BINARY DRAGONFLY ALGORITHM BASED OPTIMAL PMU PLACEMENT CONSIDERING CONTINGENCY CONSTRAINTS
Journal: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.11, No. 04)Publication Date: 2020-04-30
Authors : C. D. PATEL T. K. TAILOR S. S. SHAH; S. H. SRIVASTAVA;
Page : 346-43
Keywords : Phasor measurement unit; zero injection bus; binary dragonfly algorithm;
Abstract
With the advent of PMUs, measuring technology has progressed extensively. Despite this advancement, electrical power network entities have not widely installed PMUs due to requirement of large investment. This motivates the researchers to determine the feasible location where installation of optimal count of PMU assure entire network observability. This proposed work also considers the same objective. In this regard, binary dragonfly algorithm (BDA) has been applied for deciding optimal PMU count and their likely locations such that entire power network is observable. Other considerations such as inclusion of zero injection buses (ZIBs) and network contingencies have been incorporated in the formulation as well. The considered optimization method (BDA) is applied to different (9, 14, 30, 39, 57) bus test systems. The results attained using proposed technique have been compared with the other published results in the literature to validate the usefulness of the proposed algorithm.
Other Latest Articles
- IMPROVING CLASSIFICATION ACCURACY IN CROWD SOURCING WITH RANDOM FOREST ALGORITHM
- AN INTELLIGENT ALZHEIMER’S DISEASE PREDICTION USING CONVOLUTIONAL NEURAL NETWORK (CNN)
- THE COMBINATION THERAPY OF MICRONEEDLING AND SUBCISION WITH PLATELET RICH PLASMA (PRP) VERSUS PLATELET RICH FIBRIN MATRIX (PRFM) ON ROLLING AND BOXSCAR TYPE ACNE SCAR (CASE SERIES)
- SUSTAINABLE DEVELOPMENT AND ARCHITECTURE: A CONCEPTUAL BASED ON RELIGIOUS PERSPECTIVES
- TRAFFIC FLOW PREDICTION USING FLOW STRENGTH INDICATORS AND DEEP LSTM NETWORK
Last modified: 2020-05-20 23:22:08