Scheduling of Droop Coefficients to Improve Economy and Stability of Autonomous Microgrid with Volatile Wind Power Generation

Yunliang Wu, Bingke Yan, Yuanzhang Sun, and Jian Xu


Economic dispatch, microgrid, stability, volatility, wind power generation


At the planning of autonomous microgrid including a variety of dispatchable distributed energy resources (DDERs) and wind turbine generator (WTG), the droop coefficients of DDERs should be properly scheduled to yield both the economic dispatch among multiple DDERs in steady state and the satisfactory dynamic behavior of microgrid in transient. Therefore, a method to design the optimal droop coefficients of DDERs considering the volatility of wind power generation is proposed in this paper. First, the wind power uncertainties are modeled by a limited number of scenarios with high probabilities. Then, a multi-objective optimization model of droop coefficients compromising between the operational cost and the integral of time-weighted absolute error (ITAE) index which indicates the dynamic behavior of the microgrid with the variation of wind power generation and load is developed. Finally, the optimization is done using differential evolution (DE) algorithm. The simulation results show that the economy and stability of the microgrid can be improved significantly using the proposed method.

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