考虑V2G背景下微电网的一致性能量管理策略

Consistency-based energy management strategy for microgrids with V2G

电动汽车具有移动储能器的特性,对其充放电行为进行合理调度可以对电网负荷起到削峰填谷作用,并提高电网对风光能源的吸纳能力,为此本文研究了含有电动汽车与电网交互(vehicle-to-grid,V2G)的孤岛微电网分布式能量管理策略.首先通过充放电电价诱导机制,提出一种包含电动汽车聚合商的多智能体微电网效益模型,进而考虑实际能源系统在发电损耗及功率平衡约束下的社会效益最大化问题.其次利用微电网内分布式能源之间信息交互,设计基于多智能体一致性理论的优化求解算法,并进一步考虑系统中存在通信随机时延的情况,最终实现社会效益最大化且系统电价达到一致,并对此研究背景下算法的收敛性进行分析,给出了收敛条件.最后采用标准IEEE-11总线结构对系统进行仿真验证,证明了所提控制策略的有效性.

Electric vehicles have the characteristics of mobile energy storage.Properly dispatching the charging and discharging of electric vehicles can regulate the peaks and valleys of power grid consumption.This can also increase the power grid’s ability to absorb wind and solar energy.This paper studies the distributed energy management strategy of microgrids with V2G.First,this paper uses the principle of electricity price induction to establish a multi-agent microgrid profit model that includes electric vehicle aggregators.This study considers the optimization problem that the actual energy system can maximize the social benefits under the constraints of power generation loss and power balance.Then the paper uses the information interaction between distributed energy sources in the microgrid to design an optimized solution algorithm based on the multi-agent consensus theory and further considers the scenario that there is a random communication delay in the system.The system has maximized social benefits while maintaining the same system electricity price.This paper analyzes the convergence of the algorithm under the background of this research,and gives the convergence conditions and influencing factors.Finally,an 11-node microgrid is used to simulate and verify the system,and the results show that the proposed control strategy is effective.