Simultaneous Estimation of the Time of Disturbance and Inertia in Power Systems

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

Shams

Terzija

et al. 2016

Self Cite

Abstract-Replacing fossil fuel burning synchronous generation with asynchronous renewable generation to deliver environmental goals will significantly reduce system inertia. Reduced inertia allows a faster and larger frequency deviation after a disturbance and the reduction in inertia in GB will be significant enough in the next decade that the existing frequency control will be too slow to contain the frequency deviation after a large disturbance. Therefore, delivering fast, coordinated frequency control from new service providers, e.g. energy storage, (termed "smart frequency control") will be vital to overcoming the challenge posed by reduced/variable inertia in GB. This paper describes some of the challenges that must be overcome when delivering this form of control, in terms of controller design and the definition of a new ancillary service, alongside simulation results for a 36 zone equivalent model of the GB frequency response that illustrate these challenges and the threats posed by reduced inertia.

Section: Frequency Control and Inertiamentioning

confidence: 99%

Smart frequency control for the future GB power system

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

Shams

Terzija

et al. 2016

Self Cite

“…The displacement of traditional synchronous generation with asynchronous generation is reducing system inertia and allowing larger, faster frequency deviations to occur [44,45].…”

Section: Intelligent Under Frequency Load Sheddingmentioning

confidence: 99%

Improving the performance of power system protection using wide area monitoring systems

Phadke

J. Mod. Power Syst. Clean Energy

Ding

et al. 2016

Self Cite

Wide area monitoring (WAM) offers many opportunities to improve the performance of power system protection. This paper presents some of these opportunities and the motivation for their development. This methods include monitoring the suitability of relay characteristics, supervisory control of backup protection, more adaptive and intelligent system protection and the creation of novel system integrity protection scheme. The speed of response required for primary protection means that the role WAM in enhancing protection is limited to backup and system protection. The opportunities offered by WAM for enhancing protection are attractive because of the emerging challenges faced by the modern power system protection. The increasingly variable operating conditions of power systems are making it ever more difficult to select relay characteristics that will be a suitable compromise for all loading conditions and contingencies. The maloperation of relays has contributed to the inception and evolution of 70 % of blackouts, thus the supervision of the backup protection may prove a valuable tool for preventing or limiting the scale of blackouts. The increasing interconnection and complexity of modern power systems has made them more vulnerable to wide area disturbances and this has contributed to several recent blackouts. The proper management of these wide area disturbances is beyond the scope of most of the existing protection and new, adaptive system integrity protection schemes are needed to protect power system security.

“…This can be represented by adjusting the notation of the swing equation (3) to correspond to the window definitions as follows: In [7] and [8] generator inertia was estimated by taking Active Power and ROCOF measurements from the terminal bus of a generator. This approach is also adopted here, as it offers the benefit of allowing the use of the generator inertia as a true value when assessing the error in the inertia estimate.…”

Section: Window Based Estimation Of Inertiamentioning

confidence: 99%

“…This approach is also adopted here, as it offers the benefit of allowing the use of the generator inertia as a true value when assessing the error in the inertia estimate. This paper focuses on the impact of the different performance of different PMUs on the output of this window process, so the time of disturbance estimation element of [7], which is based on the sliding implementation of the windows, is not considered here and it is assumed that the time of disturbance (t d ) is known. The time of disturbance can also be estimated by detecting a step change in the active power or ROCOF [5].…”

Section: Window Based Estimation Of Inertiamentioning

confidence: 99%

See 1 more Smart Citation

Inertia estimation using PMUs in a laboratory

IEEE PES Innovative Smart Grid Technologies, Europe

Regulski

Rusidovic

et al. 2014

This paper presents a comparison of the performance of an online inertia estimation method for three different C37.118 compliant PMUs in a laboratory. Inertia is a critical part of ensuring stable system frequency and improving operator awareness of inertia will help preserve high quality frequency control in power systems with high levels of wind generation and converter interfaced generation. This study is necessary as inertia estimation is based on active power and rate of change of frequency measurements recorded immediately after a disturbance. Therefore, the transition time and inherent difficulty of estimating derivatives may mean that not all PMUs can support inertia estimation. Indeed, the results presented show that not all PMUs are capable of supporting inertia estimation. Therefore, it must be acknowledged that the installation of a PMU at a bus does not necessarily imply that it will be possible to perform inertia estimation at that bus.