Papers by Meysam Shamshiri
Technology advancement, the drive to reduce environmental pollution and energy security concern, ... more Technology advancement, the drive to reduce environmental pollution and energy security concern, have led to an increase in the use of Distributed Generations (DGs). One of the important aspects of the power system is the optimal operation of distribution networks. Therefore, the objective of this paper is to determine the possible solution for optimal operation of distribution networks which takes into account the impact of DG. Since the optimal operation of distribution networks is an optimization problem with discrete and continuous variables, it can be introduced as an integer problem that can be formulated using the metaheuristic approach. This paper utilizes the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. In addition, a case study on IEEE 34 bus system has been carried out to demonstrate the effectiveness of the PSO algorithm with regards to Genetic Algorithm (GA). Results indicate that PSO have better performance over the GA in terms of cost of losses minimization and convergence time. Future work should consider to minimize the overall network cost simultaneously that takes into account the DG investment cost, cost of losses and maintenance cost.
Modelling and Simulation of Islanding Detection in Microgrid
2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)
ABSTRACT
Optimum Feeder Routing and Distribution Substation Placement and Sizing Using PSO and MST
Indian Journal of Science and Technology, Oct 12, 2014
Optimal Capacitor Allocation in Distribution System using Particle Swarm Optimization
Capacitor installation is one of the most commonly used methods for reactive power compensation i... more Capacitor installation is one of the most commonly used methods for reactive power compensation in the distribution networks. In this paper, the optimum capacitor placement and its sizing has been applied in the distribution network in terms of power losses minimization and voltage profile improvement. The maximum and minimum bus voltage and the maximum possible capacitor size are the constraints of optimum capacitor placement and sizing problem. There are considered as the penalty factor in the objective function. In order to evaluate the obtained objective function, the Particle Swarm Optimization (PSO) is utilized to find the best possible capacitor placement and capacity. The OpenDSS software has then been utilized to solve the power flow through Matlab coding interface. To validate the functionality of the proposed method, the IEEE 13-bus test system is implemented and the obtained results have been compared with the IEEE standard case without capacitor compensation. The results show that the proposed algorithm is more cost effective and has lower power losses as compared to the IEEE standard case. In addition, the voltage profile has been improved, accordingly.
Optimum Frequency Droop Control of Islanded Micro-grid Using PID-PSO Controller
International Review of Automatic Control, May 31, 2014
Probabilistic evaluation of the impact of residential photovoltaic system on Malaysia low-voltage network using Monte Carlo approach
Journal of Renewable and Sustainable Energy, 2015
Integration of PV system into LV distribution networks with Demand Response application
2015 IEEE Eindhoven PowerTech, 2015
Design of a Hybrid Diesel/PV/Wind/Battery System in Remote Areas
Optimum Frequency Droop Control of Islanded Micro-grid Using PID-PSO Controller
Optimum Feeder Routing and Distribution Substation Placement and Sizing Using PSO and MST
Optimal Capacitor Allocation in Distribution System Using Particle Swarm Optimization
Applied Mechanics and Materials, 2014
Capacitor installation is one of the most commonly used methods for reactive power compensation i... more Capacitor installation is one of the most commonly used methods for reactive power compensation in the distribution networks. In this paper, the optimum capacitor placement and its sizing has been applied in the distribution network in terms of power losses minimization and voltage profile improvement. The maximum and minimum bus voltage and the maximum possible capacitor size are the constraints of optimum capacitor placement and sizing problem. There are considered as the penalty factor in the objective function. In order to evaluate the obtained objective function, the Particle Swarm Optimization (PSO) is utilized to find the best possible capacitor placement and capacity. The OpenDSS software has then been utilized to solve the power flow through Matlab coding interface. To validate the functionality of the proposed method, the IEEE 13-bus test system is implemented and the obtained results have been compared with the IEEE standard case without capacitor compensation. The result...
Performance Assessment of Slip Mode Frequency Shift (SMS) Islanding Detection Methods
Applied Mechanics and Materials, 2014
The awareness concerning the grid connected Photovoltaic (PV) has become vital and a major concer... more The awareness concerning the grid connected Photovoltaic (PV) has become vital and a major concern nowadays. Islanding detection is one of the most dominant challenges for distributed generation system connected to the utility grid. In addition, islanding has not been a preferable option as it may pose safety hazard and may cause damage to power generation and power supply facilities as a result of unsynchronized re-closer. Therefore, the islanding detection techniques are needed to ensure safe and reliable system operation. One of the established islanding prevention methods is the Slip Mode Frequency Shift (SMS) islanding method, which has numerous advantages over the other techniques. This paper investigates the active islanding detection methods and specifically focused on the SMS islanding method. The results show that the SMS islanding method successfully detected an unintentional fault and managed to isolate the system within the prescribed time range.
The large penetration of solar photovoltaic (PV) system at Low Voltage (LV) network has started t... more The large penetration of solar photovoltaic (PV) system at Low Voltage (LV) network has started to introduce new challenges for the distribution network operators. With the emergence of smart grid technology, Demand Response (DR) has been identified as one of the promising ways for network operators to increase operational flexibility, particularly under the presence of renewable energy resources. Therefore, it is important to investigate as how DR application at LV consumer level can help to improve network performance. However, limited number of works has so far addressing the implications of DR at LV networks with the presence of PV system. The parametric analysis of the benefits of DR has not been adequately addressed for LV networks with multiple DR-PV interaction scenarios. In this regard, three case studies have been considered in this work, namely, consumers who respond to their own demand profile, consumers who respond to PV generation profile and the optimized demand response from consumers. The fractal-based approach has been utilized to model a large number of urban LV networks. Subsequently, Particle Swarm Optimization technique is utilized to model individual consumers’ optimized DR profiles. Comprehensive network case studies are performed considering 100 urban LV network samples under the influence of different DR-PV scenarios. The results suggest that with 100% of PV penetration, DR applications at residential consumer level can achieve 32% of peak reduction, reduce network losses by 42% and 12% increment in the load factor for the optimized demand response case.
IEEE
The inefficiency of the existing electricity transmission system has led to supply interruption t... more The inefficiency of the existing electricity transmission system has led to supply interruption to the grid system. The unscheduled supply interruption is triggered by several reasons which draw attention to the connection of micro generation especially to Low Voltage (LV) network. Malaysia requires an extensive research in order to implement a new and feasible grid named MG. According to the IEEE 1547.4, the vital issue in the MG is active power. To investigate the MG operation, the MG modelling was established to cope with this problem. These model tested five cases of transition modes between grid and MG based on IEEE Standard 1547.4 and TNB Guidelines were simulated using Matlab/Simulink. Each case was analysed based on the switching time on power systems and fault insertion to show the transition in terms of active power between both power systems and operation modes.
Capacitor installation is one of the common methods of the reactive power compensation in power d... more Capacitor installation is one of the common methods of the reactive power compensation in power distribution networks. In this paper, the optimum capacitor placement and sizing has been executed in the distribution network in terms of power losses minimization and voltage profile improvement. The maximum and minimum bus voltage and maximum possible capacitor size are the constraints of optimum capacitor placement and sizing problem which considered as a penalty factor in the objective function. In order to solve the obtained objective function, the Particle Swarm Optimization (PSO) is utilized to find the best possible capacitor placement and size. The OpenDSS engine is utilized to solve the power flow through Matlab coding interface. To validate the functionality of the proposed method, the IEEE 13 node and IEEE 123 node test systems are implemented. In both cases, the optimum capacitor allocation has been applied by the proposed PSO to find the best possible capacitor location and size. The result shows that the proposed algorithm is more cost effective and has lower power losses compare to the IEEE standard case. In addition, the voltage profile has been improved.
IEEE, 2012
In recent decades, smart grid have become increasingly attractive to both energy producers and co... more In recent decades, smart grid have become increasingly attractive to both energy producers and consumers. Amongst the main challenges for the successful realization of smart grid includes the integration of renewable energy resources, real time demand response and management of intermittent energy resources. Apart from smart grid, the development of micro-grids should take into consideration of issues such as the system performance, modeling, monitoring and controlling of the micro-grids. In particular, the recent advancements in information and communication technologies (ICTs) could facilitate the effective development of the future micro-grid system. This paper presents an overview of smart grids features and highlights the recent development of micro-grid laboratories in Europe, US and Japan.
Australian Journal of Basic and Applied Sciences (AJBAS), 2013
Technology advancement, the drive to reduce environmental pollution and energy security concern, ... more Technology advancement, the drive to reduce environmental pollution and energy security concern, have led to an increase in the use of Distributed Generations (DGs). One of the important aspects of the power system is the optimal operation of distribution networks. Therefore, the objective of this paper is to determine the possible solution for optimal operation of distribution networks which takes into account the impact of DG. Since the optimal operation of distribution networks is an optimization problem with discrete and continuous variables, it can be introduced as an integer problem that can be formulated using the metaheuristic approach. This paper utilizes the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. In addition, a case study on IEEE 34 bus system has been carried out to demonstrate the effectiveness of the PSO algorithm with regards to Genetic Algorithm (GA). Results indicate that PSO have better peformance over the GA in terms of cost of losses minimization and convergence time. Future work should consider to minimize the overall network cost simultaneously that takes into account the DG investment cost, cost of losses and maintenance cost.
Power and Energy Conversion Symposium (PECS 2012), 2012
Nowadays, the standards of industrial civilization are known as a reliable solution and consequen... more Nowadays, the standards of industrial civilization are known as a reliable solution and consequently, comprehensive standards for power system has been developed for use in national and international networks. Malaysia's efforts to develop power system utilization standards are still ongoing and maturing. However, in some cases it is observed that the standards are not be considered in the power system. In the results, besides reducing productivity, quality, and losing, risks and hazards are realized residents, staff, equipment and electrical installations and facilities. This paper discusses the consideration of the standards of the Micro-Grids (MGs), Islanding and Demand Side Management (DMS) that can be applied in the power system network. Aspects and standards of each role in the power system network are described in the following subsection.
Power and Energy Conversion Symposium (PECS 2012), 2012
Nowadays, technology advancement, the drive to reduce environmental pollution and power system re... more Nowadays, technology advancement, the drive to reduce environmental pollution and power system restructuring have caused the increase in the utilization of Distributed Generations (DGs). One of the important aspects of the power system is the optimal operation of distribution networks. Therefore, the main objective of this paper is to investigate and to find the best solution for optimal operation of distribution networks which takes into account the impact of DG. Since optimal operation of distribution networks is an optimization problem with discrete and continuous variables, so it can be introduced as an integer problem that can be formulated by metaheuristic. In this regards, this paper presents the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. In addition, case study on IEEE 34 bus system have been carried out to demonstrate the effectiveness of the PSO algorithm. And finally the performance of PSO algorithm is compared with Genetic Algorithm (GA).
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Papers by Meysam Shamshiri