The concern of the environment and energy sustain ability requests a crucial target of CO2 abatement and results in a relatively high penetration of renewable energy generation in the transmission system . For maintaining system reliability and security, the transmission company(TRANS CO) has to make strategic planning to handle the uncertainty challenges from the intermittent renewable energy resources. In this paper , a stochastic multipe riodmulti objective transmission planning (MPMOTP) model is proposed to reduce correlated uncertainties from renewable energy generation, conventional generation, demand sidevariations, market price volatility, and transmission configuration. Three objectives, i.e. social CO2 reduction benefit, energy purchase and network expansion cost and powerdelivery profit, are optimized simultaneously by a developedtwo-phase multi-objective particles warm optimization(MOPS O) method. The feasibility and effectiveness of the proposed uncer tainty-averse MPMOTP model have beenverified by the IEEE 24-bus test system .