Considering the impact of failure rate on the location and capacity determination method of distributed power generation including electric vehicles

Abstract

The invention discloses a method for site selection and capacity determination of distributed power sources including electric vehicles in consideration of failure rate effects, which includes: modeling wind power WT, photovoltaic PV generator sets, user loads and electric vehicle EV charging loads; establishing time-varying The time-varying failure model of components; the overall failure rate model of PV, WT, and EVCS is obtained through the component failure rate model; the system operation risk satisfaction function is expressed by the failure rate, repair rate, average guarantee delay time, and failure rate; the network loss, Reactive power loss, line load and voltage deviation are used as indicators for evaluating system network performance, and the four indicators are weighted to obtain system network comprehensive performance indicators; the upper-level objective function and the lower-level objective function are respectively based on the maximum operational risk satisfaction and the optimal system comprehensive performance , establish a two-layer siting and capacity coordination planning model, and use the hybrid search strategy combining the improved particle swarm optimization algorithm and the original dual interior point method to solve the problem.

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...

AI Technical Summary

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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