AC/DC hybrid microgrid optimization method

Abstract

The invention discloses an AC/DC hybrid microgrid optimization method, which comprises the following steps: according to historical data of photovoltaic power generation and load power consumption in a preset historical period, obtaining photovoltaic power generation prediction data and load power consumption prediction data of a day to be predicted through a least square support vector machine; according to the photovoltaic power generation prediction data and the load power consumption prediction data,optimizing and balancing the photovoltaic utilization rate and the comprehensive cost of the AC/DC hybrid microgrid through a comprehensive economic optimization model and a comprehensive cost model of the AC/DC hybrid microgrid, and allowing a multi-objective function to be solved and normalized into a single-objective function; and solving the single objective function by adopting a particle swarm algorithm to obtain photovoltaic, energy storage, power flow controller, power electronic transformer, microgrid and large power grid exchange power dispatching values of the day to be predicted. According to the scheme, the purposes of self-generation and self-use and residual internet access are effectively achieved, the life cycle of the alternating-current and direct-current hybrid micro-grid is prolonged, the cost of purchasing electricity from a large power grid by the micro-grid is reduced, and comprehensive benefit maximization is achieved.

Description

technical field [0001] The invention relates to the technical field of power network control, in particular to an optimization method for an AC-DC hybrid micro-grid. Background technique [0002] The microgrid is an independently controllable system composed of various distributed power sources, energy storage systems, and loads. The conversion of electric energy is completed by power electronic equipment, and it can be flexibly operated under grid-connected and off-grid conditions. There is great potential in filling valleys, improving power supply reliability, and demand-side response. According to the bus voltage level and form, it is divided into three types: AC microgrid, DC microgrid, and AC / DC hybrid microgrid; and with distributed power sources such as photovoltaics, wind power, electric vehicle charging piles, micro gas turbines, and energy storage, AC and DC load types With the increasing number of AC microgrids and DC microgrids, a single AC microgrid or DC micro...

AI Technical Summary

Problems solved by technology

The literature "Analysis of Economic Operation of Micro-grid Containing Multiple Energy Supply Systems Based on Particle Swarm Optimization Algorithm" established the micro-grid economic operation model considering the lowest greenhouse gas and comprehensive discharge of pollutants. However, there are few constraints on the safe operation of various distributed energy models, and they are far from practical engineering applications; the document "Dynamic Economic Scheduling of Microgrid Systems" uses dynamic economic optimization as the microgrid dispatching model. Monte Carlo simulation is used to improve the genetic algorithm, but the model does not cover distributed power sources of energy storage, so it will have an adverse effect on the safe power supply of the entire system

[0004] To sum up, all of them are optimized operation researches based on the topology of traditional AC microgrids. At present, there are few literatures dedicated to AC / DC hybrid microgrids; The balance between rate and network loss

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