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Grid-connected rooftop and ground-mounted solar photovoltaics (PV) systems have gained attraction globally in recent years due to (a) reduced PV module prices, (b) maturing inverter technology, and (c) incentives through feed-in tariff (FiT) or net metering. The large penetration of grid-connected PVs coupled with nonlinear loads and bidirectional power flows impacts grid voltage levels and total harmonic distortion (THD) at the low-voltage (LV) distribution feeder. In this study, LV power quality issues with significant nonlinear loads were evaluated at the point of common coupling (PCC). Various cases of PV penetration (0 to 100%) were evaluated for practical feeder data in a weak grid environment and tested at the radial modified IEEE-34 bus system to evaluate total harmonic distortion in the current (THDi) and voltage (THDv) at PCC along with the seasonal variations. Results showed lower active, reactive, and apparent power losses of 1.9, 2.6, and 3.3%, respectively, with 50% solar PV penetration in the LV network as the voltage profile of the LV network was significantly improved compared to the base case of no solar. Further, with 50% PV penetration, THDi and THDv at PCC were noted as 10.2 and 5.2%, respectively, which is within the IEEE benchmarks at LV.
Syed Ahsan; Hassan Khan; Akhtar Hussain; Sarmad Tariq; Nauman Zaffar. Harmonic Analysis of Grid-Connected Solar PV Systems with Nonlinear Household Loads in Low-Voltage Distribution Networks. Sustainability 2021, 13, 3709 .
AMA StyleSyed Ahsan, Hassan Khan, Akhtar Hussain, Sarmad Tariq, Nauman Zaffar. Harmonic Analysis of Grid-Connected Solar PV Systems with Nonlinear Household Loads in Low-Voltage Distribution Networks. Sustainability. 2021; 13 (7):3709.
Chicago/Turabian StyleSyed Ahsan; Hassan Khan; Akhtar Hussain; Sarmad Tariq; Nauman Zaffar. 2021. "Harmonic Analysis of Grid-Connected Solar PV Systems with Nonlinear Household Loads in Low-Voltage Distribution Networks." Sustainability 13, no. 7: 3709.
Storage coupled solar photovoltaic systems have gained traction in recent years due to a) advancements in battery storage technologies and b) decreasing system costs. The viability and optimum operation of these systems is typically studied for building(s) in isolation or with grid interactions. In this paper a grid-interactive photovoltaic-storage system in a multi building scenario with net-metering is evaluated. A simulation model is developed for an interconnected multi building environment with a primary building owning the photovoltaic-battery system. The optimization model is formulated as a mixed integer linear programming problem and is solved in ILOG optimization studio with CPLEX solver. Multiple secondary buildings can procure power from the primary building based on suitable bilateral contracts. The applicability of the model is demonstrated through real-time load demand of three buildings along with actual time-of-use pricing data from the utility in the city of Auckland, New Zealand. The results provide an insight on the financial gains of installing rooftop photovoltaic-battery systems at buildings with power trading agreements under time-varying electricity tariffs. The detailed results from the model signify that primary building (with solar and storage) earns up to 43% of annual profits after incorporating installation costs of photovoltaic-battery system. Further, secondary buildings (without solar or storage) achieve 3–16% of savings in the electricity costs based on different contracted loads and agreement tariffs. This work can further enhance the utilization of solar energy resource via rooftop solar photovoltaic to help mitigate the per capita carbon dioxide emissions in countries with high dependency over fossil fuel for electricity generation.
Syed M. Ahsan; Hassan A. Khan; Naveed-Ul Hassan; Syed M. Arif; Tek-Tjing Lie. Optimized power dispatch for solar photovoltaic-storage system with multiple buildings in bilateral contracts. Applied Energy 2020, 273, 115253 .
AMA StyleSyed M. Ahsan, Hassan A. Khan, Naveed-Ul Hassan, Syed M. Arif, Tek-Tjing Lie. Optimized power dispatch for solar photovoltaic-storage system with multiple buildings in bilateral contracts. Applied Energy. 2020; 273 ():115253.
Chicago/Turabian StyleSyed M. Ahsan; Hassan A. Khan; Naveed-Ul Hassan; Syed M. Arif; Tek-Tjing Lie. 2020. "Optimized power dispatch for solar photovoltaic-storage system with multiple buildings in bilateral contracts." Applied Energy 273, no. : 115253.
Plug-in electric buses (PEBs) are a promising alternative to conventional buses to provide a sustainable, economical, and efficient mode of transportation. However, electrification of public transportation leads to a phenomenon of peak load that impacts the stability of low voltage (LV) feeders. In this context, the effective integration of an energy storage system (ESS) and photovoltaic (PV) in a bus depot charging ecosystem can lead to i) peak load reduction and ii) charging cost reduction with low carbon emission. Therefore, a limited PEB charge scheduling algorithm is proposed for: i) bus depot operator (BDO) profit maximization and ii) grid stability enhancement considering the constraints of PEB charging and grids. A mixed integer linear programming (MILP) model for BDO profit maximization has been formulated and analyzed using IBM ILOG studio with CPLEX solver. Simulation has been performed for SkyBus electric fleet using real-world data such as actual bus arrival and departure schedules under diverse traffic, number of passengers, trip duration, daily load profile, solar radiation profile, and benchmark storage price. The charging impact of PEBs was tested on one of the distribution feeders in Auckland, New Zealand. The BDO generates revenue by performing energy trading among PV, ESS, PEBs, and buildings after incorporating capital investment, operation and maintenance, and depreciation costs.
Syed Muhammad Arif; Tek Tjing Lie; Boon Chong Seet; Syed Muhammad Ahsan; Hassan Abbas Khan. Plug-In Electric Bus Depot Charging with PV and ESS and Their Impact on LV Feeder. Energies 2020, 13, 2139 .
AMA StyleSyed Muhammad Arif, Tek Tjing Lie, Boon Chong Seet, Syed Muhammad Ahsan, Hassan Abbas Khan. Plug-In Electric Bus Depot Charging with PV and ESS and Their Impact on LV Feeder. Energies. 2020; 13 (9):2139.
Chicago/Turabian StyleSyed Muhammad Arif; Tek Tjing Lie; Boon Chong Seet; Syed Muhammad Ahsan; Hassan Abbas Khan. 2020. "Plug-In Electric Bus Depot Charging with PV and ESS and Their Impact on LV Feeder." Energies 13, no. 9: 2139.
A number of mathematical models are available to model the performance of solar modules under varying operating conditions. Most commonly recognized and used models include (a) the basic three-parameter model, (b) the five-parameter model, and (c) the seven-parameter model. The basic three-parameter model does not incorporate series and shunt resistance for IV curves. The five-parameter model incorporates the effect of series and shunt resistance, and the seven-parameter model further includes the additional effect of temperature and irradiance variation on solar cell parameters. While all these models reasonably predict IV profiles of solar modules at small variations from standard testing conditions (STCs), their performance in modeling the module performance at low irradiances and high temperatures is far from ideal. This work primarily reviews the accuracy of available models for various module technologies not only under STC conditions but also over a wide range of operating conditions. The accuracy of modeled results is quantified (with datasheet results) for 10 crystalline silicon (c-Si) based modules as well as 9 thin film module (TF) samples (commercial modules) at multiple irradiance conditions. The results show that the three-parameter model generally overestimates the power output both for c-Si and TF modules. The five-parameter model predicts TF technology more accurately compared to the other two available models, whereas the seven-parameter model is most accurate for c-Si module modeling under varying operations.A number of mathematical models are available to model the performance of solar modules under varying operating conditions. Most commonly recognized and used models include (a) the basic three-parameter model, (b) the five-parameter model, and (c) the seven-parameter model. The basic three-parameter model does not incorporate series and shunt resistance for IV curves. The five-parameter model incorporates the effect of series and shunt resistance, and the seven-parameter model further includes the additional effect of temperature and irradiance variation on solar cell parameters. While all these models reasonably predict IV profiles of solar modules at small variations from standard testing conditions (STCs), their performance in modeling the module performance at low irradiances and high temperatures is far from ideal. This work primarily reviews the accuracy of available models for various module technologies not only under STC conditions but also over a wide range of operating conditions. The accuracy ...
Mirza Qutab Baig; Hassan Abbas Khan; Syed Muhammad Ahsan. Evaluation of solar module equivalent models under real operating conditions—A review. Journal of Renewable and Sustainable Energy 2020, 12, 012701 .
AMA StyleMirza Qutab Baig, Hassan Abbas Khan, Syed Muhammad Ahsan. Evaluation of solar module equivalent models under real operating conditions—A review. Journal of Renewable and Sustainable Energy. 2020; 12 (1):012701.
Chicago/Turabian StyleMirza Qutab Baig; Hassan Abbas Khan; Syed Muhammad Ahsan. 2020. "Evaluation of solar module equivalent models under real operating conditions—A review." Journal of Renewable and Sustainable Energy 12, no. 1: 012701.
Syed Muhammad Arif; Akhtar Hussain; Tek Tjing Lie; Syed Muhammad Ahsan; Hassan Abbas Khan. Analytical Hybrid Particle Swarm Optimization Algorithm for Optimal Siting and Sizing of Distributed Generation in Smart Grid. Journal of Modern Power Systems and Clean Energy 2020, 8, 1221 -1230.
AMA StyleSyed Muhammad Arif, Akhtar Hussain, Tek Tjing Lie, Syed Muhammad Ahsan, Hassan Abbas Khan. Analytical Hybrid Particle Swarm Optimization Algorithm for Optimal Siting and Sizing of Distributed Generation in Smart Grid. Journal of Modern Power Systems and Clean Energy. 2020; 8 (6):1221-1230.
Chicago/Turabian StyleSyed Muhammad Arif; Akhtar Hussain; Tek Tjing Lie; Syed Muhammad Ahsan; Hassan Abbas Khan. 2020. "Analytical Hybrid Particle Swarm Optimization Algorithm for Optimal Siting and Sizing of Distributed Generation in Smart Grid." Journal of Modern Power Systems and Clean Energy 8, no. 6: 1221-1230.
Due to growing environmental and water challenges, sustained availability of clean water is very important. For accurate monitoring of its drinking quality water, low-cost measuring system is required. In this work we propose one such solar PV based system utilizing Wireless Sensor Networks (WSN) technology for accurate water quality monitoring. Three sensors: (a) pH Sensor (SKU: SEN0169), (b) Turbidity sensor (SKU: SEN0189) and (c) Temperature sensor (DS18B20) are employed in the system hardware. These sensors are connected with Arduino, Global System for Mobile (GSM), and liquid crystal display (LCD) for the purpose of communication and monitoring respectively. These sensors measure the required parameters (pH, turbidity, and temperature) and forward it to Arduino which are then displayed on the LCD. The measured values are transmitted through the GSM for monitoring purposes. A solar panel is used power-up the system and autonomy is provided through a lead-acid battery This allows application of system in remote areas where grid is unavailable. The system can also have other applications in the agriculture systems, aquaculture systems, domestic systems and in small industrial setups.
Muhammad Usman Tahir; Syed Muhammad Ahsan; Syed Muhammad Arif; Muhammad Abdullah. GSM Based Advanced Water Quality Monitoring System Powered by Solar Photovoltaic System. 2018 Australasian Universities Power Engineering Conference (AUPEC) 2018, 1 -5.
AMA StyleMuhammad Usman Tahir, Syed Muhammad Ahsan, Syed Muhammad Arif, Muhammad Abdullah. GSM Based Advanced Water Quality Monitoring System Powered by Solar Photovoltaic System. 2018 Australasian Universities Power Engineering Conference (AUPEC). 2018; ():1-5.
Chicago/Turabian StyleMuhammad Usman Tahir; Syed Muhammad Ahsan; Syed Muhammad Arif; Muhammad Abdullah. 2018. "GSM Based Advanced Water Quality Monitoring System Powered by Solar Photovoltaic System." 2018 Australasian Universities Power Engineering Conference (AUPEC) , no. : 1-5.