Research On Microgrid Energy Management System Based On Model Predictive Control

Continued growth in electricity demand,increasing environmental pollution and the shortage of traditional fossil fuels are driving the grid towards efficient,flexible,intelligent and sustainable development.Active distribution network technology to improve the reliability of distributed power generation system,through the distributed power supply(DG),especially renewable energy and large-scale access and application of the realization of the distributed power and load of the integrated operation is intelligent The future development trend of distribution network is an important means to realize sustainable development,efficient use of renewable energy and extensive access in distribution network.However,due to the intermittence of new energy sources,the diversity of load types,the complexity of network topology and the restraint of power market,the traditional energy management strategy is difficult to meet the actual control requirements.Therefore,in order to achieve active distribution network security,reliable,economical operation,we need to micro-grid energy management issues.Model Predictive Control(MPC)is an advanced and widely used control technology in the field of industry.Its outstanding advantage is that the model of the controlled object is not demanding and can deal with a large number of constraints.Mechanism to achieve closed-loop control,the same fit in the micro-grid system energy and coordinated control.This paper focuses on the coordination control and energy management of active network system.The main research contents are as follows:(1)To study the current situation of active distribution network at home and abroad,analyze the main problems existing in existing microgrids and the technical challenges that need to be overcome.For system-level energy management and coordinated control,we study two kinds of advanced and decentralized The basic principles of model predictive control and the advanced nature of application in active distribution network are introduced.(2)for a typical active distribution network system,taking into account the unit combination,economic scheduling,energy storage,power consumption from the grid and load reduction planning and other issues.Based on the prediction of the future behavior of the system,the predicted value of renewable energy power generation and load,the micro-grid operation is optimized to minimize the economic operating cost.For the inevitable disturbance and prediction error in the microgrid,the system is compensated by the rolling time domain method by embedding the feedback mechanism into the MPC framework.While using hybrid logic dynamic architecture to ensure the viability of energy storage and grid interaction(ie,non-immediate charge and discharge,the sale of electricity).And use a large number of constraints and variables to model power generation technology and physical characteristics,taking into account the battery life and the impact of recession.(3)energy management strategies for multi-time scale predictive control for power scheduling in active networks with multiple users.The upper layer controls the charge and discharge time and charge and discharge power of the energy storage system,controls the power generation capacity of the power generation unit and adjusts the load demand.The lower controller optimizes the flow of energy between the users to meet the real load demand.(4)Introduced the development of energy management system,from the functional structure,control structure and communication structure of the three angles of analysis,according to the micro-network energy management system needs key functions to determine the micro-network energy management system design goals and architecture,Thus designed based on PCS7 distribution network energy management system.