Abstract
To address the static voltage stability issue and suppress the voltage fluctuation caused by the increasing integration of wind farms and solar photovoltaic (PV) power plants, a two-tier reactive power and voltage control strategy based on ARMA power forecasting models for wind and solar plants is proposed in this paper. Firstly, ARMA models are established to forecast the output of wind farms and solar PV plants. Secondly, the discrete equipment is pre-regulated based on the single-step prediction information from ARMA forecasting models according to the optimization result. Thirdly, a multi-objective optimization model is presented and solved by particle swarm optimization (PSO) according to the measured data and the proposed static voltage stability index. Finally, the IEEE14 bus system including a wind farm and solar PV plant is utilized to test the effectiveness of the proposed strategy. The results show that the proposed strategy can suppress voltage fluctuation and improve the static voltage stability under the condition of high penetration of renewables including wind and solar power.
Highlights
In recent years, with the rapid development of renewable generations, the scale of the integration of wind power and solar power stations increase rapidly [1,2]
The reactive power output of shunt capacitors, wind farm, photovoltaic station, and the dynamic reactive power compensation devices are optimized through the particle swarm optimization (PSO) algorithm, and coordinated by two-tier strategies
The control strategy of the second tier is to regulate the reactive power output of the static VAR compensator (SVC), wind farm, and PV power plant based on the real-time measurement
Summary
With the rapid development of renewable generations, the scale of the integration of wind power and solar power stations increase rapidly [1,2]. Due to the errors between the actual output and the forecasted output of the wind farm and the solar power station, and the limitation on the control flexibility of shunt capacitors, the predefined objective for period t (voltages at selected central points for the control period, for example, 15 min) designed at period (t − 1). At the target control period (period t), the static voltage compensators, and the reactive output of wind farm and solar stations are regulated to mitigate the voltage variation of central points between period t and the predefined objective given at period (t − 1) by the first-tier strategy to improve the stability margin and the dynamic reactive power margin. The reactive power output of shunt capacitors, wind farm, photovoltaic station, and the dynamic reactive power compensation devices are optimized through the particle swarm optimization (PSO) algorithm, and coordinated by two-tier strategies
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