Smart grid adaptive energy conservation and optimization engine utilizing Particle Swarm Optimization and Fuzzification

•A novel energy conservation and optimization engine is proposed using smart grid functionalities.•This paper presents an advanced Volt-VAR Optimization (VVO) solution using Particle Swarm Optimization algorithm.•The energy conservation is achieved through Conservation Voltage Reduction as substantial subpart of VVO.•To accurately weight the optimization engine sub-parts, Fuzzification technique is employed.•33-node test feeder is employed for a complete day in the presence of six different operating scenarios.