Publicação: Reactive power planning under conditional-value-at-risk assessment using chance-constrained optimisation
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Inst Engineering Technology-iet
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Resumo
This study presents a risk-assessment approach to the reactive power planning problem. Chance-constrained programming is used to model the random equivalent availability of existing reactive power sources for a given confidence level. Load shedding because of random equivalent availability of those reactive power sources is implemented through conditional-value-at-risk. Tap settings of under-load tap-changing transformers are considered as integer variables. Active and reactive demands are considered as probability distribution functions. The proposed mathematical formulation is a two-stage stochastic, multi-period mixed-integer convex model. The tradeoff between risk mitigation and investment cost minimisation is analysed. The proposed methodology is applied to the CIGRE-32 electric power system, using the optimisation solver CPLEX in AMPL.
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Risk management, Load shedding, Power transformers, Minimisation, Investment, Reactive power planning, Conditional-value-at-risk assessment, Chance-constrained optimisation, Chance-constrained programming, Random equivalent availability, Reactive power sources, Confidence level, Under-load tap-changing transformers, Integer variables, Reactive demands, Probability distribution functions, Mathematical formulation, Two-stage stochastic model, Multiperiod mixed-integer convex model, Risk mitigation, Investment cost minimisation, CIGRE-32 electric power system, Optimisation solver CPLEX, AMPL
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Inglês
Como citar
Iet Generation Transmission &distribution. Hertford: Inst Engineering Technology-iet, v. 9, n. 3, p. 231-240, 2015.
