基于机会约束理论的微电网随机优化调度

Stochastic Optimization Dispatch of Micro-grid Based on the Chance Constraint Theory

随着风能、太阳能等可再生能源的开发利用,基于分布式电源的微电网安全经济调度日益引起人们关注。本文考虑了风能和太阳能的随机性和互补性,以及储能蓄电池中能量的不确定性,提出在满足系统功率平衡约束和运行约束的条件下,建立基于机会约束理论的微电网随机经济优化模型。该模型以微电网用电总费用最小为目标函数,利用抽样平均近似(SAA)法将机会约束条件转化为确定性条件,并采用粒子群算法进行寻优求解。最后,通过对随机优化模型和确定性模型进行了对比,并研究了置信度水平和抽样次数对调度的影响,算例结果表明了该随机优化模型的合理性和有效性。

Due to the development of renewable energy,the safety economic dispatch of micro-grid based on distributed source has caused for concern.In this paper,considering the randomness and complimentarily of wind,solar and uncertainty of storage battery,a stochastic economic optimization model of micro-grid based on the theory of chance constraint is established,which is under the condition of meeting the conditions of the system power balance constraints and operating constraints.The model's objective function is the minimum electricity total cost of micro-grid and using the sample average approximation(SAA) method convert the opportunity constraints into deterministic conditions particle swarm optimization is selected to obtain the optimal solution.Then,the stochastic optimization model and the deterministic model are compared,and the impact of confidence level and sampling frequency on the dispatch is studied.The computation results show the effectiveness and feasibility of the stochastic optimization model.