Journal of Intelligent & Fuzzy Systems - Volume 35, issue 5

Authors: Keshri, Jay Prakash | Tiwari, Harpal

Article Type: Research Article

Abstract: Due to the recent advancement in power electronics devices in past few decades, HVDC system became mature but still has some protection issues, like tripping of the circuit breaker for a temporary fault as to load changes. Therefore, in this paper, a scheme of complete protection for fast, and accurate classification and detection of a fault in HVDC transmission line using support vector machine (SVM) is presented. In the proposed scheme, ac and dc side voltage and current at each converter station are measured and treated as the input of SVM binary classifier. For classification of fault, SVM module with …multi-classification feature is used. For the normalization purposes of the signals, the standard deviation is used over half cycle before and after the occurrence of the fault. Features have been extracted through wavelet transform of predefined function for detection and classification of a fault. The proposed scheme is easy to use as it requires only one end data and a standard deviation over one cycle data. Show more

Keywords: Support vector machines (SVM), hyper plane, multiclass SVM, multiterminal HVDC, regression, confusion matrix, receiver operating characteristic (ROC)

DOI: 10.3233/JIFS-169782

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 4977-4986, 2018

Authors: Jaiswal, Shiva Pujan | Shrivastava, Vivek

Article Type: Research Article

Abstract: With socio-economical development, power distribution systems are forced to work with both heavy as well as light loads, which causes voltage instability and power loss. This paper develops a Particle Swarm Optimization (PSO) based algorithm to find an optimal place and parameter of Unified Power Flow Controller (UPFC) to improve voltage profile with minimum system loss. UPFC is a most versatile Flexible Alternating Current Transmission System (FACTS) controller, which can control bus voltage; flow of active as well as reactive power through lines. The novelty of this work is to fix the location of UPFC at base load to make …power distribution system more secure and efficient, by tuning its parameters at all possible load conditions. The developed methodology is employed in IEEE 30-bus system with different intensities of the load. Results prove the success of developed technique and verify the potential of UPFC for improvement of system stability with mitigation of losses. Show more

Keywords: Voltage profile index, system loss, PSO, FACTS, UPFC

DOI: 10.3233/JIFS-169783

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 4987-4995, 2018

Authors: Malee, Rahul Kumar | Chundawat, Ashok Singh | Maliwar, Niharika | sharma, Avadhesh Kumar

Article Type: Research Article

Abstract: Expansion planning of distribution system is the most significant tool which deal with the continuous increasing load demand. The main motive of the expansion planning is the minimization of the investment and operation cost of distribution network equipment which consider the installation/reinforcement cost of substation, feeders and Distribution Generation. In this paper, price and load uncertainties are taken in to expansion planning which gives the robust and reliable expansion planning. These uncertainties are molded as Normal Probability Distribution Function. By using Monte Carlo Simulation uncertainties are added in to planning. A 72 bus (Kian-pars Ahvaz 11 KV a practical distribution …network in Iran) distribution network is used for case study of expansion planning. This multistage dynamic expansion planning problem is resolved by the Quantum Particle Swarm Optimization. The proposed algorithm is compared with the standard Particle Swarm Optimization and results shows the superiority of proposed algorithm over PSO. Show more

Keywords: Probability distribution function, distributed generation, quantum PSO, monte-carlo simulation

DOI: 10.3233/JIFS-169784

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 4997-5006, 2018

Authors: Chauhan, Rajeev Kumar | Hasan, Mashhood | Pandey, Jai Prakash

Article Type: Research Article

Abstract: A unified power quality conditioner (UPQC) has two converters interlinked with back to back DC voltage source. The UPQC is used to improve the multiple power quality (MPQ) of the AC distribution network. The quality of the UPQC depends on the selection of series and shunt control algorithms. The series converter injects the voltage and improves voltage quality whereas the shunt converter injects current and improves the current quality of the AC distribution network. The UPQC works properly if the DC link voltage maintains constant under abnormal or normal condition of AC grid system. Thus, in this paper, DC link …voltage is controlled using intelligent model, adaptive neuro fuzzy inference system (ANFIS). The ANFIS result is compared with fuzzy model and conventional PI controller to enhance the mitigation capability of the UPQC. Moreover, the series and shunt converters are controlled by modified second order generalised integrator (SOGI) based algorithm. The performance of intelligent control model is verified by MATLAB based simulation results. Show more

Keywords: ANFIS controller, fuzzy controller, harmonics, intelligent technique, multiple PQ, PI controller

DOI: 10.3233/JIFS-169785

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5007-5020, 2018

Authors: Azeem, Abdul | Fatema, Nuzhat | Malik, H.

Article Type: Research Article

Abstract: Development of power through wind with the enhancement of renewable energy resources, frolics/romps a principal role in a developing country like India due to its censorious locations. Wind speed prediction in long term scenario has become a key research area in distinct applications (i.e., management of energy, optimal designing of wind farm, restructuring of electricity marketing, load-shedding and load forecasting). However, forecasting of accurate wind speed data for installation of wind turbine is very difficult due to its deterministic and probabilistic characteristics. The presented technique in this study may bridge the research gap related with the long term wind speed …forecasting as resolve the previously indicated problems. Thence, two basically distinct techniques, k -nearest neighbors (k NN) algorithm and artificial neural network (ANN), have been implemented to forecasting of monthly wind speed of Indian cities. The uniqueness of the presented paper is to predict the wind speed in common form of incoming month by implementing the k NN algorithm. A dataset of current wind speed recorded specimen from 168 cities of India is utilized to train and test the proposed approach. Obtained results through the proposed approach have been validated by using ANN technique, which shows very small MSE. Show more

Keywords: Decision tree, k-NN, multilayer perceptron, wind speed prediction, artificial neural network

DOI: 10.3233/JIFS-169786

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5021-5031, 2018

Authors: Roy, Souvik | Banshwar, Anuj | Sharma, Naveen Kumar | Sood, Yog Raj

Article Type: Research Article

Abstract: The power sector is experiencing comprehensive changes in its regulatory structure, sensing advancement and also prone to system security threats. To make the system more reliable the use of Ancillary Services (AS) become a must. The AS maintains the system security and reliability. With deregulation, the integration of Renewable Energy Sources (RES) in the power system has increased. To utilize RES at the maximum extent, the use of Energy Storage Systems (ESS) is required. ESS like Pumped Storage Plant (PSP) mainly adds great value to support renewable utilization. This paper proposes the simultaneous dispatch of energy and AS market such …that the total procurement cost is minimized. The procurement of Operating Reserve (OR) as one of the principal AS is considered in the present work. The optimization problem is formulated and solved using Optimal Power Flow (OPF) technique. RES like Wind Power (WP) and Photo-Voltaic (PV), PSP as ESS with other conventional power generation units are considered to provide energy and AS. Four different cases considering various combinations of energy providers in the optimization problem have been studied and compared using modified IEEE-39 test bus system. Show more

Keywords: Deregulated power sector, ancillary services, renewable energy sources, energy storage scheme, simultaneous optimization, operating reserve

DOI: 10.3233/JIFS-169787

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5033-5043, 2018

Authors: Salkuti, Surender Reddy | Lho, Young Hwan

Article Type: Research Article

Abstract: This paper proposes the solution to an optimal scheduling problem of a thermal-wind power system. Here, the power output from a wind energy generator (WEG) is assumed to be schedulable, therefore the wind power penetration limits can be determined by the system operator (SO). The intermittent nature of wind power and speed is modeled using the Weibull density function. Here, 3 objective functions i.e., total operating cost, voltage stability enhancement index and system losses are selected. The total generation cost minimization objective has the cost of power generated from thermal and WEGs, under and over estimation costs of wind power. …In the present paper, a multi-objective optimal power flow (MO-OPF) problems are framed by considering different objective functions simultaneously, and they are solved using the multi-objective Glowworm Swarm Optimization (MO-GSO) technique. The proposed optimization problem is solved on a modified IEEE 30 bus test system with two wind farms situated at two different buses in the system. The obtained simulation results show the suitability of proposed MO-OPF method for large scale power systems. Show more

Keywords: Generation cost, wind energy, multi-objective optimization, evolutionary algorithms, transmission losses, uncertainty, voltage stability

DOI: 10.3233/JIFS-169788

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5045-5054, 2018

Authors: Mahto, Tarkeshwar | Malik, Hasmat | Saad Bin Arif, M.

Article Type: Research Article

Abstract: In this paper, the fractional-order (FO) proportional-integral-derivative (PID) (FO-PID) controller is designed aiming at load-frequency control (LFC) for an isolated hybrid power system, involving a solar photovoltaic generator and a diesel engine generator. The FO-PID controller is a PID controller which has fractional order for integral and derivative. This paper engages’ particle swarm optimization (PSO) algorithm to carry out the above mentioned LFC for the considered wind-biomass isolated hybrid power system. A comparison of FO control strategy with conventional based controller techniques is made. The FO-PID controller outperforms the conventional PID controllers.

Keywords: Fractional order, integral order, proportional-integral-derivative, isolated hybrid power system, particle swarm optimization

DOI: 10.3233/JIFS-169789

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5055-5061, 2018

Authors: Singh, Bijay Kumar | Kumar, Nagendra | Singh, Akhilesh | Joshi, Bhagawati Prasad

Article Type: Research Article

Abstract: Wind turbine generator (WTG) and solar thermal power system (STPS) are growing field of renewable energy. These technologies are considered as the feasible options for the generation of electricity in future. However, the inclusion of these technologies affects the output power which intern affects the power frequency. Successful operation of a power system frequency requires frequency in operational limit, therefore, in this study a PID controller is designed for frequency control of a hybrid power system. Big bang big crunch (BBBC) optimization technique is used for determining the parameters of PID controller. The performance of controller has been checked with …random variation of load demands. The obtained results demonstrate the effectiveness of the controller. Further, a comparative analysis of results obtained with BBBC has also been performed with genetic algorithm (GA) based controller. Show more

Keywords: AGC, PID, WTG, STPS, BBBC

DOI: 10.3233/JIFS-169790

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5063-5070, 2018

Authors: Sharma, Naveen Kumar | Banshwar, Anuj | Sharma, Bharat Bhushan | Sood, Yog Raj | Shrivastava, Rajnish

Article Type: Research Article

Abstract: Due to the liberalization of the electricity market, the traditional concepts and practices of the electrical systems have resulted in the introduction of Competitive Electricity Market (CEM). The recognition of CEM provides special consideration for the development of Renewable Energy (RE) throughout the world. The paper presents a mixed Genetic Algorithm (GA) and Optimal Power Flow (OPF) based model for determination of the optimal location and rating of Wind Power Generation (WPG). The optimization algorithm has been formulated and solved while considering the procurement cost minimization for obtaining the required energy by optimally locating the WPG in the system. The …proposed mixed GA-OPF approach has been successfully applied to the modified IEEE 30-bus test system. The proposed algorithm also resulted in the prioritized list of optimal locations of WPG in the system. Show more

Keywords: Competitive electricity market, wind power generation, genetic algorithm, optimal power flow, procurement cost, optimal location

DOI: 10.3233/JIFS-169791

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5071-5075, 2018