Abstract:Phasor Measurement Unit (PMU) is more and more concerned in power distribution network due to its great benefit. In near future, it may become an essential device in the modern distribution systems. The Optimal PMU Placement (OPP) problem on transmission network for full system observability, was fully done. However, in distribution network the change of configuration in normal operation and contingency modes has a very large impact to find the location of PMUs on network. Some methods have been proposed to so… Show more
“…However, this paper refrained from presenting the execution times in Tables 4-10 as they are similar to the values of Table 2. 2,3,4,5,6,8,10,11,12,13,14,15,16,17,19,20,21,22,23,24,27,28,29,31,32,33,35,36,37,38,39,40,41,42,43,45,46,47,48,50,51,52,53,55,56,58,59,60,61,63,64,65,66,67,69,…”
“…However, the developed OPP formulations for the transmission grids cannot be applied immediately to the distribution grids as they required to be reconfigured abruptly by opening/closing the sectionalizing and the tie switches to reduce power losses, and to improve the node voltage profile, power quality, system security and reliability [24][25][26]. By considering the mentioned notes, the researchers started investigating the OPP problems for the distribution grids in recent years [27][28][29][30][31][32][33]. In [27], the OPP problem was solved for the distribution grids based on a graph-theoretic approach.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al [30], illustrated a stochastic optimization approach to solve the PMU deployment problem with minimum investment cost and extended in [31] considering performance degradation of the PMU but the authors did not scan through all possible grid reconfigurations. Another approach considered only one grid reconfiguration by closing all switches and applying constraints of the OPP problem to ensure full grid observability [32]. The influences of the grid reconfiguration were taken into consideration while solving the measurement device placement problem for distribution grid in [33].…”
Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results with the mixed integer linear programming (MILP)-based approach and the referenced works. The obtained results demonstrate the superiority of the proposed formulation and solution methodology compared to other methodologies.
“…However, this paper refrained from presenting the execution times in Tables 4-10 as they are similar to the values of Table 2. 2,3,4,5,6,8,10,11,12,13,14,15,16,17,19,20,21,22,23,24,27,28,29,31,32,33,35,36,37,38,39,40,41,42,43,45,46,47,48,50,51,52,53,55,56,58,59,60,61,63,64,65,66,67,69,…”
“…However, the developed OPP formulations for the transmission grids cannot be applied immediately to the distribution grids as they required to be reconfigured abruptly by opening/closing the sectionalizing and the tie switches to reduce power losses, and to improve the node voltage profile, power quality, system security and reliability [24][25][26]. By considering the mentioned notes, the researchers started investigating the OPP problems for the distribution grids in recent years [27][28][29][30][31][32][33]. In [27], the OPP problem was solved for the distribution grids based on a graph-theoretic approach.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al [30], illustrated a stochastic optimization approach to solve the PMU deployment problem with minimum investment cost and extended in [31] considering performance degradation of the PMU but the authors did not scan through all possible grid reconfigurations. Another approach considered only one grid reconfiguration by closing all switches and applying constraints of the OPP problem to ensure full grid observability [32]. The influences of the grid reconfiguration were taken into consideration while solving the measurement device placement problem for distribution grid in [33].…”
Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the installed PMU. Additionally, the formulation is extended to various contingency cases i.e., the single line outage and single PMU loss cases. This paper solves the proposed OPP formulation employing a heuristic technique called backtracking search algorithm (BSA) and tests its effectiveness through different IEEE standard distribution feeders. Additionally, this study compares the obtained results with the mixed integer linear programming (MILP)-based approach and the referenced works. The obtained results demonstrate the superiority of the proposed formulation and solution methodology compared to other methodologies.
“…The changes of configuration in the distribution system under normal operation and contingency modes have a huge impact on finding the best location of PMUs. Hence [7] suggested a novel elucidation method to identify the best feasible location for PMUs. This method ensures full framework observability in all distribution network activity operation settings by calculating only one configuration.…”
The technological advancements and policy reformations make the electric power distribution system an active network. The modern power system operational regulations encourage coordinated network operations among various entities and customer participation. Unlike traditional operational environments, real-time monitoring has become a mandate for secure and reliable operations. Phasor Measurement Units (PMU) is the most reliable data acquisition tool, and their application for State Estimation (SE) has already been proven. This work extends the application of PMUs for the distribution system. A multi-objective optimization framework is proposed considering the optimal placement of PMU, network reconfiguration, and topology expansion. A novel optimization tool, the sea lion optimizer has been chosen to address the developed optimization problem. The proposed operational model is employed in IEEE RBTS-2 bus system, IEEE 33 node system and 69 node radial distribution network. Numerical results provide new insights into PMUs role in enhancing distribution network operations. The statistical indices confirm that the intended optimizer performs well in the chosen highly constrained optimization environment.
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