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Energy Flow Calculation of Energy Internet
Qiuye Sun

College of Information Science and Engineering, Northeastern University, Shenyang, China

Published: 13 July 2018 by Springer-Verlag in Energy Internet and We-Energy
Springer-Verlag, 10.1007/978-981-13-0523-8_8
Abstract: In this chapter, an integrated energy network based on the Newton-Raphson method technique is developed to solve the energy flow problem. Referring to initial guess sensitivity issues of Newton method, a convergence theorem of Newton power flow is presented to improve the efficiency of calculation. Meanwhile, the proposed maximum iterations estimation theorem can ensure the rate of convergence. Proposed two theorems can be used to determine the convergence before calculation and directly select optimal initial guess from the feasible region. A case study is utilized to validate correctness and effectiveness of the proposed theorem. Furthermore, to solve the problem of low computing speed and high requirements of computing equipment in large-scale integrated energy networks, a distributed parallel computing method suitable for integrated energy networks is applied. By splitting the coupling nodes, the whole network is decomposed into many subnetworks. At the same time, multiple processors are used in parallel computing to improve the computation speed of energy flow and reduce the demand for a single processor.
Keywords: Convergence, parallel, flow, optimal, Processors, Newton, theorem, Integrated Energy Networks, flow

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