A modified optimal PMU placement problem formulation considering channel limits under various contingencies

Shafiullah, Md; Hossain, Ismail; Abido, M. A.; Abdel-Fattah, Taher; Mantawy, A.H.

doi:10.1016/j.measurement.2018.12.039

Cited by 39 publications

(38 citation statements)

References 25 publications

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“…Mixed Integer Linear Programming (MILP) is an optimization and system analysis tool for problems that have a mix of integer and non-integer variables, thereby providing a flexible and robust method for solving large and complex problems [53]- [55]. In microgrids, continuous variables such as power generation or exchange with the grid form non-integer values, whereas the state of microgrid components such as gridconnected/islanded mode and ESS charging/discharging states, among other states, can be formulated as binary or integer variables.…”

Section: ) Milp and Minlpmentioning

confidence: 99%

A Review of Microgrid Energy Management and Control Strategies

Ahmad

Shafiullah

Ahmed³

et al. 2023

IEEE Access

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Several issues have been reported with the expansion of the electric power grid and the increasing use of intermittent power sources, such as the need for expensive transmission lines and the issue of cascading blackouts, which can adversely affect critical infrastructures. Microgrids (MG) has been widely accepted as a viable solution to improve grid reliability and resiliency, ensuring continuous power supply to loads. However, to ensure the effective operation of the Distributed Energy Resources (DER), Microgrids need to have Energy Management and Control Systems (EMCS). Therefore, considerable research has been conducted to achieve smooth profiles in grid parameters during operation at optimum running cost. This paper aims to provide a review of EMCS techniques that have evolved in recent years. Firstly, the fundamentals of microgrids are discussed for a general overview of the field. Then, a critical literature review is undertaken for the various methods applied for EM optimization in microgrid applications. Multiple factors have been explored in the objective functions throughout this review, including MG daily operational costs, energy storage degradation, revenue through trading with the grid or other parties, and Greenhouse Gas (GHG) emissions. A review of control systems has been conducted next by categorizing them based on the different applications in MGs for stable operation. This paper also focuses on IEEE standards related to MG operation and control to facilitate other researchers to build upon a standardized set of rules and to enhance the interoperability of the diverse EMCS techniques.

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Section: ) Milp and Minlpmentioning

confidence: 99%

A Review of Microgrid Energy Management and Control Strategies

Ahmad

Shafiullah

Ahmed³

et al. 2023

IEEE Access

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“…• system component reliability data to reduce the redundancy requirements for observability in the case of contingencies [27]; • communication constraints [28], or limits in the number of PMU channels [29]- [32].…”

Section: Related Workmentioning

confidence: 99%

Tri-Objective Optimal PMU Placement Including Accurate State Estimation: The Case of Distribution Systems

et al. 2021

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This paper presents a tri-objective Optimal Phasor Measurement Units (PMUs) Placement (OPP) strategy that is focused on the minimization of i) the total number of PMU channels, ii) the maximum state estimation uncertainty based only on high-rate PMU data and iii) the sensitivity of state estimation to line parameter tolerances. The proposed formulation keeps into account system observability with and without contingencies due to single-line and PMU faults. Also, it includes the effect of possible zero-injection buses and a-priori constraints on both the number of PMU channels and the type of PMU measurements performed at each bus. Due to the nonlinear combinatorial nature of the proposed OPP problem, this is solved through a custom implementation of the nondominated sorting genetic algorithm II (NSGA-II). The analysis of the proposed OPP strategy is focused on distribution systems. The placement results obtained using four test systems of a different size show that increasing the number of buses instrumented with PMUs and/or the number of PMU channels beyond given thresholds just leads to larger costs with negligible further reductions in both state estimation uncertainty and sensitivity to line parameters tolerances. Moreover, if PMUs with just two three-phase channels are used, we can avoid instrumenting between 30% and 40% of buses with just a minor impact on state estimation performance even in the case of contingencies. This percentage can be slightly increased if multi-channel PMUs are used. However, this choice generally is not profitable.

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“…Particle swarm optimisation is a similar technique to genetic algorithm, where population solutions are randomly assigned to a system firstly [14]. In [15], the authors described particles as entities that are hovering through multidimensions in space. For every particle, the best location is determined by the fittest position faced by that particle and its neighbouring particles.…”

Section: Particle Swarm Optimisationmentioning

confidence: 99%