Abstract
This paper proposed a study on the power dispatching optimization in the microgrid aiming at Chinese national condition based on PSO algorithm. The whole work is on the basis of the weighted factor variation of the objective function due to different weather conditions. Three cases including the good contamination-diffusing weather condition, the smog weather condition, and the normal condition are considered, respectively. In the case of smog weather, the new energy generation and the battery system will be all out to use as less power as possible from the primary grid so that the pollution produced by coal consumption in the thermal power plants can be upmost reduced. However, in the case of perfect contamination-diffusing weather, the battery is not used to reserve its lifetime, while a large amount of exchanged power from the primary grid is used to obtain a most economic-efficient effect. In normal condition, the power dispatching is performed in a most balanced way considering not only the cost but also the environmental management. The case study in Suzhou Industrial Part confirms the effectiveness of the proposed method in this paper.
Highlights
As the rapid economic development, the electric power requirement is increasing
This paper investigates the power dispatching optimization in microgrids aiming at Chinese national conditions based on Particle Swarm Optimization (PSO) algorithm
In smog weather condition, the power output of the photovoltaic generation will have less fluctuation due to the environmental management request, though constrained by the sunshine intensity the power output is less than case 1
Summary
As the rapid economic development, the electric power requirement is increasing. the primary energy source has become a serious problem as well as the environmental pollution [1, 2]. It is significant to develop the sustainable energy based power generation technologies such as wind generation and photovoltaic (PV) generation [3]. As the wind generation and the photovoltaic generation are connected to the power grid with a larger and larger capacity, the voltage and frequency stability of the grid has become a serious problem. To solve this problem, the active distribution network (ADN) [4] and the optimal allocation of dispersed energy storage systems in AND [5] are employed. The construction of smart grid which contains the microgrids and the distributed network is being carried out powerfully all over the world [8, 9], and the demand response management [10], the maximum power point tracking of the photovoltaic systems for fast changing environmental conditions [11], the power loss [12], and especially the scientific power dispatch [13] inside the microgrids have been great challenges
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