Numerical Simulation And Comparative Study Of Domestic Typical Frequency Regulation Ancillary Service Market

At present,with the rapid expansion of the installed scale of renewable energy and the strong domestic demand for it,the marketization process of China’s power grid auxiliary services is gradually stepping into a critical period.While ensuring the safe and stable operation of the power grid,the market trading mechanism of auxiliary services can effectively enhance the overall benefit of society.In order to promote the development of auxiliary service market,experts and scholars at home and abroad have carried out in-depth researches to stimulate market trading subjects to improve the supply quality of auxiliary services and reduce the cost of electricity purchase for the society,so as to promote the construction of auxiliary service market around the world.This paper discusses the trading mechanism of the FM auxiliary service market and conducts an in-depth analysis of its relevant rules.When building the auxiliary service market,it must be combined with the actual situation of market operation and supporting policy rules to explore and adjust it,so this paper takes Gansu(Northwest),Sichuan(Central China),Jiangsu(East China),Guangdong(South).Mengxi and Shandong(North China),a total of six typical FM On the basis of this,each FM market is modeled and simulated by MATLAB software,and the simulation results of each province are compared to verify and evaluate the relevant market mechanism,so as to provide useful reference for the establishment of a unified electricity market in China.Firstly,this paper gives a brief introduction to the construction of auxiliary service markets in mature countries and regions as well as China itself;secondly,it compares and analyzes the research status of the FM market;secondly,it takes Mengxi,Shandong,Gansu,Sichuan,Jiangsu and Guangdong as examples,and makes a horizontal comparison and analysis of the declaration requirements,dispatching methods,settlement rules and clearing methods of the above six markets,and also constructs the AGC unit In addition,based on the physical characteristics of the FM market,it is regarded as a complex adaptive system,and based on this,a multi-intelligence modeling is selected as the model basis to build a bidding and trading model for the above six markets.Finally,considering the supply and demand scenarios,performance indicators,power supply types and rated capacity,10 AGC units are proposed to participate in 6 FM markets at the same time,with 4 supply and demand scenarios in each market,and the impact of different market mechanisms on the market members and the market as a whole is analyzed by comparing and analyzing the changes of units’ declaration behavior and the trend of market price under different market mechanisms.It is found that the units under the MCP(Market Clearing Price)mechanism tend to adopt a more flexible offer than under the PAB(Pay As Bid)mechanism and are more competitive in the market;the average clearing price under the PAB mechanism is higher than the uniform clearing price under the MCP mechanism when the market reaches equilibrium;in terms of the clearing ranking method,the MCP mechanism uses the "pay as bid" method.Under the MCP mechanism,the "low-to-high order by offer/K" is lower than the uniform clearing price in the "low-to-high" market;the Mengxi,Sichuan and Guangdong markets,where compensation is more generous,have the ability to screen the performance of units,which can also make the declared capacity of units meet the market demand.The declared capacity of the units can meet the market demand.