Design Optimization of Microgrid Based on Generalized Demand Side Resources

Rational planning and design of microgrid can effectively reduce the cost of investment, and they are the basis and precondition to ensure the microgrid to bring its superiority into full play during the operation. Taking the coupling characteristic of planning and operation as well as the important features of coordination and interaction of resources at supply and demand sides in the context of energy internet into account, the integrated planning and design of microgrid, in which the generalized resources at the demand side were considered, was put forward. Firstly, a mathematical model of generalized demand side resources was established, on this basis, the mathematical optimized model for integrated resource planning of microgrid was constructed. Secondly, the dynamic adaptive particle swarm optimization algorithm was utilized to solve the high-dimensional optimization problem. Finally, the simulation results and contrastive analysis show that using the proposed method the peak-load of microgrid can be reduced and the economic objective of the planning and design of microgrid can be implemented, besides, the superiority of microgrid planning and design, in which the generalized demand side resources are considered, as well as both feasibility and effectiveness of applying the proposed algorithm are verified, thus, the proposed method may provide reference for demand side resources to participate the planning and operation of microgrid actively.