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This study formulated a bi‐level mixed integer non‐linear optimization planning and operation model for the optimal configuration (location, capacity, and power ratings) of energy storage systems (ESSs) in power transmission networks. The model was formulated with consideration for independent and correlated wind farms. The single objective function in the inner layer of the bi‐level model includes the difference between the total daily expected operational cost of conventional generators and the energy arbitrage benefits derived when considering the operational strategies of ESSs. The outer layer is a multi‐objective function composed of three objective functions to be minimized. The objective functions encompass the total daily expected planning and operational cost, total daily expected emission, and the maximum expected voltage deviation. Wind power uncertainties in independent and correlated wind farms were also examined. Multivariate model‐based Clayton copulas, which represent joint power distribution amongst correlated wind farms, were discretized using a developed five‐point estimation method based on the discretization. A hybrid non‐dominating sorted genetic algorithm and multi‐objective particle swarm optimization were used to minimize the outer layer objective function, whilst fast Tabu search that considers the probabilistic load flow represented by wind power uncertainties and the operational strategies of ESSs was adopted to minimize the inner layer objective function. An IEEE 57‐bus system was subjected to a case study using the proposed two‐stage model. The simulation results confirmed the advantage of considering the benefits of a peak shaving operational strategy from economic, technical, and environmental points of view.
Ahmad AL Ahmad; Reza Sirjani. Optimal planning and operational strategy of energy storage systems in power transmission networks: An analysis of wind farms. International Journal of Energy Research 2021, 45, 11258 -11283.
AMA StyleAhmad AL Ahmad, Reza Sirjani. Optimal planning and operational strategy of energy storage systems in power transmission networks: An analysis of wind farms. International Journal of Energy Research. 2021; 45 (7):11258-11283.
Chicago/Turabian StyleAhmad AL Ahmad; Reza Sirjani. 2021. "Optimal planning and operational strategy of energy storage systems in power transmission networks: An analysis of wind farms." International Journal of Energy Research 45, no. 7: 11258-11283.
Despite the increasing utilization of renewable energy resources, such as solar and wind energy, most residential buildings still rely on conventional energy supply by public utility services. Such utility services often use time-of-use energy pricing, which compels residential consumers to reduce their energy usage. This paper presents a wireless home energy management (HEM) system that enables the automatic control of home appliances to reduce energy consumption to assist such energy users. The system consists of multiple smart sockets that measure the energy that is consumed by the connected appliances and are capable of implementing on/off commands. The system includes other support components for supplying data to a central controller, which utilizes a rule-based HEM algorithm. The control rules were designed, such that the lifestyle of the user would be preserved while the energy consumption and daily energy cost were reduced. The experimental results showed that the central controller could effectively receive data and control multiple devices. The system was also found to afford significant reductions of 23.5 kWh and $2.898 in the total daily energy consumption and bill of the considered household setup, respectively. The proposed HEM system promises to be particularly useful for households with a high daily energy consumption.
Hussain Shareef; Eslam Al-Hassan; Reza Sirjani. Wireless Home Energy Management System with Smart Rule-Based Controller. Applied Sciences 2020, 10, 4533 .
AMA StyleHussain Shareef, Eslam Al-Hassan, Reza Sirjani. Wireless Home Energy Management System with Smart Rule-Based Controller. Applied Sciences. 2020; 10 (13):4533.
Chicago/Turabian StyleHussain Shareef; Eslam Al-Hassan; Reza Sirjani. 2020. "Wireless Home Energy Management System with Smart Rule-Based Controller." Applied Sciences 10, no. 13: 4533.
Wind power integration with high penetration in a power system is indispensable. However, wind power integration, especially with high level, raises the power system instability problems due to its natural variability and unpredictability, which increases system uncertainties. Thus, uncertainties and correlations amongst wind farms should be considered in a power system operation and planning. One of the best solutions for facilitating the wind power integration is the installation of an energy storage system (ESS). However, the location and sizing of ESSs should be optimally planned to achieve maximum benefits such as minimising total cost, time shifting, reliability and power quality enhancement, minimising power loss, improving the power factor and providing environmental support. In this paper, a new probabilistic discretising method is derived and developed to discretise the continuous joint power distribution of correlated wind farms. Combining the new probabilistic discretising method with a multi-objective hybrid particle swarm optimisation (MOPSO) and non-dominated sorting genetic algorithm (NSGAII), a new hybrid probabilistic optimisation algorithm is proposed. The proposed hybrid algorithm aims to search for the best location and size of energy storage system (ESSs) and considers the power uncertainties of multi-correlated wind farms. The objective functions to be minimised include a system's total expected cost restricted by investment budget, total expected voltage deviation and total expected carbon emission. IEEE 30-bus and IEEE 57-bus systems are adopted to perform the case studies using the proposed hybrid probabilistic optimisation algorithm. The simulation results demonstrate the effectiveness of the proposed hybrid method in solving the optimal allocation problem of ESSs and considering the uncertainties of wind farms’ output power and the correlation amongst them.
Ahmad AL Ahmad; Reza Sirjani; Sahand Daneshvar. New hybrid probabilistic optimisation algorithm for optimal allocation of energy storage systems considering correlated wind farms. Journal of Energy Storage 2020, 29, 101335 .
AMA StyleAhmad AL Ahmad, Reza Sirjani, Sahand Daneshvar. New hybrid probabilistic optimisation algorithm for optimal allocation of energy storage systems considering correlated wind farms. Journal of Energy Storage. 2020; 29 ():101335.
Chicago/Turabian StyleAhmad AL Ahmad; Reza Sirjani; Sahand Daneshvar. 2020. "New hybrid probabilistic optimisation algorithm for optimal allocation of energy storage systems considering correlated wind farms." Journal of Energy Storage 29, no. : 101335.
The growth of demand, the need for economic efficiency and optimal utilisation of electric power networks and the high cost of construction of new power networks result in inevitable challenges, such as overloading and excessive power transfer along transmission lines, high losses, voltage instability, low power quality, reliability problems and voltage profile problems. To manage the power transmission system, the recently developed Flexible AC Transmission System (FACTS) can be used for electric transmission networks since it plays an important role in enhancing the static and dynamic performance of power systems. However, location, type and capacity of FACTS devices should be optimised to maximise the resulting benefits. In this paper, different types of FACTS devices are discussed along with their modelling and functions. In addition, the proposed and the compared techniques and approaches in the existing research works, such as analytic approaches, arithmetic programming methods, meta-heuristic optimisation techniques and hybrid methods, are discussed. Analytic approaches have insufficient computation accuracy in determining optimal allocation of FACTS devices and arithmetic programming approaches are often inefficient in managing constrained optimisation problems. However, meta-heuristic approaches are stochastic, population-based optimisation algorithms that are highly efficient in dealing with a multimodal, highly constrained, multi-objective and discrete system. Meta-heuristic techniques are the most commonly used methodologies to determine the optimal allocation of FACTS devices. Furthermore, the utilisation of analytic methods or classical optimisation approaches with meta-heuristic optimisation techniques plays an important role in reducing the search space of the proposed meta-heuristic optimisation technique. In the present paper, an overall review of 50 recent research work studies, including proposed and compared approaches and techniques, objective functions, approaches, the utilised FACTS devices, constraints, contingency conditions and all the analysed and simulated parameters, is provided and discussed in details. In addition, a more weighted discussion of the proposed methods based on meta-heuristic optimisation techniques is provided.
Ahmad AL Ahmad; Reza Sirjani. Optimal placement and sizing of multi-type FACTS devices in power systems using metaheuristic optimisation techniques: An updated review. Ain Shams Engineering Journal 2019, 11, 611 -628.
AMA StyleAhmad AL Ahmad, Reza Sirjani. Optimal placement and sizing of multi-type FACTS devices in power systems using metaheuristic optimisation techniques: An updated review. Ain Shams Engineering Journal. 2019; 11 (3):611-628.
Chicago/Turabian StyleAhmad AL Ahmad; Reza Sirjani. 2019. "Optimal placement and sizing of multi-type FACTS devices in power systems using metaheuristic optimisation techniques: An updated review." Ain Shams Engineering Journal 11, no. 3: 611-628.
Proton exchange membrane fuel cell is an emerging renewable energy resource for transportation and power generation. Similar to other renewable resources, the performance of proton exchange membrane fuel cell is affected by ambient conditions. However, procedures for analyzing the influences of such conditions on the performance of proton exchange membrane fuel cells are expensive and time-consuming. Moreover, the commonly used models have been developed on the basis of standard ambient conditions. Thus, these models are difficult to utilize under adverse ambient conditions. This study was performed to develop suitable proton exchange membrane fuel cell models that could reflect the effects of ambient conditions on the output voltage and current of the models. The first proposed model used the advantages of electrical and thermal relationships of a complex semiempirical model of a proton exchange membrane fuel cell. A simplified proton exchange membrane fuel cell model that used passive electrical components was then developed by central composite surface design. Both proposed models were simulated using various ambient temperatures, pressures, and load resistances by considering that the applied hydrogen pressure is known. Results showed that the output voltage of proton exchange membrane fuel cell decreased when ambient temperature increased and pressure decreased. This variation was dominant when the load resistance was reduced. Computation using the simplified model was remarkably faster than that using the first model. The proposed model can be beneficial, especially for aircraft applications and unusual ambient conditions.
Saad S Khan; Hussain Shareef; Addy Wahyudie; Sn Khalid; Reza Sirjani. Influences of ambient conditions on the performance of proton exchange membrane fuel cell using various models. Energy & Environment 2018, 30, 1087 -1110.
AMA StyleSaad S Khan, Hussain Shareef, Addy Wahyudie, Sn Khalid, Reza Sirjani. Influences of ambient conditions on the performance of proton exchange membrane fuel cell using various models. Energy & Environment. 2018; 30 (6):1087-1110.
Chicago/Turabian StyleSaad S Khan; Hussain Shareef; Addy Wahyudie; Sn Khalid; Reza Sirjani. 2018. "Influences of ambient conditions on the performance of proton exchange membrane fuel cell using various models." Energy & Environment 30, no. 6: 1087-1110.
Solar energy is a source of free, clean energy which avoids the destructive effects on the environment that have long been caused by power generation. Solar energy technology rivals fossil fuels, and its development has increased recently. Photovoltaic (PV) solar farms can only produce active power during the day, while at night, they are completely idle. At the same time, though, active power should be supported by reactive power. Reactive power compensation in power systems improves power quality and stability. The use during the night of a PV solar farm inverter as a static synchronous compensator (or PV-STATCOM device) has recently been proposed which can improve system performance and increase the utility of a PV solar farm. In this paper, a method for optimal PV-STATCOM placement and sizing is proposed using empirical data. Considering the objectives of power loss and cost minimization as well as voltage improvement, two sub-problems of placement and sizing, respectively, are solved by a power loss index and adaptive particle swarm optimization (APSO). Test results show that APSO not only performs better in finding optimal solutions but also converges faster compared with bee colony optimization (BCO) and lightening search algorithm (LSA). Installation of a PV solar farm, STATCOM, and PV-STATCOM in a system are each evaluated in terms of efficiency and cost.
Reza Sirjani. Optimal Placement and Sizing of PV-STATCOM in Power Systems Using Empirical Data and Adaptive Particle Swarm Optimization. Sustainability 2018, 10, 727 .
AMA StyleReza Sirjani. Optimal Placement and Sizing of PV-STATCOM in Power Systems Using Empirical Data and Adaptive Particle Swarm Optimization. Sustainability. 2018; 10 (3):727.
Chicago/Turabian StyleReza Sirjani. 2018. "Optimal Placement and Sizing of PV-STATCOM in Power Systems Using Empirical Data and Adaptive Particle Swarm Optimization." Sustainability 10, no. 3: 727.
Currently, many wind farms exist throughout the world and, in some cases, supply a significant portion of energy to networks. However, numerous uncertainties remain with respect to the amount of energy generated by wind turbines and other sophisticated operational aspects, such as voltage and reactive power management, which requires further development and consideration. To fix the problem of poor reactive power compensation in wind farms, optimal capacitor placement has been proposed in existing wind farms as a simple and relatively inexpensive method. However, the use of induction generators, transformers, and additional capacitors represent potential problems for the harmonics of a system and therefore must be taken into account at wind farms. The optimal location and size of capacitors at buses of an 80-MW wind farm were determined according to modelled wind speed, system equivalent circuits, and harmonics in order to minimize energy losses, optimize reactive power and reduce the management costs. The discrete version of the lightning search algorithm (DLSA) is a powerful and flexible nature-inspired optimization technique that was developed and implemented herein for optimal capacitor placement in wind farms. The obtained results are compared with the results of the genetic algorithm (GA) and the discrete harmony search algorithm (DHSA).
Reza Sirjani. Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm. Sustainability 2017, 9, 1669 .
AMA StyleReza Sirjani. Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm. Sustainability. 2017; 9 (9):1669.
Chicago/Turabian StyleReza Sirjani. 2017. "Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm." Sustainability 9, no. 9: 1669.
Reza Sirjani; Ahmad Rezaee Jordehi. Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review. Renewable and Sustainable Energy Reviews 2017, 77, 688 -694.
AMA StyleReza Sirjani, Ahmad Rezaee Jordehi. Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review. Renewable and Sustainable Energy Reviews. 2017; 77 ():688-694.
Chicago/Turabian StyleReza Sirjani; Ahmad Rezaee Jordehi. 2017. "Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review." Renewable and Sustainable Energy Reviews 77, no. : 688-694.
In this paper, various techniques or methods are considered to develop an optimal unit commitment schedule that significantly minimizes cost at a reduced computation time, while meeting power gaining time cannot be overemphasized, as an increased time could translate demand. Several robust methods have obtained good solutions but with a penalty of high computational time. The importance of to a rise in cost. The UC formulation is characterized by an objective function that is optimized with respect to certain well defined power generation constraints. They include: hourly power demand / load, ramp up / down limits, minimum up / down times, maximum and minimum power generated or loading limits, etc. The focus of this paper is the application of the proposed, modified improved-dynamic programming method to optimize the UC formulation, to achieve the desired objective of trimming down the convergence time of the UC problem and in the process improve or maintain the overall cost solution quality. Three test case data are used from already existing papers to compare with the new solution obtained. The convergence time for case 1, case 2, and case 3 is reduced significantly by some seconds and is expressed in percentage of 1.14%, 4.01% and 8.60% respectively.
Henry Ugochukwu Ukwu; Reza Sirjani. Unit commitment in a power generation system using a modified improved-dynamic programming. 2016 HONET-ICT 2016, 103 -107.
AMA StyleHenry Ugochukwu Ukwu, Reza Sirjani. Unit commitment in a power generation system using a modified improved-dynamic programming. 2016 HONET-ICT. 2016; ():103-107.
Chicago/Turabian StyleHenry Ugochukwu Ukwu; Reza Sirjani. 2016. "Unit commitment in a power generation system using a modified improved-dynamic programming." 2016 HONET-ICT , no. : 103-107.
Wind power as a source of renewable energy with low pollution has grown substantially in recent years. Being able to accurately predict the generated power of wind plants is very important for proper operation of the power system. This study presents a novel optimization algorithm for determining the optimal value of the weighting factor in the wind power model, the algorithm known as the lightning search algorithm (LSA) was developed from the natural occurrence of lightning formed by thunderstorms. The model was tested using data collected from the hourly wind power output of the Zabol wind plant in Iran. The obtained wind power model from the algorithm presented an accurate fit for the entire range of the actual data and gave a lower error in comparison with the results obtained using bee colony optimization (BCO) or particle swarm optimization (PSO).
Reza Sirjani; Eric Chekwube Okonkwo. A new wind power model using the lightning search algorithm. 2016 HONET-ICT 2016, 93 -97.
AMA StyleReza Sirjani, Eric Chekwube Okonkwo. A new wind power model using the lightning search algorithm. 2016 HONET-ICT. 2016; ():93-97.
Chicago/Turabian StyleReza Sirjani; Eric Chekwube Okonkwo. 2016. "A new wind power model using the lightning search algorithm." 2016 HONET-ICT , no. : 93-97.
The harmonic problem is as a consequence of nonlinear power electronic devices in powering industrial distribution systems. A filter is a necessary equipment in the power system to reduce or eliminate harmonics.In this paper, the optimal design of filters to reduce total harmonic distortion (THD) has been investigated using the Matlab/Simulink. Bee Colony Optimization (BCO) is applied as optimization technique takes into account the total filter size due to the reduction of THD. Single tuned and double tuned filters are considered, and their passive elements are derived to obtain the strength of both filters in the reduction of distortion. The BCO results are much better than conventional harmonic filter design methods and the distortion has been decreased.
Reza Sirjani; Mehmet Kusaf. Optimal design of passive harmonic filters using Bee Colony Optimization. 2016 HONET-ICT 2016, 88 -92.
AMA StyleReza Sirjani, Mehmet Kusaf. Optimal design of passive harmonic filters using Bee Colony Optimization. 2016 HONET-ICT. 2016; ():88-92.
Chicago/Turabian StyleReza Sirjani; Mehmet Kusaf. 2016. "Optimal design of passive harmonic filters using Bee Colony Optimization." 2016 HONET-ICT , no. : 88-92.
Recently, accurate modeling of the differences between the current and voltage (I–V) characteristics of solar cells has been the main focus of many research studies. Mostly the results were obtained only for single diode or double diode solar cells, not for both or even for photovoltaic (PV) modules. Moreover, the effect of different shading conditions and different temperatures should be considered; otherwise, the obtained results would be reliable for specific weather conditions and unreliable for all real conditions. In this study, a novel nature-inspired optimization method known as the lightning search algorithm (LSA) was developed to extract the parameters of single diode and double diode solar cells as well as for a PV module. LSA is formulated based on lightning, which originates from thunderstorms. Experimental data from multicrystalline KC200GT solar panels were used to test the single diode and double diode solar panel models, and experimental data from the monocrystalline SQ150-PC solar panels were used to test the PV module model. The experimental data are first collected at the same temperature at five different irradiance levels. In the second stage, variations in temperature are considered at the same irradiance level. The extraction results in the LSA I–V curves accurately fit the entire range of the experimental data, while many fluctuations were seen in the particle swarm optimization (PSO) and bee colony optimization (BCO) I–V curves. The convergence characteristics of LSA were also evaluated in terms of accuracy and speed. For all cases, when LSA was used, the accuracies matched well with the entire range of experimental data. In addition, the value of the objective function using LSA was lower, and that method converged much faster than PSO and BCO.
Reza Sirjani; Hussain Shareef. Parameter Extraction of Solar Cell Models Using the Lightning Search Algorithm in Different Weather Conditions. Journal of Solar Energy Engineering 2016, 138, 041007 .
AMA StyleReza Sirjani, Hussain Shareef. Parameter Extraction of Solar Cell Models Using the Lightning Search Algorithm in Different Weather Conditions. Journal of Solar Energy Engineering. 2016; 138 (4):041007.
Chicago/Turabian StyleReza Sirjani; Hussain Shareef. 2016. "Parameter Extraction of Solar Cell Models Using the Lightning Search Algorithm in Different Weather Conditions." Journal of Solar Energy Engineering 138, no. 4: 041007.
Reza Sirjani; Chinedu Frank Okwose. Combining two techniques to develop a novel islanding detection method for distributed generation units. Measurement 2016, 81, 66 -79.
AMA StyleReza Sirjani, Chinedu Frank Okwose. Combining two techniques to develop a novel islanding detection method for distributed generation units. Measurement. 2016; 81 ():66-79.
Chicago/Turabian StyleReza Sirjani; Chinedu Frank Okwose. 2016. "Combining two techniques to develop a novel islanding detection method for distributed generation units." Measurement 81, no. : 66-79.
Reza Sirjani; Melkamu Gamene Bade. A global harmony search algorithm for finding optimal capacitor location and size in distribution networks. Journal of Central South University 2015, 22, 1748 -1761.
AMA StyleReza Sirjani, Melkamu Gamene Bade. A global harmony search algorithm for finding optimal capacitor location and size in distribution networks. Journal of Central South University. 2015; 22 (5):1748-1761.
Chicago/Turabian StyleReza Sirjani; Melkamu Gamene Bade. 2015. "A global harmony search algorithm for finding optimal capacitor location and size in distribution networks." Journal of Central South University 22, no. 5: 1748-1761.
The benefits of reactive power compensation depend greatly on the placement and size of the compensators. STATCOM is a shunt compensator and one of the important members of the Flexible AC Transmission Systems (FACTS) family that are increasingly being used in long transmission lines in modern power systems. The FACTS devices placement problem is commonly solved using heuristic optimization techniques which are diverse and have been the subject of ongoing enhancements. This chapter, in the first stage, presents a survey of the literature from the last decade that has focused on the various heuristic optimization techniques applied to determine optimal placement and sizing of the STATCOM. In the second stage, the application of the global harmony search (GHS) algorithm as a new meta-heuristic optimization method for determining the optimal location and size of STATCOM in a transmission network is presented. The algorithm is easy to be implemented and capable of finding multiple optimal solutions to the constrained multi-objective problem, providing more flexibility in making decisions about the location of STATCOM. Power system loss reduction, bus voltage profile improvement, voltage stability enhancement and device size are employed as measures of power system performance in the optimization algorithm. The proposed multi-objective GHS algorithm is validated on 57 and 118-bus transmission networks.
Reza Sirjani. Optimal Placement and Sizing of STATCOM in Power Systems Using Heuristic Optimization Techniques. Numerical Methods for Energy Applications 2014, 437 -476.
AMA StyleReza Sirjani. Optimal Placement and Sizing of STATCOM in Power Systems Using Heuristic Optimization Techniques. Numerical Methods for Energy Applications. 2014; ():437-476.
Chicago/Turabian StyleReza Sirjani. 2014. "Optimal Placement and Sizing of STATCOM in Power Systems Using Heuristic Optimization Techniques." Numerical Methods for Energy Applications , no. : 437-476.
A comparison of the effectiveness of installing reactive power compensators, such as shunt capacitors, static var compensators (SVCs), and static synchronous compensators (STATCOMs), was presented in large-scale power networks. A suitable bus was first identified using modal analysis method. The single shunt capacitor, single SVC, and single STATCOM were installed separately on the most critical bus. The effects of the installation of different devices on power loss reduction, voltage profile improvement, and voltage stability margin enhancement were examined and compared for 57- and 118-bus transmission systems. The comparative study results show that SVC, and STATCOM are expensive compared to shunt capacitor, yet the effect of installing STATCOM is better than SVC and the effect of installing SVC is better than that of shunt capacitor in achieving power loss reduction, voltage profile improvement and voltage stability margin enhancement.
Reza Sirjani; Azah Mohamed; Hussain Shareef. Comparative study of effectiveness of different var compensation devices in large-scale power networks. Journal of Central South University 2013, 20, 715 -723.
AMA StyleReza Sirjani, Azah Mohamed, Hussain Shareef. Comparative study of effectiveness of different var compensation devices in large-scale power networks. Journal of Central South University. 2013; 20 (3):715-723.
Chicago/Turabian StyleReza Sirjani; Azah Mohamed; Hussain Shareef. 2013. "Comparative study of effectiveness of different var compensation devices in large-scale power networks." Journal of Central South University 20, no. 3: 715-723.
In this paper, a novel global harmony search algorithm (NGHS) is used to determine the optimal location and size of shunt reactive power compensators such as shunt capacitors, static Var compensators (SVCs), and static synchronous compensators (STATCOMs) in a transmission network. The problem is decomposed into two subproblems. The first deals with the optimal placement of shunt Var compensation devices using the modal analysis method. The second subproblem is the optimization of the load flow using the NGHS algorithm. A multi-criterion objective function is defined to enhance the voltage stability, improve the voltage profile, and minimize power loss while minimizing the total cost. The results from a 57-bus test system show that the NGHS algorithm causes lower power loss and has better voltage profile and greater voltage stability than the improved harmony search algorithm (IHS) and particle swarm optimization (PSO) techniques in solving the placement and sizing problem of shunt Var compensators. Finally, a comparison of the convergence characteristics of three optimization methods demonstrates the greater accuracy and higher speed of the proposed NGHS algorithm in finding better solutions compared with PSO and IHS.
Reza Sirjani; Azah Mohamed; Hussain Shareef. Optimal allocation of shunt Var compensators in power systems using a novel global harmony search algorithm. International Journal of Electrical Power & Energy Systems 2012, 43, 562 -572.
AMA StyleReza Sirjani, Azah Mohamed, Hussain Shareef. Optimal allocation of shunt Var compensators in power systems using a novel global harmony search algorithm. International Journal of Electrical Power & Energy Systems. 2012; 43 (1):562-572.
Chicago/Turabian StyleReza Sirjani; Azah Mohamed; Hussain Shareef. 2012. "Optimal allocation of shunt Var compensators in power systems using a novel global harmony search algorithm." International Journal of Electrical Power & Energy Systems 43, no. 1: 562-572.
Static Var compensator (SVC) is normally used in power system to improve voltage profile and reduce system power losses. In this paper, a relatively new optimization technique named as the improved harmony search algorithm (IHS) is applied to determine optimal location and size of SVC devices in a transmission network. A multi-criterion objective function comprising of both operational objectives and investment costs is considered. The results on the 57-bus test system showed that the IHS algorithm give lower power loss and better voltage improvement compared to the particle swarm optimization technique in solving the SVC placement and sizing problem.
Reza Sirjani; Azah Mohamed. Improved Harmony Search Algorithm for Optimal Placement and Sizing of Static Var Compensators in Power Systems. 2011 First International Conference on Informatics and Computational Intelligence 2011, 295 -300.
AMA StyleReza Sirjani, Azah Mohamed. Improved Harmony Search Algorithm for Optimal Placement and Sizing of Static Var Compensators in Power Systems. 2011 First International Conference on Informatics and Computational Intelligence. 2011; ():295-300.
Chicago/Turabian StyleReza Sirjani; Azah Mohamed. 2011. "Improved Harmony Search Algorithm for Optimal Placement and Sizing of Static Var Compensators in Power Systems." 2011 First International Conference on Informatics and Computational Intelligence , no. : 295-300.
Capacitors are used to provide reactive power compensation in distribution networks and are widely used to reduce power loss, improve voltage profile and increase system capacity. The benefits of reactive power compensation depend greatly on the placement and size of the added capacitors. Presently, the capacitor placement problem is widely solved by using evolutionary programming methods. In this paper, an improved harmony search (IHS) algorithm is applied to solve the optimal capacitor placement problem. The performance of the proposed IHS algorithm is validated on the 9-bus distribution system. The obtained capacitor placement results using the IHS algorithm are compared with the particle swarm optimization and the traditional harmony search algorithm.
R. Sirjani; A. Mohamed; H. Shareef. An improved harmony search algorithm for optimal capacitor placement in radial distribution systems. 2011 5th International Power Engineering and Optimization Conference 2011, 323 -328.
AMA StyleR. Sirjani, A. Mohamed, H. Shareef. An improved harmony search algorithm for optimal capacitor placement in radial distribution systems. 2011 5th International Power Engineering and Optimization Conference. 2011; ():323-328.
Chicago/Turabian StyleR. Sirjani; A. Mohamed; H. Shareef. 2011. "An improved harmony search algorithm for optimal capacitor placement in radial distribution systems." 2011 5th International Power Engineering and Optimization Conference , no. : 323-328.
Reza Sirjani; A. Mohamed; H. Shareef. Optimal Capacitor Placement in a Radial Distribution System using Harmony Search Algorithm. Journal of Applied Sciences 2010, 10, 2998 -3006.
AMA StyleReza Sirjani, A. Mohamed, H. Shareef. Optimal Capacitor Placement in a Radial Distribution System using Harmony Search Algorithm. Journal of Applied Sciences. 2010; 10 (23):2998-3006.
Chicago/Turabian StyleReza Sirjani; A. Mohamed; H. Shareef. 2010. "Optimal Capacitor Placement in a Radial Distribution System using Harmony Search Algorithm." Journal of Applied Sciences 10, no. 23: 2998-3006.