Energy Management And Fault Restoration Of Microgrid And Smart Distribution Network

Smart Grid has led the development of power systems. This thesiswill focus on two major parts of Smart Grid: MicroGrid and SmartDistribution network.Flexible network structure is an important character of Smart Grid.Basing on traditional MircroGrid, Dynamic MicroGrid has been proposed.Through its flexible structure and coordinated control of DGs and loads,Dynamic MicroGrid can realize optimal energy management andself-healing. In order to do optimal control and management of DynamicMicroGrid, an optimal algorithm basing on Quantum-behaved PSO(QPSO) and Binary PSO (BPSO) has been proposed. This algorithm cansolve non-linear multi-objective optimal problems with continuous anddiscrete parameters. A MAS system for energy management andself-healing of Dynamic MicroGrid basing on QPSO and BPSOalgorithm has been constructed. Examples show that during normalcondition, voltage level, system loss and DGs' efficiencies of DynamicMicroGrid are better than those of traditional MicroGrid; duringemergency condition, taking advantage of its flexible structure, DynamicMicroGrid can restore power supply quickly and its operation condition after self-healing becomes better.DGs and MicroGrids are parts of smart distribution network in thefuture. According to many researches, DGs will be connected toMicroGrids and then included in smart distribution network. For thisreason, a new method to determine multi-objective optimal location andsizing of MicroGrid is presented. Both voltage improved index and lossimproved index are used to evaluate interconnecting MicroGrid todistribution network, while QPSO and BPSO algorithm is used to do theoptimal calculation. Examples show that better system stability and powerloss can be reached by using this method. Basing on the allocation ofMicroGrid, restoration of distribution network with MicroGrid isanalyzed and a new method called "three-section method for faultrestoration" is presented. Comparing with power restoration of traditionaldistribution network, the presented method can restore power supplyquicker and the operating condition of restored system becomes muchbetter. Examples show that the presented method has good feasibility andpracticability.