Method for locating and sizing distributed power supply containing electric vehicle by considering failure rate influence

Abstract

The invention discloses a method for locating and sizing a distributed power supply containing an electric vehicle by considering the failure rate influence. The method comprises the following steps:modeling a wind power WT, a photovoltaic PV generator set, a user load and an electric vehicle EV charging load; establishing an element time-varying fault model changing with time; obtaining PV, WT and EVCS overall failure rate models through the element failure rate model; representing a system operation risk satisfaction function by using the failure rate, the repair rate, the average guaranteedelay time and the failure rate; taking the network loss, the reactive power loss, the line load and the voltage deviation as indexes for evaluating the system network performance, and weighting thefour indexes to obtain a system network comprehensive performance index; respectively taking the maximum operation risk satisfaction degree and the optimal system comprehensive performance as an upper-layer target function and a lower-layer target function, establishing a double-layer locating and sizing coordinated planning model, and solving by adopting a hybrid search strategy combining an improved particle swarm algorithm and a primal-dual interior point method.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method for site selection and capacity determination of a distributed power supply including electric vehicles taking into account the influence of the failure rate, especially a double-layer site selection and determination method for a distributed power supply including electric vehicles considering the influence of the failure rate Content coordination optimization method. Background technique [0002] With the rapid development of renewable energy power generation technology and the deepening of the concept of sustainable development, the grid connection of distributed power generation DG and electric vehicles EV has a positive effect on the optimization of energy structure, energy conservation and emission reduction, and response to climate change. However, the site selection of electric vehicle charging stations will affect the stability of the distribution networ...

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Problems solved by technology

[0003] Although there are a large number of literatures on the site selection and capacity planning of DG or EV charging station EVCS, most of them are independent planning of DG or EVCS. In some cases of coordinated planning, most of them are multi-objective planning or the comprehensive cost is the minimum Due to the conflicting decisions between DG and EVCS, the results obtained by the multi-objective programming model and the single-objective programming with the minimum comprehensive cost are not ideal

Most of the existing studies do not consider the impact of operational risk in the comprehensive cost. Although some literature takes operational risk into account, it expresses the impact of component failure rate on operational risk as a constant, and does not consider the change of component failure rate with time and Impact of Maintenance Time on Operational Risk

And in terms of research methods, it is mainly the reliability index and fault tree combination method and the time event simulation method. The former cannot add the influencing factor of time, and the latter mainly uses the Monte Carlo method, which is highly random and can be calculated with the improvement of accuracy. large

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