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Mian Rizwan
Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Southeast University Nanjing China

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Special issue paper
Published: 27 May 2021 in International Transactions on Electrical Energy Systems
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With the grid's evolution, the end-users demand becomes more vital for demand side management (DSM). Accurate load forecasting (LF) is critical for power system planning and using advanced demand response (DR) strategies. To design efficient and precise LF, information about various factors that influence end-users demand is required. In this paper, the impact of different factors on electrical demand and capacity of climatic factors existence and their variation is discussed and analysed. The Pearson correlation coefficient (PCC) is utilized to express the degree of electric demand correlation with metrological and calendar factors. Then, the optimal-Bayesian regularization algorithm (BRA) based on ANN for LF is presented. The effect of the number of neurons in hidden layers on output is observed to select the most appropriate option. Additionally, heating degree days (HDDs) and cooling degree days (CDDs) indices are investigated to consider the impact of air conditioners' (ACs) loads in different seasons. Case studies on data from Dallas, Texas, USA, are used to demonstrate the influence of various factors on electrical demand. The proposed algorithm's effectiveness for LF and error formulations shows that optimal-BRA-enabled LF presents better accuracy than state-of-the-art approaches. Thus, the proposed electric demand prediction strategy could help the system operator know DR potential at different times better, leading to optimal system resources dispatching through DR actions.

ACS Style

Muhammad Waseem; Zhenzhi Lin; Shengyuan Liu; Zhang Jinai; Mian Rizwan; Intisar Ali Sajjad. Optimal BRA based electric demand prediction strategy considering instance‐based learning of the forecast factors. International Transactions on Electrical Energy Systems 2021, e12967 .

AMA Style

Muhammad Waseem, Zhenzhi Lin, Shengyuan Liu, Zhang Jinai, Mian Rizwan, Intisar Ali Sajjad. Optimal BRA based electric demand prediction strategy considering instance‐based learning of the forecast factors. International Transactions on Electrical Energy Systems. 2021; ():e12967.

Chicago/Turabian Style

Muhammad Waseem; Zhenzhi Lin; Shengyuan Liu; Zhang Jinai; Mian Rizwan; Intisar Ali Sajjad. 2021. "Optimal BRA based electric demand prediction strategy considering instance‐based learning of the forecast factors." International Transactions on Electrical Energy Systems , no. : e12967.

Journal article
Published: 20 April 2021 in IEEE Access
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With the penetration of renewable energy sources based distributed generation (RES-DG) in the distribution network (DN), the operating time of protection relays becomes a major concern to avoid the mis-coordination and nuisance tripping of RES-DG. It is due to the bidirectional flow of current, variance in the fault current level, i.e. high fault current in case of Squirrel cage induction generator (SCIG) based RES-DG, and low fault current for an inverter-based RES-DGs. This paper proposes a novel User-defined dual setting direction overcurrent relay with hybrid time current-voltage (UDDOR-TCV) characteristics to intensify the proposed scheme’s flexibility without any communication assistance for radial DN. The proposed model is formulated in a constrained non-linear optimization fashion and solved with the MINLP solver of general algebraic modelling system(GAMS) software to determine the optimal relay settings. The propounded protection scheme is simulated on IEEE-33 bus radial distribution system and a local 40-bus system hosting the multiple SCIG and PV based RES-DGs at optimal locations. Detailed numerical studies are carried out to show the performance of the proposed scheme. 66.848% and 68.26% reduction in relay operation time with zero mis-coordination is achieved with SCIG-WTG case and PV-units case for the IEEE-33 bus system and a similar reduction in operation time is 68.937% and 66.563% for Local-40 bus system. Moreover, the relays numbers are reduced by 32.692% and 39.7% for IEEE-33 and Local-40 bus systems, respectively, due to the forward/reverse characteristics capability of the proposed UDDOR-TCV. The performance of the proposed scheme is also evaluated on IEEE-8 bus meshed DN. The results are compared with the existing protection schemes in recent literature.

ACS Style

Lucheng Hong; Mian Rizwan; Muhammad Wasif; Shafiq Ahmad; Mazen Zaindin; Muhammad Firdausi. User-Defined Dual Setting Directional Overcurrent Relays with Hybrid Time Current-Voltage Characteristics-Based Protection Coordination for Active Distribution Network. IEEE Access 2021, 9, 62752 -62769.

AMA Style

Lucheng Hong, Mian Rizwan, Muhammad Wasif, Shafiq Ahmad, Mazen Zaindin, Muhammad Firdausi. User-Defined Dual Setting Directional Overcurrent Relays with Hybrid Time Current-Voltage Characteristics-Based Protection Coordination for Active Distribution Network. IEEE Access. 2021; 9 ():62752-62769.

Chicago/Turabian Style

Lucheng Hong; Mian Rizwan; Muhammad Wasif; Shafiq Ahmad; Mazen Zaindin; Muhammad Firdausi. 2021. "User-Defined Dual Setting Directional Overcurrent Relays with Hybrid Time Current-Voltage Characteristics-Based Protection Coordination for Active Distribution Network." IEEE Access 9, no. : 62752-62769.

Research article
Published: 13 January 2021 in International Transactions on Electrical Energy Systems
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Renewable energy sources powered distributed generation (RES‐DG) is getting more indispensable to encounter the considerable increase in demand for electric energy owing to its techno‐economic benefits and eco‐friendly nature. An economic solution to this demand can only be obtained with the optimal placement and sizing of RES‐DGs. The optimal siting and sizing of RES‐DG, such as Photovoltaic (PV) and Wind Turbine (WT) is still a hot topic due to the uncertainties in solar irradiance (SI) and wind speed (WS). The main objective of this research paper is to develop a RES‐DG siting and sizing strategy for the discrete, nonlinear siting and sizing pattern of RES‐DGs using a novel hybrid Harris' Hawk optimizer (HHHO), considering the stochastic nature of SI and WS. The Weibull and Beta probability density functions (PDFs) are utilized for modeling the stochastic nature of WS and SI, respectively. The optimization of the multiobjective function comprises active power loss reduction, enhancement in voltage profile, and improvement in voltage stability index (VSI). Different scenarios of single and multiple RES‐DGs and capacitor banks (CB) are examined to validate the efficiency of the proposed novel HHHO based RES‐DGs siting and sizing strategy. The results show a considerable reduction in power loss, enhancement in the system voltage profile, and improvement in VSI. Evaluation of results by comparing withstate‐of‐art hybrid algorithms shows that the proposed solution using HHHO algorithm is globally optimum.

ACS Style

Mian Rizwan; Lucheng Hong; Wasif Muhammad; Syed Waqar Azeem; Yankun Li. Hybrid Harris Hawks optimizer for integration of renewable energy sources considering stochastic behavior of energy sources. International Transactions on Electrical Energy Systems 2021, 31, 1 .

AMA Style

Mian Rizwan, Lucheng Hong, Wasif Muhammad, Syed Waqar Azeem, Yankun Li. Hybrid Harris Hawks optimizer for integration of renewable energy sources considering stochastic behavior of energy sources. International Transactions on Electrical Energy Systems. 2021; 31 (2):1.

Chicago/Turabian Style

Mian Rizwan; Lucheng Hong; Wasif Muhammad; Syed Waqar Azeem; Yankun Li. 2021. "Hybrid Harris Hawks optimizer for integration of renewable energy sources considering stochastic behavior of energy sources." International Transactions on Electrical Energy Systems 31, no. 2: 1.

Journal article
Published: 10 September 2020 in Applied Sciences
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Conventional protection schemes in the distribution system are liable to suffer from high penetration of renewable energy source-based distributed generation (RES-DG). The characteristics of RES-DG, such as wind turbine generators (WTGs), are stochastic due to the intermittent behavior of wind dynamics (WD). It can fluctuate the fault current level, which in turn creates the overcurrent relay coordination (ORC) problem. In this paper, the effects of WD such as wind speed and direction on the short-circuit current contribution from a WTG is investigated, and a robust adaptive overcurrent relay coordination scheme is proposed by forecasting the WD. The seasonal autoregression integrated moving average (SARIMA) and artificial neuro-fuzzy inference system (ANFIS) are implemented for forecasting periodic and nonperiodic WD, respectively, and the fault current level is calculated in advance. Furthermore, the ORC problem is optimized using hybrid Harris hawks optimization and linear programming (HHO–LP) to minimize the operating times of relays. The proposed algorithm is tested on the modified IEEE-8 bus system with wind farms, and the overcurrent relay (OCR) miscoordination caused by WD is eliminated. To further prove the effectiveness of the algorithm, it is also tested in a typical wind-farm-integrated substation. Compared to conventional protection schemes, the results of the proposed scheme were found to be promising in fault isolation with a remarkable reduction in the total operation time of relays and zero miscoordination.

ACS Style

Mian Rizwan; Lucheng Hong; Muhammad Waseem; Shafiq Ahmad; Mohamed Sharaf; Muhammad Shafiq. A Robust Adaptive Overcurrent Relay Coordination Scheme for Wind-Farm-Integrated Power Systems Based on Forecasting the Wind Dynamics for Smart Energy Systems. Applied Sciences 2020, 10, 6318 .

AMA Style

Mian Rizwan, Lucheng Hong, Muhammad Waseem, Shafiq Ahmad, Mohamed Sharaf, Muhammad Shafiq. A Robust Adaptive Overcurrent Relay Coordination Scheme for Wind-Farm-Integrated Power Systems Based on Forecasting the Wind Dynamics for Smart Energy Systems. Applied Sciences. 2020; 10 (18):6318.

Chicago/Turabian Style

Mian Rizwan; Lucheng Hong; Muhammad Waseem; Shafiq Ahmad; Mohamed Sharaf; Muhammad Shafiq. 2020. "A Robust Adaptive Overcurrent Relay Coordination Scheme for Wind-Farm-Integrated Power Systems Based on Forecasting the Wind Dynamics for Smart Energy Systems." Applied Sciences 10, no. 18: 6318.

Research article
Published: 04 December 2019 in International Transactions on Electrical Energy Systems
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The distributed generation (DG) is getting extensively integrated in existing power distribution system because of the massive development in green energy technologies and their economical, technical, and environment benefits. However, apart from beneficial aspects, DGs also have various and complex technical limitations, major of which are loss of protection coordination among protection devices which can lead to malfunctioning of protection devices, blind protection, fuse blowing, and permanent outage of power supply due to temporary faults. In this paper, a novel curve fitting technique is designed to restore much influenced recloser‐fuse coordination using the directional properties of midline recloser for upstream and downstream protection devices coordination. It also works on fuse‐saving scheme. Using Electrical Transient Analysis Program (ETAP) Software, the proposed methodology is implemented on a real 11 kV Rajewala radial distribution feeder starting from 132 kV Eimnabad grid station, district Gujranwala, Pakistan. Present here are some key results. Different case studies are carried out and results validate the effectiveness of the proposed methodology, and the coordination among protection devices is sustained even after DGs integration in the system.

ACS Style

Mian Rizwan; Lucheng Hong; Muhammad Waseem; Wantao Shu. Sustainable protection coordination in presence of distributed generation with distributed network. International Transactions on Electrical Energy Systems 2019, 30, 1 .

AMA Style

Mian Rizwan, Lucheng Hong, Muhammad Waseem, Wantao Shu. Sustainable protection coordination in presence of distributed generation with distributed network. International Transactions on Electrical Energy Systems. 2019; 30 (3):1.

Chicago/Turabian Style

Mian Rizwan; Lucheng Hong; Muhammad Waseem; Wantao Shu. 2019. "Sustainable protection coordination in presence of distributed generation with distributed network." International Transactions on Electrical Energy Systems 30, no. 3: 1.

Journal article
Published: 25 October 2018 in IEEE Transactions on Power Delivery
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This paper addresses the resonance problem in a parallel-inverter-based grid-connected system. Harmonic interactions between inverters and the grid exhibit various and complicated characteristics that threatens the system stability and power quality. In this paper, a method of harmonic resonance analysis is proposed to investigate the resonance problem in a multi-inverter grid-connected system based on resonance modal analy-sis (RMA) and participation factor (PF) calculations. Firstly, an impedance-based analytical approach is employed and expanded to a power network that is dominated by multiple inverters with LCL filters and proportional resonant controllers. Then, the RMA is introduced to investigate the resonant interactions be-tween inverters and the grid. Specifically, harmonic resonance characteristics are addressed through transfer functions and the proposed method considering variation of inverter number, dif-ferent inverter combinations and critical system components. Finally, time domain simulations on the PSCAD/EMTDC plat-form are presented. The case study results validate the effective-ness of the proposed method.

ACS Style

Lucheng Hong; Wantao Shu; Jianhua Wang; Rizwan Mian. Harmonic Resonance Investigation of a Multi-Inverter Grid-Connected System Using Resonance Modal Analysis. IEEE Transactions on Power Delivery 2018, 34, 63 -72.

AMA Style

Lucheng Hong, Wantao Shu, Jianhua Wang, Rizwan Mian. Harmonic Resonance Investigation of a Multi-Inverter Grid-Connected System Using Resonance Modal Analysis. IEEE Transactions on Power Delivery. 2018; 34 (1):63-72.

Chicago/Turabian Style

Lucheng Hong; Wantao Shu; Jianhua Wang; Rizwan Mian. 2018. "Harmonic Resonance Investigation of a Multi-Inverter Grid-Connected System Using Resonance Modal Analysis." IEEE Transactions on Power Delivery 34, no. 1: 63-72.