CN117096874B - Modeling method and application of power system scheduling model - Google Patents

Modeling method and application of power system scheduling model Download PDF

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CN117096874B
CN117096874B CN202311262455.6A CN202311262455A CN117096874B CN 117096874 B CN117096874 B CN 117096874B CN 202311262455 A CN202311262455 A CN 202311262455A CN 117096874 B CN117096874 B CN 117096874B
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power
moment
power system
standby
electric automobile
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CN117096874A (en
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陈新宇
金天昱
王淼
冯长有
郎燕生
严亚勤
李理
陈郑平
胡鑫
孙博
程芸
穆永铮
吕闫
范海威
李金盛
石上丘
丁凌龙
孙略
罗雅迪
宁剑
沙立成
刘升
门德月
陈书里
陈茜
文劲宇
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Huazhong University of Science and Technology
China Electric Power Research Institute Co Ltd CEPRI
State Grid Fujian Electric Power Co Ltd
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Huazhong University of Science and Technology
China Electric Power Research Institute Co Ltd CEPRI
State Grid Fujian Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067—Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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Abstract

The invention discloses a modeling method and application of a power system dispatching model, which belong to the technical field of power system dispatching, the optimization objective of the constructed power system dispatching model is to minimize the total cost of power system dispatching, and optimization variables comprise the power output power and the heat output power of a cogeneration unit at each moment, and the charge and discharge power of each electric automobile at each moment; the total dispatching cost of the power system is the sum of the total running cost of the cogeneration unit and the total electricity purchasing cost of the electric automobile in the whole time period T minus the sum of the total electricity selling income, the total standby income and the total standby income of the cogeneration unit of the electric automobile in the whole time period T. According to the invention, the standby power available by the cogeneration unit is considered at the source side, the standby power available by the electric vehicle is considered at the load side, a power system scheduling model which simultaneously considers the standby of both sides of the source load is established, the standby flexibility of both sides of the source load is improved, and the power system scheduling flexibility is higher.

Description

Modeling method and application of power system scheduling model
Technical Field
The invention belongs to the technical field of power system scheduling, and particularly relates to a modeling method and application of a power system scheduling model.
Background
Electric power is a necessary product for production and living, and occupies an important position in national economy, and the transmission and distribution of the electric power form the basic form of an electric power system. The power system dispatching realizes safe, economical and reliable supply of power by optimizing and adjusting each link of transmission and distribution. In recent years, with the massive access of renewable energy sources, the volatility and intermittence of the renewable energy sources seriously threaten the safe and stable operation of a power system, so that higher requirements are put on the dispatching of the power system.
In power systems, rotational redundancy is used to quickly provide synchronous capacity in the event of a power generation or transmission system failure to ensure stable operation of the system. With the access of renewable energy sources with high volatility and uncertainty and the increase of electric loads, the standby demand is increased, and higher requirements are put on the redundancy of the standby of the electric power system; however, in the existing power system dispatching, the standby source is often only provided by the traditional thermal power generating unit at the source side, the adjustable margin is smaller, and the ever-increasing standby requirement cannot be met, so that the dispatching flexibility is poor.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides a modeling method and application of a power system scheduling model, which are used for solving the technical problem of poor scheduling flexibility of the existing power system.
To achieve the above object, in a first aspect, the present invention provides a modeling method of a power system scheduling model, including:
in the feasible domain of the cogeneration unit, correspondingly multiplying the positive and negative standby power which can be provided by the cogeneration unit at any moment by the gains of the unit positive and negative standby power provided by the cogeneration unit, and then adding the positive and negative standby power to obtain the standby gains of the cogeneration unit at the moment;
the method comprises the steps of correspondingly multiplying negative and positive standby power which can be provided by any electric automobile at any time and the benefits of the electric automobile for providing unit negative and positive standby power, and then adding the power to obtain the standby benefits of the electric automobile at the time;
based on the electric power output power and the thermal power output power of the cogeneration unit at any time, the running cost of the cogeneration unit at the time is obtained;
when any electric automobile is in a charging state at any moment, multiplying the charging power of the electric automobile by the electricity purchasing price of the electric system at the moment to obtain the electricity purchasing cost of the electric automobile at the moment; when any electric automobile is in a discharging state, multiplying the discharging power of the electric automobile by the selling price of the electric system at the moment to obtain the selling income of the electric automobile at the moment;
subtracting the sum of the total electricity selling gain, the total standby gain and the total standby gain of the electric automobile in the total time period T from the sum of the total operation cost of the total heat and power cogeneration unit and the total electricity purchasing cost of the electric automobile in the total time period T to obtain the total dispatching cost of the electric power system; and establishing a power system dispatching model by taking the minimum total cost of power system dispatching as an optimization target.
Further preferably, the optimization objective of the power system scheduling model is:
wherein,and->Respectively, heat and power cogeneration unittOperating cost and standby income at the moment;Nthe number of the electric automobiles; />Is the firstnElectric automobile of vehicle is attSpare income under the moment; />Is the minimum resolution time interval;
when the first isnElectric automobile of vehicle is attWhen the battery is in a charging state at the moment,is the firstnElectric automobile of vehicle is attThe electricity purchasing cost at the moment; />Is the firstnElectric automobile of vehicle is attCharging power at the moment; />Is an electric power systemtThe electricity purchase price at the moment;
when the first isnElectric automobile of vehicle is attWhen the discharge state is in the time instant,；is the firstnElectric automobile of vehicle is attThe electricity selling income at the moment; />Is the firstnElectric automobile of vehicle is attDischarge power at the moment; />Is an electric power systemtPrice of electricity sold at the moment.
Further preferably, the feasible region of the cogeneration unit is a non-convex feasible region; dividing the feasible domains of the cogeneration unit to obtain a plurality of convex feasible domains, and respectively calculating the cogeneration unit in each convex feasible domaintThe corresponding benefits of the positive and negative standby power can be provided at the moment, and the cogeneration unit is further obtainedtSpare benefit at time；
Combined heat and power unittSpare benefit at timeThe method comprises the following steps:
wherein,Ithe number of convex feasible regions;and->Respectively, heat and power cogeneration unittTime at firstiConvex feasible regionPositive and negative standby power that can be provided; />And->Respectively representtThe cogeneration unit provides the benefit of unit positive and negative standby power at the moment; />And->Maximum positive climbing power and negative climbing power of the cogeneration unit are respectively; />For combined heat and power generation unittThe power output power at the moment; />And->The power output power of the cogeneration unit is +.>Time NoiThe power of each convex feasible region is maximum and minimum.
Further preferably, the cogeneration unittThe running cost at the moment is as follows:
wherein,Ithe number of convex feasible regions;K i is the firstiTotal number of vertices in the convex feasible region;for combined heat and power unitstTime at firstiThe first of the convex feasible domainskCoefficients for each vertex; />Is the heat and power cogeneration unitiThe first of the convex feasible domainskRunning costs at the vertices.
Further preferably, the firstnElectric automobile of vehicle is attSpare benefit at timeThe method comprises the following steps:
wherein,and->Respectively the firstnElectric automobile of vehicle is attNegative and positive standby power which can be provided at the moment; />And->Respectively istThe electric automobile provides the benefit of negative and positive standby power at the moment; />Andrespectively the firstnMaximum charge and discharge power of the electric vehicle; />Is the firstnElectric automobile of vehicle is att-battery level at time 1; />And->Respectively the firstnMaximum and minimum power storage levels for a vehicle electric vehicle battery.
Further preferably, the constraint condition of the power system scheduling model includes: cogeneration unit operation constraints, electric vehicle operation constraints, energy storage operation constraints, power balance constraints, thermodynamic balance constraints, and positive and negative standby power constraints of the power system.
In a second aspect, the present invention provides a modeling apparatus for a power system scheduling model, including:
the standby return obtaining module of the cogeneration unit is used for correspondingly multiplying the positive and negative standby power which can be provided by the cogeneration unit at any moment with the return of the unit positive and negative standby power provided by the cogeneration unit in the feasible region of the cogeneration unit, and then adding the multiplied positive and negative standby power to obtain the standby return of the cogeneration unit at the moment;
the electric automobile standby profit obtaining module is used for correspondingly multiplying the negative and positive standby power which can be provided by any electric automobile at any time and the profits of the unit negative and positive standby power provided by the electric automobile, and then adding the products to obtain the standby profits of the electric automobile at the time;
the operation cost acquisition module of the cogeneration unit is used for acquiring the operation cost of the cogeneration unit at any moment based on the electric power output power and the thermal power output power of the cogeneration unit at any moment;
the electric vehicle electricity purchasing cost acquisition module is used for multiplying the charging power of the electric vehicle with the electricity purchasing price of the electric system at any moment when any electric vehicle is in a charging state to obtain the electricity purchasing cost of the electric vehicle at the moment;
the electric automobile electricity selling benefit obtaining module is used for multiplying the discharge power of the electric automobile with the electricity selling price of the electric power system at any moment when any electric automobile is in a discharge state, so as to obtain the electricity selling benefit of the electric automobile at the moment;
the model building module is used for subtracting the sum of the total electricity selling gain, the total standby gain and the total standby gain of the cogeneration unit of the electric automobile in the total time period T from the sum of the total operation cost of the cogeneration unit and the total electricity purchasing cost of the electric automobile in the total time period T to obtain the total dispatching cost of the electric power system; and establishing a power system dispatching model by taking the minimum total cost of power system dispatching as an optimization target.
In a third aspect, the present invention provides a power system scheduling method, including:
acquiring power system scheduling parameters; wherein the power system scheduling parameters include: the purchase price, the selling price and the heat and power cogeneration unit of the electric power system at each moment in the whole time period T provide the benefits of unit positive and negative standby power and the electric automobile provide the benefits of unit negative and positive standby power;
inputting the power system dispatching parameters into a power system dispatching model for solving to obtain the power output power and the heat output power of the cogeneration unit at each moment and the charge and discharge power of each electric automobile at each moment so as to dispatch the power system;
the power system scheduling model is constructed by adopting the modeling method of the power system scheduling model provided by the first aspect of the invention.
In a fourth aspect, the present invention provides a power system scheduling system, comprising: the power system scheduling method comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the power system scheduling method provided by the third aspect of the invention when executing the computer program.
In a fifth aspect, the present invention provides a power system scheduling apparatus, including:
the acquisition module is used for acquiring the scheduling parameters of the power system; wherein the power system scheduling parameters include: the purchase price, the selling price and the heat and power cogeneration unit of the electric power system at each moment in the whole time period T provide the benefits of unit positive and negative standby power and the electric automobile provide the benefits of unit negative and positive standby power;
the dispatching optimization module is used for inputting the dispatching parameters of the electric power system into an electric power system dispatching model to solve, so as to obtain the electric power output power and the thermal power output power of the cogeneration unit at each moment, and the charging and discharging power of each electric automobile at each moment, so as to dispatch the electric power system;
the power system scheduling model is constructed by adopting the modeling method of the power system scheduling model provided by the first aspect of the invention.
In a sixth aspect, the present invention further provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, where the computer program, when executed by a processor, controls a device where the storage medium is located to execute the modeling method of the power system scheduling model provided in the first aspect of the present invention and/or the power system scheduling method provided in the third aspect of the present invention.
In general, through the above technical solutions conceived by the present invention, the following beneficial effects can be obtained:
1. the invention provides a modeling method of a power system scheduling model, which is characterized in that the available standby power of a cogeneration unit is considered at a source side, the available standby power of an electric vehicle is considered at a load side, a power system scheduling model which simultaneously considers source-load double-side standby is established, the standby power of the source-side cogeneration unit and the electric vehicle at the load side is cooperatively optimized, the standby flexibility of the source-load double-side is improved, and the power system scheduling flexibility is higher.
2. Further, according to the modeling method of the power system dispatching model, the non-convex feasible regions of the cogeneration unit are divided to obtain a plurality of convex feasible regions, and the positive standby power and the negative standby power which can be provided by the cogeneration unit at each moment are calculated in each convex feasible region, so that the calculation precision of the positive standby power and the negative standby power which can be provided by the cogeneration unit in the non-convex feasible regions is improved, and further the dispatching accuracy and the dispatching reliability of the power system are improved.
3. Further, the modeling method of the power system dispatching model fully exploits the capacity of the electric vehicle on the load side for providing positive and negative standby power, obtains standby benefits by providing standby power for the electric system, reduces the total electricity purchasing cost of the electric vehicle by adjusting charging and discharging power, and increases dispatching flexibility for the electric system while reducing the total cost of users of the electric vehicle.
Drawings
Fig. 1 is a flowchart of a modeling method of a power system scheduling model provided in embodiment 1 of the present invention.
Fig. 2 is a segmentation diagram of a non-convex feasible region of a cogeneration machine set provided in embodiment 1 of the present invention.
Fig. 3 is a schematic diagram of positive and negative standby power that can be provided by the cogeneration machine set in a certain convex feasible region according to embodiment 1 of the present invention.
Fig. 4 is a comparison chart of the positive standby power levels that can be provided by the power system in the first and second scenarios according to embodiment 2 of the present invention.
Fig. 5 is a comparison chart of the negative standby power levels that can be provided by the power system in the first and second scenarios according to embodiment 2 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Example 1
A modeling method of a power system scheduling model, comprising:
establishing a power system scheduling model; the power system comprises a power system, wherein a source side of the power system comprises a cogeneration unit, and a load side of the power system comprises an electric automobile; the optimization objective of the power system scheduling model is to minimize the total power system scheduling cost, and the optimization variables include: the power output power and the heat output power of the cogeneration unit at each moment, and the charge and discharge power of each electric automobile at each moment; the total dispatching cost of the electric power system is the sum of the total running cost of the cogeneration unit and the total electricity purchasing cost of the electric vehicle in the whole time period T (the value of the total dispatching cost is 24h in the embodiment), and the sum of the total electricity selling benefit, the total standby benefit and the total standby benefit of the cogeneration unit of the electric vehicle in the whole time period T is subtracted.
As shown in fig. 1, the method specifically includes: in the feasible domain of the cogeneration unit, correspondingly multiplying the positive and negative standby power which can be provided by the cogeneration unit at any moment by the gains of the unit positive and negative standby power provided by the cogeneration unit, and then adding the positive and negative standby power to obtain the standby gains of the cogeneration unit at the moment;
the method comprises the steps of correspondingly multiplying negative and positive standby power which can be provided by any electric automobile at any time and the benefits of the electric automobile for providing unit negative and positive standby power, and then adding the power to obtain the standby benefits of the electric automobile at the time;
based on the electric power output power and the thermal power output power of the cogeneration unit at any time, the running cost of the cogeneration unit at the time is obtained;
when any electric automobile is in a charging state at any moment, multiplying the charging power of the electric automobile by the electricity purchasing price of the electric system at the moment to obtain the electricity purchasing cost of the electric automobile at the moment; when any electric automobile is in a discharging state, multiplying the discharging power of the electric automobile by the selling price of the electric system at the moment to obtain the selling income of the electric automobile at the moment;
subtracting the sum of the total electricity selling gain, the total standby gain and the total standby gain of the electric automobile in the total time period T from the sum of the total operation cost of the total heat and power cogeneration unit and the total electricity purchasing cost of the electric automobile in the total time period T to obtain the total dispatching cost of the electric power system; and establishing a power system dispatching model by taking the minimum total cost of power system dispatching as an optimization target.
Specifically, the optimization objective of the power system scheduling model is:
wherein,and->Respectively, heat and power cogeneration unittOperating cost and standby income at the moment;Nthe number of the electric automobiles; />Is the firstnElectric automobile of vehicle is attSpare income under the moment; />In this embodiment, the value is 1h for the minimum resolution time interval;
when the first isnElectric automobile of vehicle is attWhen the battery is in a charging state at the moment,is the firstnElectric automobile of vehicle is attThe electricity purchasing cost at the moment; />Is the firstnElectric automobile of vehicle is attCharging power at the moment; />Is an electric power systemtThe electricity purchase price at the moment;
when the first isnElectric automobile of vehicle is attWhen the discharge state is in the time instant,；is the firstnElectric vehicleCar seattThe electricity selling income at the moment; />Is the firstnElectric automobile of vehicle is attDischarge power at the moment; />Is an electric power systemtPrice of electricity sold at the moment.
In particular, for standby flexibility, on the source side, the invention considers the standby power available to a cogeneration unit having a non-convex feasible region. Combined heat and power unittSpare benefit at timeIn order to be in a non-convex feasible domain of a cogeneration unit, the cogeneration unittThe sum of the benefits corresponding to the positive and negative standby power which can be provided at the moment.
In an alternative embodiment, as shown in fig. 2, the feasible region of the cogeneration unit is a non-convex feasible region; dividing the feasible domains of the cogeneration unit to obtain a plurality of convex feasible domains, and respectively calculating the cogeneration unit in each convex feasible domaintThe corresponding benefits of the positive and negative standby power can be provided at the moment, and the cogeneration unit is further obtainedtSpare benefit at time。
Specifically, as shown in fig. 3, the cogeneration unittTime at firstiPositive standby power that can be provided by a convex feasible regionAnd negative standby power->The method comprises the following steps of:
wherein,and->The maximum positive climbing power and the maximum negative climbing power of the cogeneration unit are constants larger than 0 respectively; />For combined heat and power generation unittThe power output power at the moment; />And->The power output power of the cogeneration unit is +.>Time NoiThe power of each convex feasible region is maximum and minimum.
Further, cogeneration unittSpare benefit at timeThe method comprises the following steps:
wherein,Ithe number of convex feasible regions;and->Respectively, heat and power cogeneration unittTime at firstiPositive and negative standby power that can be provided by the convex feasible regions; />And->Respectively representtThe cogeneration unit provides the benefit of unit positive and negative standby power at the moment;
correspondingly, cogeneration unittThe running cost at time can be expressed as:
wherein,Ithe number of convex feasible regions;K i is the firstiTotal number of vertices in the convex feasible region;for combined heat and power unitstTime at firstiThe first of the convex feasible domainskCoefficients for each vertex; />Is the heat and power cogeneration unitiThe first of the convex feasible domainskRunning costs at the vertices.
For standby flexibility, on the load side, the electric automobile can be charged or discharged, and the standby power provided by the electric automobile is considered. First, thenElectric automobile of vehicle is attNegative standby power capable of being provided at timeAnd positive standby power->Respectively is that;
wherein,and->Respectively the firstnThe maximum charge and discharge power of the electric automobile is a constant greater than 0; />Is the firstnElectric automobile of vehicle is att-battery level at time 1; />And->Respectively the firstnMaximum and minimum power storage levels for a vehicle electric vehicle battery; />Is the minimum resolved time interval.
Further, the firstnElectric automobile of vehicle is attSpare benefit at timeThe method comprises the following steps:
wherein,and->Respectively the firstnElectric automobile of vehicle is attNegative and positive standby power which can be provided at the moment; />And->Respectively istAnd the electric automobile provides benefits of negative and positive standby power units at the moment.
Further, the power system scheduling model also meets some constraint conditions, and specifically includes: cogeneration unit operation constraints, electric vehicle operation constraints, energy storage operation constraints, power balance constraints, thermodynamic balance constraints, and positive and negative standby power constraints of the power system. In one embodiment, the above constraints are specifically expressed as follows:
1) Operation constraint of cogeneration unit
Wherein,to express astWhether the cogeneration unit operates at the first timeiBinary variables of the convex feasible regions; />Is the heat and power cogeneration unitiThe first of the convex feasible domainskThe power output at the vertices; />Is the heat and power cogeneration unitiThe first of the convex feasible domainskHeat output power at the vertices; />For combined heat and power unitstTime at firstiThe first of the convex feasible domainskCoefficients for each vertex; />For combined heat and power generation unittHeat output power at the moment.
2) Electric automobile operation constraint
Wherein,and->Respectively the firstnElectric automobile of vehicle is attCharging and discharging power at the moment; />And->Respectively the firstnMaximum charge and discharge power of the electric vehicle; />Is the firstnElectric automobile of vehicle is attBattery power level at time; />And->Respectively the firstnCharging and discharging power efficiency of the electric vehicle; />And->Respectively the firstnMaximum and minimum power storage levels for a vehicle electric vehicle battery.
3) Energy storage operation constraint
Wherein,and->Respectively store energy intCharging and discharging power at moment; />And->Respectively the maximum charge and discharge power of the stored energy; />To store energy intA power storage level at the time; />And->Respectively charging and discharging power efficiencies of energy storage; />And->Maximum and minimum power storage levels of stored energy, respectively; />To store the energy at the initial time.
4) Power balance constraint for power system
Wherein,in the electric power systemtThe power of the electric load at the moment.
5) Thermodynamic equilibrium constraint of electric power system
Wherein,in the electric power systemtThermal load power at time.
6) Positive and negative standby power constraints for power systems
Wherein,and->Respectively the power systems are intPositive and negative standby power demand at the moment.
According to the invention, the standby power available to the cogeneration unit with the non-convex feasible region is considered on the source side, the standby power available to the electric automobile is considered on the load side, and meanwhile, the multi-class operation constraint of the electric power system is considered, so that the electric power system scheduling model considering the source-load double-side standby flexibility is obtained. The invention is beneficial to improving the capability of providing spares on both sides of the source load of the power system, improving the sparing flexibility on both sides of the source load, reducing the dispatching operation cost of the system and improving the safety and economy of the system operation.
Example 2
A modeling apparatus of a power system scheduling model, comprising:
the standby return obtaining module of the cogeneration unit is used for correspondingly multiplying the positive and negative standby power which can be provided by the cogeneration unit at any moment with the return of the unit positive and negative standby power provided by the cogeneration unit in the feasible region of the cogeneration unit, and then adding the multiplied positive and negative standby power to obtain the standby return of the cogeneration unit at the moment;
the electric automobile standby profit obtaining module is used for correspondingly multiplying the negative and positive standby power which can be provided by any electric automobile at any time and the profits of the unit negative and positive standby power provided by the electric automobile, and then adding the products to obtain the standby profits of the electric automobile at the time;
the operation cost acquisition module of the cogeneration unit is used for acquiring the operation cost of the cogeneration unit at any moment based on the electric power output power and the thermal power output power of the cogeneration unit at any moment;
the electric vehicle electricity purchasing cost acquisition module is used for multiplying the charging power of the electric vehicle with the electricity purchasing price of the electric system at any moment when any electric vehicle is in a charging state to obtain the electricity purchasing cost of the electric vehicle at the moment;
the electric automobile electricity selling benefit obtaining module is used for multiplying the discharge power of the electric automobile with the electricity selling price of the electric power system at any moment when any electric automobile is in a discharge state, so as to obtain the electricity selling benefit of the electric automobile at the moment;
the model building module is used for subtracting the sum of the total electricity selling gain, the total standby gain and the total standby gain of the cogeneration unit of the electric automobile in the total time period T from the sum of the total operation cost of the cogeneration unit and the total electricity purchasing cost of the electric automobile in the total time period T to obtain the total dispatching cost of the electric power system; and establishing a power system dispatching model by taking the minimum total cost of power system dispatching as an optimization target.
The related technical solution is the same as that of embodiment 1, and will not be described here in detail.
Example 3
A power system scheduling method, comprising:
acquiring power system scheduling parameters; wherein the power system scheduling parameters include: the purchase price, the selling price, the electric load power, the thermodynamic load power and the return of the unit positive and negative standby power provided by the cogeneration unit and the return of the unit negative and positive standby power provided by the electric automobile are provided by the electric system at each moment in the whole time period T;
the power system scheduling parameters are input into the power system scheduling model provided by the embodiment 1 of the invention for solving, so that the power output power and the heat output power of the cogeneration unit at each moment and the charging and discharging power of each electric automobile at each moment are obtained, and the power system is scheduled.
The related technical solution is the same as that of embodiment 1, and will not be described here in detail.
In order to further illustrate the scheduling effect of the power system scheduling model provided by the present invention, the following description is made with reference to a specific embodiment:
and selecting a China local typical load curve as the load requirement of the system, and taking a time-of-use electricity price curve as the electricity purchasing price of the electric automobile charging. The system comprises a cogeneration unit, an energy storage unit, an electric automobile and other main bodies.
In order to compare the advantages of the invention in standby provision and system operation economy, a control variable method is adopted to set two simulation scenes. In the first scenario, the standby available for the cogeneration unit and the electric vehicle does not participate in the dispatching of the electric power system; in a second scenario, the standby available by the cogeneration unit and the electric vehicle participates in power system dispatching; the remaining constraints are the same in scenario one and scenario two.
The magnitude of the positive and negative standby power which can be provided by the system under the first scene and the second scene is obtained through simulation analysis, as shown in fig. 4 and 5. When the power system scheduling model (namely the scene two) considering the source load double-side standby flexibility is adopted, the source load double-side can provide more positive standby power and negative standby power, wherein the available positive standby power is averagely improved by 2.4 percent compared with the scene one, and the available negative standby power is averagely improved by 1.7 percent compared with the scene one, so that the source load double-side standby flexibility is improved.
Further, table 1 shows the total cost of power system operation in scenario one and scenario two;
as can be seen from Table 1, the total cost of the operation of the power system is 1233.0 yuan for the scenario two and 1218.2 yuan for the scenario two, the total cost is reduced by 1.2%, and the economical efficiency of the operation of the system is improved.
According to the invention, the standby power available by the cogeneration unit with the non-convex feasible region is considered at the source side, the standby power available by the electric vehicle is considered at the load side, and the objective function, the operation constraint and the like of system scheduling are considered, so that a power system scheduling model considering the flexibility of source-load double-side standby is established, the problem of insufficient power system standby can be solved, the flexibility of source-load double-side standby is improved, the flexibility of power system scheduling is higher, and the safety and the economical efficiency of system scheduling operation can be further improved.
Example 4
A power system dispatch system comprising: the power system scheduling method provided in embodiment 3 of the present invention includes a memory storing a computer program, and a processor executing the computer program.
The related technical solution is the same as that of embodiment 3, and will not be described here in detail.
Example 5
A power system scheduling apparatus comprising:
the acquisition module is used for acquiring the scheduling parameters of the power system; wherein the power system scheduling parameters include: the purchase price, the selling price and the heat and power cogeneration unit of the electric power system at each moment in the whole time period T provide the benefits of unit positive and negative standby power and the electric automobile provide the benefits of unit negative and positive standby power;
the dispatching optimization module is used for inputting the dispatching parameters of the electric power system into an electric power system dispatching model to solve, so as to obtain the electric power output power and the thermal power output power of the cogeneration unit at each moment, and the charging and discharging power of each electric automobile at each moment, so as to dispatch the electric power system;
the power system scheduling model is constructed by adopting the modeling method of the power system scheduling model provided by the embodiment 1 of the invention.
The related technical solution is the same as that of embodiment 1, and will not be described here in detail.
Example 6
A computer readable storage medium comprising a stored computer program, wherein the computer program, when executed by a processor, controls a device in which the storage medium is located to perform the modeling method of the power system scheduling model provided in embodiment 1 of the present invention and/or the power system scheduling method provided in embodiment 3 of the present invention.
The related technical solutions are the same as embodiment 1 and embodiment 3, and are not described here in detail.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (10)

1. A method for modeling a power system scheduling model, comprising:
in the feasible domain of the cogeneration unit, correspondingly multiplying the positive and negative standby power which can be provided by the cogeneration unit at any moment by the gains of the unit positive and negative standby power provided by the cogeneration unit, and then adding the positive and negative standby power to obtain the standby gains of the cogeneration unit at the moment;
the method comprises the steps of correspondingly multiplying negative and positive standby power which can be provided by any electric automobile at any time and the benefits of the electric automobile for providing unit negative and positive standby power, and then adding the power to obtain the standby benefits of the electric automobile at the time;
based on the electric power output power and the thermal power output power of the cogeneration unit at any time, the running cost of the cogeneration unit at the time is obtained;
when any electric automobile is in a charging state at any moment, multiplying the charging power of the electric automobile by the electricity purchasing price of the electric system at the moment to obtain the electricity purchasing cost of the electric automobile at the moment; when any electric automobile is in a discharging state, multiplying the discharging power of the electric automobile by the selling price of the electric system at the moment to obtain the selling income of the electric automobile at the moment;
subtracting the sum of the total electricity selling gain, the total standby gain and the total standby gain of the electric automobile in the total time period T from the sum of the total operation cost of the total heat and power cogeneration unit and the total electricity purchasing cost of the electric automobile in the total time period T to obtain the total dispatching cost of the electric power system; establishing a power system dispatching model by taking the minimum total cost of power system dispatching as an optimization target;
wherein, cogeneration unittThe running cost at the moment is as follows:
Ithe number of convex feasible regions;K i is the firstiTotal number of vertices in the convex feasible region;for combined heat and power unitstTime at firstiThe first of the convex feasible domainskCoefficients for each vertex; />Is the heat and power cogeneration unitiThe first of the convex feasible domainskRunning costs at the vertices.
2. The modeling method of a power system scheduling model according to claim 1, wherein the optimization objective of the power system scheduling model is:
wherein,and->Respectively, heat and power cogeneration unittOperating cost and standby income at the moment;Nthe number of the electric automobiles; />Is the firstnElectric automobile of vehicle is attSpare income under the moment; />Is the minimum resolution time interval;
when the first isnElectric automobile of vehicle is attWhen the battery is in a charging state at the moment,is the firstnElectric automobile of vehicle is attThe electricity purchasing cost at the moment; />Is the firstnElectric automobile of vehicle is attCharging power at the moment; />Is an electric power systemtThe electricity purchase price at the moment;
when the first isnElectric automobile of vehicle is attWhen the discharge state is in the time instant,；/>is the firstnElectric automobile of vehicle is attThe electricity selling income at the moment; />Is the firstnElectric automobile of vehicle is attDischarge power at the moment;is an electric power systemtPrice of electricity sold at the moment.
3. The modeling method of a power system scheduling model according to claim 2, wherein a feasible region of the cogeneration unit is a non-convex feasible region; cogeneration machineDividing the feasible regions of the group to obtain a plurality of convex feasible regions, and respectively calculating the cogeneration unit in each convex feasible regiontThe corresponding benefits of the positive and negative standby power can be provided at the moment, and the cogeneration unit is further obtainedtSpare benefit at time；
Combined heat and power unittSpare benefit at timeThe method comprises the following steps:
wherein,Ithe number of convex feasible regions;and->Respectively, heat and power cogeneration unittTime at firstiPositive and negative standby power that can be provided by the convex feasible regions; />And->Respectively representtThe cogeneration unit provides the benefit of unit positive and negative standby power at the moment; />And->Maximum positive climbing power and negative climbing power of the cogeneration unit are respectively; />For combined heat and power generation unittThe power output power at the moment; />And->The power output power of the cogeneration unit is +.>Time NoiThe power of each convex feasible region is maximum and minimum.
4. Modeling method of a power system scheduling model according to claim 2, characterized in that the firstnElectric automobile of vehicle is attSpare benefit at timeThe method comprises the following steps:
wherein,and->Respectively the firstnElectric automobile of vehicle is attNegative and positive standby power which can be provided at the moment; />And->Respectively istThe electric automobile provides the benefit of negative and positive standby power at the moment; />And->Respectively the firstnMaximum charge and discharge power of the electric vehicle; />Is the firstnElectric automobile of vehicle is att-battery level at time 1; />And->Respectively the firstnMaximum and minimum power storage levels for a vehicle electric vehicle battery.
5. The modeling method of a power system scheduling model according to any one of claims 1 to 4, wherein the constraint condition of the power system scheduling model includes: cogeneration unit operation constraints, electric vehicle operation constraints, energy storage operation constraints, power balance constraints, thermodynamic balance constraints, and positive and negative standby power constraints of the power system.
6. A modeling apparatus for a power system scheduling model, comprising:
the standby return obtaining module of the cogeneration unit is used for correspondingly multiplying the positive and negative standby power which can be provided by the cogeneration unit at any moment with the return of the unit positive and negative standby power provided by the cogeneration unit in the feasible region of the cogeneration unit, and then adding the multiplied positive and negative standby power to obtain the standby return of the cogeneration unit at the moment;
the electric automobile standby profit obtaining module is used for correspondingly multiplying the negative and positive standby power which can be provided by any electric automobile at any time and the profits of the unit negative and positive standby power provided by the electric automobile, and then adding the products to obtain the standby profits of the electric automobile at the time;
the operation cost acquisition module of the cogeneration unit is used for acquiring the operation cost of the cogeneration unit at any moment based on the electric power output power and the thermal power output power of the cogeneration unit at any moment;
the electric vehicle electricity purchasing cost acquisition module is used for multiplying the charging power of the electric vehicle with the electricity purchasing price of the electric system at any moment when any electric vehicle is in a charging state to obtain the electricity purchasing cost of the electric vehicle at the moment;
the electric automobile electricity selling benefit obtaining module is used for multiplying the discharge power of the electric automobile with the electricity selling price of the electric power system at any moment when any electric automobile is in a discharge state, so as to obtain the electricity selling benefit of the electric automobile at the moment;
the model building module is used for subtracting the sum of the total electricity selling gain, the total standby gain and the total standby gain of the cogeneration unit of the electric automobile in the total time period T from the sum of the total operation cost of the cogeneration unit and the total electricity purchasing cost of the electric automobile in the total time period T to obtain the total dispatching cost of the electric power system; establishing a power system dispatching model by taking the minimum total cost of power system dispatching as an optimization target;
wherein, cogeneration unittThe running cost at the moment is as follows:
Ithe number of convex feasible regions;K i is the firstiTotal number of vertices in the convex feasible region;for combined heat and power unitstTime at firstiThe first of the convex feasible domainskCoefficients for each vertex; />Is the heat and power cogeneration unitiEach convex is feasibleField 1kRunning costs at the vertices.
7. A power system scheduling method, comprising:
acquiring power system scheduling parameters; the power system scheduling parameters include: the purchase price, the selling price and the heat and power cogeneration unit of the electric power system at each moment in the whole time period T provide the benefits of unit positive and negative standby power and the electric automobile provide the benefits of unit negative and positive standby power;
inputting the power system dispatching parameters into a power system dispatching model for solving to obtain the power output power and the heat output power of the cogeneration unit at each moment and the charge and discharge power of each electric automobile at each moment so as to dispatch the power system;
the power system scheduling model is constructed by adopting the modeling method of the power system scheduling model according to any one of claims 1-5.
8. A power system dispatch system, comprising: a memory storing a computer program and a processor that when executed performs the power system scheduling method of claim 7.
9. An electrical power system scheduling apparatus, comprising:
the acquisition module is used for acquiring the scheduling parameters of the power system; the power system scheduling parameters include: the purchase price, the selling price and the heat and power cogeneration unit of the electric power system at each moment in the whole time period T provide the benefits of unit positive and negative standby power and the electric automobile provide the benefits of unit negative and positive standby power;
the dispatching optimization module is used for inputting the dispatching parameters of the electric power system into an electric power system dispatching model to solve, so as to obtain the electric power output power and the thermal power output power of the cogeneration unit at each moment, and the charging and discharging power of each electric automobile at each moment, so as to dispatch the electric power system;
the power system scheduling model is constructed by adopting the modeling method of the power system scheduling model according to any one of claims 1-5.
10. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program, when being executed by a processor, controls a device in which the storage medium is located to perform the modeling method of the power system scheduling model according to any one of claims 1-5 and/or the power system scheduling method according to claim 7.
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