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Syed Ali Abbas Kazmi received a Bachelor’s degree in Electrical Engineering from the University of Engineering and Technology, Taxila, Pakistan; a Master’s degree in Electrical Power Engineering from the University of Engineering and Technology, Peshawar, Pakistan; and a Ph.D. degree in Electrical Power Engineering from Sungkyunkwan University, South Korea. He is currently an Assistant Professor with the Electrical Engineering Department, U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST). His research interests include voltage stability, distributed generation, smart grids, power system modeling, power system planning, microgrids, multi-microgrids, and virtual power plants.
Modern distribution mechanisms within the smart grid paradigm are considered both reliable in nature and interconnected in topology. In this paper, a multiple-criteria-based sustainable planning (MCSP) approach is presented that serves as a future planning tool for interconnected distribution mechanisms and aims to find a feasible solution among conflicting criteria of various genres. The proposed methodology is based on three stages. In the stage 1, a weighted voltage stability index (VSI_W) and loss minimization condition (LMC) based approach aims at optimal asset optimization (sitting and sizing). In this stage, an evaluation of alternatives (solutions) is carried out across four dimensions (technical, economic, environmental, and social) of performance metrics. The assets considered in the evaluations include distributed generation (DG), renewable DGs, i.e., photovoltaic (PV), wind, and distributed static compensator (D-STATCOM) units. In the stage 2, various multicriteria decision-making (MCDM) methodologies are applied to ascertain the best trade-off among the available solutions in terms of techno-cost (economic) (TCPE), environment-o-social (ESPE), and techno-economic-environmental-socio (TEES) performance evaluations (OPE). In the stage 3, the alternatives are evaluated across multiple load growth horizons of 5 years each. The proposed MCSP approach is evaluated across a mesh-configured 33-bus active distribution network (ADN) and an actual NUST (which is a university in Islamabad, Pakistan) microgrid (MG), with various variants of load growth. The numerical findings of the proposed MCSP approach are compared with reported works the literature supports its validity and can serve as an important planning tool for interconnected distribution mechanisms for researchers and planning engineers.
Syed Kazmi; Usama Ameer Khan; Waleed Ahmad; Muhammad Hassan; Fahim Ibupoto; Syed Bukhari; Sajid Ali; M. Malik; Dong Shin. Multiple (TEES)-Criteria-Based Sustainable Planning Approach for Mesh-Configured Distribution Mechanisms across Multiple Load Growth Horizons. Energies 2021, 14, 3128 .
AMA StyleSyed Kazmi, Usama Ameer Khan, Waleed Ahmad, Muhammad Hassan, Fahim Ibupoto, Syed Bukhari, Sajid Ali, M. Malik, Dong Shin. Multiple (TEES)-Criteria-Based Sustainable Planning Approach for Mesh-Configured Distribution Mechanisms across Multiple Load Growth Horizons. Energies. 2021; 14 (11):3128.
Chicago/Turabian StyleSyed Kazmi; Usama Ameer Khan; Waleed Ahmad; Muhammad Hassan; Fahim Ibupoto; Syed Bukhari; Sajid Ali; M. Malik; Dong Shin. 2021. "Multiple (TEES)-Criteria-Based Sustainable Planning Approach for Mesh-Configured Distribution Mechanisms across Multiple Load Growth Horizons." Energies 14, no. 11: 3128.
The efficiency of DC microgrid needs investigation from a smart grid perspective, since their spread has expected to prevail in comparison with AC counterparts. Furthermore, there is a need to address the limitations (majorly to cater the intermittency of distributed energy resources (DERs) as well as the time dependency of systematic parameters etc.) in previous model and propose a new mathematical model to evaluate system efficiency for given parameters and scenarios. The core focus of current study aims at formulation of an improved (composite) mathematical model, that is capable of bridging issues and serve as a tool to address requirements of future DC systems including microgrids (MGs) and multi‐microgrids (MMGs). This research work offers such a mathematical model that consists of 3D matrices based on newly derived set of discrete time dependent equations, which evaluates the system efficiency of residential DC‐MMGs. Each DC‐MG is embedded with intermittent DERs, storage, components (with efficiency variations), and multi‐class load (with discrete time dependency), for evaluation across worst, normal, and best scenarios. A comprehensive sensitivity analysis across various cases and respective scenarios are also presented to evaluate overall system performance. Also, the impacts of system parameters on various system variables, states, and overall system efficiency have presented in this paper.
Hafiz Muhammad Anees; Syed Ali Abbas Kazmi; Muhammad Naqvi; Salman Raza Naqvi; Faizan Dastgeer; Hassan Erteza Gelani. A mathematical model‐based approach for DC multi‐microgrid performance evaluations considering intermittent distributed energy resources, energy storage, multiple load classes, and system components variations. Energy Science & Engineering 2021, 1 .
AMA StyleHafiz Muhammad Anees, Syed Ali Abbas Kazmi, Muhammad Naqvi, Salman Raza Naqvi, Faizan Dastgeer, Hassan Erteza Gelani. A mathematical model‐based approach for DC multi‐microgrid performance evaluations considering intermittent distributed energy resources, energy storage, multiple load classes, and system components variations. Energy Science & Engineering. 2021; ():1.
Chicago/Turabian StyleHafiz Muhammad Anees; Syed Ali Abbas Kazmi; Muhammad Naqvi; Salman Raza Naqvi; Faizan Dastgeer; Hassan Erteza Gelani. 2021. "A mathematical model‐based approach for DC multi‐microgrid performance evaluations considering intermittent distributed energy resources, energy storage, multiple load classes, and system components variations." Energy Science & Engineering , no. : 1.
The structure of the electrode material has been found to affect the electrochemical performance of rechargeable batteries. Thus, stable structured materials with large tunnels can provide long cycle life to help establish high-performance batteries. Herein, the electrochemical properties and associated reaction mechanism of a stable structured Na2MoO4 anode material are investigated in sodium-ion batteries. Na2MoO4/C nanocomposite is prepared using the ball-milling method and size of the particles is reduced from micro- to nanometers. The composite electrode shows high cycling stability exhibiting a specific capacity of 84 mAh g–1 at the first cycle and 81 mAh g–1 at the 1000th cycle, demonstrating a capacity retention of >96%. The reaction mechanism is evaluated with synchrotron-based in situ XRD and X-ray absorption spectroscopy. The results thus obtained, imply that the Na2MoO4/C anode shows low volume change (0.68%) in crystal structure upon cycling and Mo–O tetrahedral coordination is reversibly affected by the sodium insertion/extraction process.
Ghulam Ali; Anam Javaid Kiani; Faiza Jan Iftikhar; Syed Ali Abbas Kazmi; Muhammad Akbar; Ali Rauf; Kyung Yoon Chung. Highly Stable Zero-Stain Na2MoO4/C Nanocomposite Anode for Long Life Na-Ion Batteries. ACS Applied Energy Materials 2021, 4, 4638 -4645.
AMA StyleGhulam Ali, Anam Javaid Kiani, Faiza Jan Iftikhar, Syed Ali Abbas Kazmi, Muhammad Akbar, Ali Rauf, Kyung Yoon Chung. Highly Stable Zero-Stain Na2MoO4/C Nanocomposite Anode for Long Life Na-Ion Batteries. ACS Applied Energy Materials. 2021; 4 (5):4638-4645.
Chicago/Turabian StyleGhulam Ali; Anam Javaid Kiani; Faiza Jan Iftikhar; Syed Ali Abbas Kazmi; Muhammad Akbar; Ali Rauf; Kyung Yoon Chung. 2021. "Highly Stable Zero-Stain Na2MoO4/C Nanocomposite Anode for Long Life Na-Ion Batteries." ACS Applied Energy Materials 4, no. 5: 4638-4645.
The increasing demand of energy in the traditional grids is getting more complex, less feasible, harmful, uneconomical and high in power losses. This paper presents an efficient energy management approach to mitigate such issues with smart micro grid (SMG) and aims at a solution that is both cost effective and eco-friendly, within energy market paradigm. Goals are achieved with the help of Home Energy Management Controller (HEMC), Energy Market Management Controller (EMMC) and Control Agent (CA). The individual load is managed in the presence of local generation, storage system, user comfort, DGs and Utility within energy market paradigm. Two level energy management approach is proposed to achieve concerned goals. First is to manage load and schedule storage with respect to individual local generation and market pricing. Second is to manage energy market with the help of four different types of priorities and control agent input. The problem is solved with a variant of meta-heuristic method, Multi Objective Grey Wolf Optimization (MOGWO), which gives more comprehensive solution by comparing with Particle Swarm Optimization (PSO). The proposed methodology is implemented on a SMG based-community test system. Homes within that community have different economic conditions and personal priorities. Simulation results demonstrates achievement of aimed goals in presented work.
Muhammad Haseeb; Syed Ali Abbas Kazmi; M. Mahad Malik; Sajid Ali; Syed Basit Ali Bukhari; Dong Ryeol Shin. Multi Objective Based Framework for Energy Management of Smart Micro-Grid. IEEE Access 2020, 8, 220302 -220319.
AMA StyleMuhammad Haseeb, Syed Ali Abbas Kazmi, M. Mahad Malik, Sajid Ali, Syed Basit Ali Bukhari, Dong Ryeol Shin. Multi Objective Based Framework for Energy Management of Smart Micro-Grid. IEEE Access. 2020; 8 (99):220302-220319.
Chicago/Turabian StyleMuhammad Haseeb; Syed Ali Abbas Kazmi; M. Mahad Malik; Sajid Ali; Syed Basit Ali Bukhari; Dong Ryeol Shin. 2020. "Multi Objective Based Framework for Energy Management of Smart Micro-Grid." IEEE Access 8, no. 99: 220302-220319.
The integration of commercial onshore large-scale wind farms into a national grid comes with several technical issues that predominately ensure power quality in accordance with respective grid codes. The resulting impacts are complemented with the absorption of larger amounts of reactive power by wind generators. In addition, seasonal variations and inter-farm wake effects further deteriorate the overall system performance and restrict the optimal use of available wind resources. This paper presented an assessment framework to address the power quality issues that have arisen after integrating large-scale wind farms into weak transmission grids, especially considering inter-farm wake effect, seasonal variations, reactive power depletion, and compensation with a variety of voltage-ampere reactive (Var) devices. Herein, we also proposed a recovery of significant active power deficits caused by the wake effect via increasing hub height of wind turbines. For large-scale wind energy penetration, a real case study was considered for three wind farms with a cumulative capacity of 154.4 MW integrated at a Nooriabad Grid in Pakistan to analyze their overall impacts. An actual test system was modeled in MATLAB Simulink for a composite analysis. Simulations were performed for various scenarios to consider wind intermittency, seasonal variations across four seasons, and wake effect. The capacitor banks and various flexible alternating current transmission systems (FACTS) devices were employed for a comparative analysis with and without considering the inter-farm wake effect. The power system parameters along with active and reactive power deficits were considered for comprehensive analysis. Unified power flow controller (UPFC) was found to be the best compensation device through comparative analysis, as it maintained voltage at nearly 1.002 pu, suppressed frequency transient in a range of 49.88–50.17 Hz, and avoided any resonance while maintaining power factors in an allowable range. Moreover, it also enhanced the power handling capability of the power system. The 20 m increase in hub height assisted the recovery of the active power deficit to 48%, which thus minimized the influence of the wake effect.
Shah Rukh Abbas; Syed Ali Abbas Kazmi; Muhammad Naqvi; Adeel Javed; Salman Raza Naqvi; Kafait Ullah; Tauseef-Ur-Rehman Khan; Dong Ryeol Shin. Impact Analysis of Large-Scale Wind Farms Integration in Weak Transmission Grid from Technical Perspectives. Energies 2020, 13, 5513 .
AMA StyleShah Rukh Abbas, Syed Ali Abbas Kazmi, Muhammad Naqvi, Adeel Javed, Salman Raza Naqvi, Kafait Ullah, Tauseef-Ur-Rehman Khan, Dong Ryeol Shin. Impact Analysis of Large-Scale Wind Farms Integration in Weak Transmission Grid from Technical Perspectives. Energies. 2020; 13 (20):5513.
Chicago/Turabian StyleShah Rukh Abbas; Syed Ali Abbas Kazmi; Muhammad Naqvi; Adeel Javed; Salman Raza Naqvi; Kafait Ullah; Tauseef-Ur-Rehman Khan; Dong Ryeol Shin. 2020. "Impact Analysis of Large-Scale Wind Farms Integration in Weak Transmission Grid from Technical Perspectives." Energies 13, no. 20: 5513.
Smart community setups nowadays are subjected to complicated issues such as instability, intermittent integration of the load at the demand side, and lack of intelligent two-way communication process. These issues need to be addressed in terms of a balanced power demand dispatch (DD) in the real-time or day-ahead duplex signal regime under multi-microgrids. This paper offers an intelligent multi-agent-based approach that works between different levels of communication and their respective layers for a community-based system to optimize the power in community-based multi-microgrids model. This will further enhance user personal comfort. Constraints relative to cost minimization also have a relation with this model. A three-level structure with various layers of autonomous agents take intelligent decisions based on prioritized particle swarm optimization (P-PSO), prioritized plug and play (PPnP), and knapsack; considering DD as the main driver of the system to address objectives like price and power consumption uncertainties. Distinct smart home models, depending upon their living habits, are keenly observed providing their power infrastructure and personal comfort. Load appliances considered as load agents are individually contemplated for maximum proficiency. Furthermore, two-way communication between utility and consumers lowers down the risk of the inefficiency of the system.
M. Mahad Malik; Syed Ali Abbas Kazmi; Hamza Waheed Asim; Ahsan Bin Ahmed; Dong Ryeol Shin. An Intelligent Multi-Stage Optimization Approach for Community Based Micro-Grid Within Multi-Microgrid Paradigm. IEEE Access 2020, 8, 177228 -177244.
AMA StyleM. Mahad Malik, Syed Ali Abbas Kazmi, Hamza Waheed Asim, Ahsan Bin Ahmed, Dong Ryeol Shin. An Intelligent Multi-Stage Optimization Approach for Community Based Micro-Grid Within Multi-Microgrid Paradigm. IEEE Access. 2020; 8 (99):177228-177244.
Chicago/Turabian StyleM. Mahad Malik; Syed Ali Abbas Kazmi; Hamza Waheed Asim; Ahsan Bin Ahmed; Dong Ryeol Shin. 2020. "An Intelligent Multi-Stage Optimization Approach for Community Based Micro-Grid Within Multi-Microgrid Paradigm." IEEE Access 8, no. 99: 177228-177244.
The modern distribution networks under the smart grid paradigm have been considered both interconnected and reliable. In grid modernization concepts, the optimal asset optimization across a certain planning horizon is of core importance. Modern planning problems are more inclined towards a feasible solution amongst conflicting criteria. In this paper, an integrated decision-making planning (IDMP) approach is proposed. The proposed methodology includes voltage stability assessment indices linked with loss minimization condition-based approach, and is integrated with different multi-criteria decision-making methodologies (MCDM), followed by unanimous decision making (UDM). The proposed IDMP approach aims at optimal assets sitting and sizing in a meshed distribution network to find a trade-off solution with various asset types across normal and load growth horizons. An initial evaluation is carried out with assets such as distributed generation (DG), photovoltaic (PV)-based renewable DG, and distributed static compensator (D-STATCOM) units. The solutions for various cases of asset optimization and respective alternatives focusing on technical only, economic only, and techno-economic objectives across the planning horizon have been evaluated. Later, various prominent MCDM methodologies are applied to find a trade-off solution across different cases and scenarios of assets optimization. Finally, UDM is applied to find trade-off solutions amongst various MCDM methodologies across normal and load growth levels. The proposed approach is carried out across a 33-bus meshed configured distribution network. Findings from the proposed IDMP approach are compared with available works reported in the literature. The numerical results achieved have validated the effectiveness of the proposed planning approach in terms of better performance and an effective trade-off solution across various asset types.
Syed Ali Abbas Kazmi; Usama Ameer Khan; Hafiz Waleed Ahmad; Sajid Ali; Dong Ryeol Shin. A Techno-Economic Centric Integrated Decision-Making Planning Approach for Optimal Assets Placement in Meshed Distribution Network Across the Load Growth. Energies 2020, 13, 1444 .
AMA StyleSyed Ali Abbas Kazmi, Usama Ameer Khan, Hafiz Waleed Ahmad, Sajid Ali, Dong Ryeol Shin. A Techno-Economic Centric Integrated Decision-Making Planning Approach for Optimal Assets Placement in Meshed Distribution Network Across the Load Growth. Energies. 2020; 13 (6):1444.
Chicago/Turabian StyleSyed Ali Abbas Kazmi; Usama Ameer Khan; Hafiz Waleed Ahmad; Sajid Ali; Dong Ryeol Shin. 2020. "A Techno-Economic Centric Integrated Decision-Making Planning Approach for Optimal Assets Placement in Meshed Distribution Network Across the Load Growth." Energies 13, no. 6: 1444.
This paper offers a new improved voltage stability assessment index (VSAI_B)-centered planning approach, aiming at the attainment of technical and cost related objectives with simultaneous multiple asset deployment in a mesh distribution systems (MDS). The assets such as multiple distributed generation (DG) and distributed static compensator (D-STATCOM) units have been utilized; aiming at voltage stabilization, loss minimization, and associated objectives. The proposed planning approach incorporates expressions of VSAI_B aiming at initial simultaneous assets placement followed by loss minimization conditions (LMC) for appropriate asset sizing, which is further utilized for performance evaluations. The VSAI_B-LMC-based integrated planning approach is applied to configured MDS models such as a 33-bus test distribution system (TDS) for detailed analysis. The performance evaluations with the presented approach have been conducted for different cases along with respective scenarios considering various technical and cost-economic performance metrics. First, three cases referring to multiple DGs sitting and sizing for various power factors have been presented, followed later by two cases of multiple DGs and D-STATCOMs with respective evaluation scenarios. Finally, benchmark analysis is conducted on a 69-bus TDS for validity demonstration of the proposed approach. The comparison of achieved results in comparison with the available literature points out toward the validity and improved performance of the proposed approach.
Syed Ali Abbas Kazmi; Dong Ryeol Shin; Hafiz Waleed Ahmad; Shin. A New Improved Voltage Stability Assessment Index-centered Integrated Planning Approach for Multiple Asset Placement in Mesh Distribution Systems. Energies 2019, 12, 3163 .
AMA StyleSyed Ali Abbas Kazmi, Dong Ryeol Shin, Hafiz Waleed Ahmad, Shin. A New Improved Voltage Stability Assessment Index-centered Integrated Planning Approach for Multiple Asset Placement in Mesh Distribution Systems. Energies. 2019; 12 (16):3163.
Chicago/Turabian StyleSyed Ali Abbas Kazmi; Dong Ryeol Shin; Hafiz Waleed Ahmad; Shin. 2019. "A New Improved Voltage Stability Assessment Index-centered Integrated Planning Approach for Multiple Asset Placement in Mesh Distribution Systems." Energies 12, no. 16: 3163.
The authors wish to make the following corrections to their paper
Syed Ali Abbas Kazmi; Abdul Kashif Janjua; Dong Ryeol Shin. Correction: Kazmi, S.A.A.; Janjua, A.K.; Shin, D.R. Enhanced Voltage Stability Assessment Index Based Planning Approach for Mesh Distribution Systems. Energies 2018, 11, 1213. Energies 2019, 12, 275 .
AMA StyleSyed Ali Abbas Kazmi, Abdul Kashif Janjua, Dong Ryeol Shin. Correction: Kazmi, S.A.A.; Janjua, A.K.; Shin, D.R. Enhanced Voltage Stability Assessment Index Based Planning Approach for Mesh Distribution Systems. Energies 2018, 11, 1213. Energies. 2019; 12 (2):275.
Chicago/Turabian StyleSyed Ali Abbas Kazmi; Abdul Kashif Janjua; Dong Ryeol Shin. 2019. "Correction: Kazmi, S.A.A.; Janjua, A.K.; Shin, D.R. Enhanced Voltage Stability Assessment Index Based Planning Approach for Mesh Distribution Systems. Energies 2018, 11, 1213." Energies 12, no. 2: 275.
This paper offers an enhanced voltage stability assessment index (VSAI) and loss minimalize condition (LMC) centered integrated planning approach. The proposed method aims at the simultaneous attainment of voltage stability, loss minimizations and various other related objectives with the employment of multiple distributed generation (DG) units, in mesh distribution systems (MDS). The approach presents two enhanced VSAI expressions based on a multiple-loops configured equivalent MDS model. The main objective of each VSAI expression is to find the weakest buses as potential candidates for single and multiple DG placements with initial optimal DG sizes for aimed objectives attainment in MDS. Later, mathematical expressions for LMC have been presented, based on equivalent MDS model. The LMC aims to achieve significant loss minimization with optimal DG sizes and attain negligible voltage difference across tie-line branches via reduction of respective loop currents. The proposed integrated VSAI-LMC based planning approach is employed with two computation variants and tested on two well-known, 33-Bus and 69-Bus, test distribution systems (TDS). The performance analysis of each TDS is conducted with two cases and respective scenarios, across various performance evaluation indicators (PEIs). The paper also offers a comparative analysis of achieved numerical outcomes of the proposed planning approach with the available research works found in the literature. The numerical results attained have better performance in comparison with the presented literature data and thus shows the effectiveness and validity of the proposed planning approach.
Syed Ali Abbas Kazmi; Abdul Kashif Janjua; Dong Ryeol Shin. Enhanced Voltage Stability Assessment Index Based Planning Approach for Mesh Distribution Systems. Energies 2018, 11, 1213 .
AMA StyleSyed Ali Abbas Kazmi, Abdul Kashif Janjua, Dong Ryeol Shin. Enhanced Voltage Stability Assessment Index Based Planning Approach for Mesh Distribution Systems. Energies. 2018; 11 (5):1213.
Chicago/Turabian StyleSyed Ali Abbas Kazmi; Abdul Kashif Janjua; Dong Ryeol Shin. 2018. "Enhanced Voltage Stability Assessment Index Based Planning Approach for Mesh Distribution Systems." Energies 11, no. 5: 1213.
This paper presents a new planning approach based on voltage stability index (VSI) together with improved loss minimization (LM) formulations. The method has employed for application of distributed generation (DG) unit placement (location and size) in a loop (configured) test distribution network (LDN). Initially, VSI relationship for equivalent loop model has employed to find out potential locations for DG placement in LDN. Later, loss minimization formulations and loss minimization conditions (LMC) have been derived on the basis of an equivalent electrical model of LDN, for single and two DGs operating at various power factors, respectively. The proposed approach is comprised of two variants and has demonstrated on the 69-bus test distribution network. The first planning variant as a single case has applied for DG allocation (location, size, number) in LDN under normal load. Similarly, the second planning variant has demonstrated with three cases (six scenarios per case), evaluated under normal load and impact of load growth (across five years), respectively. The proposed approach has analyzed in terms of various performance indicators and results obtained have compared and found in close agreement with existed works in literature. Simulation results verify the validity of the proposed planning approach and establish that LDN performs better than radial distribution network from the perspective of load growth.
Syed Ali Abbas Kazmi; Dong Ryeol Shin. DG Placement in Loop Distribution Network with New Voltage Stability Index and Loss Minimization Condition Based Planning Approach under Load Growth. Energies 2017, 10, 1203 .
AMA StyleSyed Ali Abbas Kazmi, Dong Ryeol Shin. DG Placement in Loop Distribution Network with New Voltage Stability Index and Loss Minimization Condition Based Planning Approach under Load Growth. Energies. 2017; 10 (8):1203.
Chicago/Turabian StyleSyed Ali Abbas Kazmi; Dong Ryeol Shin. 2017. "DG Placement in Loop Distribution Network with New Voltage Stability Index and Loss Minimization Condition Based Planning Approach under Load Growth." Energies 10, no. 8: 1203.
Smart grids (SGs), as an emerging grid modernization concept, is spreading across diverse research areas for revolutionizing power systems. SGs realize new key concepts with intelligent technologies, maximizing achieved objectives and addressing critical issues that are limited in conventional grids. The SG modernization is more noticeable at the distribution grid level. Thus, the transformation of the traditional distribution network (DN) into an intelligent one, is a vital dimension of SG research. Since future DNs are expected to be interconnected in nature and operation, hence traditional planning methods and tools may no longer be applicable. In this paper, the smart distribution network (SDN) concept under the SG paradigm, has presented and reviewed from the planning perspective. Also, developments in the SDN planning process have been surveyed on the basis of SG package (SGP). The package presents a SDN planning foundation via major SG-enabling technologies (SGTF), anticipated functionalities (SGAF), new consumption models (MDC) as potential SDN candidates, associated policies and pilot projects and multi-objective planning (MOP) as a real-world optimization problem. In addition, the need for an aggregated SDN planning model has also been highlighted. The paper discusses recent notable related works, implementation activities, various issues/challenges and potential future research directions; all aiming at SDN planning.
Syed Ali Abbas Kazmi; Muhammad Khuram Shahzad; Akif Zia Khan; Dong Ryeol Shin. Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective. Energies 2017, 10, 501 .
AMA StyleSyed Ali Abbas Kazmi, Muhammad Khuram Shahzad, Akif Zia Khan, Dong Ryeol Shin. Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective. Energies. 2017; 10 (4):501.
Chicago/Turabian StyleSyed Ali Abbas Kazmi; Muhammad Khuram Shahzad; Akif Zia Khan; Dong Ryeol Shin. 2017. "Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective." Energies 10, no. 4: 501.
In power distribution networks, voltage instability can lead to voltage collapse and thus power blackout. A considerable amount of research has been carried out on voltage stability analysis of transmission and radial distribution networks. However, voltage stability analysis considering loop nature of distribution network is largely unaddressed. In this paper, a simplistic analytical approach is proposed, based on circuit analysis and famous biquadratic method to evaluate voltage stability of loop distribution networks in terms of voltage stability index (VSI). This work derives mathematical expressions for VSI of loop configuration for two realistic cases. The performance of proposed VSI is initially evaluated for Korean Electric Power Corporation distribution network. Benchmark analysis has been conducted on IEEE 69 bus test distribution networks to demonstrate the validity of the proposed approach in comparison with relevant works. The proposed approach is also applied for distributed generation placement and faults identification analysis. The results demonstrate the performance improvement in VSI of loop-based distribution networks which are expected to be useful for practical applications of future smart grids.
Syed Ali Abbas Kazmi; Muhammad K. Shahzaad; Dong Ryeol Shin. Voltage Stability Index for Distribution Network connected in Loop Configuration. IETE Journal of Research 2017, 63, 281 -293.
AMA StyleSyed Ali Abbas Kazmi, Muhammad K. Shahzaad, Dong Ryeol Shin. Voltage Stability Index for Distribution Network connected in Loop Configuration. IETE Journal of Research. 2017; 63 (2):281-293.
Chicago/Turabian StyleSyed Ali Abbas Kazmi; Muhammad K. Shahzaad; Dong Ryeol Shin. 2017. "Voltage Stability Index for Distribution Network connected in Loop Configuration." IETE Journal of Research 63, no. 2: 281-293.
Distribution networks (DNWs) are facing numerous challenges, notably growing load demands, environmental concerns, operational constraints and expansion limitations with the current infrastructure. These challenges serve as a motivation factor for various distribution network planning (DP) strategies, such as timely addressing load growth aiming at prominent objectives such as reliability, power quality, economic viability, system stability and deferring costly reinforcements. The continuous transformation of passive to active distribution networks (ADN) needs to consider choices, primarily distributed generation (DG), network topology change, installation of new protection devices and key enablers as planning options in addition to traditional grid reinforcements. Since modern DP (MDP) in deregulated market environments includes multiple stakeholders, primarily owners, regulators, operators and consumers, one solution fit for all planning scenarios may not satisfy all these stakeholders. Hence, this paper presents a review of several planning techniques (PTs) based on mult-objective optimizations (MOOs) in DNWs, aiming at better trade-off solutions among conflicting objectives and satisfying multiple stakeholders. The PTs in the paper spread across four distinct planning classifications including DG units as an alternative to costly reinforcements, capacitors and power electronic devices for ensuring power quality aspects, grid reinforcements, expansions, and upgrades as a separate category and network topology alteration and reconfiguration as a viable planning option. Several research works associated with multi-objective planning techniques (MOPT) have been reviewed with relevant models, methods and achieved objectives, abiding with system constraints. The paper also provides a composite review of current research accounts and interdependence of associated components in the respective classifications. The potential future planning areas, aiming at the multi-objective-based frameworks, are also presented in this paper.
Syed Ali Abbas Kazmi; Muhammad Khuram Shahzad; Dong Ryeol Shin. Multi-Objective Planning Techniques in Distribution Networks: A Composite Review. Energies 2017, 10, 208 .
AMA StyleSyed Ali Abbas Kazmi, Muhammad Khuram Shahzad, Dong Ryeol Shin. Multi-Objective Planning Techniques in Distribution Networks: A Composite Review. Energies. 2017; 10 (2):208.
Chicago/Turabian StyleSyed Ali Abbas Kazmi; Muhammad Khuram Shahzad; Dong Ryeol Shin. 2017. "Multi-Objective Planning Techniques in Distribution Networks: A Composite Review." Energies 10, no. 2: 208.