Font Size: a A A

Optimal Dispatching Technology In Honeycomb Active Distribution Network

Posted on:2020-09-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y F YangFull Text:PDF
GTID:2392330575958994Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The traditional medium-voltage distribution network has some problems,such as low reliability of power supply,weak absorption ability of new energy,high cost of network upgrading and weak adaptation to the market-oriented environment of electric power,which have increasingly become the bottleneck of hindering the development of intelligent distribution network.In recent years,with the large-scale development and utilization of renewable clean energy such as wind energy and solar energy,micro-grid and distributed grid-connected generation technology have developed rapidly,and promoted the transformation of traditional passive distribution network to distributed active distribution network,market-oriented and intelligent technology research and upgrading.With the large-scale access of microgrid to distribution network and the implementation of power market,the traditional distribution network urgently needs to be transformed and upgraded.Although there are many theoretical and applied literatures on intelligent distribution network at home and abroad,their achievements are based on the basic principle of not changing the traditional distribution network topology,i.e.the main network structure.According to this,this paper proposes a honeycomb active distribution network topology based on the smart power/information exchange base station associated microgrid group structure.Through the smart power/information exchange base station,the microgrid can achieve decoupling control and distributed autonomy on the premise of ensuring"interconnection and complementarity"in power dispatch,which is not only conducive to the absorption of large-scale distributed clean energy,but also improves the reliability of power supply and the flexibility of power dispatch and capacity expansion of active distribution network.On the basis of reviewing the research results of microgrid and microgrid group technology at home and abroad,firstly,this paper describes the topological structure and functional characteristics of honeycomb active distribution network,and the control mode of honeycomb-like active distribution network based on smart power/information exchange base station(microgrid control mode,coordinated control mode between microgrids,etc.).Secondly,the coordinated optimization control method of microgrid group based on intelligent power/information exchange base station is studied.According to the output characteristics of different distributed generators,the economic optimal dispatching model of microgrid group is established,and the mutation particle swarm optimization algorithm is proposed.The effectiveness of the optimization is verified in the example of microgrid group composed of three microgrids.Finally,according to the characteristics of the topology of the honeycomb active distribution network,a distributed optimization method suitable for the honeycomb active distribution network is proposed and an optimization model is established.In the aspect of dealing with optimization objectives,this paper introduces the expected power loss to describe the reliability of the system,puts forward the optimization objective function taking into account the reliability cost,simplifies and solves the multi-objective optimization problem by using the weight coefficient method and the primal-dual interior point method,and verifies the effectiveness of the optimization in seven honeycomb-shaped active distribution network examples.By comparing the optimization results under different weights in an example,the influence of reliability cost on optimal dispatching strategy of honeycomb active distribution network is analyzed.
Keywords/Search Tags:smart power/information exchange station, microgrid group, honeycomb active distribution network, economic optimal dispatching model, mutation particle swarm optimization algorithm, distributed optimization, reliability cost, weight coefficient method
PDF Full Text Request
Related items