Cu�
ng vo i su # ta ng tru o ng cu a ca c nguo �
n na ng lu o #ng ta i ta#o (Renewable Energy Sources - RES), mo hi�
nh nha�
ma y ie# n a o (Virtual Power Plant - VPP) u o #c pha t trie n nha �
m ke t no i, qua n ly va�
ie �
u khie n ca c nguo �
n ie# n nho , ca c ta i ie �
u khie n u o #c hay ca c he# tho ng lu u tru na ng lu o #ng, tu �
o tham gia va�
o he# tho ng ie# n nhu mo# t nha�
ma y ie# n duy nha t. Mo hi�
nh na�
y ha#n che u o #c nhu ng nhu o #c ie m cu a ca c nguo �
n ie# n ta i ta#o, o �
ng tho �
i giu p ca c nguo �
n ie# n na�
y co the tham gia thi# tru o �
ng co ng sua t ca n ba �
ng - li nh vu #c vo n chi thuo# c ve �
ca c nha�
ma y ie# n truye �
n tho ng. Trong nghie n cu u na�
y, nho m ta c gia a xa y du #ng mo# t mo hi�
nh to i u u ho a hai ba# c e xa c i#nh u o #c co ng sua t du # pho�
ng to i u u ma�
VPP co the cung ca p cho he# tho ng, o �
ng tho �
i ti nh toa n ca c ki#ch ba n giao di#ch trong thi# tru o �
ng ie# n nga�
y to i (DA) va�
trong nga�
y (ID) tu o ng u ng vo i ca c ki#ch ba n huy o# ng du # pho�
ng nha �
m to i a ho a to ng lo #i nhua# n cu a VPP., To m ta t tie ng anh, Due to the growth of renewable energy resources (RES), the Virtual Power Plant model (VPP) not only has been developed to connect, manage and control small-scale resources, controllable demand, and energy storage systems, and then but also participates in the power system as a single plant. This model limits the disadvantages of RESs and allows them to participate in the balancing capacity market - the field of operation that is only available to traditional power plants. In this study, the authors have built a two-stage optimization model to determine the VPP's optimal reserve capacity. Besides, this model calculates the possible operating scenarios of VPP in the day-ahead (DA) and intraday (ID) markets corresponding to the reserve activation scenarios with the aim of maximizing the total profit of VPP.