CN112580926A - Method for dispatching electric bus to participate in V2G - Google Patents
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Abstract
The invention discloses a scheduling method for electric buses to participate in V2G, wherein a double-layer optimization model is adopted in the previous stage, the upper layer takes the minimum daily operation cost of a bus company as a target, and an iteration method is adopted to perform linkage optimization on the battery loss cost and the charging and discharging plan of a charging station; and the lower layer model further optimizes the charging and discharging plan of the charging station on the basis of the upper layer optimization result by taking the minimum peak-valley difference of the load of the power distribution network as a target, performs rolling update on the photovoltaic output and the basic load power of the power distribution network in the in-day stage, and corrects the in-day plan by taking the minimum daily operation cost of the public transport company and the minimum deviation of the in-day plan and the in-day plan as targets. The method can reduce the peak-valley difference of the load of the power distribution network on the basis of improving the operation economy of the public transport company, and has strong practicability.
Description
Technical Field
The invention relates to an orderly charging scheduling method for an electric vehicle, in particular to a scheduling method for an electric bus to participate in V2G.
Background
The electric bus as a novel energy automobile can obviously reduce energy consumption in the traffic field and reduce pollution of vehicles to the environment, and has wide popularization and application prospects. And the disordered charging of the large-scale electric bus can cause the peak-to-valley difference of the power grid to be increased, the grid loss to be increased and the voltage to be too low. Therefore, the reasonable arrangement of the charging and discharging plan of the electric bus based on the electric vehicle and power grid interaction (V2G) technology has important significance.
Currently, scheduling methods for electric vehicles to participate in V2G are classified into day-ahead and real-time class 2 on a time scale. Global optimization is carried out on the charging and discharging behaviors of the electric automobile day by day, the front-back coupling relation of the electric quantity of the electric automobile is considered, but the scheduling result deviation caused by large day-ahead prediction errors of renewable energy sources in the station and the basic load power of the power distribution network is difficult to avoid; the real-time optimization scheduling is carried out based on the current data, but the requirement on the calculation rapidity is high, and the whole data is difficult to integrate for optimization calculation.
In order to solve the technical problem, the invention provides a scheduling method for electric bus participation V2G.
Disclosure of Invention
The invention provides a day-ahead-day multi-time scale optimized scheduling method aiming at the defect that the global property and the accuracy of a scheduling plan cannot be considered in the aspect of designing the optimized scheduling method of the electric automobile participation V2G from a single time scale, and improves the superiority of the electric bus in the aspect of participating in V2G.
In order to achieve the purpose, the invention provides the following technical scheme:
a dispatching method for electric bus participation V2G comprises a day-ahead double-layer optimization stage I and a day-in real-time rolling optimization stage IV, the day-ahead double-layer optimization stage I is a double-layer optimization model, the day-ahead double-layer optimization stage I takes the minimum daily operation cost of a bus company as a target, decision variables comprise the loss cost of unit electric quantity of each electric bus, a day-ahead charging station charging and discharging plan and a bus-pile connection state, the power balance is taken as a charging station with transformer capacity considered for purchasing and selling electricity, the power and the electric quantity of the electric bus, the travel demand of the electric bus, the vehicle-pile connection state and the battery loss are taken as constraint conditions for linear programming solution, the day-ahead double-layer optimization stage I takes the minimum peak-valley difference as a target, carrying out secondary planning solution according to the constraint conditions that the charge and discharge amount is not changed and the battery loss is not changed, and further optimizing the charge and discharge plan of the charging station in the day ahead;
the intra-day real-time rolling optimization stage IV is used for responding to uncertainty of basic load power of the photovoltaic and the power distribution network in the charging station, the goal of minimizing the sum of the operation cost of a public transport company and the punishment item of the charging and discharging plan deviation in the day-day is taken, the rolling optimization method is adopted to correct the day-day charging and discharging plan, and the accuracy of optimal scheduling of the charging station is further improved.
As a further scheme of the invention: the day-ahead double-layer optimization stage I comprises an upper-layer optimization II and a lower-layer optimization III, the upper-layer optimization II takes the minimum daily operation cost of a bus company as a target, decision variables comprise the loss cost of unit electric quantity of each electric bus, a day-ahead charging station charging and discharging plan and a bus-pile connection state, linear planning and solving are carried out by taking power balance, a charging station with transformer capacity considered as a charging station for purchasing and selling electricity, the power and electric quantity of the electric bus, the travel demand of the electric bus, the bus-pile connection state and battery loss as constraint conditions, the lower-layer optimization III model takes the minimum peak-valley difference as a target on the basis of the upper-layer optimization II result, secondary planning and solving are carried out by taking the constant charging and discharging quantity and the constant battery loss as the constraint conditions, and the planned charging and discharging of the day-ahead charging station is further optimized.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, on the basis of improving the operation economy of a public transport company, the peak-valley difference of the load of the power distribution network is reduced, and the accuracy of optimal scheduling of the charging station is improved.
2. The invention provides a day-ahead-day multi-time scale optimized scheduling method aiming at the defect that the global property and the accuracy of a scheduling plan cannot be considered in the aspect of designing the optimized scheduling method of the electric automobile participation V2G from a single time scale, and improves the superiority of the electric bus in the aspect of participating in V2G.
Drawings
Fig. 1 is a schematic structural diagram of a scheduling method for electric bus participation V2G.
In the figure: a double-layer optimization stage I in the day ahead; optimizing the upper layer II; optimizing the lower layer III; and (4) rolling and optimizing the stage IV in real time in the day.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, in the embodiment of the present invention, a scheduling method for electric bus participation V2G includes a day-ahead double-layer optimization stage I and a day-interior real-time rolling optimization stage IV, where the day-ahead double-layer optimization stage I is a double-layer optimization model, the day-ahead double-layer optimization stage I targets at the minimum daily operation cost of a bus company, decision variables include loss cost of unit electric quantity of each electric bus, a day-ahead charging station charging and discharging plan, and a car-pile connection state, and a linear programming solution is performed with constraint conditions of power balance, power purchase and electricity of a charging station considering transformer capacity, power and electric quantity of an electric bus, travel demand of the electric bus, a car-pile connection state, and battery loss, etc. as constraints, the day-ahead double-layer optimization stage I targets at the minimum peak-valley difference, and performs a secondary programming solution with constraint conditions of constant charging and discharging quantity, constant battery loss, etc., further optimizing the charging and discharging plan of the charging station at the day before;
the intra-day real-time rolling optimization stage IV is used for responding to uncertainty of basic load power of the photovoltaic and the power distribution network in the charging station, the goal of minimizing the sum of the operation cost of a public transport company and the punishment item of the charging and discharging plan deviation in the day-day is taken, the rolling optimization method is adopted to correct the day-day charging and discharging plan, and the accuracy of optimal scheduling of the charging station is further improved.
The day-ahead double-layer optimization stage I comprises an upper-layer optimization II and a lower-layer optimization III, the upper-layer optimization II takes the minimum daily operation cost of a bus company as a target, decision variables comprise the loss cost of unit electric quantity of each electric bus, a day-ahead charging station charging and discharging plan and a bus-pile connection state, linear planning and solving are carried out by taking constraint conditions of power balance, transformer capacity considered charging station purchasing and selling electricity, power and electric quantity of the electric bus, travel demand of the electric bus, a bus-pile connection state, battery loss and the like as constraint conditions, the lower-layer optimization III model carries out secondary planning and solving on the basis of the upper-layer optimization II result by taking the minimum peak-valley difference as a target and taking the constant charging and discharging quantity, the constant battery loss and the like as constraint conditions, and the charging and discharging plan of the day-ahead charging station is further optimized.
The working principle of the invention is as follows: the upper-layer optimization II aims at the minimum daily operation cost of a bus company, decision variables comprise the loss cost of unit electric quantity of each electric bus, a daily charging station charging and discharging plan and a vehicle-pile connection state, linear planning solution is carried out by taking the power balance of a charging station considering the transformer capacity, the power and the electric quantity of the electric bus, the travel demand of the electric bus, a vehicle-pile connection state, battery loss and the like as constraint conditions, the lower-layer optimization III model aims at the minimum peak-valley difference on the basis of an upper-layer optimization II result, secondary planning solution is carried out by taking the renewable charging and discharging quantity, the battery loss and the like as constraint conditions, the charging and discharging plan of the daily charging station is further optimized, the charging and discharging behaviors of the electric vehicles can be globally optimized, the front-back coupling relation of the electric quantity of the electric vehicles is considered, and the scheduling problem caused by the large daily prediction error of the power of energy sources in the station and the basic load power distribution network is avoided Deviation of results; and performing real-time optimized scheduling based on the current data, integrating the whole data to perform optimized calculation, and correcting the day-ahead charging and discharging plan by adopting a rolling optimization method by aiming at the minimum sum of the operation cost of the public transport company and the punishment item of the day-day charging and discharging plan deviation in the day-day real-time rolling optimization stage IV so as to further improve the accuracy of optimized scheduling of the charging station. On the basis of improving the operation economy of a public transport company, the peak-valley difference of the load of the power distribution network is reduced, the accuracy of optimized dispatching of the charging station is improved, and the practicability is high.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (2)
1. A scheduling method for electric bus participation V2G comprises a day-ahead double-layer optimization stage I and a day-interior real-time rolling optimization stage IV, and is characterized in that the day-ahead double-layer optimization stage I is a double-layer optimization model, the day-ahead double-layer optimization stage I takes the minimum daily operation cost of a bus company as a target, decision variables comprise the loss cost of unit electric quantity of each electric bus, a day-ahead charging station charging and discharging plan and a bus-pile connection state, linear planning solution is carried out by taking the constraint conditions of power balance, power selling of charging stations considering transformer capacity, power and electric quantity of electric buses, travel demand of the electric buses, the bus-pile connection state and battery loss as constraints, the day-ahead double-layer optimization stage I takes the minimum peak-valley difference as a target, secondary planning solution is carried out by taking the constant charging and discharging quantity and the constant battery loss as constraints, further optimizing the charging and discharging plan of the charging station at the day before;
the intra-day real-time rolling optimization stage IV is used for responding to uncertainty of basic load power of the photovoltaic and the power distribution network in the charging station, the goal of minimizing the sum of the operation cost of a public transport company and the punishment item of the charging and discharging plan deviation in the day-day is taken, the rolling optimization method is adopted to correct the day-day charging and discharging plan, and the accuracy of optimal scheduling of the charging station is further improved.
2. The dispatching method of electric bus participation V2G, according to claim 1, wherein the day-ahead double-layer optimization phase I includes an upper layer optimization II and a lower layer optimization III, the upper layer optimization II aims at the minimum daily operation cost of the bus company, the decision variables include the loss cost of unit electricity of each electric bus, the day-ahead charging station charging and discharging plan and the bus-pile connection state, the linear planning solution is performed by using the constraint conditions of power balance, electricity purchase and sale of the charging station considering transformer capacity, power and electricity of the electric bus, the travel demand of the electric bus, the bus-pile connection state and battery loss, the lower layer optimization III model performs the secondary planning solution by using the minimum peak-valley difference on the basis of the upper layer optimization II result and by using the constraint conditions of constant charging and discharging amount and constant battery loss, further optimizing the charging and discharging plan of the charging station at the day ahead.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113609658A (en) * | 2021-07-19 | 2021-11-05 | 华北电力大学 | Optimal configuration calculation method and calculation device for bus junction in power distribution system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113609658A (en) * | 2021-07-19 | 2021-11-05 | 华北电力大学 | Optimal configuration calculation method and calculation device for bus junction in power distribution system |
| CN113609658B (en) * | 2021-07-19 | 2024-02-27 | 华北电力大学 | Optimal configuration calculation method and calculation equipment for public transport hub in power distribution system |
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