201
Views
5
CrossRef citations to date
0
Altmetric
Articles

Design of Multi-Machine Power System Stabilizers with Forecast Uncertainties in Load/Generation

, &
 

ABSTRACT

Oscillatory instability in modern power system has increased due to increasing complexity and integration of dynamic loads. Stability analysis of such interconnected power system is very prominent in the presence of uncertain load/generation. In this paper, a power system stabilizer (PSS) design approach, which aims at enhancing the oscillatory stability of the multi-machine power system over the specified uncertainty range in forecasted load/generation, is presented. With non-statistical uncertainty, problem of selecting design parameters of the PSS is formulated as an optimization problem with minimization of eigenvalues and damping ratios based multi-objective function. In order to account the non-statistical uncertainties, a boundary active power loss (BAPL) based objective function is proposed. This non-linear BAPL objective function is minimized for determining the optimal setting of the generators voltage and taps of the online tap changing transformers (OLTC) under various power system constraints. In this paper, both the objective functions are solved by a new metaheuristic technique known as gray wolf optimization (GWO). Boundary value-based approach is used to minimize the repeated load flows under uncertain load/generation scenarios. Improved small-signal stability (SSS) is achieved with optimal active power loss of uncertain power system. Eigenvalue and time domain analysis for New England system are carried out under wide range of disturbances to demonstrate the potential of the proposed approach.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Ram Krishan

Ram Krishan received his BTech degree in electrical & electronics engineering from U.P. Technical University Lucknow, India in 2010 and the MTech degree in power system from National Institute of Technology (NIT) Hamirpur, H.P., India in 2013. He is now pursuing a PhD degree in power system stability at Indian Institute of Technology Delhi, India. His research interest includes renewable energy sources and power system dynamics.

E-mail: [email protected]

Ashu Verma

Ashu Verma is an assistant professor in the Centre for Energy Studies, IIT Delhi, India. She received her MTech and PhD both from Department of Electrical Engineering, IIT Delhi. She has more than 10 years of teaching experience and several research papers in her field.

Her present research interest are power system planning, operation and control aspects of integrated renewable energy systems, policy and regulatory framework for enabling large-scale integration of renewable energy sources in India.

E-mail: [email protected]

Sukumar Mishra

Sukumar Mishra is a professor in the Department of Electrical Engineering at the Indian Institute of Technology Delhi. His interest lies in the field of power systems, power quality studies, and renewable energy. He has published over 100 research articles (including papers in international journals, conferences and book chapters). He is currently holding the position of Vice Chair of Intelligent System Subcommittee of Power and Energy society of IEEE. He is a recipient of the INSA medal for young scientist, the INAE young engineer award, and the INAE silver jubilee young engineer award. He is also a Fellow of IET (UK), NASI (India), INAE (India), IE (India) and IETE (India). He is actively involved in academic and industrial collaboration for research and development.

He is working as the NTPC Chair professor and has previously worked as the Power Grid Chair professor. He is also serving as an Independent Director of the Cross-Border Power Transmission Company Ltd. and Industry Academic Distinguish Professor. He has handled many research projects and industrial consultancies. He has a vast experience of 25 years and is currently serving as an Editor in IEEE transactions on smart grid and associate editor in IET Generation, Transmission & Distribution.

E-mail: [email protected]

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.