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Research On Optimal Dispatch Of Active Distribution Network With Demand Response

Posted on:2019-09-06Degree:MasterType:Thesis
Country:ChinaCandidate:L F LiuFull Text:PDF
GTID:2382330548469313Subject:Engineering
Abstract/Summary:PDF Full Text Request
Active distribution network contains a large number of distributed generations and flexible load.This improves the flexibility of the power system,and also sets a higher demand on operation scheduling.Compared with the traditional passive operation mode of distribution network,ADN can make use of demand response and traditional dispatch,in order to achieve safe and economic operation of the system.The demand response is divided into price-based and incentive-based demand response.For the former,this paper studied the internal relations between demand and electricity price.Then,an economic model based on user benefit function and price elasticity is established;for the latter,the load model is built according to the actual response characteristics.With demand response and the system's uncertainties considered,a bi-level optimal scheduling model of active distribution network is proposed.The model has two layers,which are the price coordination layer and the schedulable unit control layer.The former adopts demand response as the core and adjusts day-ahead electricity price,to maximize customer satisfaction,minimize the load variance and operation cost of the system.The later decides the operation state of schedulable unit based on the optimized demand curve to minimize the operation cost.In order to guarantee the system security,the uncertainties' impact on the safety is taken into account.The scheduling model is not a simple serial structure between the two layers,but it is based on the two-way flow of information to achieve coordination and interaction.The price coordination layer transfers optimized demand to the schedulable unit control layer.Then,the unit control layer calculates the operation cost and feedback to the price coordination layer.In the process of adjusting day-ahead electricity price,the operation cost is used as one of the important considerations.The two layers continue to coordinate and interact until the system is optimal.Due to the characteristics of coordination and interaction in the bi-level optimal scheduling model,the efficiency of the solution need to be concerned.So.this paper proposes a combination strategy of intelligent optimization algorithm and traditional optimization algorithm.In the price coordination layer,shuffled frog leaping algorithm's global search mechanism and bacterial foraging algorithm's cluster mechanism are introduced into the harmony search algorithm.For the schedulable unit control layer,sensitivity analysis method is introduced to get the safety constraints linearized.And based on that,the traditional interior point method is applied to solve the problem.At last,an improved IEEE 14-node is used as an example to test the effectiveness of the proposed scheduling model.It turns out that the model can effectively ensure system safety,improve customer satisfaction,reduce the system operation cost and the peak-valley difference.To assess the accuracy of the simplified model,the result of sensitivity analysis method is compared with the exact power flow calculation.On the premise of guaranteeing the accuracy,it proves that this method can significantly improve the solving efficiency of the model.
Keywords/Search Tags:active distribution network, bi-level interactive dispatch optimization, demand response, improved harmonic search algorithm, sensitivity analysis
PDF Full Text Request
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