1. School of Electrical Engineering, Xinjiang University, Urumqi 830008, China;2. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China;3. State Grid Xinjiang Electric Power Co. Ltd., Urumqi 830000, China;4. Shanghai Electric Power Co. Ltd., Shanghai 200010, China

With the development of ultra-high voltage direct current(UHVDC)transmission, the scientific power supply planning for wind-photovoltaic-thermal bundled transmission is the premise of full realization of reliability and economic efficiency of the transmission project. This paper develops a multi-objective optimal allocation model considering both the penetration power limit of new energy and the anti-peak-shaving risk and large fluctuation risk of new energy output, to ensure the safe operation of the transmission project. In order to solve the optimization goal contradictory, the weight coefficient method is adopted to transform the developed multi-objective optimization problem into a single-objective optimization problem. The weight coefficients are determined by introducing the game theory, which can make up for the disadvantage of strong subjectivity of weight coefficient method. And the nested genetic algorithm(GA)is designed for solving the model. The example of power system planning in a certain area has verified the effectiveness of the proposed multi-objective optimization method, and the results show that the proposed programming model can take both the new energy penetration power limit and new energy output risk into account.