| In recent years,the frequent blackouts resulted from extreme weather have caused huge economic and property losses in many countries.It is necessary to study the measures to enhance the resilience of the distribution system in order to ensure the uninterrupted power supply of important loads.The energy storage system has the advantages of two-way energy flow and fast response speed,which can improve the redundancy and the resourcefulness of the distribution network and has the potential to improve the resilience of the distribution network.However,the investment and construction cost of the energy storage system is still high at present,and the selection of access locations and the rational allocation of capacity and power have a great impact on its role.Therefore,this paper studies the site selection and capacity planning of energy storage system in the distribution network.In this paper,the basic working principle of four kinds of energy storage technologies such as electromagnetic energy storage,mechanical energy storage,thermal energy storage and battery energy storage is expounded first.By comparing the key parameters such as investment cost,cycle life,conversion efficiency,response speed and construction difficulty of these energy storage technologies,it is determined that the battery energy storage system(BESS)is taken as the research object of this thesis.Then the typical application scenarios of BESS in power grid are analyzed and its mathematical model is established.Secondly,in order to minimize the comprehensive operation and maintenance costs of the distribution network,an optimal dispatching method to deal with extreme weather is proposed coordinating different active management measures such as demand side response and network reconfiguration,in which the penalty for energy not supplied is taken as the evaluation index of resilience.On this basis,a two-stage stochastic optimization model of BESS is established based on the conditional value at risk theory.In the planning stage,the summation of investment cost and the CVaR of operation and maintenance cost is minimized,through which the influence of extreme weather on the sizing and locating of battery energy storage system is quantified.In the operation stage,the Monte Carlo simulation is adopted to establish a large-scale scenario set that takes into account the multiple uncertainties.Then,the FSWC algorithm with clustering by fast search and find of density peaks method is proposed to reduce the scenario to balance the complexity and accuracy of the computation.By comparing with the traditional risk-neutral planning method,the correctness of the proposed method and the promotion of the resilience of distribution network are verified,and the influence of decision-makers' risk appetite on the planning result is further studied. |
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