This page has only limited features, please log in for full access.

Dr. Muhammad Fahad Zia
Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, France

Basic Info


Research Keywords & Expertise

0 Energy Management
0 Renewable Energy
0 microgrids
0 Smart Grids
0 Transactive energy

Fingerprints

Renewable Energy
Energy Management
microgrids
Transactive energy

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 19 August 2021 in Electric Power Systems Research
Reads 0
Downloads 0

Grid-feeding inverters require much better operation monitoring and improved performance for their safe and efficient integration into the power system. Specifically, these inverters must participate in grid stability enhancement under faulty conditions and without any disconnection. In this regard, a fault ride-through capability is proposed for an inductive filtered grid-feeding inverter, which is controlled in both positive and negative sequences to ensure dual current control. Grid voltage dips are tackled by injecting a reactive power according to grid codes requirements. Enhanced active power control is introduced by suppressing oscillations, which are twice the grid-frequency. In order to avoid the inverter and semi-conductor components tripping under grid faults, a new current limiting strategy is proposed. It is based on real-time active power reduction using a closed-loop current magnitude controller. The effectiveness and flexibility of the proposed control strategy are verified by numerical simulations in both balanced and unbalanced grid fault cases.

ACS Style

Fayçal Benyamina; Abdeldjabar Benrabah; Farid Khoucha; Muhammad Fahad Zia; Yahia Achour; Mohamed Benbouzid. Online current limiting-based control to improve fault ride-through capability of grid-feeding inverters. Electric Power Systems Research 2021, 201, 107524 .

AMA Style

Fayçal Benyamina, Abdeldjabar Benrabah, Farid Khoucha, Muhammad Fahad Zia, Yahia Achour, Mohamed Benbouzid. Online current limiting-based control to improve fault ride-through capability of grid-feeding inverters. Electric Power Systems Research. 2021; 201 ():107524.

Chicago/Turabian Style

Fayçal Benyamina; Abdeldjabar Benrabah; Farid Khoucha; Muhammad Fahad Zia; Yahia Achour; Mohamed Benbouzid. 2021. "Online current limiting-based control to improve fault ride-through capability of grid-feeding inverters." Electric Power Systems Research 201, no. : 107524.

Review
Published: 14 July 2021 in Electronics
Reads 0
Downloads 0

Increasing power demands require multiple generating units interconnected with each other to maintain the power balance of the system. This results in a highly dense power system consisting of multiple generating units which coordinate with each other to maintain the balanced performance of the system. Among different energy sources, the thermal source, the hydro energy source, the photovoltaic system, and the wind energy source are the most popular ones. Researchers have developed several optimization problems in the literature known as dispatch problems to model the system consisting of these different types of energy sources. The constraints for each system depend upon the generation type and the nature of the objective functions involved. This paper provides a state-of-the-art review of different dispatch problems and the nature of the objective functions involved in them and highlights the major constraints associated with each optimization function.

ACS Style

Sheroze Liaquat; Muhammad Zia; Mohamed Benbouzid. Modeling and Formulation of Optimization Problems for Optimal Scheduling of Multi-Generation and Hybrid Energy Systems: Review and Recommendations. Electronics 2021, 10, 1688 .

AMA Style

Sheroze Liaquat, Muhammad Zia, Mohamed Benbouzid. Modeling and Formulation of Optimization Problems for Optimal Scheduling of Multi-Generation and Hybrid Energy Systems: Review and Recommendations. Electronics. 2021; 10 (14):1688.

Chicago/Turabian Style

Sheroze Liaquat; Muhammad Zia; Mohamed Benbouzid. 2021. "Modeling and Formulation of Optimization Problems for Optimal Scheduling of Multi-Generation and Hybrid Energy Systems: Review and Recommendations." Electronics 10, no. 14: 1688.

Journal article
Published: 31 March 2021 in Energy Conversion and Management
Reads 0
Downloads 0

This paper deals with hybrid electric fuel cell-powered drones energy management while targeting hydrogen saving and power supply system efficiency improvement. In this context, a commercially available quadcopter powered by the Intelligent Energy 650 W power module is adopted as a case study. Its power supply system is based on fuel cell and battery, and the power is conventionally managed using a basic rule-based strategy. To improve power management, a frequency separation rule-based approach is first proposed, and then an equivalent consumption minimization strategy is implemented for fuel economy seeking. An experimental flight test is carried out using a battery-powered hexacopter to extract a real power profile for load requirement modeling. The obtained load profile is repeated several times replicating the hovering phase to obtain a larger mission lifetime. Extensive simulation results clearly show that the proposed power management strategies enables power sources operating in their nominal area, extending their lifetimes, and inducing 3% minimization in hydrogen consumption. This optimization extends the drone endurance as much as the carried fuel amount, and it can increase the world endurance record by 21.81min. It has also an economical benefit, which consists in the operating cost gain reaching 853.2€ per fuel cell module lifecycle. In fleet missions, this gain may further be increased.

ACS Style

Mohamed Nadir Boukoberine; Muhammad Fahad Zia; Mohamed Benbouzid; Zhibin Zhou; Teresa Donateo. Hybrid fuel cell powered drones energy management strategy improvement and hydrogen saving using real flight test data. Energy Conversion and Management 2021, 236, 113987 .

AMA Style

Mohamed Nadir Boukoberine, Muhammad Fahad Zia, Mohamed Benbouzid, Zhibin Zhou, Teresa Donateo. Hybrid fuel cell powered drones energy management strategy improvement and hydrogen saving using real flight test data. Energy Conversion and Management. 2021; 236 ():113987.

Chicago/Turabian Style

Mohamed Nadir Boukoberine; Muhammad Fahad Zia; Mohamed Benbouzid; Zhibin Zhou; Teresa Donateo. 2021. "Hybrid fuel cell powered drones energy management strategy improvement and hydrogen saving using real flight test data." Energy Conversion and Management 236, no. : 113987.

Journal article
Published: 31 January 2021 in International Journal of Electrical Power & Energy Systems
Reads 0
Downloads 0

The conventional electric power system is undergoing a transition from high fossil fuel dependence to significant renewable energy share primarily due to decreasing costs of renewable technologies, increasing environmental pollution, and favorable energy policies. The introduction of distributed energy resources with minimal power losses has also recently promoted the DC power systems deployment at small scale such as community-based DC microgrids. These systems allow the possibility of trading surplus energy from distributed energy resources with peer-to-peer (P2P) energy sharing. As power losses in a sharing scheme are non-linear concerning the distance between trading prosumers and power trade level, therefore, P2P energy sharing cannot be optimally managed with conventional factory-warehouse transportation techniques. In this work, we modeled a DC microgrid system with P2P sharing using a non-linear programming technique which allows the users to share their surplus energy from distributed energy resources with minimal system losses including distribution losses as well as conversion losses in comparison to conventionally employed factory-warehouse transportation technique. The proposed model is applied to a community microgrid having independent photovoltaic (PV) and battery systems installed at each house. Results show that the total system losses are reduced by up to 25% with the proposed optimization framework as compared to conventional factory-warehouse transportation sharing mechanism.

ACS Style

Saqib Iqbal; Mashood Nasir; Muhammad Fahad Zia; Kashif Riaz; Hadia Sajjad; Hassan Abbas Khan. A novel approach for system loss minimization in a peer-to-peer energy sharing community DC microgrid. International Journal of Electrical Power & Energy Systems 2021, 129, 106775 .

AMA Style

Saqib Iqbal, Mashood Nasir, Muhammad Fahad Zia, Kashif Riaz, Hadia Sajjad, Hassan Abbas Khan. A novel approach for system loss minimization in a peer-to-peer energy sharing community DC microgrid. International Journal of Electrical Power & Energy Systems. 2021; 129 ():106775.

Chicago/Turabian Style

Saqib Iqbal; Mashood Nasir; Muhammad Fahad Zia; Kashif Riaz; Hadia Sajjad; Hassan Abbas Khan. 2021. "A novel approach for system loss minimization in a peer-to-peer energy sharing community DC microgrid." International Journal of Electrical Power & Energy Systems 129, no. : 106775.

Journal article
Published: 23 December 2020 in IEEE Access
Reads 0
Downloads 0

The absence of the global best component in the update equation of the conventional firefly algorithm degrades its exploration properties. This research proposes multi-update position criteria to enhance the exploration properties of the conventional firefly technique while including the effect of the global best solution on the movement of the fireflies in the search space of the objective function. Moreover, the dynamic search space squeezing is applied to constrict the movement of the fireflies within the certain limits to avoid their oscillatory movement as the solution approaches towards the global best by determining the optimal trajectory for each firefly. The robustness of the suggested firefly algorithm is tested on a hybrid energy system consisting of thermal, hydroelectric, and Photovoltaic (PV) energy source. The intermittent nature of the PV energy source is explained using fractional integral polynomial model and Auto Regressive Integrated Moving Average (ARIMA) model. The main dispatch problem is successfully computed using both the modified firefly and the simple firefly algorithm by determining the optimal power share of each energy source for different scheduling intervals. The suggested operational strategy reduces the overall generation cost of the system while preserving the various system constraints. Due to the stochastic nature of the meta-heuristic techniques, the two suggested algorithms are compared statistically for different test cases using the independent t-test results. The statistical comparison suggests that the performance of the modified firefly is superior to its conventional counterpart as the evaluation parameters of the modified firefly converge to relatively lower value as compared to the parameters of the simple firefly algorithm.

ACS Style

Sheroze Liaquat; Muhammad Salman Fakhar; Syed Abdul Rahman Kashif; Akhtar Rasool; Omer Saleem; Muhammad Fahad Zia; Sanjeevikumar Padmanaban. Application of Dynamically Search Space Squeezed Modified Firefly Algorithm to a Novel Short Term Economic Dispatch of Multi-Generation Systems. IEEE Access 2020, 9, 1918 -1939.

AMA Style

Sheroze Liaquat, Muhammad Salman Fakhar, Syed Abdul Rahman Kashif, Akhtar Rasool, Omer Saleem, Muhammad Fahad Zia, Sanjeevikumar Padmanaban. Application of Dynamically Search Space Squeezed Modified Firefly Algorithm to a Novel Short Term Economic Dispatch of Multi-Generation Systems. IEEE Access. 2020; 9 ():1918-1939.

Chicago/Turabian Style

Sheroze Liaquat; Muhammad Salman Fakhar; Syed Abdul Rahman Kashif; Akhtar Rasool; Omer Saleem; Muhammad Fahad Zia; Sanjeevikumar Padmanaban. 2020. "Application of Dynamically Search Space Squeezed Modified Firefly Algorithm to a Novel Short Term Economic Dispatch of Multi-Generation Systems." IEEE Access 9, no. : 1918-1939.

Journal article
Published: 09 December 2020 in IEEE Access
Reads 0
Downloads 0

The conventional power system has been evolving towards a smart grid system for the past few decades. An integral step in successful realization of smart grid is to deploy renewable energy resources, particularly rooftop photovoltaic systems, at smart homes. With demand response opportunities in smart grid, residential customers can manage the utilization of their demand responsive appliances for getting economic benefits and incentives in return. In this regard, this paper proposes an effective home energy management system for residential customer to optimally schedule the demand responsive appliance in the presence of local photovoltaic and energy storage systems. For efficient home-to-grid energy transactions in home energy management system, the stochastic nature of photovoltaic power generation is modeled with the beta probability distribution function for solar irradiance. The main contribution of this paper is the application of polar bear optimization (PBO) method for optimally solving the scheduling problem of demand responsive appliances in home energy management system to minimize electricity consumption cost as well as peak-to-average ratio. The effectiveness of the proposed metaheuristic optimization technique is proven by performing different case studies for a residential consumer with different base load, uninterruptible deferrable, and interruptible deferrable appliances under a real-time energy price program. Comparative results with different metaheuristic techniques available in the literature show that the electricity consumption cost and peak-to-average ratio are effectively optimized using the proposed PBO algorithm.

ACS Style

Muhammad Muzaffar Iqbal; Muhammad Fahad Zia; Karim Beddiar; Mohamed Benbouzid. Optimal Scheduling of Grid Transactive Home Demand Responsive Appliances Using Polar Bear Optimization Algorithm. IEEE Access 2020, 8, 222285 -222296.

AMA Style

Muhammad Muzaffar Iqbal, Muhammad Fahad Zia, Karim Beddiar, Mohamed Benbouzid. Optimal Scheduling of Grid Transactive Home Demand Responsive Appliances Using Polar Bear Optimization Algorithm. IEEE Access. 2020; 8 (99):222285-222296.

Chicago/Turabian Style

Muhammad Muzaffar Iqbal; Muhammad Fahad Zia; Karim Beddiar; Mohamed Benbouzid. 2020. "Optimal Scheduling of Grid Transactive Home Demand Responsive Appliances Using Polar Bear Optimization Algorithm." IEEE Access 8, no. 99: 222285-222296.

Conference paper
Published: 15 September 2020 in 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)
Reads 0
Downloads 0

DC microgrids are gaining attention of researchers and engineers due to the increasing deployment of renewable energy sources with energy storage systems, enhanced utilization of DC power electronics devices, and added advantages of no harmonics and synchronization issues. They are viable solutions for providing electricity to off-grid remote communities, like islands and remote areas. However, they need energy management systems for optimally scheduling the distributed energy generation and storage systems. Hence, this paper proposes a supervisory energy management system for optimal operation of islanded DC microgrid. Energy management system is responsible for determining optimal scheduling of each energy source and ensuring maximum utilization of renewable energy sources and supply demand balance. The proposed energy management model has been validated experimentally and practical results prove the effectiveness of the proposed method.

ACS Style

Muhammad Fahad Zia; Mashood Nasir; Elhoussin Elbouchikhi; Mohamed Benbouzid; Juan C. Vasquez; Josep M. Guerrero. Energy Management System for an Islanded Renewables-based DC Microgrid. 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES) 2020, 543 -547.

AMA Style

Muhammad Fahad Zia, Mashood Nasir, Elhoussin Elbouchikhi, Mohamed Benbouzid, Juan C. Vasquez, Josep M. Guerrero. Energy Management System for an Islanded Renewables-based DC Microgrid. 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES). 2020; ():543-547.

Chicago/Turabian Style

Muhammad Fahad Zia; Mashood Nasir; Elhoussin Elbouchikhi; Mohamed Benbouzid; Juan C. Vasquez; Josep M. Guerrero. 2020. "Energy Management System for an Islanded Renewables-based DC Microgrid." 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES) , no. : 543-547.

Journal article
Published: 31 March 2020 in International Journal on Energy Conversion (IRECON)
Reads 0
Downloads 0
ACS Style

Mohamed Zine Zizoui; Bekheira Tabbache; Muhammad Fahad Zia; Mohamed Benbouzid. Control of Isolated Photovoltaic-Battery-Ultracapacitor Microgrid for Remote Areas. International Journal on Energy Conversion (IRECON) 2020, 8, 38 .

AMA Style

Mohamed Zine Zizoui, Bekheira Tabbache, Muhammad Fahad Zia, Mohamed Benbouzid. Control of Isolated Photovoltaic-Battery-Ultracapacitor Microgrid for Remote Areas. International Journal on Energy Conversion (IRECON). 2020; 8 (2):38.

Chicago/Turabian Style

Mohamed Zine Zizoui; Bekheira Tabbache; Muhammad Fahad Zia; Mohamed Benbouzid. 2020. "Control of Isolated Photovoltaic-Battery-Ultracapacitor Microgrid for Remote Areas." International Journal on Energy Conversion (IRECON) 8, no. 2: 38.

Journal article
Published: 22 January 2020 in IEEE Access
Reads 0
Downloads 0
ACS Style

Muhammad F. Zia; Mohamed Benbouzid; Elhoussin Elbouchikhi; S. M. Muyeen; Kuaanan Techato; Josep M. Guerrero. Microgrid Transactive Energy: Review, Architectures, Distributed Ledger Technologies, and Market Analysis. IEEE Access 2020, 8, 19410 -19432.

AMA Style

Muhammad F. Zia, Mohamed Benbouzid, Elhoussin Elbouchikhi, S. M. Muyeen, Kuaanan Techato, Josep M. Guerrero. Microgrid Transactive Energy: Review, Architectures, Distributed Ledger Technologies, and Market Analysis. IEEE Access. 2020; 8 ():19410-19432.

Chicago/Turabian Style

Muhammad F. Zia; Mohamed Benbouzid; Elhoussin Elbouchikhi; S. M. Muyeen; Kuaanan Techato; Josep M. Guerrero. 2020. "Microgrid Transactive Energy: Review, Architectures, Distributed Ledger Technologies, and Market Analysis." IEEE Access 8, no. : 19410-19432.

Conference paper
Published: 01 October 2019 in IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
Reads 0
Downloads 0

Prosumers concept has evolved with the technology advancements in renewable energy sources and intelligent responsive load devices. Digitalization paves the way for prosumers participation in energy market with the help of big data and distributed ledger technologies. Hence, power system is becoming more decentralized at distributed level, which consists of prosumers, consumers, and distributed energy resources-based microgrid systems. These microgrid participants require a transactive energy system for energy price signals-based smooth energy transactions among themselves. In this regard, this paper proposes a microgrid transactive energy system design and its functional layers. Blockchain-based transactive energy systems are also discussed. Finally, the peer-to-peer and community-based energy markets are presented.

ACS Style

Muhammad Fahad Zia; Elhoussin Elbouchikhi; Mohamed Benbouzid; Josep Guerrero. Microgrid Transactive Energy Systems: A Perspective on Design, Technologies, and Energy Markets. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society 2019, 1, 5795 -5800.

AMA Style

Muhammad Fahad Zia, Elhoussin Elbouchikhi, Mohamed Benbouzid, Josep Guerrero. Microgrid Transactive Energy Systems: A Perspective on Design, Technologies, and Energy Markets. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. 2019; 1 ():5795-5800.

Chicago/Turabian Style

Muhammad Fahad Zia; Elhoussin Elbouchikhi; Mohamed Benbouzid; Josep Guerrero. 2019. "Microgrid Transactive Energy Systems: A Perspective on Design, Technologies, and Energy Markets." IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society 1, no. : 5795-5800.

Conference paper
Published: 23 September 2019 in IOP Conference Series: Earth and Environmental Science
Reads 0
Downloads 0

Microgrids are becoming a viable solution for satisfying energy demand of rural and remote areas. Indeed, energy demand of islands can be met by renewable energy sources, energy storage systems, and micro-conventional generation sources-based microgrid systems. The optimal scheduling of these energy sources requires an energy management system for microgrids. Bretagne region in France has huge potential in marine renewable energy sources. Therefore, islands in this region can use tidal turbines with other energy sources to meet their local energy consumption. A case study of stand-alone marine microgrid system for Ouessant island is proposed in this paper. The considered microgrid includes PV system, tidal turbine, diesel generator, and Li-ion battery. The architecture and optimal scheduling of the developed microgrid system is presented to reduce operating and maintenance costs. The developed energy management architecture can help microgrid systems planning for islands in the near future.

ACS Style

Muhammad Fahad Zia; E Elbouchikhi; M E H Benbouzid. An Energy Management System for Hybrid Energy Sources-based Stand-alone Marine Microgrid. IOP Conference Series: Earth and Environmental Science 2019, 322, 012001 .

AMA Style

Muhammad Fahad Zia, E Elbouchikhi, M E H Benbouzid. An Energy Management System for Hybrid Energy Sources-based Stand-alone Marine Microgrid. IOP Conference Series: Earth and Environmental Science. 2019; 322 (1):012001.

Chicago/Turabian Style

Muhammad Fahad Zia; E Elbouchikhi; M E H Benbouzid. 2019. "An Energy Management System for Hybrid Energy Sources-based Stand-alone Marine Microgrid." IOP Conference Series: Earth and Environmental Science 322, no. 1: 012001.

Journal article
Published: 16 May 2019 in IEEE Transactions on Industry Applications
Reads 0
Downloads 0

Conventional generation sources mainly provide energy supply to remote areas nowadays. However, due to growing concerns over greenhouse gas emissions, integration of renewable energy sources is mandatory to meet power demand and reduce climatic effects. The advancements in renewable generation sources and battery storage systems pave the way for microgrids. Microgrids are becoming a viable solution for power supply shortage problems in remote area applications, such as oceanic islands. In this paper, an islanded microgrid, which consists of PV system, tidal turbine, diesel generator, and Li-ion battery, is considered for Ouessant island in Brittany region in France. The economic operation of the microgrid is achieved by including battery degradation cost, levelized costs of energy of PV system and tidal turbine, operating and emission costs of diesel generator, and network constraints. The developed model leads to a non-linear and non-convex problem, which unfortunately can converge to a local optimum solution. The problem has therefore been relaxed and converted to a convex second-order cone model to achieve an optimal decision strategy for islanded microgrid operation with a global or near-global solution. Numerical simulations are carried out to prove the effectiveness of the proposed strategy in reducing the operating and emission costs of the islanded microgrid. It is shown that the developed convex EMS formulation has an optimality gap of less than 1% with reduced computational cost.

ACS Style

Muhammad Fahad Zia; Elhoussin Elbouchikhi; Mohamed Benbouzid; Josep M. Guerrero. Energy Management System for an Islanded Microgrid With Convex Relaxation. IEEE Transactions on Industry Applications 2019, 55, 7175 -7185.

AMA Style

Muhammad Fahad Zia, Elhoussin Elbouchikhi, Mohamed Benbouzid, Josep M. Guerrero. Energy Management System for an Islanded Microgrid With Convex Relaxation. IEEE Transactions on Industry Applications. 2019; 55 (6):7175-7185.

Chicago/Turabian Style

Muhammad Fahad Zia; Elhoussin Elbouchikhi; Mohamed Benbouzid; Josep M. Guerrero. 2019. "Energy Management System for an Islanded Microgrid With Convex Relaxation." IEEE Transactions on Industry Applications 55, no. 6: 7175-7185.

Journal article
Published: 14 January 2019 in Applied Energy
Reads 0
Downloads 0

With the advancements in power electronic devices, the increasing use of DC loads, DC renewable generation sources and battery storage systems, and no reactive power and frequency stability issues, DC microgrids are increasingly gaining attention in both academia and industry. In this paper, a grid-connected DC microgrid is considered, which consists of a PV system and a Li-ion battery. DC microgrids optimal operation requires battery degradation cost modeling and demand response incentive for active consumers’ participation to be addressed in detail. Therefore, a practical degradation cost model for a Li-ion battery is developed to optimize battery scheduling and achieve its realistic operational cost. Apart from energy price, scheduled islanding responsive demand response incentive is also introduced to encourage customers to shift load during scheduled grid-tie line maintenance. Levelized cost of energy of PV system is calculated for both hot and cold climate regions. Optimal operation of DC microgrid cannot be achieved without considering nodal voltages and system losses. Hence, network constraints are also included in the proposed model. Extensive numerical simulations are carried out to prove the effectiveness of the proposed approach. The achieved results would aid in DC microgrids adoption planning that would expectedly replace traditional AC grids in the future.

ACS Style

Muhammad Fahad Zia; Elhoussin Elbouchikhi; Mohamed Benbouzid. Optimal operational planning of scalable DC microgrid with demand response, islanding, and battery degradation cost considerations. Applied Energy 2019, 237, 695 -707.

AMA Style

Muhammad Fahad Zia, Elhoussin Elbouchikhi, Mohamed Benbouzid. Optimal operational planning of scalable DC microgrid with demand response, islanding, and battery degradation cost considerations. Applied Energy. 2019; 237 ():695-707.

Chicago/Turabian Style

Muhammad Fahad Zia; Elhoussin Elbouchikhi; Mohamed Benbouzid. 2019. "Optimal operational planning of scalable DC microgrid with demand response, islanding, and battery degradation cost considerations." Applied Energy 237, no. : 695-707.

Conference paper
Published: 01 November 2018 in 2018 IEEE 21st International Multi-Topic Conference (INMIC)
Reads 0
Downloads 0

Hybrid power generation system not only reduces our dependency on fossil fuel power generation stations but also helps us to meet the peak load demand. Renewable energy resources such as solar and wind in hybrid power generation system can play a vital role in reducing fuel cost and emission of conventional power generation system. In this paper, energy scheduling of hybrid power generation system is carried out by considering the fuel cost of thermal power generators and their emissions. Different optimization techniques, genetic algorithm, pattern search method, and interior point algorithm are used in this paper to optimally schedule the energy required from the thermal power generators to meet the load demand by taking into account the power from the renewable energy resources. These optimization techniques are compared in respect of fuel cost, emissions and computational time complexity. Interior point algorithm outperforms patter search method and genetic algorithm. It achieves more reduced fuel cost and emission as compared to pattern search method and genetic algorithm.

ACS Style

Abdullah Zafar; Amish Shafique; Zunaira Nazir; Muhammad Fahad Zia. A Comparison of Optimization Techniques for Energy Scheduling of Hybrid Power Generation System. 2018 IEEE 21st International Multi-Topic Conference (INMIC) 2018, 1 -6.

AMA Style

Abdullah Zafar, Amish Shafique, Zunaira Nazir, Muhammad Fahad Zia. A Comparison of Optimization Techniques for Energy Scheduling of Hybrid Power Generation System. 2018 IEEE 21st International Multi-Topic Conference (INMIC). 2018; ():1-6.

Chicago/Turabian Style

Abdullah Zafar; Amish Shafique; Zunaira Nazir; Muhammad Fahad Zia. 2018. "A Comparison of Optimization Techniques for Energy Scheduling of Hybrid Power Generation System." 2018 IEEE 21st International Multi-Topic Conference (INMIC) , no. : 1-6.

Review
Published: 01 July 2018 in Applied Energy
Reads 0
Downloads 0
ACS Style

Muhammad Fahad Zia; Elhoussin Elbouchikhi; Mohamed Benbouzid. Microgrids energy management systems: A critical review on methods, solutions, and prospects. Applied Energy 2018, 222, 1033 -1055.

AMA Style

Muhammad Fahad Zia, Elhoussin Elbouchikhi, Mohamed Benbouzid. Microgrids energy management systems: A critical review on methods, solutions, and prospects. Applied Energy. 2018; 222 ():1033-1055.

Chicago/Turabian Style

Muhammad Fahad Zia; Elhoussin Elbouchikhi; Mohamed Benbouzid. 2018. "Microgrids energy management systems: A critical review on methods, solutions, and prospects." Applied Energy 222, no. : 1033-1055.

Journal article
Published: 01 January 2017 in Advances in Electrical and Computer Engineering
Reads 0
Downloads 0

Photovoltaic (PV) system has a great potential and it is installed more when compared with other renewable energy sources nowadays. However, the PV system cannot perform optimally due to its solid reliance on climate conditions. Due to this dependency, PV system does not operate at its maximum power point (MPP). Many MPP tracking methods have been proposed for this purpose. One of these is the Perturb and Observe Method (P&O) which is the most famous due to its simplicity, less cost and fast track. But it deviates from MPP in continuously changing weather conditions, especially in rapidly changing irradiance conditions. A new Maximum Power Point Tracking (MPPT) method, Tetra Point Perturb and Observe (TPPO), has been proposed to improve PV system performance in changing irradiance conditions and the effects on characteristic curves of PV array module due to varying irradiance are delineated. The Proposed MPPT method has shown better results in increasing the efficiency of a PV system

ACS Style

M. A. Abbasi; M. F. Zia. Novel TPPO Based Maximum Power Point Method for Photovoltaic System. Advances in Electrical and Computer Engineering 2017, 17, 95 -100.

AMA Style

M. A. Abbasi, M. F. Zia. Novel TPPO Based Maximum Power Point Method for Photovoltaic System. Advances in Electrical and Computer Engineering. 2017; 17 (3):95-100.

Chicago/Turabian Style

M. A. Abbasi; M. F. Zia. 2017. "Novel TPPO Based Maximum Power Point Method for Photovoltaic System." Advances in Electrical and Computer Engineering 17, no. 3: 95-100.

Conference paper
Published: 01 October 2016 in IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
Reads 0
Downloads 0

In distribution systems, load demand can exceed the feeder thermal limit during peak demand periods and cause system damage. This situation can be prevented by load shedding, which results in financial losses to utilities and customers. The problem can be countered by utilizing energy storage systems (ESS) properly. In this paper, we formulate an optimization problem combining the utilization of ESS and wind power in a typical distribution system, whereby real power is optimally scheduled in an electricity market under the constraint that the load demand cannot exceed feeder thermal limit. This approach ensures the reliable operation of the power distribution system and prevents outages. The developed optimization problem is solved for a typical distribution system. The results clearly demonstrate the economical operation of ESS with wind power in distribution systems to prevent outages and maximize the ESS profit.

ACS Style

Ibrahim El Amin; Muhammad Fahad Zia; Shafiullah. Selecting energy storage systems with wind power in distribution network. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society 2016, 4229 -4234.

AMA Style

Ibrahim El Amin, Muhammad Fahad Zia, Shafiullah. Selecting energy storage systems with wind power in distribution network. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society. 2016; ():4229-4234.

Chicago/Turabian Style

Ibrahim El Amin; Muhammad Fahad Zia; Shafiullah. 2016. "Selecting energy storage systems with wind power in distribution network." IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society , no. : 4229-4234.

Proceedings article
Published: 01 April 2016 in 2016 4th International Istanbul Smart Grid Congress and Fair (ICSG)
Reads 0
Downloads 0

The electrical energy cannot be stored in large scale because we have no resource to store it in bulk. It has to be produced, transmitted, distributed and used instantly. However the nature of the load is variable with respect to time. The power generating plants are designed for maximum demand. It means the gap between peak load and the average load is high which results in greater per unit cost. The peak load increases suddenly in peak hours so we need to install large power generating plants to meet peak demand. It is not possible for developing countries to install such large power generating units due to limited financial resources. The proposed solution of this problem is Demand Side Management (DSM) technique. In Demand Side Management (DSM) technique the load is shifted to off peak hours which results in financial benefit to residential customers. DSM is an important part of Smart Grid (SG) which is used to shift load to off peak timings as well as reshape load curve. As a result, importance of SG increases and there is a decrease in per unit energy cost. However this research thesis revolves around DSM load shifting techniques for only flexible devices. The flexible devices should be shifted to off peak period. “The Day Ahead Shifting” technique is proposed in this research thesis to minimize the above said problem significantly. Mathematical modelling and simulation in this research thesis are based on residential load during the spring season in Pakistan. This algorithm is developed in Matlab software. The findings of this thesis suggest that DSM approach attains significant energy savings and objective curve.

ACS Style

Majid Ali; Muhammad Fahad Zia; Muhammad Waqas Sundhu. Demand side management proposed algorithm for cost and peak load optimization. 2016 4th International Istanbul Smart Grid Congress and Fair (ICSG) 2016, 1 -5.

AMA Style

Majid Ali, Muhammad Fahad Zia, Muhammad Waqas Sundhu. Demand side management proposed algorithm for cost and peak load optimization. 2016 4th International Istanbul Smart Grid Congress and Fair (ICSG). 2016; ():1-5.

Chicago/Turabian Style

Majid Ali; Muhammad Fahad Zia; Muhammad Waqas Sundhu. 2016. "Demand side management proposed algorithm for cost and peak load optimization." 2016 4th International Istanbul Smart Grid Congress and Fair (ICSG) , no. : 1-5.

Conference paper
Published: 01 December 2015 in 2015 International Conference on Open Source Systems & Technologies (ICOSST)
Reads 0
Downloads 0

Economic load dispatch problem becomes complex, when renewable energy sources are also considered with thermal power plant. Therefore, it is challenging to find the optimal solution at lower fuel cost, such that generation meets the load demand. This paper is mainly aimed to design economic load dispatch model for thermal and wind power plants. Due to the varying nature of wind speed, probabilistic approach is used to solve the economic load dispatch problem and wind power is considered as a constraint. The genetic algorithm based optimization approach is used to solve the developed economic load dispatch problem. The main idea behind genetic algorithm is that, all generators should optimally supply the required electricity load demand at minimum fuel cost, while satisfying all the system constraints. Through GA, the feasible range of optimal solutions can be found, and the output power of thermal units can be restricted. The simulations are performed on test system, one with six thermal generators and a wind farm, using Matlab.

ACS Style

Fahad Khan Khosa; Muhammad Fahad Zia; Abdul Aziz Bhatti. Genetic algorithm based optimization of economic load dispatch constrained by stochastic wind power. 2015 International Conference on Open Source Systems & Technologies (ICOSST) 2015, 36 -40.

AMA Style

Fahad Khan Khosa, Muhammad Fahad Zia, Abdul Aziz Bhatti. Genetic algorithm based optimization of economic load dispatch constrained by stochastic wind power. 2015 International Conference on Open Source Systems & Technologies (ICOSST). 2015; ():36-40.

Chicago/Turabian Style

Fahad Khan Khosa; Muhammad Fahad Zia; Abdul Aziz Bhatti. 2015. "Genetic algorithm based optimization of economic load dispatch constrained by stochastic wind power." 2015 International Conference on Open Source Systems & Technologies (ICOSST) , no. : 36-40.

Conference paper
Published: 01 September 2014 in 2014 16th International Power Electronics and Motion Control Conference and Exposition
Reads 0
Downloads 0

This paper presents a novel algorithm for tracking the true maximum power point (MPP) for a photovoltaic (PV) system under partial shading conditions using variable step size. At uniform irradiance, due to nonlinear VI characteristics of PV array, there exists a unique MPP at which the solar array produces the maximum output power. However, under partial shading conditions, there exist multiple peaks on VI and PV characteristics that give rise to local and global MPP's. In order to obtain the optimum output, global MPP must be tracked via an intelligent algorithm capable of distinction between local and global maximum power points. Further, the proposed algorithm must be robust and exhibiting fast response to ambient conditions. In this paper, a Photovoltaic system is explicitly modeled and by modifying the existing Perturbation and Observation (P&O) algorithm, a robust, optimized and efficient algorithm for the global maximum power point tracking (GMPPT) is formulated. The proposed algorithm is an extension of commonly used P&O method in which variable step size ensure fast convergence to GMPPT and power measurement of the PV array avoids false readings. Simulation results show that the newly formed algorithm has a greater degree of accuracy at constant and varying changing irradiance level under partial shading.

ACS Style

Mashood Nasir; Muhammad Fahad Zia. Global maximum power point tracking algorithm for photovoltaic systems under partial shading conditions. 2014 16th International Power Electronics and Motion Control Conference and Exposition 2014, 1 .

AMA Style

Mashood Nasir, Muhammad Fahad Zia. Global maximum power point tracking algorithm for photovoltaic systems under partial shading conditions. 2014 16th International Power Electronics and Motion Control Conference and Exposition. 2014; ():1.

Chicago/Turabian Style

Mashood Nasir; Muhammad Fahad Zia. 2014. "Global maximum power point tracking algorithm for photovoltaic systems under partial shading conditions." 2014 16th International Power Electronics and Motion Control Conference and Exposition , no. : 1.