可再生能源微网鲁棒多目标优化调度

摘要

针对微网运行中存在的多目标需求和参数不确定性问题,提出微网鲁棒多目标优化调度方法,以实现调度方案在多目标优化框架下对不确定性扰动的抑制.为降低鲁棒模型的保守性,引入鲁棒测度表征微网中不确定性因素的特性,并构建微网鲁棒经济与环境优化调度模型.结合鲁棒模型变换思想将该模型转换为鲁棒优化的对应形式,通过对偶原理进一步转换为一个确定性的多目标优化问题,然后采用多目标进化算法求解系统模型.仿真结果表明,所获得的帕累托前沿能够消除微网内不确定性干扰并满足其经济与环境目标需求,从而验证了所提模型和方法的可行性和有效性.%In view of the problem that multi-objective demand and parameter uncertainties in micro-grids operation, a robust multi-objective optimization scheduling method is proposed to derive scheduling schemes that attenuate the disturbance of uncertainties under the multi-objective framework.Also, a robust economic environmental optimization scheduling model is formulated , whose robustness measure is introduced to capture the characteristic of uncertainties so as to alleviate conservatism in the derived model.Here, the robust transformation theory is employed to transform this model into its robust counterpart.Based on duality principle, the changed model is recast as a deterministic multi-objective optimization problem, which is efficiently solved by the multi-objective evolutionary algorithm.Simulation results demonstrate that the Pareto front achieved in this model can attenuate the disturbance of uncertainties and satisfy both requirements of economics and environment.As a result, the validity and feasibility of the proposed optimization model and method are clarified.