Research On Power Coordination Control Of Microgrids Based On Neural-like P System

With the aggravated of global energy crisis and environmental pollution,the research on microgrids has been widely concerned.Microgrids are complex systems that consisted of various distributed generation units,energy storage devices and loads,where the power of micro-sources and loads are generally random.During the operation,the control strategy of microgrids is flexible and the units in microgrids have different behavior characteristics and various operation modes.That makes the traditional centralized scheduling in power system difficult to meet the fast,accurate and flexible control requirements.The membrane computing,abstracted from the structure and function of living cells,has the ability of distributed parallel computation and modeling.The neurons in neural-like P system own different states that are suitable for dealing the system with multiple objects and variable control states.Therefore,in this paper,the neural-like P system is used to study in the power coordination control of microgrids,and the specific work is as follows:Firstly,the neural-like P system with state value(in short,SVNPS)is defined.By comparing the object in the neuron with the thresholds,state values are gained and determine the conversation of system in different patterns.Then,aiming at the characteristics of SVNPS,it is applied to the control of the power coordination of the microgrids.Considering the characteristics of photovoltaic/battery microgrids,an operation control strategy based on bus voltages of the point of common coupling and state of charge of batteries is proposed.After that,the working modes of PV,battery and load units are established by using SVNPS system,while each unit of microgrids can adjust the operation modes automatically.Then,the specific output power of units are reasonably coordinated to ensure the stable operation in the grid-connected mode.Finally,a photovoltaic/battery microgrid is used as an example to verify the operation control strategy.Experimental results show the effectiveness of the proposed control strategy and the feasibility of neural-like P systems with state values in fulfilling microgrids power coordination.Owing to the characteristics of mobile energy storage and random dispersion of electric vehicle,it can be combined with wind photovoltaic and energy storage power generation units to improve the economic and reliable operation of the system.This paper studies wind photovoltaic energy storage and electric vehicle integration microgrids,under the premise of system safety and stability,the needs of electric vehicles users and the utilization of new energy are maximized as much as possible.The system operation control strategies are respectively considered in the autonomous charging and the coordinated charging/discharging of EVs.After that,the wind power generation and electric vehicle units are modeled by SVNPS system to adjust the operation modes automatically.Finally,the effects of the autonomous charging and the coordinated charging/discharging of EVs are compared on the safety and stability of microgrids through the simulation experiments.