4.4 Review

Optimal reactive power dispatch: a review, and a new stochastic voltage stability constrained multi-objective model at the presence of uncertain wind power generation

期刊

IET GENERATION TRANSMISSION & DISTRIBUTION
卷 11, 期 4, 页码 815-829

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2016.1545

关键词

power generation dispatch; wind power plants; power system stability; reactive power; stochastic programming; fuzzy set theory; static VAr compensators; integer programming; nonlinear programming; optimal reactive power dispatch; stochastic voltage stability constrained multiobjective model; uncertain wind power generation; standard ORPD problem classification; stochastic multiobjective ORPD problem; two-stage stochastic optimisation framework; real power losses; PLs; operation & maintenance cost; O& M cost; wind farms; voltage stability enhancement index; binding constraint; epsilon-constraint technique; fuzzy satisfying approach; voltage stability relaxed SMO-ORPD; voltage stability constrained SMO-ORPD; VSC SMO-ORPD; reactive power compensation devices; discrete control variables; mixed-integer nonlinear programming optimisation problem; general algebraic modelling system environment; IEEE bus test systems

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In this paper, a comprehensive review of recent researches carried out in the area of optimal reactive power dispatch (ORPD) is presented. The literature review consists of a classification of ORPD problem, along with a survey on the strengths and weaknesses of different models proposed previously. Also, a stochastic multi-objective ORPD (SMO-ORPD) model is studied under load and wind power generation uncertainties. A two-stage stochastic model is employed for dealing with the uncertainties. The considered objective functions are real power losses (PLs) and operation & maintenance (O&M) cost of wind farms (WFs). The proposed SMO-ORPD problem is solved by considering voltage stability index (i.e. Lmax index). Besides, -constraint technique and fuzzy satisfying approach are employed to pick up the best compromise solution. Two cases are considered as follows: (i) voltage stability relaxed SMO-ORPD, and (ii) voltage stability constrained (VSC) SMO-ORPD. In this study, reactive power compensation devices are modelled as discrete control variables. Hence, the proposed SMO-ORPD problem is modelled as a mixed-integer non-linear programming optimisation problem. The SMO-ORPD problem is implemented in GAMS environment, and it is examined on the IEEE 30 and 118-bus test systems. The numerical results substantiate that in the case of VSC-SMO-ORPD, active PLs are higher than the other case, whereas O&M cost of WFs is not different considerably.

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