Stochastic Optimization Dispatch of Micro-grid Based on the Chance Constraint Theory
Zhang Zhen, Zhang Ying, Li Anjun, Xiong Luocheng
Hu’nan Province Key Laboratory of Smart Grids Operation and Control, School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004
Abstract：In recent years, the distributed renewable resources such as wind power, solar power have been permeated in the micro-grid. To seek the random economic optimization scheduling of micro-grid, a stochastic economic optimization model of micro-grid based on the theory of chance constraint is established in this paper, this model is based on the condition of meeting the conditions of the system power balance constraints and operating constraints. And the randomness and compliment arily of wind, solar and uncertainty of storage battery are considered in this model. The model's objective function is the minimum electricity total cost of micro-grid and the sample average approximation (SAA) method is used to convert the opportunity constraints into deterministic conditions particle swarm optimization to obtain the optimal solution. At the same time, the impact of confidence level and sampling frequency on the dispatch is studied .Then, the stochastic optimization model and the deterministic model are compared, the comparison result proves stochastic optimization model outperforms the latter. The computation results show the effectiveness and feasibility of the stochastic optimization model.
2013, Vol. 14 
