A Collaborative Optimization Method of Power Grid Economy and Environmental Protection based on HSMOPSO Algorithm

With the continuous development of society, the power industry occupies an increasingly important position in the national economy. However, the traditional development model of power industry often takes economic benefits as its main goal, ignoring its impact on the environment. In order to achieve sustainable development, the power industry needs to optimize the economic benefits and environmental protection. Particle swarm optimization (PSO) is an intelligent algorithm widely used in optimization problems, while hybrid leapfrog algorithm (FSA) is a new search algorithm. This study combines these two algorithms and proposes a HSMOPSO algorithm, which is applied to the collaborative optimization of power grid economy and environmental protection.