while comparing its performance with binary coded genetic algorithm. From the simulation work it is observed that with the inclusion of SMES in both the areas, the system performances toward the achievement of minimal frequency and tie-line power oscillations are promising under different types of input loading perturbations. It is further revealed from the simulation results that the installation of an expensive FACTS device such as SSSC does not yield any significant improvement to the system performance.

关键词： frequency stability power system stability search problems genetic algorithms distributed power generation thermal power stations wind turbines diesel-electric generators flexible AC transmission systems superconducting magnet energy storage three-term control power generation control frequency stabilisation HDG power system two-area thermal-hybrid distributed generation power generation quasi-oppositional harmony search algorithm thermal power plant reheat type thermal system wind turbine generator diesel generator superconducting magnetic energy storage device SMES device flexible ac transmission system device FACTS device static synchronous series compensator SSSC QOHS algorithm optimisation performance binary coded genetic algorithm tie-line power oscillations input loading perturbations tunable parameters PID controllers

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Automatic generation control of multi-unit multi-area deregulated power system using a novel quasi-oppositional harmony search algorithm

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IET GENERATION TRANSMISSION & DISTRIBUTION 2015年第15期9卷 2398-2408页

作者： Shiva, Chandan Kumar Mukherjee, Vivekananda Indian Sch Mines Dept Elect Engn Dhanbad 826004 Jharkhand India

This initiative work deals with the automatic generation control (AGC) of multi-unit multi-area power system in the prospective of deregulated power environment owing to load following issues. In present outlook, a deregulated four-area power system having eight generation companies and eight distribution companies is treated as a plant model. The concerned objective is to intensify the bilateral behaviour and investigate the system AGC performance. In the state of deregulation, the influence of a novel quasi-oppositional harmony search (QOHS) algorithm based Sugeno fuzzy-logic (SFL) technique is proposed as an AGC optimisation task by showing its consequences on bilateral policy/dynamics. In the entire work, the proposed QOHS based SFL technique is incorporated for the tuning of on-line, off-nominal controller gains. The salient advantage of this control strategy is to provide good dynamic responses over a wide range of system parametric variations. The observations are based on the three deregulated cases which, generally, takes place in deregulated power market. The presented simulation results show that the proposed QOHS based SFL is a promising optimisation technique in the field of deregulated AGC study.

关键词： power markets search problems optimisation fuzzy logic three-term control power control power generation control power generation economics fuzzy control automatic generation control multiunit multiarea deregulated power system quasi-oppositional harmony search algorithm generation companies distribution companies plant model system AGC performance QOHS algorithm-based Sugeno fuzzy-logic technique AGC optimisation task bilateral policy bilateral dynamics QOHS-based SFL technique online proportional-integral-derivative controller gain off-nominal proportional-integral-derivative controller gain power market

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Dynamic stability enhancement of TCSC-based tidal power generation using quasi-oppositional harmony search algorithm

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IET GENERATION TRANSMISSION & DISTRIBUTION 2018年第10期12卷 2288-2298页

作者： Kumar, Akshay Shankar, Gauri Indian Sch Mines Indian Inst Technol Dept Elect Engn Dhanbad Jharkhand India

This study presents the dynamic and steady state stability improvement of a tidal power generation system (TPGS) assisted power system model (i.e. single machine infinite bus (SMIB) system) using a thyristor controlled series capacitor (TCSC). To achieve this objective, the TCSC used in the studied model is optimally designed using quasi-oppositional harmony search algorithm (QOHSA). The complete dynamic equation of the studied power system is realised based on d-q-axis decomposition. Eigenvalue analysis is performed using the frequency-domain approach to study the steady-state stability while the time-domain-based simulation is carried out to determine the dynamic stability of the studied system. To corroborate the effectiveness of QOHSA, results yielded by this algorithm are compared with those obtained using particle swarm optimisation technique. It may be inferred from the results obtained in this study that the QOHSA tuned TCSC outperforms the other in improving the overall stability of the TPGS-based SMIB system following disturbance. Furthermore, a similar analysis is extended to the TPGS-based multi-machine power system model to validate the efficiency of QOHSA in optimal designing of TCSC for dynamic stability improvement.

关键词： tidal power stations thyristor applications search problems eigenvalues and eigenfunctions frequency-domain analysis time-domain analysis power system stability TPGS-based multimachine power system model time-domain-based simulation steady-state stability frequency-domain approach eigenvalue analysis d-q-axis decomposition complete dynamic equation QOHSA thyristor controlled series capacitor TPGS assisted power system model tidal power generation system steady state stability improvement quasi-oppositional harmony search algorithm TCSC-based tidal power generation dynamic stability enhancement

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Load frequency control of an autonomous hybrid power system by quasi-oppositional harmony search algorithm

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 78卷 715-734页

作者： Shankar, G. Mukherjee, V. Indian Sch Mines Dept Elect Engn Dhanbad 826004 Jharkhand India

This paper deals with a novel quasi-oppositional harmony search algorithm (QOHSA) based design of load frequency controller for an autonomous hybrid power system model (HPSM) consisting of multiple power generating units and energy storage units. QOHSA is a novel improved version of music inspired harmony search algorithm for obtaining the best solution vectors and faster convergence rate. In this paper, the efficacy of the proposed QOHSA is adjudged for optimized load frequency control (LFC) of an autonomous HPSM. The studied HPSM consists of renewable/non-renewable energy based generating units such as wind turbine generator, solar photovoltaic, solar thermal power generator, diesel engine generator, fuel cell with aqua-electrolyzer while energy storage units consists of battery energy storage system, flywheel energy storage system and ultra-capacitor. Gains of the conventional controllers such as integral (I) controller, proportional-integral (PI) controller and proportional-integral-derivative (PID) controller (installed as frequency controller one at a time in the proposed HPSM) is optimized using QOHSA to mitigate any frequency deviation owing to sudden generation/load change. In order to corroborate the efficacy of QOHSA, performance of QOHSA to design optimal LFC is compared with that of other well-established technique such as teaching learning based optimization algorithm (TLBOA). The comparative performances of the HPSM under the action of QOHSA/TLBOA based optimized conventional controllers (I or PI or PID) are investigated and compared in the present work. It is found that the QOHSA tuned frequency controllers improves the overall dynamic response in terms of settling time, overshoot and undershoot in the profile of frequency deviation and power deviation of the studied HPSM. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Hybrid power system model Load frequency control quasi-oppositional harmony search algorithm Renewable energy sources Teaching learning based optimization algorithm

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Load Frequency Control of Distributed Generators Assisted Hybrid Power System Using QOHSA Tuned Model Predictive Control

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IEEE ACCESS 2022年 10卷 109311-109325页

作者： Kumar, Akshay Kumari, Neetu Shankar, Gauri Elavarasan, Rajvikram Madurai Kumar, Sachin Srivastava, Ankit Kumar Khan, Baseem Natl Sun Yat Sen Univ Dept Elect Engn Kaohsiung 804 Taiwan Indian Sch Mines Dhanbad Indian Inst Technol Dept Elect Engn Jharkhand 826004 India Univ Queensland Sch Informat Technol & Elect Engn St Lucia Qld 4072 Australia Govind Ballabh Pant Inst Engn & Technol Dept Elect Engn Pauri Garhwal 246194 Uttarakhand India Dr Rammanohar Lohia Avadh Univ Inst Engn & Technol Dept Elect Engn Faizabad 224001 Uttar Pradesh India Hawassa Univ Dept Elect & Comp Engn Awasa 1530 Ethiopia

One of the challenging issues in a hybrid power system (HPS) is to provide a stable power supply with minimum frequency deviation, which can be accomplished by ensuring a coordinated operation among intermittent type distributed generators (DGs). In this study, the coordinated operation of a tidal turbine generator (TTG) (an emerging and less explored DG), diesel engine generator (DEG) and plug-in hybrid electric vehicles (PHEVs) based an autonomous HPS (a less explored HPS of this kind) for load frequency control (LFC) is investigated. The coordinated operation of different control loops such as the blade pitch control loop of TTG, supplementary control loop of DEG, and power control loop of PHEVs are realized through the maiden application of the proposed quasi-oppositional harmony search algorithm (QOHSA) based model predictive control (MPC) strategy. To establish the superiority of the proposed QOHSA tuned MPC method in mitigating frequency deviation following disturbance, its performance is compared with that of the coordinated performance obtained using QOHSA tuned conventional controllers and other existing optimization algorithms. The results conclude that the suggested method can significantly reduce frequency fluctuation under different load disturbances. The proposed method can handle different variances of the disturbance signals or noise entering the system as well as the model mismatch.

关键词： Generators Blades Power system stability Predictive control Prediction algorithms Hybrid power systems Optimization Load modeling Wind turbines Hybrid power system load frequency control model predictive control quasi-oppositional harmony search algorithm tidal turbine generator

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