Electric vehicle grid-connected cooperative control method in comprehensive energy system environment
An integrated energy system and electric vehicle technology, applied in the field of electric vehicle grid-connected collaborative control, can solve problems such as increased network loss and increased load peak-to-valley difference.
Active Publication Date: 2021-03-09
HULUNBEIER ELECTRIC POWER BUREAU OF EAST INNER MONGOLIA ELECTRIC POWER COMPANY +2
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Problems solved by technology
However, when electric vehicles are connected to the system on a large scale, disorderly charging and discharging will have a negative impact on the dispatching operation of the integrated energy system, such as increased load peak-to-valley differences and increased network losses.
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[0092] The present invention proposes a grid-connected collaborative control method for electric vehicles under the environment of an integrated energy system. The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0093] Electric vehicle grid-connected collaborative control method under the environment of integrated energy system, refer to figure 1 , including the day-ahead scheduling of the integrated energy system, the optimal scheduling of electric vehicle clusters, and the charging and discharging scheduling of electric vehicles within the cluster; the details are as follows:
[0094] Day-Ahead Scheduling of Integrated Energy Systems
[0095] Step 1: Set the initial data of the integrated energy system, including the predicted value of electric heating load and expected value of renewable energy output, such as figure 2 with image 3 As shown; the upper and lower limits of each equipment output an...
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The invention discloses an electric vehicle grid-connected cooperative control method in an integrated energy system environment, and belongs to the field of integrated energy system optimal scheduling. According to the method, an improved MOPSO algorithm is adopted to obtain a comprehensive energy system day-ahead scheduling scheme by taking minimum system scheduling scheme cost, minimum energy fluctuation and best environmental friendliness as targets; the user satisfaction is taken as a target, the charging and discharging power of each cluster is solved by adopting an improved PSO algorithm, and a charging and discharging plan of each EV in each time period is made according to the dynamic priority in the cluster; the relaxation degree is defined to represent the priority of the EV participating in scheduling, is dynamically updated in real time in the scheduling process, and truly reflects the state of the EV. The method considers the travel demand of the owner of the electric vehicle and the problem of how to orderly participate in the scheduling of the comprehensive energy system, and has certain economy, safety and environmental friendliness.
Description
technical field [0001] The invention relates to the field of optimal dispatching of integrated energy systems, in particular to a method for synergistic control of grid-connected electric vehicles under the environment of integrated energy systems. Background technique [0002] The contradiction between energy demand growth, energy shortage, and environmental pollution has deteriorated sharply, so the integrated energy system (Integrated Energy System, IES) has received extensive attention. At the same time, electric vehicles (Electric Vehicle, EV) have become a good choice for people to travel because of their energy saving, emission reduction and green environmental protection features. Electric vehicles can not only absorb electric energy from the system as a load, but also discharge to the system as a distributed energy storage unit through V2G (Vehicle to Grid, V2G) technology. However, when electric vehicles are connected to the system on a large scale, disorderly cha...
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IPC IPC(8): H02J3/32H02J3/00H02J3/46B60L55/00B60L53/63
CPCH02J3/322H02J3/003H02J3/466B60L55/00B60L53/63H02J2300/24H02J2300/28H02J2310/48Y02T10/70Y02T10/7072Y02T90/12Y02E10/56
Inventor 刘玉成叶波曹春诚黄伟罗永利刘文彬段炼马超群王超王鹏浩班晓萌刘弋铭
Owner HULUNBEIER ELECTRIC POWER BUREAU OF EAST INNER MONGOLIA ELECTRIC POWER COMPANY