Multi-attribute Decision Making Using Fuzzy Ranking and Time Varying DE for Optimal Dispatch of Micro Grid

With depleting fossil reserves, increasing cost and global focus on reducing emissions, efforts for increasing participation of renewable energy sources have gained momentum. The smart micro grid technology is therefore growing very fast with the aim of improving efficiency and reliability and facilitating integration of distributed energy resources (DER). The economical operation of smart grid is a very big challenge for operators in the deregulated power sector. Decision making with multiple conflicting objectives is a complex task and traditional methods do not work well in practical uncertain environment. This paper presents a technique based on time-varying differential evolution (TVDE) for optimal scheduling of DERs in a micro-grid. A fuzzy decision making is carried out to rank the different solutions in order of their merit, considering both, cost and emission reduction objectives. Pareto optimal solution set is generated to cover the full operating range of DERs. The proposed approach is validated on a 4-Distributed Energy Resources and 14-Bus radial micro network and the results are found to be promising.