In planning of radial power distribution system, optimal feeder routing play an important role. This paper proposes a simple approach to optimize the total annual cost of the network, which represents investment cost (fixed cost) for feeder line as well as substation and operational costs (energy loss costs). The main objective of this method is to find the optimal route for each load point in large size electric power distribution system and to obtain the optimal radial network. An algorithm is proposed for simplified case study of a feeder network. The proposed algorithm is validated using MATLAB and the result thus obtained is compared with the existing results. The numerical results with different test cases are discussed, thus verifying the effectiveness of this approach.
Reliability and sustainability are the real problems of today's complex power systems. These challenges are met by increasing the renewable generation. With increase in penetration of renewable resources, mostly solar and wind generation, power systems are expected to experience changes in operational and dynamic characteristic. This work investigates the impact of penetration of distributed solar photovoltaic generation and DFIG based wind generation on small signal stability of power systems. In this paper, the eigenvalue analysis of proposed grid connected distributed photovoltaic generation and wind energy system is carried out to allocate the different modes (local mode, inter-area mode and critical mode) of the system. The simulation results with different cases demonstrate the effectiveness of the proposed approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.