Research On Consensus-Based Multi-Objective Dispatching Method For Intelligent Building Microgrids

As a fundamental part of the smart city,intelligent buildings have attracted much attention ever since it was proposed.With the rapid development of intelligent buildings,its power dispatching is no longer limited to the requirement of minimum economic cost,but also to the requirements of combined pollution gas emission and power utilization benefit.Meanwhile,with the development of information technology and the improvement of economic level,users in intelligent buildings are gradually aware of the seriousness of privacy leakage.However,in the stage of continuous improvement of intelligent buildings,the traditional power grid can’t flexibly respond to the new challenges of power dispatching.As effective support and expansion of the traditional power grid,the microgrid can make up for these defects in power dispatching of intelligent buildings.Aiming at the power dispatching of intelligent building microgrid,this paper mainly considers the multi-objective fast dispatching method with consideration on the privacy protection on the existing single objective dispatching.It is committed to forming a cost-economical,environment-friendly,and privacy-protective multi-objective dispatching mechanism.First,in view of the fact that the existing economic dispatching methods ignore generally the polluting gas emitted from fuel generators and the participation of flexible loads,a multi-objective optimal dispatching model is established.It integrates the cost of generator generation,the power consumption benefit of flexible load,and environmental protection.Then,the optimal solution of the model is obtained.Second,considering that the convergence speed of the algorithm is related to the convergence and efficiency of the system,a multi-agent consensus theory with feedback gain is introduced for the existing leader-follower consensus algorithm.It is proved theoretically that the feedback gain algorithm can improve the convergence speed of the existing leader-follower consensus algorithm.And the fast leader-follower consensus algorithm is applied to the multi-objective dispatching problem.Third,considering that during the leader-follower consensus-based multi-objective dispatching process,the information interaction with neighboring nodes will cause the privacy leakage of users’ electricity consumption.In particular,the behavior of the leader node to obtain global information will greatly increase the possibility of privacy leakage.A comprehensive noise-adding method for nodes’ consensus variables and power is proposed.It is demonstrated theoretically that the comprehensive noise-adding method can ensure the convergence and optimality of the multi-objective dispatching algorithm while realizing privacy protection.Finally,under the background of intelligent buildings,the independent IEEE14 microgrid multi-objective dispatching environment is designed to verify the effectiveness of the proposed methods.For the consensus algorithm with feedback gain,simulation results show that the proposed method realizes the convergence and convergence optimality of microgrid multi-objective dispatching.With the same parameters setting,the convergence speed of the proposed algorithm is 2.2 times faster than that of the traditional consensus algorithm.Also,it can quickly respond to the "plug and play" of flexible load in real-time.For the dispatching algorithm to protect power consumption privacy,simulation results show that the proposed comprehensive noise-adding method not only protects the privacy of the initial value,but also protects the privacy of the process value and the final convergence value.Therefore,the possibility of privacy leakage caused by the behavior of the leader node is avoided.Hence,the multi-objective dispatching of the microgrid,and the protection of users’ power privacy are realized simultaneously.