Reactive Power Planning and Total Transfer Capability Enhancement using Facts and Capacitor Banks. | ||||
MEJ- Mansoura Engineering Journal | ||||
Article 9, Volume 46, Issue 3, September 2021, Page 21-30 PDF (1.02 MB) | ||||
Document Type: Research Studies | ||||
DOI: 10.21608/bfemu.2021.196797 | ||||
View on SCiNiTO | ||||
Authors | ||||
Mohammad I. Basha 1; Abdelfattah A. Eladl2; Azza A. ElDesouky3 | ||||
1Researcher (MSc) at Electrical Engineering Department (Port-Said University); Operation Engineer., East Delta for Electricity Production VCompany (EDEPCo)., Damietta., Egypt | ||||
2Associate Professor., Electrical Power Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura 35516., Egypt. | ||||
3Professor of Electrical Engineering Department., Port-Said University., Port-Said., Egypt. | ||||
Abstract | ||||
In view of the continuous annual increase in demand, reactive power planning (RPP) is considered one of the most significant problems to address a major challenge of the secure power system operation. In this paper, a multi-objective genetic algorithm (MOGA) for RPP is proposed, with the goals of cost minimization of power losses, new reactive power (VAR) sources, and maximizing the Total Transfer Capacity (TTC). Different optimization factors are taken into account, including generator voltages, transformer tap changers, and various operating constraints. A fuzzy min-max approach is used to identify the optimum compromise option. Studies are being conducted to compare capacitor banks, flexible ac transmission systems (FACTS), or both as a new VAR support source to improve the system performance. Moreover, the optimal allocations of switchable VAR sources are not determined in advance; instead, they are treated as control variables to improve the techno-economic operation of the network. The effectiveness of the proposed algorithm is examined on the IEEE 30-bus test system where felicitous results have been acquired. From the results, the total annual cost is decreased from 3.671×106 $ before adding new VAR sources to a range between 2.02×106 and 2.486×106 $ depending on the selected type of VAR source. While the transfer capacity is increased from 458.37MW to a range between 483.084 and 539.055 MW. | ||||
Keywords | ||||
Reactive Power Planning; FACTS devices; Capacitor Banks; MOGA Optimization; Total Transfer Capacity | ||||
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