CN112288242B - Distributed energy resource sharing service resource matching method based on idle quantity aggregation - Google Patents

Distributed energy resource sharing service resource matching method based on idle quantity aggregation Download PDF

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CN112288242B
CN112288242B CN202011118041.2A CN202011118041A CN112288242B CN 112288242 B CN112288242 B CN 112288242B CN 202011118041 A CN202011118041 A CN 202011118041A CN 112288242 B CN112288242 B CN 112288242B
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叶强
胥威汀
程超
陈博
王海燕
唐权
邓盈盈
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State Grid Sichuan Economic Research Institute
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Abstract

The invention discloses a distributed energy resource sharing service resource matching method based on idle quantity aggregation, which comprises the steps of firstly constructing a service architecture and a service flow taking a distributed energy resource sharing service provider as a core, and carrying out specification on the working contents of all participating bodies in different service stages to establish an energy idle quantity supply model and an energy demand model; establishing a supply and demand matching mechanism and a pricing mechanism based on an energy idle quantity supply model and an energy demand model; the invention comprehensively considers the economic benefits and market behaviors of each participating main body, aggregates the idle capacity of distributed energy equipment on each time period market and provides corresponding energy for energy demand users, improves the utilization rate of the energy equipment, meets the energy demand of each user, and promotes the balance of energy supply and the gradient utilization of energy in a park.

Description

Distributed energy resource sharing service resource matching method based on idle quantity aggregation
Technical Field
The invention belongs to the field of resource distribution and power market, and particularly relates to a distributed energy resource sharing service resource matching method based on idle quantity aggregation.
Background
However, the existing fossil resource storage capacity of the earth is estimated and will be exhausted in the near future, so that the development and utilization of new energy and the improvement of the utilization efficiency of the existing energy become key problems discussed in various circles of society.
The distributed energy is an energy comprehensive utilization system at the user side, can provide power, heat, cold and other energy supplies for users, has the advantages of realizing energy gradient utilization, consuming clean energy on site and the like, and is an important method for solving the problem of energy shortage. The distributed energy system mainly comprises equipment such as an energy storage unit and a combined cooling heating and power unit, although the equipment manufacturing technology and an operation model are mature, the overall benefit of the system is low due to the problem that the utilization rate of user equipment is low due to different ownership of the distributed energy equipment, further development of the distributed energy equipment is hindered, and the last kilometer between the theoretical technology of distributed energy and actual popularization is not opened.
The sharing economy breaks through the limitation of the traditional business model, improves the utilization rate of idle resources by sharing the use right of the idle resources, creates additional economic value, and is widely developed and has great success in a plurality of fields such as travel, tourism and lodging. The sharing economic concept is applied to the park distributed energy market, a park distributed energy sharing service mode based on idle quantity aggregation is provided, the utilization rate of distributed energy equipment can be greatly improved by aggregating the capacity of the park user idle distributed energy equipment and providing required energy for demand users, additional social value is created, and the sustainable development of the society is promoted.
Disclosure of Invention
In view of the above technical problems, an object of the present invention is to provide a distributed energy resource sharing service resource matching method based on idle quantity aggregation, which aggregates idle capacities of distributed energy devices in each time period market and provides corresponding energy resources for energy demand users by establishing a service mode with a distributed energy resource sharing service provider as a core and comprehensively considering economic benefits and market behaviors of each participating subject, so that the utilization rate of the distributed energy devices is improved while meeting the energy demand of demand users, and energy supply balance and energy cascade utilization in a park are promoted.
The invention is realized by the following technical scheme:
a distributed energy resource sharing service resource matching method based on idle amount aggregation comprises the following steps:
step S1, designing a service architecture with a distributed energy resource sharing service provider as a core;
step S2, constructing a service flow of the distributed energy resource sharing service, and standardizing the work content of each participating subject in different service stages;
step S3, analyzing market behaviors of a supply side user and a demand side user in the distributed energy sharing service, and establishing a distributed energy idle quantity supply model of a supply side user agent and an energy demand model of a demand side user agent;
step S4, establishing a supply and demand matching mechanism and a pricing mechanism of a service provider agent based on a distributed energy idle quantity supply model and an energy demand model of a user agent;
and step S5, designing a charge settlement mechanism of the distributed energy sharing service, completing the charge settlement among the service provider, the supply and demand side users and the electricity selling enterprises, and providing support for reasonable distribution of energy.
The further optimization scheme is that the service architecture with the distributed energy resource sharing service provider as a core in step S1 specifically includes: a participating agent, an equipment agent, a supply side user agent, a demand side user agent and a service provider agent;
the participation main body comprises a service provider, a supply side user and a demand side user, and a novel energy supply and supply service mode which takes a distributed energy sharing service provider as a core and is simultaneously oriented to an energy supply side user and an energy demand side user; wherein the supplier-side users obtain revenue by sharing spare distributed energy equipment capacity to the facilitator; the service provider utilizes the idle distributed energy equipment capacity to produce energy and sell the energy to the user at the demand side, and the service provider obtains economic income by dividing the energy selling profit of the user at the supply side;
the equipment agent measures and controls the output of the energy equipment, acquires energy information for the load equipment, and communicates with a supply side user agent and a demand side user agent;
the supply side user agent can communicate with a plurality of equipment agents and service provider agents owned by the user, and the decision of the idle quantity of the energy equipment is completed according to the energy consumption curve input by the user;
the demand side user agent can communicate with a plurality of equipment agents and service provider agents owned by the user, and carries out energy purchase quantity decision work according to an energy consumption curve input by the user and the highest energy acceptance price;
and the service provider agent carries out energy price formulation and energy production control work through the idle energy equipment amount submitted by each supply side user agent and the energy demand amount submitted by a plurality of demand side user agents.
The further optimization scheme is that the service flow in step S2 specifically includes:
a clause specification stage: after the distributed energy service provider publishes the service terms, the supply side user and the demand side user receive the service terms, sign corresponding contracts and install the proxy device;
an idle resource submitting stage: a supply side user inputs a load curve of a running day to an agent of the supply side user, the supply side user agent makes a distributed energy equipment output strategy and submits idle capacity information of each equipment in different time periods to a service provider agent;
energy pricing and purchasing stage: the demand side user agent makes an energy purchase quantity decision according to a load curve input by a user and the highest acceptable energy price and submits the energy purchase quantity decision to the service provider agent; the service provider agent makes a decision to make an idle capacity output strategy of the distributed energy equipment according to the energy purchase amount provided by the user agent at the demand side, and publishes the energy price after accounting the cost; the demand side user agent revises the energy demand again after receiving the energy price, and the service provider recalculates the cost and the energy price according to the revised energy demand; finally, the energy price and the demand are not changed any more;
and (3) actual operation stage: and the service provider agent issues a distributed energy equipment idle capacity use strategy to each supply side user agent according to the idle capacity output strategy, and the supply side user agent combines the idle capacity use strategy with the output strategy of the distributed energy equipment and issues a regulation and control output command to the corresponding equipment agent.
And (3) settlement stage: each participating principal settles the associated fee at this stage.
The further optimization scheme is that the specific process of establishing the distributed energy resource idle quantity supply model of the supply-side user agent in step S3 is as follows:
the output strategy of each distributed energy resource device is formulated according to an energy consumption curve input by a user, the distributed energy resource idle supply quantity vector of the user on the operation day is obtained by combining the actual installed capacity of the distributed energy resource device of the user, and the distributed energy resource idle quantity vector of the ith supply side user agent is expressed by adopting the following formula:
Figure BDA0002730999350000031
wherein,
Figure BDA0002730999350000032
the idle capacity of the combined cooling heating and power unit is a time period t;
Figure BDA0002730999350000033
the idle capacity of the photovoltaic equipment is a time period t;
Figure BDA0002730999350000034
the idle capacity of the electric refrigerator is t;
Figure BDA0002730999350000035
the idle capacity of the gas boiler is a time period t; eiAnd PiRespectively the idle storage capacity and the idle power capacity of the energy storage equipment;
wherein:
Figure BDA0002730999350000036
wherein,
Figure BDA0002730999350000037
rated installed capacities of a combined cooling heating and power unit, photovoltaic equipment, an electric refrigerator and a gas boiler are respectively set;
Figure BDA0002730999350000038
output values of a combined cooling heating and power unit, photovoltaic equipment, an electric refrigerator and a gas boiler in each time period are respectively; etaPV.tIs the photovoltaic power ratio of the area where the user is located in the time period t.
The further optimization scheme is that the specific process of establishing the energy demand model of the demand side user agent in step S3 is as follows:
and S31, calculating the electric energy demand, wherein the calculation formula is as follows:
Figure BDA0002730999350000039
wherein,
Figure BDA00027309993500000310
the electric energy demand submitted to the service provider agent by the jth demand side user agent;
Figure BDA00027309993500000311
is the actual energy load of the jth user.
And S32, calculating the heat energy demand, wherein the calculation formula is as follows:
Figure BDA0002730999350000041
wherein,
Figure BDA0002730999350000042
is the jth demand sideThe heat energy demand submitted by the user agent to the service agent;
Figure BDA0002730999350000043
actual heat energy load for the jth user; piheat is the heat energy price published by the service provider agent;
Figure BDA0002730999350000044
setting the highest heat energy bearing price for the jth user;
s33, calculating the cooling energy demand, wherein the calculation formula is as follows:
Figure BDA0002730999350000045
wherein,
Figure BDA0002730999350000046
the cold energy demand submitted to the service agent for the jth user agent on the demand side;
Figure BDA0002730999350000047
the actual cold energy load of the jth user; picoldA cold energy price published for a service provider agent;
Figure BDA0002730999350000048
the highest cold energy bearing price set for the jth user.
The further optimization scheme is that the specific process of establishing the supply and demand matching mechanism of the service provider agent in step S4 is as follows:
s41.1, arranging the distributed energy equipment idle capacity submitted by a supply side user agent and the energy demand submitted by a demand side user agent;
the service provider agent receives the available capacity of the distributed energy equipment, and the available capacity is expressed by adopting a formula:
[PCCHP.t.max,PPV.t.max,PER.t.max,HGH.t.max,Ek,Pk]
wherein, PCCHP.t.max、PPV.t.max、PER.t.max、HGH.t.maxCapacities of a combined cooling heating and power unit, a photovoltaic unit, an electric refrigerator unit and a gas boiler unit which can be called by a service provider in a time period t are respectively received;
Ekand PkFor the idle capacity of the kth energy storage device, the formula is adopted to express that:
Figure BDA0002730999350000049
the energy demand received by the service provider agent is expressed by the formula:
Figure BDA0002730999350000051
wherein, Pneed.t、Hneed.t、Dneed.tRespectively the electric energy/heat energy/cold energy demand received by the service provider agent;
s41.2, establishing an optimization model by taking the maximum energy satisfaction rate of the demand side as a target to obtain the maximum energy satisfaction rate of the demand side, wherein the target function is as follows:
Figure BDA0002730999350000052
wherein alpha ist、βt、γtThe electric energy satisfaction rate, the heat energy satisfaction rate and the cold energy satisfaction rate of the demand side are respectively expressed by the following formulas:
Figure BDA0002730999350000053
Figure BDA0002730999350000054
Figure BDA0002730999350000055
wherein, Pelebuy.tThe electricity purchasing quantity from the service provider to the electricity selling enterprises in the t period; pCCHP.t、PPV.t、PER.tRespectively is the electric output of the combined cooling heating and power unit/photovoltaic unit/electric refrigerator unit in t time period; hCCHP.t、HGH.tRespectively the thermal output of the combined cooling heating and power unit/gas boiler unit at t time period; dCCHP.t、DER.tRespectively the cold output of the combined cooling heating and power unit/the electric refrigerating machine unit at t time period;
Figure BDA0002730999350000057
and
Figure BDA0002730999350000058
charging/discharging power respectively corresponding to the idle capacity of the kth energy storage device;
the constraint conditions comprise idle capacity output constraint, energy conversion constraint and total energy output constraint of each distributed energy device, the total energy output constraint is that the supply quantity and the demand quantity of electricity/heat/cold energy production are smaller than the demand quantity of a demand side user, and the constraint conditions are expressed by a formula:
Figure BDA0002730999350000056
0≤HCCHP.t+HGH.t≤Hneed.t
0≤DCCHP.t+DER.t≤Dneed.t。
s41.3, establishing an optimization model by taking the minimum energy supply cost as a target to obtain an output strategy and an idle energy storage capacity acquisition strategy of each distributed energy device, wherein the target function is as follows:
minCele+Cgas+CSG
wherein, CeleThe cost of purchasing electrical energy from electricity vendors for service providers; cgasNatural gas costs spent for production using the distributed energy facility spare capacity; cSGThe cost of purchasing idle energy storage resources for service providers is expressed by the following formula:
Figure BDA0002730999350000061
Figure BDA0002730999350000062
CSG＝∑k(πEEk+πPPk)
wherein, piele.tThe time interval of the area is the electricity price; pigasIs the natural gas price; piEAnd piPLease prices per unit storage capacity/power capacity of the energy storage device, respectively; fbuy.tThe amount of natural gas required to be purchased for the service provider to produce energy;
the constraint conditions comprise output constraint of idle capacity of the energy conversion equipment, energy conversion constraint, charge and discharge constraint of the energy storage equipment and energy balance constraint; the energy balance constraint ensures that the production supply amount and the consumption amount of the energy are consistent, and the following formula is adopted for expression:
Figure BDA0002730999350000063
HCCHP.t+HGH.t＝βtHneed.t
DCCHP.t+DER.t＝γtDneed.t。
the further optimization scheme is that the specific process of establishing the energy pricing mechanism in step S4 is as follows:
s42.1, accounting the electric energy supply cost to obtain the comprehensive unit power supply cost, and expressing by adopting a formula:
Figure BDA0002730999350000064
wherein k is1πele.tThe unit power generation cost k of the combined cooling heating and power unit1(0＜k1Less than 1) is a power generation cost calibration coefficient;
s42.2, based on the energy conversion relation between the power supply cost of the comprehensive unit and the distributed energy equipment, accounting the heat energy and cold energy supply cost to obtain the heat supply and cold supply cost of the comprehensive unit, and the heat supply and cold supply cost is expressed by a formula:
Figure BDA0002730999350000065
Figure BDA0002730999350000066
wherein,
Figure BDA0002730999350000071
and
Figure BDA0002730999350000072
the energy is respectively the electric energy and the heat energy which can be produced by the combined cooling heating and power unit in each cubic natural gas;
Figure BDA0002730999350000073
the heat energy which can be generated by each cubic of natural gas of the gas boiler unit;
Figure BDA0002730999350000074
the cooling energy which can be produced by the combined cooling heating and power unit per cubic natural gas is the most;
s42.3 pricing energy price based on energy supply cost, wherein for electric energy, the electricity price is the electricity price pi of the area in the time periodele.tPlays the role of anchoring, and has a unit heat energy price of pi for heat/cold energyheatAnd price per unit of cold energy picoldCost and profit coefficient k for heat/cold supply from integrated unit2And k3Obtaining, and expressing by using a formula:
Figure BDA0002730999350000075
the further optimization scheme is that the specific process of establishing the fee settlement mechanism between the service provider, the user at the supply and demand side and the electricity selling enterprise in the step S5 is as follows:
s5.1, analyzing the fund relation between the distributed energy resource sharing service provider and the demand side user, and paying the cost T to the service provider from the aspect of energy purchase cost to the demand side user jjAnd (3) carrying out quantification, and expressing by using a formula:
Figure BDA0002730999350000076
s5.2, analyzing the fund relationship between the distributed energy sharing service provider and the supply side user, and paying the cost T to the supply side user i from the four aspects of energy sale profit division, energy storage rental cost, natural gas consumption cost and electricity purchasing collection costiQuantization is performed, and is expressed by the following formula:
Figure BDA0002730999350000077
energy sale profit sharing
Figure BDA0002730999350000078
The output ratio of the distributed energy resource equipment of the supply side user i is expressed by the following formula:
Figure BDA0002730999350000079
wherein k is4The share ratio of the supply side user and the service provider; p isi、Hi、DiThe electricity/heat/cold output values of the distributed energy devices, which are respectively supply-side users i, are expressed by the following formulas:
Figure BDA0002730999350000081
energy storage rental fee
Figure BDA0002730999350000082
The method is related to the purchase quantity of the energy storage resources and is expressed by the following formula:
Figure BDA0002730999350000083
cost of natural gas consumption
Figure BDA0002730999350000084
And the electricity purchasing collection fee
Figure BDA0002730999350000085
The following formula is adopted:
Figure BDA0002730999350000086
s5.3, analyzing the fund relationship between the distributed energy sharing service provider and the electricity selling enterprises, and paying the cost T to the electricity selling enterprises from the aspect of electricity purchasing cost to the service providerPEQuantization is performed, and is expressed by the following formula:
Figure BDA0002730999350000087
the invention has the following advantages and beneficial effects:
according to the invention, through establishing a service mode taking a distributed energy sharing service provider as a core and comprehensively considering the economic benefits and market behaviors of all participating main bodies, the idle capacities of distributed energy equipment in the market at all time intervals are aggregated and corresponding energy is provided for energy demand users, so that the utilization rate of the distributed energy equipment is improved, the energy demand of the demand users is met, and the energy supply balance and the energy cascade utilization of a park are promoted.
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The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic view of a service mode topology of the present invention;
FIG. 3 is a schematic diagram of the coordination relationship between the proxy devices according to the present invention;
FIG. 4 is a schematic diagram of the device spare capacity of the user on the supply side in the present invention;
FIG. 5 is a schematic diagram of energy demand of a demand side user according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and the accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not used as limiting the present invention.
Examples
As shown in fig. 1, the topology of distributed energy sharing service provides a resource matching method of distributed energy sharing service based on idle amount aggregation;
(1) a participating main body of the distributed energy resource sharing service is sorted and analyzed, and a service architecture taking a distributed energy resource sharing service provider as a core is designed; as shown in fig. 2, the service architecture includes:
(11) on the participation subject layer, the distributed energy resource sharing service mode takes a distributed energy resource sharing service provider as a core, and simultaneously faces to a novel energy supply service mode of park distributed energy resource equipment idle users (supply side users) and park energy resource demand users (demand side users). In this model, the supplier-side users share the spare capacity of the distributed energy equipment to the service providers to obtain revenue, and the service providers use the spare distributed energy equipment to produce energy and sell the energy to the demand-side users to obtain economic revenue by sharing the profit with the supply-side users.
(12) On the proxy device level, referring to the cooperative relationship between proxy devices shown in fig. 3, the device proxy has functions of measuring and controlling the output of the energy device, collecting energy information for the load device, and the like, and can communicate with the user proxy; the user agent at the supply side can communicate with a plurality of equipment agents and service provider agents owned by the user, and can complete the decision of the idle quantity of the energy equipment according to the energy consumption curve input by the user; the user agent at the demand side can communicate with a plurality of equipment agents and service provider agents owned by the user, and carries out energy purchase amount decision work according to an energy consumption curve and the highest energy acceptance price input by the user; and the service provider agent carries out work such as energy price formulation, energy production control and the like through the idle energy equipment amount submitted by each supply side user agent and the energy demand amount submitted by a plurality of demand side user agents.
(2) The method for constructing the service flow of the distributed energy sharing service is used for clarifying the work which should be completed by each participating subject in different stages, and specifically comprises the following steps:
(21) a clause specification stage: in this stage, the service terms are first published by the distributed energy service provider, and then the supplier-side user and the demand-side user can accept the terms and contract accordingly to install the agent device.
(22) An idle resource submission stage: and the idle resources are submitted to a day-ahead stage, in the day-ahead stage, a supply side user inputs a load curve of a running day to a user agent of the supply side user, the user agent makes a distributed energy equipment output strategy and submits idle capacity information of each equipment in different time periods to a service provider agent.
(23) And an energy pricing purchasing stage, namely the energy pricing purchasing stage is a day-ahead stage, and in the energy pricing purchasing stage, the demand side user agent makes a decision on energy purchasing quantity according to a load curve input by a user and the highest acceptable energy price and submits the decision to the service provider agent. And then, the service provider agent makes an output strategy of the idle capacity of the distributed energy equipment according to the demand, and publishes the energy price after accounting the cost. In addition, the user agent at the demand side can revise the energy demand again after receiving the energy price, and the service provider needs to recalculate the cost and the energy price, and the steps are repeated until the energy price and the demand are not changed.
(24) And (3) an actual operation stage: the actual operation stage is a day-middle stage, and in the day-middle stage, the service provider agent issues a use strategy of the idle capacity of the distributed energy equipment to each supply side user agent according to the idle capacity submission proportion. The user agent at the supply side combines the idle capacity use strategy and the idle distributed equipment output strategy and issues a command regulation output to the corresponding equipment agent.
(25) And (3) settlement stage: the settlement stage is a later stage in which each participating subject performs settlement of the associated fee.
(3) Analyzing market behaviors of supply side users in a distributed energy sharing service participation main body, and establishing a distributed energy idle quantity supply model of a supply side user agent:
the idle supply amount of the distributed energy sources of the ith supply-side user agent is expressed by the following formula:
Figure BDA0002730999350000101
wherein,
Figure BDA0002730999350000102
the idle capacity of the combined cooling heating and power unit is a time period t;
Figure BDA0002730999350000103
the idle capacity of the photovoltaic equipment is a time period t;
Figure BDA0002730999350000104
the idle capacity of the electric refrigerator is t;
Figure BDA0002730999350000105
the idle capacity of the gas boiler is a time period t; eiAnd PiRespectively, the idle storage capacity and the idle power capacity of the energy storage equipment adopt the following formulaThe formula is as follows:
Figure BDA0002730999350000106
wherein,
Figure BDA0002730999350000107
rated installed capacities of a combined cooling heating and power unit, photovoltaic equipment, an electric refrigerator and a gas boiler are respectively set;
Figure BDA0002730999350000108
output values of a combined cooling heating and power unit, photovoltaic equipment, an electric refrigerator and a gas boiler in each time period are respectively; etaPV.t is the photovoltaic power ratio of the area where the user is located in the time period t and is related to factors such as the illumination intensity and the like.
In this embodiment, the charging amount of the distributed energy resource equipment of each user is shown in the following table, in which users 1, 2, and 3 are supply-side users.
Figure BDA0002730999350000109
Figure BDA0002730999350000111
(4) Analyzing market behaviors of demand side users participating in a main body of the distributed energy resource sharing service, and establishing an energy demand model of a demand side user agent:
(41) for the electric energy demand, the electric energy demand of the demand side user agent submitted to the service provider agent in the time period t is the actual electric energy load of the user, and is expressed by the following formula:
Figure BDA0002730999350000112
wherein,
Figure BDA0002730999350000113
the electric energy demand submitted to the service provider agent by the jth demand side user agent;
Figure BDA0002730999350000114
the actual electric energy load of the jth user.
(42) For the heat energy demand, the heat energy demand of the demand-side user agent submitted to the service provider agent in the time period t needs to consider the highest heat energy bearing price of the user, and is expressed by the following formula:
Figure BDA0002730999350000115
wherein,
Figure BDA0002730999350000116
the heat energy demand submitted to the service agent for the jth demand side user agent;
Figure BDA0002730999350000117
actual heat energy load for jth user; piheatA heat energy price published for a facilitator agent;
Figure BDA0002730999350000118
the highest heat energy bearing price set for the jth user.
(43) For the cold energy demand, the highest cold energy bearing price of the user needs to be considered in the cold energy demand of the demand-side user agent submitted to the service provider agent in the time period t, and the maximum cold energy bearing price is expressed by the following formula:
Figure BDA0002730999350000119
wherein,
Figure BDA0002730999350000121
the cold energy demand submitted to the service provider agent for the jth demand side user agent;
Figure BDA0002730999350000122
the actual cold energy load of the jth user; picold is the cold energy price published by the service provider agent;
Figure BDA0002730999350000123
the highest cold energy bearing price set for the jth user.
(5) Establishing a supply and demand matching mechanism and a pricing mechanism of a service provider agent, and specifically comprising the following steps of:
(51) establishing a supply and demand matching mechanism, which comprises the following specific processes:
firstly, the idle capacity of the distributed energy equipment submitted by a supply side user agent and the energy demand submitted by a demand side user agent are sorted. The available capacity of the distributed energy equipment received by the service provider agent is represented by the following formula:
[PCCHP.t.max,PPV.t.max,PER.t.max,HGH.t.max,Ek,Pk]
wherein, PCCHP.t.max、PPV.t.max、PER.t.max、HGH.t.maxCapacities of a combined cooling heating and power unit, a photovoltaic unit, an electric refrigerator unit and a gas boiler unit which can be called in the time period t and are received by a service provider respectively; ekAnd PkThe idle capacity of the kth energy storage device is expressed by the following formula:
Figure BDA0002730999350000124
the energy demand received by the service provider agent is expressed by the following formula:
Figure BDA0002730999350000125
wherein, Pneed.t、Hneed.t、Dneed.tRespectively the electric/thermal/cold energy demand received by the service provider agency.
In this embodiment, the two energy storage idle capacity resource parameters received by the service agent are: storage capacity 987.4kWh, power capacity 276.2 kW; storage capacity 631.3kWh, power capacity 238.2 kW. Other distributed energy device spare capacity referring to fig. 4, user energy demand referring to fig. 5.
And then, establishing an optimization model by taking the maximum energy satisfaction rate of the demand side as a target to obtain the maximum energy satisfaction rate of the demand side.
The objective function is:
maxΣt＝1αt+βt+γt
wherein alpha ist、βt、γtThe electricity/heat/cold energy satisfaction rates of the demand side are respectively expressed by the following formulas:
Figure BDA0002730999350000131
Figure BDA0002730999350000132
Figure BDA0002730999350000133
wherein, Pelebuy.tThe electricity purchasing quantity from the service provider to the electricity selling enterprises in the t period; p isCCHP.t、PPV.t、PER.tRespectively is the electric output of the combined cooling heating and power unit/photovoltaic unit/electric refrigerator unit in t time period; hCCHP.t、HGH.tRespectively the thermal output of the combined cooling heating and power unit/gas boiler unit at t time period; dCCHP.t、DER.tRespectively the cold output of the combined cooling heating and power unit/electric refrigerator unit in the t time period;
Figure BDA0002730999350000134
and
Figure BDA0002730999350000135
respectively the charge/discharge power of the idle capacity of the kth energy storage equipment.
The constraint conditions include an idle capacity output constraint, an energy conversion constraint and a total energy output constraint of each distributed energy device. The total energy output constraint is that the supply quantity and the demand quantity of the electricity/heat/cold energy production are smaller than the demand quantity of the demand side user, and the total energy output constraint is expressed by the following formula:
Figure BDA0002730999350000136
0≤HCCHP.t+HGH.t≤Hneed.t
0≤DCCHP.t+DER.t≤Dneed.t
and secondly, establishing an optimization model with the minimum energy supply cost as a target to obtain an output strategy of the idle capacity of each distributed energy device and an idle energy storage capacity acquisition strategy. The objective function is:
minCele+Cgas+CSG
wherein, CeleThe cost of purchasing electrical energy from electricity vendors for service providers; cgasNatural gas costs of consumption using the distributed energy facility idle capacity; cSGThe cost of purchasing idle energy storage resources for service providers is expressed by the following formula:
Figure BDA0002730999350000137
Figure BDA0002730999350000138
CSG＝∑k(πEEk+πPPk)
wherein, piele.tThe time interval of the area is the electricity price; pigasIs the natural gas price; piEAnd piPRespectively a unit storage capacity of the energy storage equipmentLease price for volume/power capacity; fbuy.tThe amount of natural gas required to be purchased for energy production by a service provider.
The constraint conditions comprise output constraint of idle capacity of the energy conversion equipment, energy conversion constraint, charge and discharge constraint of the energy storage equipment and energy balance constraint. The energy balance constraint ensures that the production supply amount and the consumption amount of the energy are consistent, and the energy balance constraint is expressed by the following formula:
Figure BDA0002730999350000141
HCCHP.t+HGH.t＝βtHneed.t
DCCHP.t+DER.t＝γtDneed.t
(52) the establishment process of the energy pricing mechanism comprises the following steps:
firstly, accounting the power supply cost to obtain the comprehensive unit power supply cost, and expressing the comprehensive unit power supply cost by adopting a formula:
Figure BDA0002730999350000142
wherein k is1πele.tThe unit power generation cost k of the combined cooling heating and power unit1(0＜k1Less than 1) is a power generation cost calibration coefficient.
Then, based on the energy conversion relation between the comprehensive unit power supply cost and the distributed energy equipment, the comprehensive unit heat supply and cold supply cost is obtained and is expressed by the following formula:
Figure BDA0002730999350000143
Figure BDA0002730999350000144
wherein,
Figure BDA0002730999350000145
and
Figure BDA0002730999350000146
the electric energy and the heat energy which can be produced by each cubic natural gas of the combined cooling heating and power generation unit are respectively the maximum;
Figure BDA0002730999350000147
the heat energy can be generated by each cubic of natural gas of the gas boiler unit;
Figure BDA0002730999350000148
the cooling energy which can be produced by the combined cooling heating and power unit per cubic natural gas is the most.
In this embodiment, k is taken1The content of the acid-resistant acrylic resin is 0.5,
Figure BDA0002730999350000149
is at a value of 3.201 (in this specification),
Figure BDA00027309993500001410
is at a value of 2.766 (in this specification),
Figure BDA00027309993500001411
the content of the carbon black is 8.73,
Figure BDA00027309993500001412
is 3.688.
Finally, the energy price is priced based on the energy supply cost. For electric energy, the electricity price is pi of the electricity price in the time period of the areaele.tAnd plays a role in anchoring. Price per unit of heat energy for heat/cold energyheatAnd price per unit of cold energy picoldCost and profit coefficient k for heat/cold supply by integrated unit2And k3Obtained and expressed by the following formula:
Figure BDA0002730999350000151
in this embodiment, a profit coefficient k is taken2And k31.2 and 1.3 respectively.
(6) Establishing a charge settlement mechanism among a service provider, a supply and demand side user and an electricity selling enterprise, and the specific process comprises the following steps:
(61) analyzing the fund relationship between the distributed energy resource sharing service provider and the demand side user, and paying the cost T to the service provider for the demand side user j in the aspect of energy purchase costjQuantization is performed, and is expressed by the following formula:
Figure BDA0002730999350000152
(62) analyzing the fund relationship between the distributed energy resource sharing service provider and the user at the supply side, and paying the cost T to the user i at the supply side for the service provideriQuantization is performed, and is expressed by the following formula:
Figure BDA0002730999350000153
energy sale profit sharing
Figure BDA0002730999350000154
The profit of electricity selling, heat selling and cold selling is divided, and is related to the output ratio of the distributed energy equipment of the user i, and the profit is expressed by the following formula:
Figure BDA0002730999350000155
wherein k is4The share ratio of the user at the supply side and the service provider; p isi、Hi、DiThe electrical/thermal/cold output values of the distributed energy devices, which are respectively supply-side users i, are expressed by the following formulas:
Figure BDA0002730999350000156
energy storage lease feeBy using
Figure BDA0002730999350000157
The energy storage resource purchasing quantity is expressed by the following formula:
Figure BDA0002730999350000161
cost of natural gas consumption
Figure BDA0002730999350000162
And the electricity purchasing collection fee
Figure BDA0002730999350000163
The following formula is adopted:
Figure BDA0002730999350000164
Figure BDA0002730999350000165
(63) analyzing the fund relationship between the distributed energy sharing service provider and the electricity selling enterprises, and paying the service provider to the electricity selling enterprises from the aspect of electricity purchasing cost TPEQuantization is performed, and is expressed by the following formula:
Figure BDA0002730999350000166
in order to analyze the applicability of the park distributed energy sharing service operation method based on idle quantity aggregation, the effectiveness and the applicability of the method are obtained by analyzing the energy satisfaction rate of demand side users and the income conditions of supply side users and service providers after the method is adopted.
The energy satisfaction rate of the demand side users is shown in the table below, and it can be seen that after the park distributed energy sharing service operation method based on idle amount aggregation is introduced, the energy requirements of the demand side users are all satisfied, so that the demand side users are prompted to actively participate in the distributed energy sharing service.
Figure BDA0002730999350000167
The income condition of the supply side user is shown in the following table, and it can be seen that after the park distributed energy sharing service operation method based on idle amount aggregation is introduced, the supply side user obtains the energy sale profit sharing and the energy storage lease fee from the service provider by providing the idle distributed energy equipment capacity to the service provider, so that the utilization rate of the distributed energy equipment is improved, the daily energy cost is reduced, and the supply side user is prompted to actively participate in the distributed energy sharing service.
User 1 User 2 User 3
Profit sharing of electric energy 748.0 115.7 1383.0
Profit sharing of heat energy 63.2 22.5 71.8
Profit sharing of cold energy 42.7 8.4 53.0
Energy storage lease fee (Yuan) 310.1 198.3 0
Total (yuan) 1164.1 345.0 1507.8
The income condition of the service provider is shown in the table below, and it can be seen that after the operation method of the campus distributed energy sharing service based on idle quantity aggregation is introduced, the service provider aggregates idle capacities of distributed energy equipment in markets at various time periods and provides corresponding energy for energy demand users, and considerable income can be obtained, so that the development of the service provider is promoted.
Expenditure (Yuan) Income (yuan) Profit (yuan)
Electric energy 74294.7 85528.5 8987.0
Thermal energy 3939.4 4727.3 630.3
Cold energy 1735.4 2256.0 416.5
Energy storage 508.4 1706.5 1198.0
In total 11231.8
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only examples of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (4)

1. A distributed energy resource sharing service resource matching method based on idle quantity aggregation is characterized by comprising the following steps:
step S1, designing a service architecture with a distributed energy resource sharing service provider as a core;
step S2, constructing a service flow of the distributed energy resource sharing service, and standardizing the work content of each participating subject in different service stages;
step S3, analyzing market behaviors of a supply side user and a demand side user in the distributed energy sharing service, and establishing a distributed energy idle quantity supply model of a supply side user agent and an energy demand model of a demand side user agent;
step S4, establishing a supply and demand matching mechanism and a pricing mechanism of a service agent based on a distributed energy idle quantity supply model and an energy demand model of a user agent;
step S5, designing a charge settlement mechanism of the distributed energy sharing service, completing the charge settlement between a service provider, a supply and demand side user and an electricity selling enterprise, and providing support for reasonable distribution of energy;
the specific process of establishing the distributed energy idle quantity supply model of the supply-side user agent in step S3 is as follows:
the output strategy of each distributed energy resource device is formulated according to an energy consumption curve input by a user, the distributed energy resource idle supply quantity vector of the user on the operation day is obtained by combining the actual installed capacity of the distributed energy resource device of the user, and the distributed energy resource idle quantity vector of the ith supply side user agent is expressed by adopting the following formula:
Figure FDA0003676052000000011
wherein,
Figure FDA0003676052000000012
the idle capacity of the combined cooling heating and power unit is the time period t;
Figure FDA0003676052000000013
the idle capacity of the photovoltaic equipment is a time period t;
Figure FDA0003676052000000014
the idle capacity of the electric refrigerator is a time period t;
Figure FDA0003676052000000015
the idle capacity of the gas boiler is a time period t; eiAnd PiRespectively the idle storage capacity and the idle power capacity of the energy storage equipment;
wherein:
Figure FDA0003676052000000016
wherein,
Figure FDA0003676052000000017
rated installed capacities of a combined cooling heating and power unit, photovoltaic equipment, an electric refrigerator and a gas boiler are respectively set;
Figure FDA0003676052000000021
output values of a combined cooling heating and power unit, photovoltaic equipment, an electric refrigerator and a gas boiler in each time period are respectively; etaPV.tThe photovoltaic power ratio of the area where the user is located in the time period t;
the specific process of establishing the energy demand model of the demand side user agent in step S3 is as follows:
and S31, calculating the electric energy demand, wherein the calculation formula is as follows:
Figure FDA0003676052000000022
wherein,
Figure FDA0003676052000000023
submitted to the facilitator agent for the jth customer agent on demand sideThe amount of electrical energy demand;
Figure FDA0003676052000000024
actual electric energy load amount of the jth user;
s32, calculating the heat energy demand, wherein the formula is as follows:
Figure DEST_PATH_IMAGE002
wherein,
Figure FDA0003676052000000026
the heat energy demand submitted to the service agent for the jth demand side user agent;
Figure FDA0003676052000000027
actual heat energy load for the jth user; piheatA heat energy price published for a facilitator agent;
Figure FDA0003676052000000028
the highest heat energy bearing price set for the jth user;
and S33, calculating the cold energy demand, wherein the formula is as follows:
Figure DEST_PATH_IMAGE004
wherein,
Figure FDA00036760520000000210
the cold energy demand submitted to the service agent for the jth user agent on the demand side;
Figure FDA00036760520000000211
the actual cold energy load of the jth user; picoldA cold energy price published for a service provider agent;
Figure FDA00036760520000000212
setting the highest cold energy bearing price for the jth user;
the specific process of establishing the supply and demand matching mechanism of the service provider agent in step S4 is as follows:
s41.1, arranging the distributed energy equipment idle capacity submitted by a supply side user agent and the energy demand submitted by a demand side user agent;
the service provider agent receives the available capacity of the distributed energy equipment, and the available capacity is expressed by adopting a formula:
[PCCHP.t.max,PPV.t.max,PER.t.max,HGH.t.max,Ek,Pk]
wherein, PCCHP.t.max、PPV.t.max、PER.t.max、HGH.t.maxCapacities of a combined cooling heating and power unit, a photovoltaic unit, an electric refrigerator unit and a gas boiler unit which can be called by a service provider in a time period t are respectively received;
Ekand PkThe idle storage capacity and the idle power capacity of the kth energy storage device are expressed by adopting a formula:
Figure FDA0003676052000000031
the energy demand received by the service provider agent is expressed by the formula:
Figure FDA0003676052000000032
wherein, Pneed.t、Hneed.t、Dneed.tRespectively the electric energy/heat energy/cold energy demand received by the service provider agent;
s41.2, establishing an optimization model by taking the maximum energy satisfaction rate of the demand side as a target to obtain the maximum energy satisfaction rate of the demand side, wherein the target function is as follows:
Figure FDA0003676052000000033
wherein alpha ist、βt、γtThe electric energy satisfaction rate, the heat energy satisfaction rate and the cold energy satisfaction rate of the demand side are respectively expressed by the following formulas:
Figure FDA0003676052000000034
Figure FDA0003676052000000035
Figure FDA0003676052000000036
wherein, Pelebuy.tThe electricity purchasing quantity from the service provider to the electricity selling enterprises in the t period; pCCHP.t、PPV.t、PER.tRespectively the electric output of the combined cooling heating and power unit/photovoltaic unit/electric refrigerator unit at t time period; hCCHP.t、HGH.tRespectively the thermal output of the combined cooling heating and power unit/gas boiler unit in the t time period; dCCHP.t、DER.tRespectively the cold output of the combined cooling heating and power unit/electric refrigerator unit in the t time period;
Figure FDA0003676052000000041
and
Figure FDA0003676052000000042
charging/discharging power respectively for the idle capacity of the kth energy storage equipment;
the constraint conditions comprise idle capacity output constraint, energy conversion constraint and total energy output constraint of each distributed energy device, the total energy output constraint is that the supply quantity and the demand quantity of electricity/heat/cold energy production are smaller than the demand quantity of a demand side user, and the constraint conditions are expressed by a formula:
Figure FDA0003676052000000043
0≤HCCHP.t+HGH.t≤Hneed.t
0≤DCCHP.t+DER.t≤Dneed.t；
s41.3, establishing an optimization model by taking the minimum energy supply cost as a target to obtain an output strategy and an idle energy storage capacity acquisition strategy of idle capacity of each distributed energy device, wherein the target function is as follows:
min(Cele+Cgas+CSG)
wherein, CeleThe cost of purchasing electrical energy from electricity selling businesses for the service provider; cgasNatural gas costs spent for production using the distributed energy facility spare capacity; cSGThe cost of purchasing idle energy storage resources for service providers is expressed by the following formula:
Figure FDA0003676052000000044
Figure FDA0003676052000000045
CSG＝∑k(πEEk+πPPk)
wherein, piele.tThe time interval of the area is the electricity price; pigasIs the natural gas price; piEAnd piPLease prices of unit storage capacity/power capacity of the energy storage equipment are respectively; fbuy.tThe amount of natural gas required to be purchased for the service provider to produce energy;
the constraint conditions comprise output constraint of idle capacity of the energy conversion equipment, energy conversion constraint, charge and discharge constraint of the energy storage equipment and energy balance constraint; the energy balance constraint ensures that the production supply amount and the consumption amount of the energy are consistent, and the following formula is adopted for expression:
Figure FDA0003676052000000046
HCCHP.t+HGH.t＝βtHneed.t
DCCHP.t+DER.t＝γtDneed.t；
the specific process of establishing the energy pricing mechanism in step S4 is as follows:
s42.1, accounting the electric energy supply cost to obtain the comprehensive unit power supply cost, and expressing by a formula:
Figure FDA0003676052000000051
wherein k is1πele.tThe unit power generation cost k of the combined cooling heating and power unit1；0＜k1The power generation cost calibration coefficient is less than 1;
s42.2, based on the energy conversion relation between the power supply cost of the comprehensive unit and the distributed energy equipment, accounting the heat energy and cold energy supply cost to obtain the heat supply and cold supply cost of the comprehensive unit, and the heat supply and cold supply cost is expressed by a formula:
Figure FDA0003676052000000052
Figure FDA0003676052000000053
wherein,
Figure FDA0003676052000000054
and
Figure FDA0003676052000000055
the energy is respectively the electric energy and the heat energy which are produced by the combined cooling heating and power unit at most by each cubic natural gas;
Figure FDA0003676052000000056
the heat energy generated by each cubic of natural gas of the gas boiler unit;
Figure FDA0003676052000000057
the cooling energy produced by each cubic of natural gas of the combined cooling heating and power unit is the maximum;
s42.3 pricing energy price based on energy supply cost, wherein for electric energy, the electricity price is the electricity price pi of the region in the time periodele.tPlays the role of anchoring, and has a unit heat energy price of pi for heat/cold energyheatAnd price per unit of cold energy picoldCost and profit coefficient k for heat/cold supply from integrated unit2And k3Obtaining, and expressing by using a formula:
Figure FDA0003676052000000058
2. the method for matching distributed energy sharing service resources based on idle amount aggregation according to claim 1, wherein the service architecture with the distributed energy sharing service provider as a core in step S1 specifically comprises: a participating agent, an equipment agent, a supply side user agent, a demand side user agent and a service provider agent;
the participating main body comprises a service provider, a supply side user and a demand side user, and is a novel energy supply service mode which takes a distributed energy sharing service provider as a core and is oriented to an energy supply side user and an energy demand side user; wherein the donor-side users obtain revenue by sharing the spare distributed energy facility capacity to the facilitator; the service provider utilizes the idle distributed energy equipment capacity to produce energy and sell the energy to the user at the demand side, and the service provider obtains economic income by dividing the energy selling profit of the user at the supply side;
the equipment agent measures and controls the output of the energy equipment, collects energy information for the load equipment, and communicates with a supply side user agent and a demand side user agent;
the supply side user agent communicates with a plurality of equipment agents and service provider agents owned by the user, and the idle quantity decision of the energy equipment is completed according to the energy consumption curve input by the user;
the demand side user agent communicates with a plurality of equipment agents and service provider agents owned by the user, and carries out energy purchase quantity decision work according to an energy consumption curve input by the user and the highest energy acceptance price;
and the service provider agent makes energy price and controls energy production through the idle energy equipment amount submitted by each supply side user agent and the energy demand amount submitted by a plurality of demand side user agents.
3. The method for matching distributed energy sharing service resources based on idle amount aggregation according to claim 2, wherein the service process in step S2 specifically includes:
the clause specification phase: after the distributed energy service provider publishes the service terms, the supply side user and the demand side user receive the service terms, sign corresponding contracts and install the proxy device;
an idle resource submitting stage: the method comprises the following steps that a supply side user inputs a load curve of a running day to an agent of the supply side user, the supply side user agent makes an output strategy of the distributed energy equipment and submits idle capacity information of each equipment in different time periods to a service provider agent;
energy pricing and purchasing stage: the demand side user agent makes an energy purchase quantity decision according to a load curve input by a user and the highest acceptable energy price and submits the energy purchase quantity decision to the service provider agent; the service provider agent makes a decision to make an idle capacity output strategy of the distributed energy equipment according to the energy purchase amount provided by the user agent at the demand side, and publishes the energy price after accounting the cost; the demand side user agent revises the energy demand again after receiving the energy price, and the service provider recalculates the cost and the energy price according to the revised energy demand; finally, the energy price and the demand are not changed any more;
and (3) actual operation stage: the service provider agent issues a distributed energy equipment idle capacity use strategy to each supply side user agent according to the idle capacity output strategy, and the supply side user agent combines the idle capacity use strategy with the output strategy of the distributed energy equipment and issues a regulation and control output command to the corresponding equipment agent;
and (3) settlement stage: each participating principal settles the associated fee at this stage.
4. The method for matching distributed energy resource sharing services based on idle amount aggregation as claimed in claim 1, wherein the step S5 is to establish a mechanism for settling the charges between the service provider and the users at the supply and demand side as well as the electricity selling enterprises by:
s5.1, analyzing the fund relation between the distributed energy resource sharing service provider and the demand side user, and paying the cost T to the service provider for the demand side user j in the aspect of energy purchase costjQuantization is carried out, and the formula is adopted:
Figure FDA0003676052000000071
s5.2, analyzing the fund relationship between the distributed energy resource sharing service provider and the supply side user, and paying the cost T to the supply side user i from the four aspects of energy sale profit sharing, energy storage rental cost, natural gas consumption cost and electricity purchase collection costiQuantization is performed, and is expressed by the following formula:
Figure FDA0003676052000000072
energy sales profit share cost T1 iThe output ratio of the distributed energy resource equipment of the supply side user i is expressed by the following formula:
Figure FDA0003676052000000073
wherein k is4The share ratio of the user at the supply side and the service provider; p isi、Hi、DiThe electrical/thermal/cold output values of the distributed energy devices, which are respectively supply-side users i, are expressed by the following formulas:
Figure FDA0003676052000000074
energy storage rental fee
Figure FDA0003676052000000081
The energy storage resource purchasing quantity is expressed by the following formula:
Figure FDA0003676052000000082
natural gas consumption cost T3 iAnd the electricity purchase collection fee
Figure FDA0003676052000000083
The following formula is adopted:
Figure FDA0003676052000000084
Figure FDA0003676052000000085
s5.3, analyzing the fund relationship between the distributed energy sharing service provider and the electricity selling enterprises, and paying the cost T to the electricity selling enterprises from the aspect of electricity purchasing cost to the service providerPEQuantization is performed, and is expressed by the following formula:
Figure FDA0003676052000000086
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能源互联网的资源配置效应研究;杨锦春;《技术经济与管理研究》;第111-115页;20200117;第111-115页 *

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