Real-time optimal power flow with reactive power dispatch of wind stations using a reconciliation algorithm

Erfan Mohagheghi, Aouss Gabash, Mansour Alramlawi and Pu Li

Renewable Energy, 2018, vol. 126, issue C, 509-523

Abstract: Abstract—It is extremely difficult to realize real-time active-reactive optimal power flow (RT-AR-OPF) in distribution networks (DNs) with wind stations (WSs) due to the conflict between the fast changes in wind power and the slow response from the optimization computation. To address this problem, a new lookup-table-based RT-AR-OPF framework is developed in this paper. According to the forecasted wind power for a prediction horizon, scenarios are generated based on its stochastic distribution. The corresponding mixed-integer nonlinear programming (MINLP) problems are solved online which simultaneously optimize the active and reactive power dispatch of WSs, active-reactive reverse power flow, and discrete slack bus voltage, resulting in a lookup table. Based on the actual wind power available in a sampling time, one of the solutions will be selected and realized to the DN. A new reconciliation algorithm is proposed to ensure both the feasibility and optimality of the realized operation strategy. The applicability of the proposed framework is shown using a medium-voltage DN.

Keywords: Active-reactive reverse power flow; Mixed-integer nonlinear programming (MINLP); Real-time active-reactive optimal power flow (RT-AR-OPF); Wind power curtailment (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:126:y:2018:i:c:p:509-523

DOI: 10.1016/j.renene.2018.03.072

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