Modern power system with renewables in distribution network has made the opti mal sizing and location of reactive power support crucial and essential. By opti mal locating and sizing of reactive power support resources causes a pow er loss reduction, i mprovement i n voltage profile and maxi mizes techno-economic benefits to consumers and system operators while improving overall system performance and reliability. However, the opti mal location of the reactive power supporting device (OLRPSD) and its si zing for voltage control ancillary service is a multi-objective problem requiring a multi-objective multi-criteria decision-maki ng (MOMCDM) approach. In literature, objectives of reactive power supporting have been to mi ni mi ze the power losses. But it has more than one objective that depends upon the reactive power supporting device. Moreover, the economic benefi t from reactive power support also requires to be considered, which is of utmost i mportance for all stakeholders. In this paper, OLRPSD is performed considering fi nancial benefit by an objective of reactive power cost mi ni mization along with other targets like power loss reduction, maxi mization stability margi n of voltage, and mi ni mi zation of deviation of voltage with an application of a recentl y developed MOMCDM technique known as Hybrid Firefly Particle Swarm Opti mi zation with TOPSIS approach (HFPSO-TOPSIS) and is therefore new. This is executed on “modi fied IEEE 33 bus” radial distribution network. Various reactive power compensating devices consi dered are Distributed generation (DG’s), Batteries, capacitors and D-STATCOM and Electric vehicle charging stations. The results show the merit of this method over the existing ones.
CITATION STYLE
Kurundkar, K., & Vaidya, G. A. (2021). Application of HFPSO-TOPSIS approach for optimally locating and sizing of reactive power compensating devices for voltage control ancillary service. International Journal of Electrical and Electronics Research, 9(3), 16–26. https://doi.org/10.37391/ijeer.090301
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