Multi-criteria decision-making approach for multi-stage optimal placement of phasor measurement units

Sodhi, Ranjana; Srivastava, S. C.; Singh, S. N.

doi:10.1049/iet-gtd.2009.0709

Cited by 104 publications

(71 citation statements)

References 12 publications

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“…Unlike common methods used for the MPP dedicating several separate optimizations corresponding to each planning stage [24][25][26][27], this paper takes the advantage of the method used in [39], known as the dynamic MPP. The method searches for the optimal solution in the whole search space in just one optimization run, while in traditional approaches, specific buses are firstly chosen to be equipped with PMUs for the first stage by means of an optimization problem.…”

Section: Probabilistic Multi-stage Pmu Placement With Incremental Seamentioning

confidence: 99%

“…[39] in which a completely different formulation is utilized for the deterministic MPP. In this case, the network comprises 15 ZIBs and 11 PMUs at specific buses (shown in Table 5) that make the system observable [26]. Considering this set of candidate buses, a three-stage PMU placement has been implemented with 4, 4 and 3 PMUs budget for the first to third stages, respectively.…”

Section: Second Scenario (Validating Zibs Consideration)mentioning

confidence: 99%

“…Thus, the PMU installation is done over separate planning stages for a specific timetable as a Multistage PMU Placement (MPP) optimization problem [24]. In the deterministic framework, the MPP has been investigated with various objectives such as maximizing the network observability over the time horizons [25], maximizing tie-line observability by means of the analytic hierarchy process method [26], and phasing PMUs in order of precedence at sparse locations [29]. Furthermore, the delivery costs for PMUs' relocation is investigated in the MPP context in [30].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dual Enhancement of Power System Monitoring: Improved Probabilistic Multi-Stage PMU Placement with an Increased Search Space & Mathematical Linear Expansion to Consider Zero-Injection Bus

et al. 2018

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This paper presents a mathematical linear expansion model for the probabilistic Multistage Phasor Measurement Unit (PMU) Placement (MPP) in which zero-injection buses (ZIBs), as well as communication channel limitations, are taken into consideration. From the linearization perspective, presenting a model formulizing the probabilistic concept of observability while modelling the ZIB is of great significance, and has been done in this paper for the first time. More importantly, the proposed probabilistic MPP utilizes a technique disregarding the prevalent subsidiary optimizations for each planning stage. Although this technique, in turn, increases the problem complexity with manifold variables, it guarantees the global optimal solution in a wider and thorough search space; while in the prevalent methods, some parts of the search space might be missed. Furthermore, the proposed model indicates more realistic aspects of the MPP where system operators are allowed to follow their intention about the importance of buses such as strategic ones based on monitoring the priority principles. In addition, the model is capable of considering the network topology changes due to long-term expansions over the planning horizon. Finally, in order to demonstrate the effectiveness of the proposed formulation, the model is conducted on the IEEE 57-bus standard test system and the large scale 2383-bus Polish power system.

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Section: Probabilistic Multi-stage Pmu Placement With Incremental Seamentioning

confidence: 99%

Section: Second Scenario (Validating Zibs Consideration)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dual Enhancement of Power System Monitoring: Improved Probabilistic Multi-Stage PMU Placement with an Increased Search Space & Mathematical Linear Expansion to Consider Zero-Injection Bus

et al. 2018

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“…So the most sensitive buses in given power system based on load changes, are found and PMU's are optimally placed such that all the sensitive buses are observed. A technique is proposed in [46] for placing the PMUs in multiple stages over a given time period that ensures complete power system observability even under a branch outage or a PMU failure. The proposed technique is based on integer linear programming (ILP) and a multi-criteria decision-making (MCDM) approach.…”

Section: Integer Programming (Ip)mentioning

confidence: 99%

Artificial Intelligence Versus Conventional Mathematical Techniques: A Review for Optimal Placement of Phasor Measurement Units

Negash

Khan

Yohannes

2016

Technol Econ Smart Grids Sustain Energy

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The Phasor Measurement Unit (PMU) is a contemporary metering device installed on system to enable the power system monitoring and control. PMUs are most accurate and advance time synchronized technology which provides measurements of voltages at the buses and also current phase values which are connected to those buses where these PMUs are located. PMU placement on each bus of a system is difficult to achieve either due to cost factor or due to non-existence limitation of communication facilities in some parts of the system. Moreover, as a consequence of Ohm's Law, when a PMU is placed at a bus, neighboring busses also become observable. This implies that a system can be made observable with a lesser number of PMUs than the number of busses. It is necessary to determine the minimum number of PMUs for entire observability of the power network. The optimal placement of PMUs (OPP) problem can be solved by various techniques. Hence in this paper a comprehensive review is presented on the OPP problems under the characterization of heuristic and mathematical methodologies. Also a comparison between

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“…PMU reports time-tagged voltage and current phasors required for the dynamic monitoring functions at a much faster rate than the conventional Supervisory Control and Data Acquisition/Energy Management System (SCADA/ EMS). With relatively higher cost of PMUs as on date, these have to be optimally placed to make the system observable (Sodhi et al, 2010a;Sodhi et al, 2011). Utilizing these dynamic measurements, the WAMPC system addresses the automated emergency control functions for various instabilities such as transient, frequency and voltage instabilities.…”

Section: Smart Transmission Grid Using Synchro-phasor Technologymentioning

confidence: 99%

Electrical power transmission and energy management system

Sen¹

2015

Proceedings of the Indian National Science Academy

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Electrical power transmission system forms an important part of the electricity network required to transfer bulk amount of power produced at remotely located generating stations to the load centres. In most of the countries, including India, the electricity sector has a vast interconnected system of generation, transmission and distribution network, which requires modern computer-aided operation and control system. Such a system is called 'Energy Management System (EMS)', conventionally based on Supervisory Control and Data Acquisition (SCADA) features. With the recent development of dielectric as well as conducting materials, power electronic devices, information technology and automation system, a new class of transmission and control equipment is being used and the energy management system is also being modernized. Recent blackouts in India and other countries have prompted the use of Wide Area Monitoring Control and Protection System (WAMCPS) based on synchrophasor technology for real time monitoring of dynamic states and security of the system. This paper describes the present status and future developments in the electrical power transmission, energy management system, and emerging technologies, specifically in the Indian context.

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Multi-criteria decision-making approach for multi-stage optimal placement of phasor measurement units

Cited by 104 publications

References 12 publications

Dual Enhancement of Power System Monitoring: Improved Probabilistic Multi-Stage PMU Placement with an Increased Search Space & Mathematical Linear Expansion to Consider Zero-Injection Bus

Dual Enhancement of Power System Monitoring: Improved Probabilistic Multi-Stage PMU Placement with an Increased Search Space & Mathematical Linear Expansion to Consider Zero-Injection Bus

Artificial Intelligence Versus Conventional Mathematical Techniques: A Review for Optimal Placement of Phasor Measurement Units

Electrical power transmission and energy management system

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