john nweke | University Of Nigeria,(UNN) Nsuka (original) (raw)

Papers by john nweke

2017 IEEE PES PowerAfrica

The installation of distributed generator (DG) is becoming increasingly attractive to utilities a... more The installation of distributed generator (DG) is becoming increasingly attractive to utilities and consumers because distributed generation produces energy close to the load, are more efficient with reduced active losses and have less environmental impact. The paper proposed a validated two-step optimization novel technique with full Newton Raphson load flow. In the first step, the optimal size of DG is determined by partial derivative of exact loss formula with respect to active power injected by the DG. Whereas in the second step, the optimal location is found by loss sensitivity factor (LSF) aimed at reducing active power losses as well as improving the voltage profile of the network. Through a developed algorithm the sizing and location of the DG was validated. The test is carried out through Power System Software for Engineering (PSS/E) with the 28-bus 330kV Nigerian power network. The effectiveness yields 6.2% reduction in active power loss. Also, some of the vulnerable buses whose voltages were outside the statutory limit of 0.95 pu ≤ Vi ≤ 1.05pu: Ayede, Osogbo, New-haven, Onitsha, Gombe, Jos, Kaduna, Kano and Makurdi were improved.

Engineering review

This paper presents a headroom-based optimization for the placement of distributed generation (DG... more This paper presents a headroom-based optimization for the placement of distributed generation (DG) in a distribution substation. The penetration limits of DGs into the existing distribution substations are often expressed as a function of the feeder’s hosting capacity (headroom). Therefore, it is important to estimate the reliability of the network's operation as well as that of the limits imposed by the power quality standards by evaluating of the hosting capacity (headroom) of the existing distribution feeder substation. This study aims at developing a novel algorithm for positioning a bus with permissible headroom capacity for DG positioning without causing voltage violations but maximizing the active power supply. Since DG increases short-circuit faults, the algorithm is useful for utility companies to select feeder substations that have permissible headroom capacity for DG installation and thus, contributing to reducing high DG penetration in the network. The modeling and o...

Development is crucial to the sustenance and growth of any nation. Since independence, Nigeria ha... more Development is crucial to the sustenance and growth of any nation. Since independence, Nigeria has embarked on series of National Development plans and visions in her endless efforts to search for appropriate development strategies. It is worrying that these development plans and visions have failed to achieve their expected objectives. This is obvious from the widespread poverty, derelict infrastructure, immense unemployment, high incidence of diseases and excessive debt burden among others bedevilling the country. Nigeria in the last fifty years has been combatting the problems of development in spite of huge human, material and natural resources in her possession. This paper discusses the problems affecting National Development Planning in Nigeria. The paper also proposes the adoption of empirical formulae and models for National Development planning especially in the area of electricity production for sustainable socio-economic development. The paper concluded that faithful impl...

2021 International Conference on Decision Aid Sciences and Application (DASA), 2021

The implementation of voltage collapse mitigation measures in power distribution systems was inve... more The implementation of voltage collapse mitigation measures in power distribution systems was investigated through a bus voltage sensitivity index (BVSI) optimization method in this paper. Bus sensitivity analysis in a power system network uses voltage performance index optimization approaches to find weak buses that are vulnerable to voltage collapse. This paper proposed a method to identify those weak buses. Through the evaluation of headroom capacity of the network, the identified weak buses are then optimally connected with distributed generation (DG). This will have an impact on network voltage improvement, power loss reduction, and overall network reliability. The IEEE 14 bus distribution network system is used to test the effectiveness of the proposed method. The results suggest that among all of the identified candidate buses, buses 12 and 14 are vulnerable to system voltage failure. However, bus 14 has the highest sensitivity index, hence the best optimal location for DG. The results also show that those susceptible buses for voltage collapse were improved and power loss was reduced to 10.32% after the mitigation measures were applied.

International Journal of Engineering Trends and Technology, 2017

Different types of distributed generation (DG) power plant have different impacts on distribution... more Different types of distributed generation (DG) power plant have different impacts on distribution networks. This paper investigates the impact of optimal placement and sizing of different types of DG units in distribution networks with respect to power system losses and voltage profile. Three different types of DGs; solar photovoltaic, diesel generator and wind turbine are installed on a 30-bus 33kV radial distribution network. The analysis is conducted in power system software for Engineering (PSS/E) environment. The research used a two-step consolidated optimization novel technique with full Newton Raphson load flow algorithm combined with loss sensitivity factor to optimize the size and location of DG in the 33kV feeder distribution network. This optimization technique is evaluated using different types of distributed generators on the 30-bus, 33kV feeder distribution network. The obtained results show that different types of DG influence differently the distribution network and that their precise location and size are vital in reducing power losses and improving the voltage profile. The type 3 DG (wind) has the least potential for improving voltage profile as well as system power reduction of the distribution network. Hence this serves as a vital tool for system Engineers on the type of renewable energy source technology to be employed in integrating it to distribution power system.

International Journal of Recent Engineering Science, 2020

Different types of distributed generation (DG) power plant have different impacts on distribution... more Different types of distributed generation (DG) power plant have different impacts on distribution networks. This paper investigates the impact of optimal placement and sizing of different types of DG units in distribution networks with respect to power system losses and voltage profile. Three different types of DGs; solar photovoltaic, diesel generator and wind turbine are installed on a 30-bus 33kV radial distribution network. The analysis is conducted in power system software for Engineering (PSS/E) environment. The research used a two-step consolidated optimization novel technique with full Newton Raphson load flow algorithm combined with loss sensitivity factor to optimize the size and location of DG in the 33kV feeder distribution network. This optimization technique is evaluated using different types of distributed generators on the 30-bus, 33kV feeder distribution network. The obtained results show that different types of DG influence differently the distribution network and that their precise location and size are vital in reducing power losses and improving the voltage profile. The type 3 DG (wind) has the least potential for improving voltage profile as well as system power reduction of the distribution network. Hence this serves as a vital tool for system Engineers on the type of renewable energy source technology to be employed in integrating it to distribution power system.

2017 IEEE PES PowerAfrica

The installation of distributed generator (DG) is becoming increasingly attractive to utilities a... more The installation of distributed generator (DG) is becoming increasingly attractive to utilities and consumers because distributed generation produces energy close to the load, are more efficient with reduced active losses and have less environmental impact. The paper proposed a validated two-step optimization novel technique with full Newton Raphson load flow. In the first step, the optimal size of DG is determined by partial derivative of exact loss formula with respect to active power injected by the DG. Whereas in the second step, the optimal location is found by loss sensitivity factor (LSF) aimed at reducing active power losses as well as improving the voltage profile of the network. Through a developed algorithm the sizing and location of the DG was validated. The test is carried out through Power System Software for Engineering (PSS/E) with the 28-bus 330kV Nigerian power network. The effectiveness yields 6.2% reduction in active power loss. Also, some of the vulnerable buses whose voltages were outside the statutory limit of 0.95 pu ≤ Vi ≤ 1.05pu: Ayede, Osogbo, New-haven, Onitsha, Gombe, Jos, Kaduna, Kano and Makurdi were improved.

Engineering review

This paper presents a headroom-based optimization for the placement of distributed generation (DG... more This paper presents a headroom-based optimization for the placement of distributed generation (DG) in a distribution substation. The penetration limits of DGs into the existing distribution substations are often expressed as a function of the feeder’s hosting capacity (headroom). Therefore, it is important to estimate the reliability of the network's operation as well as that of the limits imposed by the power quality standards by evaluating of the hosting capacity (headroom) of the existing distribution feeder substation. This study aims at developing a novel algorithm for positioning a bus with permissible headroom capacity for DG positioning without causing voltage violations but maximizing the active power supply. Since DG increases short-circuit faults, the algorithm is useful for utility companies to select feeder substations that have permissible headroom capacity for DG installation and thus, contributing to reducing high DG penetration in the network. The modeling and o...

Development is crucial to the sustenance and growth of any nation. Since independence, Nigeria ha... more Development is crucial to the sustenance and growth of any nation. Since independence, Nigeria has embarked on series of National Development plans and visions in her endless efforts to search for appropriate development strategies. It is worrying that these development plans and visions have failed to achieve their expected objectives. This is obvious from the widespread poverty, derelict infrastructure, immense unemployment, high incidence of diseases and excessive debt burden among others bedevilling the country. Nigeria in the last fifty years has been combatting the problems of development in spite of huge human, material and natural resources in her possession. This paper discusses the problems affecting National Development Planning in Nigeria. The paper also proposes the adoption of empirical formulae and models for National Development planning especially in the area of electricity production for sustainable socio-economic development. The paper concluded that faithful impl...

2021 International Conference on Decision Aid Sciences and Application (DASA), 2021

The implementation of voltage collapse mitigation measures in power distribution systems was inve... more The implementation of voltage collapse mitigation measures in power distribution systems was investigated through a bus voltage sensitivity index (BVSI) optimization method in this paper. Bus sensitivity analysis in a power system network uses voltage performance index optimization approaches to find weak buses that are vulnerable to voltage collapse. This paper proposed a method to identify those weak buses. Through the evaluation of headroom capacity of the network, the identified weak buses are then optimally connected with distributed generation (DG). This will have an impact on network voltage improvement, power loss reduction, and overall network reliability. The IEEE 14 bus distribution network system is used to test the effectiveness of the proposed method. The results suggest that among all of the identified candidate buses, buses 12 and 14 are vulnerable to system voltage failure. However, bus 14 has the highest sensitivity index, hence the best optimal location for DG. The results also show that those susceptible buses for voltage collapse were improved and power loss was reduced to 10.32% after the mitigation measures were applied.

International Journal of Engineering Trends and Technology, 2017

Different types of distributed generation (DG) power plant have different impacts on distribution... more Different types of distributed generation (DG) power plant have different impacts on distribution networks. This paper investigates the impact of optimal placement and sizing of different types of DG units in distribution networks with respect to power system losses and voltage profile. Three different types of DGs; solar photovoltaic, diesel generator and wind turbine are installed on a 30-bus 33kV radial distribution network. The analysis is conducted in power system software for Engineering (PSS/E) environment. The research used a two-step consolidated optimization novel technique with full Newton Raphson load flow algorithm combined with loss sensitivity factor to optimize the size and location of DG in the 33kV feeder distribution network. This optimization technique is evaluated using different types of distributed generators on the 30-bus, 33kV feeder distribution network. The obtained results show that different types of DG influence differently the distribution network and that their precise location and size are vital in reducing power losses and improving the voltage profile. The type 3 DG (wind) has the least potential for improving voltage profile as well as system power reduction of the distribution network. Hence this serves as a vital tool for system Engineers on the type of renewable energy source technology to be employed in integrating it to distribution power system.

International Journal of Recent Engineering Science, 2020

Different types of distributed generation (DG) power plant have different impacts on distribution... more Different types of distributed generation (DG) power plant have different impacts on distribution networks. This paper investigates the impact of optimal placement and sizing of different types of DG units in distribution networks with respect to power system losses and voltage profile. Three different types of DGs; solar photovoltaic, diesel generator and wind turbine are installed on a 30-bus 33kV radial distribution network. The analysis is conducted in power system software for Engineering (PSS/E) environment. The research used a two-step consolidated optimization novel technique with full Newton Raphson load flow algorithm combined with loss sensitivity factor to optimize the size and location of DG in the 33kV feeder distribution network. This optimization technique is evaluated using different types of distributed generators on the 30-bus, 33kV feeder distribution network. The obtained results show that different types of DG influence differently the distribution network and that their precise location and size are vital in reducing power losses and improving the voltage profile. The type 3 DG (wind) has the least potential for improving voltage profile as well as system power reduction of the distribution network. Hence this serves as a vital tool for system Engineers on the type of renewable energy source technology to be employed in integrating it to distribution power system.