Font Size: a A A

Optimal Planning And Operation Of Distribution Network With Distributed Generation

Posted on:2018-06-23Degree:DoctorType:Dissertation
Country:ChinaCandidate:K LiFull Text:PDF
GTID:1362330590455247Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
With the continuously increasing of electricity demand,the constantly deepening of energy shortage and the increasingly severe of environmental pollution,the request of clean production of electricity and efficient utilization of energy cannot be satisfied only depending on traditional centralized power generation.Under this background,distributed generation(DG)technology has been widely spread and rapidly developed with its unique environmental friendliness,convenient installation,flexible operation and other advantages.When DG connected to the distribution network,in will bring a series of challenges to the planning and operation.In order to give full play to the benefits of it and try to reduce the negative impact,it is necessary to do some research on the planning and operation of distribution network with DG,which may further promote the development and utilization of distributed energy.This dissertation is the summary of the research on the planning and operation of distribution network with DG during the pursuing doctoral degree,and the main works are as follows:(1)A planning method of intermittent DG considering a variety of active management measures is proposed.Based on the multi-scenario planning theory,considering the multiple active management measures and timing sequence and correlation,the intermittent DG planning model is established with the minimal annual carbon emission as the objective function.According to the characteristics of the model and the idea of decomposition and coordination,the model is transformed into a bi-level model.The model is solved by a mixed strategy which is combined by adaptive fuzzy particle swarm optimization and primal-dual interior point method.The influence of active management measures on the planning results and the potential contribution to carbon reduction is studied.(2)A novel DG planning approach considering the cost of demand-side management and carbon emission is proposed.Based on the multi-scenario planning theory,the DG planning model in the distribution network with the minimal annual cost as the objective function,the various electrical and DG installation as constraints,is established.The influence of demand side management and carbon emission price on the planning result is studied emphatically.The simulation results show that a better planning result can be obtained when considering demand side management,and the planning model considering the cost of carbon emission is adaptable to the future development trend of low-carbon planning method.(3)A multi-objective extended planning method of distribution network integrating with DG is proposed.According to the multi-objective optimization theory,considering DG's installation and new construction of distribution lines,a multi-objective extended planning model considering is established,with the minimal annual comprehensive cost and the minimal load cutting as objective functions,and the various electrical and investment restrictions as constraints.According to the characteristics of the model,non-dominated sorting fuzzy adaptive particle swarm optimization algorithm and primal-dual interior point method are applied to solve the model and get the Pareto optimal solution set,which can be effective reference for the decision of new energy application.(4)An optimization method of distribution network's static comprehensive operation considering reactive power optimization,DG active optimization and network reconfiguration is proposed.The optimal comprehensive operation model of distribution network is established,with minimal active network loss as the objective function,and the various electrical restricts and network topology as the constraints.The model can optimize the capacitor switching capacity,ratio of on-load tap changing transformer,DG output and status of network switch,so as to achieve the purpose of reducing the active power loss of distribution network.The simulation results show that comprehensive optimization is better than that of single optimization method.(5)An optimization method of static comprehensive operation of distribution network considering prediction error of intermittent DG output is proposed.The optimal static comprehensive operation model of the distribution network considering the correlation of prediction error is established,with the minimal expectation of active power loss as objective function,the various electrical restricts,correlation and network topology as constraints.The adaptive fuzzy particle swarm optimization and probabilistic power flow of the distribution network which can deal with the correlation are applied to solve the model.The simulation results show that it is of great necessity to consider the correlation of the intermittent DG output prediction error.(6)A dynamic comprehensive operation optimization method of distribution network considering battery energy storage accessing and correlation of intermittent DG output prediction error is proposed.With minimal expectation of operation cost during the whole period as the objective function,the various electrical restricts,correlation and network topology at different times as constraints,a novel model considering battery energy storage accessing is established.Accordingly,corresponding solving strategy is proposed.The simulation results show that a better optimization solution can be achieved it the dispatching of battery energy storage is considered.Finally,the whole paper is summarized and the direction of further research is put forward.
Keywords/Search Tags:distribution network, distributed generation, planning and operation, multi-scenario, multi-objective, correlation, fuzzy adaptive particle swarm optimization algorithm, primal-dual interior point method
PDF Full Text Request
Related items