Abstract
As the Distributed Generation (DG) is evolving, the distribution network has undergone tremendous change. The DG sources like wind and solar are intermittent in nature. Hence to estimate the Active distribution network’s (ADN) parameters (Voltage and Current) accurately with the DG variation, the traditional offline method like long-term smart distribution network planning (with off-line variant) method is not feasible in terms of network’s reliability and operation. In this work, an online voltage estimation technique using PMU (Phasor Measurement Unit) technology is proposed to enhance a distribution network’s reliable operation and real-time monitoring. The proposed estimation method does not require PMU units at all nodes in the network. The estimation of unknown states information can be achieved from available PMU unit’s data. The proposed methodology is economical and feasible for voltage estimation, and system observability as the number of PMU units required is less. The standard IEEE Distribution network systems are considered for checking the feasibility of the recommended technique. For the simulation of the case studies, MATLAB programming is used. A Forward and Backward sweep (FBS) load-flow algorithm is used to authenticate the proposed methodology.
Highlights
With the rise of distributed or embedded generation in Distribution networks (DN) and local energy producers' involvement, distribution systems have become active and grown more complex
This paper aims to propose a methodology for estimating the voltage magnitude of the radial distribution network using Phasor measurement unit (PMU) technology
The results of optimal PMU placement and their validation, voltage profile estimation with and without Distributed Generation (DG) using PMUs are explained .The simulations are executed in MATLAB environment on an Intel(R) Core(TM) i5-6200U CPU @ 2.30 GHz, 2400 MHz, 2 Core(s), and 4 Logical Processor(s)
Summary
With the rise of distributed or embedded generation in Distribution networks (DN) and local energy producers' involvement, distribution systems have become active and grown more complex. The deregulation market introduced competition among new players, bringing a two-way flow of power in distribution systems. These happenings made the distribution network transform from passive to active configuration; in turn, their difficulty and changing aspects have been built up over time [1]. It is not practical to furnish all the distribution network nodes with metering equipment from an economic perspective. In this context, DSE (Distribution state estimation) plays a predictable part in the actual measurement and monitoring of distribution networks [3]. Due to the high R/X value of the distribution network, high DG penetration, lack of proper communication exchange among the nodes, and other factors, the active distribution network's state estimation process is a strenuous task compared to the transmission networks [4]
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