An Optimal Dispatch Method with Electric Vehicles Considering Wind Power and Load Uncertainty

Abstract

The invention discloses an optimal dispatching method including electric vehicles considering the uncertainty of wind power and load, taking the power system including grid-connectable hybrid electric vehicles, wind power and thermal power as the research object, and constructing the energy-saving and emission-reduction dispatching considering the uncertainty model; first use multi-scenario simulation technology to decompose the uncertain random process into several typical discrete probability scenarios, and use multi-agent system technology 2 The optimal scheduling with the goal of emission is decomposed into 24 working agents, and the genetic algorithm is used to solve the set. The cooperative agent is responsible for the dynamic coupling scheduling between the working agents, so that the system can meet the dynamic balance constraints, and finally achieve an effective balance between carbon emissions and energy saving through weight adjustment. coordination. The model established by the present invention is effective and feasible, and PHEV can effectively realize load peak elimination and valley filling, promote the absorption of wind power, and play the role of load scheduling. By reasonably selecting the weight of energy saving and carbon emission goals, the balance between energy saving and emission reduction an effective compromise between.

Description

technical field [0001] The invention belongs to the field of optimal dispatching of power systems, relates to wind power and load uncertainty processing, electric vehicle charge and discharge control, and in particular to uncertainty processing. Background technique [0002] With the increasingly prominent contradiction between energy shortage and environmental pollution, clean and renewable energy has attracted widespread attention. Electric vehicles have incomparable advantages over traditional vehicles in terms of energy saving and emission reduction, curbing climate warming and ensuring the security of oil supply, etc., and have attracted extensive attention from governments, automobile manufacturers and energy companies in various countries. A technical report given by the National Renewable Energy Laboratory of the United States shows that PHEVs can greatly reduce CO2 emissions. It is precisely because PHEV has huge energy-saving and emission-reduction potentials that...

AI Technical Summary

Problems solved by technology

[0003] In the traditional mode, the optimal dispatching of wind power and electric vehicles does not consider the uncertainty of wind power and load, and uses a deterministic method to solve it, which is inconsistent with the random characteristics of wind power and load, and cannot truly reflect the actual dispatching situation

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