An innovative deterministic algorithm for optimal placement of micro phasor measurement units in radial electricity distribution systems

Author:

Gholizadeh Manghutay Aref,Salay Naderi Mehdi,Fathi Seyed Hamid

Abstract

Purpose Heuristic algorithms have been widely used in different types of optimization problems. Their unique features in terms of running time and flexibility have made them superior to deterministic algorithms. To accurately compare different heuristic algorithms in solving optimization problems, the final optimal solution needs to be known. Existing deterministic methods such as Exhaustive Search and Integer Linear Programming can provide the final global optimal solution for small-scale optimization problems. However, as the system grows the number of calculations and required memory size incredibly increases, so applying existing deterministic methods is no longer possible for medium and large-scale systems. The purpose of this paper is to introduce a novel deterministic method with short running time and small memory size requirement for optimal placement of Micro Phasor Measurement Units (µPMUs) in radial electricity distribution systems to make the system completely observable. Design/methodology/approach First, the principle of the method is explained and the observability of the system is analyzed. Then, the algorithm’s running time and memory usage when applying on some of the modified versions of the Institute of Electrical and Electronics Engineers 123-node test feeder are obtained and compared with those of its deterministic counterparts. Findings Because of the innovative method of step-by-step placement of µPMUs, a unique method is developed. Simulation results elucidate that the proposed method has unique features of short running time and small memory size requirements. Originality/value While the mathematical background of the observability study of electricity distribution systems is very well-presented in the referenced papers, the proposed step-by-step placement method of µPMUs, which shrinks unobservable parts of the system in each step, is not discussed yet. The presented paper is directly applicable to typical problems in the field of power systems.

Publisher

Emerald

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computational Theory and Mathematics,Computer Science Applications

Reference23 articles.

1. Bird mating optimizer for combinatorial optimization problems;IEEE Access,2020

2. Optimal PMU placement by an equivalent linear formulation for exhaustive search;IEEE Transactions on Smart Grid,2012

3. Power system observability with minimal phasor measurement placement;IEEE Transactions on Power Systems,1993

4. State estimation for real-time monitoring of distribution systems;IEEE Transactions on Power Systems,1994

5. Optimal placement of phasor measurement units for power system observability;IEEE Transactions on Power Systems,2008

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal layout scheme design of distribution network micro PMU based on information entropy theory;International Journal of Emerging Electric Power Systems;2023-12-13

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