智能电网连续型社会福利最大化实时定价方法

Continuous Social Welfare Maximization Real-time Pricing Method in Smart Grid

实时定价是智能电网需求侧管理最有效的方法之一。针对目前智能电网实时定价模型没有体现发电和用电的连续性对实时定价影响的特点,提出了将发电和用电的时间连续性融入到智能电网实时定价中,建立连续的社会福利最大化模型;将数值优化问题转变为泛函极值优化问题,推导出了实时电价与发电功率、用电功率之间的关系,并设计了对应的求解算法。最后通过将仿真实验与离散的定价模型进行比较分析,验证了所提连续定价模型的合理性与有效性。

Real-time pricing is one of the most effective methods of demand-side management in smart grid.However,the current real time pricing model for smart grid can’t reflect the impact of time continuity of power generation and consumption on real-time pricing.It is suggested to integrate the time continuity of power generation and electricity consumption into the real-time pricing for smart grid and establish a continuous social welfare maximization model.The numerical optimization problem is transformed into a functional extreme optimization problem.The relationship among real-time electricity price,generation power and power consumption is derived,and the corresponding solution algorithm is designed.Finally,the rationality and effectiveness of the continuous pricing model are proved by the comparison between the simulation experiment and discrete pricing model.