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Research On Economic Dispatch Strategy Of Active Power Distribution Network Based On Coordination Optimization Algorithm

Posted on:2017-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:X ChenFull Text:PDF
GTID:2272330491951678Subject:Control engineering
Abstract/Summary:PDF Full Text Request
The development of renewable energy technology has been rapidly developed since the energy crisis has become more and more serious and the construction of environmentally friendly society has been vigorously promoted. Among them, the wind power and photovoltaic power generation and so on has been widely used, but at the same time, there are the shortcomings such as high access costs, control technical problems and the negative impact to the power grid. To this end, the microgrid technology arises. Microgrid will be centralized management of renewable energy, to give full play to the advantages of each micro power supply, but also to ensure that the power grid will not affect the safety and stability. Distribution network becomes active system due to the connected-microgrid, the energy exchange with the micro grid can be reasonably scheduled to reduce energy loss and improve the power quality of distribution network. On the one hand, micro grid micro power economic dispatch is micro grid scheduling technique is one of the key, This paper studied how to eliminate the risks of the grid safe and stable operation produced by wind power and photovoltaic output,load and other uncertain factors of micro power. On the other hand, the research of coordinated optimization between micro grid and distribution network is still relatively lacking. This paper has a tentative study about how to achieve mutual benefit and win-win between the active distribution network and micro grid.For the microgrid economic dispatch problem, a centralized and distributed energy optimization algorithm is proposed, which is based on the improved particle swarm optimization algorithm. Centralized layer and distributed layer optimization model are established, and the centralized layer is used to schedule forecast data. Distributed layer based on real-time data for resolve uncertainty factors influence, using distributed optimization based on graph theory, will be calculated on the tasks assigned to each of the involved in the scheduling of nodes. And quickly resolve fluctuations. Through the double layer optimization simulation scheduling of a medium voltage reference micro grid system, it is proved that the algorithm can quickly converge to the optimal solution.A decomposition and coordination optimization algorithm is proposed for the coordination and optimization of distribution network and Microgrid. Firstly, the coordination optimization model of distribution network and micro grid is constructed, and the coordination parameters are designed. Based on improved particle swarm optimization algorithm and binary particle swarm optimization algorithm, the optimization of injection power and reconstructed with the minimum network loss as the target. Micro grid is still the goal of minimum cost. The algorithm coordinates the two optimization objectives by transferring the coordination parameters. A numerical example is given to verify the algorithm. Firstly, through the simulation on IEEE 33 bus distribution system, verify the effectiveness of dual optimization algorithm, then the overall system composed of the medium voltage distribution systems and ieee33 bus system are simulatied to verify the decomposition coordination optimization algorithm. The results showed that coordinated optimization can also reduce the loss of distribution network and micro grid generation cost.
Keywords/Search Tags:microgrid, economic dispatch, double-layer optimization, particle swarm optimization, active distribution network, decomposition and coordination optimization
PDF Full Text Request
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