Font Size: a A A

Interestsevolution In Grid Connection Of Distributed PV Generation

Posted on:2018-06-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q BaoFull Text:PDF
GTID:2359330536488181Subject:Engineering
Abstract/Summary:PDF Full Text Request
In recent years,the solar distributed photovoltaic(DPV)power generation in China has developed rapidly,but there are problems in grid.The policy is biased and the agents' interests are great affected by the policy.Each agent is aimed for self-interest maximization:government policies seriously bias the user side,it is in the exploratory stage,and is a serious impediment to distributed photovoltaic power generation which seriously hindered the development of DPVgridconnection.The government's current policy and the possible future policy tendencies will how to affect the users' installation will,installed capacity and revenue impact,we need to conduct a detailed study and discussion.In this paper,the method of multi-agent simulation is used to study the evolution of the DPV power generation.This paper will takethe DPV power generation project in Nantong Economic and Technological Development zone(NDPV Project)as the case andpropose the multi-agent simulation model of China's DPV grid-connected interest evolution.Model takes three types of agents into account: government agent,grid corporation agent,user agent,and it gives each agents' decision attribute.It further defines the behavior strategies of users,Grid Corp and government;it also uses NetLogo platform to construct the multi-agent simulation model of the DPV grid-connected interest evolution.Through the simulation,we get the grid corporation and users' profit evolution resultsunder the different policy situation.Through the detailed analysis of the evolution results,explore the impact of government policy attributes on the agents' interests in the process of grid connection and put forward some policy suggestions for the DPV power generation in China.
Keywords/Search Tags:distributed PV power generation, grid connection, policy, interest evolution, multi-agent simulation
PDF Full Text Request
Related items