چکیده:
In recent years, voltage instability has focused on many of its power system users, as well as the growth of demand for electricity and the economy and the environment, has led to the expansion of new energy use. The purpose of this paper was to use a new method for determining the optimal alternative and the minimum number of PMU units in the network based on the best PSO algorithm. From the perspective of the PMUs in the system, location optimization is performed based on the mode of estimation for variable voltage and control variables in a distribution network with DG resources and multiple loads. The purpose of this research is to determine the optimal alternative and the minimum number of units of the PMU and the difference in voltage voltages in the network based on the algorithm.
خلاصه ماشینی:
The purpose of this paper was to use a new method for determining the optimal alternative and the minimum number of PMU units in the network based on the best PSO algorithm.
Introduction In recent years, due to the increase of distributed energy sources and the importance of distribution networks, as well as the reduction of losses and increased reliability, and as a result of increasing the quality of the power supply to consumers, several studies have been conducted to estimate the state of the electrical energy distribution systems with the presence of distributed generation sources, as well as The use of voltage control equipment has been made, including the following: In reference [1], an analysis of the estimation of the state of the Italian electricity distribution system based on the least squared weighting method with regard to the problem of the robustness of the estimation results and the effect of the accurate evaluation of the results of the estimation of the distribution system state on the method of optimizing the optimal measurement location based on the rule has been investigated.
Pig gate and colleagues presented [2] a new PMU based on an error detection method and its location for active distribution networks using real-time estimation.
Table 2- Results obtained for PMU location using the PSO algorithm The location of the PMUs in the network Number of PMUs Operating Conditions 1-3-6-8-9-11-14-18-21-25-30 11 2-3-4-7-9-11-14-15-17-18-19-20-21-24-25-30 16 The pharos voltage can be estimated in each bus by the minimum difference between actual values and measured values after the placement of PMUs with dispersed products.
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