A Genetic Algorithm Approach to Optimal Sizing and Placement of Distributed Generation on Nigerian Radial Feeders (original) (raw)
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Improving the Conditions in a Radial Distribution Feeder by Implementing Distributed Generation
Distribution feeder is the final stage in the delivery of electricity to consumers. The feeder can be radial or networked. Radial feeders leave the power station towards the consumers without any connection to other power supply. Networked feeders have multiple connections to other supply points. It is common for long radial feeders for voltage to drop along the way and for losses to increase with increasing consumer’s power or the number of consumers. In order to minimize feeder losses and improve voltage profile distributed generation (DG) can be implemented. It is important to define the optimal location and power of distributed generation in a specific feeder to obtain its maximum potential benefits. This paper presents a solution for optimal DG placement by selecting the right terminal and power of DG using the Genetic Algorithm (GA) and the Artificial Neural Network (ANN) hybrid method. The method is tested on a part of Croatian distribution network and verified by DIgSILENT PowerFactory software and the analytical approach. The results and comparison thereof and presented in clear and legible form.
Journal of Advances in Science and Engineering
This research work has presented the application of distributed generation (DG) units in a simultaneous placement approach on IEEE 33 radial test systems for validation of the technique with further implementation on 56-Bus Hayin Rigasa feeder. The genetic algorithm (GA) is employed in obtaining the optimal sizes and load loss sensitivity index for locations of the DGs for entire active and reactive power loss reduction. The voltage profile index is computed for each bus of the networks to ascertain the weakest voltage bus of the network before and after DG and circuit breaker allocation. The simultaneous placement approach of the DGs is tested with the IEEE 33-bus test networks and Hayin Rigasa feeder network and the results obtained are confirmed by comparing with the results gotten from separate DGs allocation on the networks. For IEEE 33-bus system, the simultaneous allocation of DGs and of optimal sizes 750 kW, 800 kW and at locations of buses 2 and 6 respectively, lead to a 66...
Optimal Capacitor Placement Technique for Optimization of Power Distribution Networks in Nigeria
Iconic Research and Engineering Journals, 2019
The protracted inability of Distribution Companies (DisCos) in Nigeria to optimally operate their distribution networks has given rise to the huge annual losses being currently experienced in the country. Thus, there is need to find a way of minimizing these losses. To address this problem, this paper proposes an optimum capacitor placement technique based on genetic algorithm (GA) which can be used to achieve improved reactive power compensation on distribution networks in Nigeria. Thus, using the Benin Electricity Distribution Company (BEDC) network as a case study, a load flow analysis was carried out on the existing Asaba Government Core Area injection substation distribution network comprising one 15MVA 33/11kV power transformer and its associated two radially connected 11kV feeders-Saint Patrick's College (SPC) and Anwai road feeder respectively with an aggregate of ninety six (96) secondary distribution 11/0.415kV transformers as load buses. Data used for the study were obtained from BEDC Asaba Business District between May and July, 2017. A simulation model of the network was built in ETAP 7.0.0 software environment. Using Newton-Raphson algorithm as available in ETAP, load flow analysis of the network indicated that the system requires reactive power compensation as total average active and reactive power losses of 389kW and 818kVAr respectively were incurred after the peak load network transient stability assessment of the 96 load buses was simulated. Using the current multi-year tariff order (MYTO) for BEDC with the cost of a kWh of energy at N 31.27 for residential customers as base, the cost of energy lost in the network under review was estimated for a 10 year period at about N1, 065,569,028.00 if left uncompensated. When compensated by the optimal placement of shunt capacitor banks in the network, all bus voltages were found to be within acceptable limits as active and reactive power loses were reduced to 147.82kW and 237.22kVAr respectively. Cost benefit analysis carried out showed that this reduction in losses amounted to a savings of about N 640,742,713.10 (60.13%) for the 10 years period after the network was optimized.
Global Scientific Journal, 2020
The study assessed the performance improvement of New-Road-Okilton by Ada-George electric power distribution system consisting of twenty-three (23) distribution transformers. The network was modelled in Electrical Transient Simulation software (ETAP12.6) and load flow performed using Newton-Raphson technique. The result obtained from the pre-upgrade network shows that buses [17(0.949pu), 18(0.948pu), 19(0.947pu), 20 (0.947pu), 21(0.946pu), 22(0.946pu) and 23(0.945pu)]violates thebus voltage statutory limit conditions 0.95-1.01pu. Also, the transformers that are loaded above 80% are as follows:- [4(107.67%), 5(118.33%), 6(113.67%), 11(106.33%) and 21(107.67%)]. Real and reactive power losses on the line are 130.978KW and 161.086kvar. However, tap setting the transformer LTC, upgrading overloaded transformers and placement of capacitor bank improved the voltage profile of the buses [17(0.982pu), 18(0.981pu), 19(0.981pu), 20(0.980pu), 21(0.980pu), 22(0.980pu) and 23(0.980pu)], also improved the load profile of the transformers [T4(64.6%), T5(69.0%), T6(68.2%), T11(63.8%) and T21(64.6%)]and the real and reactive power losses in the line have been reduced to 81.94KW and 94.359kvar. It is thereby concluded that the proposed optimization techniques impacted significantly in the improvement of the distribution network. Key word:Buses, Capacitor bank,Distribution network, Losses, Substation, Voltage profile, Transformer LTC setting
Global Scientific Journals, 2020
The secondary and tertiary distribution systems of an electric power network are often occasioned with high power losses and low voltage profile. The high power losses could result from technical and nontechnical issues. This work investigates the impact of optimally sizing and placing Distributed Generation (DG) in the Ikwerre Road 11KV distribution network for the purpose of enhancing the overall performance of the network by reducing total power losses and enhancing the voltage profile of the network. Necessary data were gathered from Port Harcourt Electricity Distribution Company (PHEDC) and the Adaptive Newton Raphson load flow technique was used to simulate the network in ETAP 12.6 to ascertain the state of the network. Loss Sensitivity Factor (LSF) technique was used to select the optimal buses for DG integration while Particle Swam Optimization (PSO) technique was adopted to optimally size the DG corresponding to each bus. The choice of a gas powered plant as against installation of a photo-voltaic power system was influenced by the availability of materials locally, the urban nature of the research area and the economic feasibility of the project. From the results obtained, total branch loses without DG is 113.668Kw, 64.41Kvar; with DG at optimal bus, the branch losses are 27.046Kw and 16.277Kvar.Voltage at the least bus improved from 0.943pu which is below NERC acceptable limit to 0.992pu; while the maximum voltage is 1.003pu.
The Role of Distributed Generation on The Performance of Electrical Radial Distribution Network
AFRICAN JOURNAL OF APPLIED RESEARCH
Purpose: This article provides available information on the role of distributed generation (DG) in the performance of a power distribution network. Design/methodology/approach: The study reviewed articles about available methods for reducing technical losses in electrical distribution networks. The second step involved studying various researchers' views on renewable energy in some developing countries for introducing DG into a distribution network. The influence of DG on the economic performance of a distribution network. Finally, the study scouted for available information on the implementation of a demand response (DR) program on the performance of a distribution network in the presence of DG. Findings: Available information reveals that the reliability of DG for reducing the technical losses in a distribution network is higher than relying on alternating current controllers. There are indications of renewable energies in developing countries for introducing DG into a distr...
Approach for Optimal Allocation of a Distributed Generator in a Radial Distribution Feeder for
2014
This paper proposes a novel approach for optimal allocation of a distributed generator in a radial distribution feeder for loss minimization and tail end node voltage improvement during peak load. A multi objective optimization method is proposed to determine optimal allocation of a distributed generation (DG) unit in a radial distribution feeder. The DG allocation problem has been formulated as multi objective function which includes two objectives: viz Power Loss Reduction and Tail End Node Voltage Improvement with associated weights. The proposed methodology uses Genetic Algorithm to optimize the multi objective function. This method is tested on standard IEEE 33 bus radial distribution system using MATLAB 8.0. The results show that the proposed method yields significant reduction in line losses and considerable tail end node voltage improvement during peak load.
International Journal of Scientific & Engineering Research, 2016
This project presents a novel method for designing of an electrical power distribution network within Damaturu town with highly accurate-efficiency. The design involves the task of designing a new electrical power distribution network that will be efficient and reliable. The town is been supply by 2 7.5 transformers which became grossly overloaded due to the frequent increases in demand because of the series of developmental projects. The capacities of all the transformers were taken and the percentage loading of the whole injections substation were calculated. Suggestion is being made as for the capacities of power transformers that can accommodate the future load to avoid any problem of power demand factor. The new design recommended to use 2 7.5 transformers, one transformer will supply the Alimarami Feeder while the other one will serves the Maiduguri road feeder thereby, tackling the problems IJSER © 2016 http://www.ijser.org of over loading on the installed injection substation transformers and the distribution transformers. The work recommended using 2 7.5 transformers at the injection substation. The project is designed in such a way that it has to be implemented at stages which gives wide choice of procedures.
Technical Loss Estimation and Reduction in a Typical Nigerian Distribution System: A Case Study
2018
Nigeria’s electric power distribution network is faced with high technical power losses arising mainly from the radial nature of distribution systems, long length of feeders and poor voltage profile. This work estimates the financial implication of the technical losses in a typical Nigerian distribution network and proposes ways to reduce it. The existing Benin Electricity distribution company (BEDC) Asaba government core area injection substation distribution network comprising of a 15MVA 33/11KV power transformer and its two number radially connected 11KV feeders – SPC and Anwai road with their aggregate of ninety six (96) number secondary distribution 11/0.415KV transformers was modelled with ETAP 7.0.0 software, and a load flow analysis was carried on the modelled network using Newton-Raphson method deployed in the ETAP 7.0 software. This was done to determine bus voltages, real and reactive power losses in the network. Data used for the study were obtained from BEDC Asaba busi...