The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Shuoya Tang - One of the best experts on this subject based on the ideXlab platform.
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Economic Planning of electric vehicle charging stations considering traffic constraints and load profile templates
Applied Energy, 2016Co-Authors: Yue Xiang, Junyong Liu, Shuoya TangAbstract:This paper develops a novel solution to integrate electric vehicles and optimally determine the siting and sizing of charging stations (CSs), considering the interactions between power and transportation industries. Firstly, the origin–destination (OD) traffic flow data is optimally assigned to the transportation network, which is then utilized to determine the capacity of charging stations. Secondly, the charging demand of charging infrastructures is integrated into a cost-based model to evaluate the Economics of candidate plans. Furthermore, load capability constraints are proposed to evaluate whether the candidate CSs deployment and tie line plans could be adopted. Different scenarios generated by load profile templates are innovatively integrated into the Economic Planning model to deal with uncertain operational states. The models and framework are demonstrated and verified by a test case, which offers a perspective for effectively realizing optimal Planning of the CSs considering the constraints from both transportation and distribution networks.
Yue Xiang - One of the best experts on this subject based on the ideXlab platform.
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Economic Planning of electric vehicle charging stations considering traffic constraints and load profile templates
Applied Energy, 2016Co-Authors: Yue Xiang, Junyong Liu, Shuoya TangAbstract:This paper develops a novel solution to integrate electric vehicles and optimally determine the siting and sizing of charging stations (CSs), considering the interactions between power and transportation industries. Firstly, the origin–destination (OD) traffic flow data is optimally assigned to the transportation network, which is then utilized to determine the capacity of charging stations. Secondly, the charging demand of charging infrastructures is integrated into a cost-based model to evaluate the Economics of candidate plans. Furthermore, load capability constraints are proposed to evaluate whether the candidate CSs deployment and tie line plans could be adopted. Different scenarios generated by load profile templates are innovatively integrated into the Economic Planning model to deal with uncertain operational states. The models and framework are demonstrated and verified by a test case, which offers a perspective for effectively realizing optimal Planning of the CSs considering the constraints from both transportation and distribution networks.
Mohammed Elsayed Lotfy - One of the best experts on this subject based on the ideXlab platform.
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integrated approach for optimal techno Economic Planning for high renewable energy based isolated microgrid considering cost of energy storage and demand response strategies
Energy Conversion and Management, 2020Co-Authors: Mark Kipngetich Kiptoo, Mohammed Elsayed Lotfy, Oludamilare Bode Adewuyi, Abdul Conteh, Abdul Motin Howlader, Tomonobu SenjyuAbstract:Abstract To realize an efficient energy supply system for an isolated microgrid, a joint design framework that considered the capacity sizing alongside operational Planning is essential. In this work, an integrated Planning model was developed to investigate the techno-Economic performances of a high renewable energy-based standalone microgrid. The approach combines capacity sizing and operation scheduling, considering demand-side management strategies for different system design scenarios. The evaluated scenarios involved the combination of wind turbine, photovoltaic system, diesel generator, with either battery energy storage or pumped thermal energy storage. A demand response program based on instantaneous renewable energy availability is proposed with dynamic pricing Economic model for improving the overall system flexibility. Mixed-integer linear programming algorithm on MATLAB® is deployed as the optimization solver. The minimization of the sum of system costs which includes equivalent annual costs of the investments, running costs and costs based on demand-side management strategies is the objective function. The combination of photovoltaic, wind turbine and pumped thermal energy storage is found to be the most techno-Economically efficient system configuration for the considered microgrid. More so, the proposed demand response strategy minimizes the mismatch between the generation and the load demand profile effectively, thereby increasing the system flexibility.
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multiobjective mix generation Planning considering utility scale solar pv system and voltage stability nigerian case study
Electric Power Systems Research, 2019Co-Authors: Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Tomonobu Senjyu, Ryuto Shigenobu, Abdul Motin HowladerAbstract:Abstract The quest for Economic growth has led to increase in world's energy consumption and to meet this continuously widening energy gap, high penetration of variable energy resources (VER) into the energy mix of countries all over the world is being encouraged. However, there is a limitation on the capacity of existing transmission facilities and the power system is more susceptible to voltage instability issues and the number of outages caused by voltage collapse has increased greatly. In this paper, a capacity factor based approach for optimal penetration of utility-scale PV solar power into the Nigerian power system considering voltage stability is discussed and compared with the line loss minimization approach. Multi-objective particle swarm optimization algorithm on MATLAB® is used to compute sufficient capacity of solar PV that the power system can accommodate while maintaining the stability of the system. An additional constraint based on voltage stability margin is included to keep the system within the stability margin. The proposed approach with the added constraint is found to perform better for both line loss reduction and voltage stability improvement than the line loss minimization approach. Two optimization algorithms are used to verify the accuracy of the approach for techno-Economic Planning.
E T F Witkowski - One of the best experts on this subject based on the ideXlab platform.
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baobab adansonia digitata l fruit production in communal and conservation land use types in southern africa
Forest Ecology and Management, 2011Co-Authors: Sarah M Venter, E T F WitkowskiAbstract:Abstract Baobab fruit are harvested and used throughout Africa as an important source of food and are sold to generate income. Commercial use is increasing rapidly as derivatives of the fruit such as baobab seed oil and fruit pulp are being exported to Europe and North America. The cash derived from the sale of fruit support thousands of rural people. This study examines baobab fruit yields in an area being harvested for commercial use. It represents baobab populations and harvesting scenarios typically found in Southern Africa and is the first study in Africa to combine demographic and production data in determining baobab fruit yields. Fruit production was examined across five land-use types (nature reserves, rocky outcrops, plains, fields and villages) and over three consecutive years. Factors assessed included differences in life-stage, tree size, land-use type, inter-annual variation and quantifiable fruit predation. Results showed that adult trees produced 8 times more fruit than sub-adult trees. Fruit production fluctuated between size-classes and exhibited weak linear and logarithmic trends between fruit production and dbh and crown volume, respectively. There was high variation between trees with 41% of adult trees consistently producing The results of this study are important for Economic Planning and management and are key to determining sustainable harvesting levels of baobab fruit in Southern Africa.
Tomonobu Senjyu - One of the best experts on this subject based on the ideXlab platform.
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integrated approach for optimal techno Economic Planning for high renewable energy based isolated microgrid considering cost of energy storage and demand response strategies
Energy Conversion and Management, 2020Co-Authors: Mark Kipngetich Kiptoo, Mohammed Elsayed Lotfy, Oludamilare Bode Adewuyi, Abdul Conteh, Abdul Motin Howlader, Tomonobu SenjyuAbstract:Abstract To realize an efficient energy supply system for an isolated microgrid, a joint design framework that considered the capacity sizing alongside operational Planning is essential. In this work, an integrated Planning model was developed to investigate the techno-Economic performances of a high renewable energy-based standalone microgrid. The approach combines capacity sizing and operation scheduling, considering demand-side management strategies for different system design scenarios. The evaluated scenarios involved the combination of wind turbine, photovoltaic system, diesel generator, with either battery energy storage or pumped thermal energy storage. A demand response program based on instantaneous renewable energy availability is proposed with dynamic pricing Economic model for improving the overall system flexibility. Mixed-integer linear programming algorithm on MATLAB® is deployed as the optimization solver. The minimization of the sum of system costs which includes equivalent annual costs of the investments, running costs and costs based on demand-side management strategies is the objective function. The combination of photovoltaic, wind turbine and pumped thermal energy storage is found to be the most techno-Economically efficient system configuration for the considered microgrid. More so, the proposed demand response strategy minimizes the mismatch between the generation and the load demand profile effectively, thereby increasing the system flexibility.
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multiobjective mix generation Planning considering utility scale solar pv system and voltage stability nigerian case study
Electric Power Systems Research, 2019Co-Authors: Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Tomonobu Senjyu, Ryuto Shigenobu, Abdul Motin HowladerAbstract:Abstract The quest for Economic growth has led to increase in world's energy consumption and to meet this continuously widening energy gap, high penetration of variable energy resources (VER) into the energy mix of countries all over the world is being encouraged. However, there is a limitation on the capacity of existing transmission facilities and the power system is more susceptible to voltage instability issues and the number of outages caused by voltage collapse has increased greatly. In this paper, a capacity factor based approach for optimal penetration of utility-scale PV solar power into the Nigerian power system considering voltage stability is discussed and compared with the line loss minimization approach. Multi-objective particle swarm optimization algorithm on MATLAB® is used to compute sufficient capacity of solar PV that the power system can accommodate while maintaining the stability of the system. An additional constraint based on voltage stability margin is included to keep the system within the stability margin. The proposed approach with the added constraint is found to perform better for both line loss reduction and voltage stability improvement than the line loss minimization approach. Two optimization algorithms are used to verify the accuracy of the approach for techno-Economic Planning.
