In this paper, we propose a novel multi-objective formulation of the environmental/economic optimal power flow (EOPF) problem that considers voltage violations, fuel costs, and emissions as objectives. Traditionally, the EOPF problem only quantified tradeoffs between fuel costs and emissions. This traditional formulation is limiting because it requires analysts to specify numerous constraints before optimization which can be especially problematic if system limits are uncertain or flexible. By considering these constraints as objectives, solutions can be optimized over a larger decision space, and lower cost/emissions can be traded off with potentially small constraint violations. We apply our formulation to the IEEE 30-bus system and use the Borg multi-objective evolutionary algorithm to analyze tradeoffs between objectives. We show that this formulation allows grid operators to apply adjusted constraints after the multi-objective design procedure, thus allowing for greater insights into system performance and further justification of system constraints.