- Title
- Multi-objective dynamic VAR planning against short-term voltage instability using a decomposition-based evolutionary algorithm
- Creator
- Xu, Yan; Dong, Zhao Yang; Meng, Ke; Yao, Wei Feng; Zhang, Rui; Wong, Kit Po
- Relation
- IEEE Transactions on Power Systems Vol. 29, Issue 6, p. 2813-2822
- Publisher Link
- http://dx.doi.org/10.1109/TPWRS.2014.2310733
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- journal article
- Date
- 2014
- Description
- Short-term voltage stability is an increasing concern in today's power systems due to the growing penetration of induction motors. This paper proposes a systematic method for optimal placement of dynamic VAR support against short-term voltage instability. The problem is formulated as a multi-objective optimization model minimizing two conflicting objectives: 1) the total investment cost and 2) the expected unacceptable short-term voltage performance subject to a set of probable contingencies. STATCOM is employed for its stronger dynamic VAR support capability. Indices for quantifying the short-term voltage stability and the related risk level are proposed for problem modeling. Candidate buses are selected based on the concept of trajectory sensitivity. Load dynamics are fully considered using a composite load model containing induction motor and other typical components. A relatively new and superior multi-objective evolutionary algorithm called MOEA/D is introduced and employed to find the Pareto optimal solutions of the model. The proposed method is verified on the New England 39-bus system using industry-grade models and simulation tool.
- Subject
- dynamic VAR support; multi-objective optimization; Pareto optimality; reactive power planning; short-term voltage stability; STATCOM
- Identifier
- http://hdl.handle.net/1959.13/1299212
- Identifier
- uon:19809
- Identifier
- ISSN:0885-8950
- Language
- eng
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