Open AccessStudy on Economic Operation and Optimal Dispatching of VPP
Author(s) -
Xinxin Song,
Shunsheng Gui,
Chunhong Shan,
Shitao Wang,
Lulu Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/634/1/012086
Subject(s) - virtual power plant , wind power , thermal power station , grid , power (physics) , computer science , base load power plant , engineering , automotive engineering , mathematical optimization , renewable energy , distributed generation , electrical engineering , mathematics , physics , geometry , quantum mechanics
Large scale grid-connected wind power will have a great impact on the power grid. In order to ensure the safetyof power grid operation, it is necessary to quickly adjust the load of thermal power plants to stabilize the fluctuation ofwind power output. The economy of thermal power unit is poor in low load operation, and the safety and service life of theunit will be reduced when the load is adjusted frequently. In order to solve the problems, wind and thermal powercomplementarity is proposed, and the wind farm and thermal power plant constitute a virtual power plant (VPP) toparticipate in the grid dispatching. A multi-objective optimal dispatching model of VPP considering economy and rapidity isestablished, which is solved by improving genetic algorithm. The results show that the multi-objective optimal dispatchingmodel can make the economy of VPP the best on the premise of meeting the requirements of grid dispatching time throughthe simulation of differentscenarios. Furthermore, the strategy of selecting the weight coefficient of multi-objectiveoptimization model is given, and the wind power consumption capacity of VPP is analysed.