Research On Distributed Generation And Planning Methods Of Typical Microgrid

To solve the generation and load uncertainties and bi-direction powerflow brought by the DG’s (distributed generation, DG) integration to thedistribution network, Microgrid (MG), an appropriate solution to DGintegration, is developed. Siting and sizing of DG and architectureplanning of MG need to be further studied, in order to obtain the optimalperformance of MG.Firstly, the generation principles, output power modeling andapplication evaluation of typical DGs are presented in detail in the paper.The Power flow calculation of MG using Newton-Raphson Method isinvestigated based on the above statement. Secondly, coordinated withcharacteristics of MG, the suitable integrated capacity, penetration rate tothe distribution network, the voltage level and recommended connectionmode of MG are obtained. Then a set of planning methods applicable toMG are formed, including the load prediction with DG, microgrid formulation,siting and sizing modeling of DG considering its investment costs andenvironmental benefits, network planning of MG considering user outagecosts to minimize network annual costs as objective function. Then, Aunified planning model taking both DG’s siting and sizing and networkstructure of MG is developed, which optimizes the total annual costs and issubjected to the constraints of transmission power and network operation.Self-adaptive Discrete Particle Swarm Optimization (DPSO) Algorithm andimproved Genetic Algorithm (GA) are adopted in the solving process of DG’sallocation and MG’s network planning, respectively. Finally, the planning methodsabove are validated on a MG plot and the optimal planning scheme is obtained.