Abstract:  In the context of ‘energy Internet’， this paper proposes a multi-objective optimal dispatch of integrated electricity and natural gas system considering objectives of operation cost， carbon emissions and peak-load shifting. In the multi-objective optimal dispatch， P2Gs （power to gas） and gas turbines cooperate with each other to improve ability of the wind power accommodation， reduce carbon emissions and optimize net electric load curve. To handle this issue， an improved Pareto optimizer named generalized normal boundary intersection （GNBI） is developed which can obtain an evenly and widely distributed Pareto front of multi-objective optimization. Whats more， traditional multi-objective decision making methods usually ignore the correlation among objectives， which cannot fully coordinate multiple conflicting objectives. A Mahalanobis distance based double base points method is introduced to select a compromise solution for dispatchers. Finally， an integrated electricity and natural gas system with IEEE 39-node system and Belgian 20-node gas system is employed to verify the Superiority of Multi-objective optimal dispatch， as well as the applicability of GNBI and Mahalanobis distance based double base points method.

Key words:  integrated electricity and natural gas system, multi-objective optimal dispatch, generalized normal boundary intersection method, Mahalanobis distance based double base points method, power to gas