H Rahbarimagham - Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran
M. J. Sanjari - Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran
A Tavakoli - Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran
G.B Gharehpetian - Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran

Air pollution and increasing cost of conventional fuel leads to use renewable energy more and more. Renewable energy which is known as green power has no pollution anddoes not use any fuel. DGs are setup near customer to reduce the cost of transmission. Generated power of renewableresources such as photovoltaic, wind power and etc. are highlyaffected by weather condition, so if renewable resources are use in power grid because of aforementioned problem voltageof nodes of the grid may influence by change in generated power of DGs. Therefore conventional control method is notsuitable to use in this kind of power grid. In this paper a new control technique has been proposed to reduce emission andreach an optimal control of nodes voltage in grid that containsrenewable resources and equipment to keep nodes voltages in desire margin such as, step voltage regulator, shunt reactor/capacitor and static VAR compensator. Also in thisgrid it is assumed that communication link is widespread. Genetic algorithm has been used to find the best condition of operation of these equipment. In order to show the advantages of this method, simulations have been applied to a test network with DGs. In this study, DGs are photovoltaic and fuel cell.Fuel cell has been used to keep surplus power of PV in day and inject its power in night when needed

distributed generation, fuel cell, renewable resources, photovoltaic, genetic algorithm