CN112288242A - 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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CN112288242A
CN112288242A CN202011118041.2A CN202011118041A CN112288242A CN 112288242 A CN112288242 A CN 112288242A CN 202011118041 A CN202011118041 A CN 202011118041A CN 112288242 A CN112288242 A CN 112288242A
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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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Economic and Technological Research Institute of State Grid Sichuan Electric Power Co Ltd
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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 benefit and market behavior of each participating main body, aggregates the idle capacity of distributed energy equipment in 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 cascade 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 amount 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 are 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, a combined cooling heating and power unit and the like, and although the equipment manufacturing technology and an operation model are mature, the overall benefit of the system is low due to the problem of low utilization rate of user equipment caused by different ownership of the distributed energy equipment, the further development of the distributed energy equipment is hindered, and the last kilometer between the distributed energy theoretical technology and the 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-mentioned existing technical problems, an object of the present invention is to provide a method for matching distributed energy sharing service resources based on idle amount aggregation, in which a service mode with a distributed energy sharing service provider as a core is established, economic benefits and market behaviors of participating entities are comprehensively considered, idle capacities of distributed energy devices in markets at various time periods are aggregated, and corresponding energy is provided for energy demand users, so that the utilization rate of the distributed energy devices is increased while energy demands of demand users are satisfied, 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 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, 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 can communicate 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 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 and the highest energy acceptance price input by the user;
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 agent device;
an idle resource submission 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 amount decision according to a load curve input by a user and the highest acceptable energy price and submits the energy purchase amount 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 revived 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 the 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 a time period 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.tThe photovoltaic power ratio of the area where the user is located is 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
the actual electric energy load of the jth user.
S32, calculating the heat energy demand, wherein the calculation formula is as follows:
Figure BDA0002730999350000041
wherein,
Figure BDA0002730999350000042
the heat energy demand submitted to the service provider agent for the jth demand side user agent;
Figure BDA0002730999350000043
actual heat energy load for jth user; piheat is the heat energy price published by the service provider agency;
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 provider agent for the jth demand side user agent;
Figure BDA0002730999350000047
the actual cold energy load of the jth user; picoldA published cold energy price for the facilitator 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 idle capacity of the distributed energy equipment submitted by the user agent at the supply side and the energy demand submitted by the user agent at the demand side;
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、γtAre respectively the demand sideThe electric energy satisfaction rate, the heat energy satisfaction rate and the cold energy satisfaction rate are 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 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 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 idle capacity 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 spare capacity of the distributed energy facility; 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 to be purchased for the service provider during energy production;
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 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, accounting of heat energy and cold energy supply cost is carried out based on the energy conversion relation between the comprehensive unit power supply cost and the distributed energy equipment, so that heat supply and cold supply cost of the comprehensive unit is obtained, 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 among the service provider, the supplier and demand side user and the electricity selling enterprise in the step S5 is as follows:
s5.1, 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 from the aspect of energy purchasing 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 sales profit sharing
Figure BDA0002730999350000078
To the supplier-side user iThe output duty ratio of the distributed energy equipment is related and is expressed by the following formula:
Figure BDA0002730999350000079
wherein k is4The share ratio of the supply side user and the service provider; pi、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 BDA0002730999350000081
energy storage rental fee
Figure BDA0002730999350000082
The energy storage resource purchasing quantity 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 diagram 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 accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit 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 level, 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 distributed energy equipment capacity to the service provider to obtain revenue, and the service provider uses the spare distributed energy equipment to produce energy and sell the energy to the demand-side users, so as 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 quantity, 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) 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 distributed energy idle supply amount 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 the 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 a time period t;
Figure BDA0002730999350000105
the idle capacity of the gas boiler is a time period t; eiAnd PiThe idle storage capacity and the idle power capacity of the energy storage device are respectively expressed by the following formulas:
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 distributed energy sharing service main body, 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 provider agent for the jth demand side user agent;
Figure BDA0002730999350000117
actual heat energy load for jth user; piheatA heat energy price published for a service provider 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 the specific process comprises the following steps:
(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 by a service provider in a time period t are respectively received; 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 provider 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; 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 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 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 output of energy is restricted to provide the production of electricity/heat/cold energy with the demand less than the demand of a demand side user, and 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 piPLease prices per unit storage capacity/power capacity of the energy storage device, respectively; fbuy.tThe amount of natural gas 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 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 relationship 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 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 BDA0002730999350000147
the heat energy which 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 organic acid is 0.5,
Figure BDA0002730999350000149
in the order of 3.201, is,
Figure BDA00027309993500001410
in the order of 2.766, is,
Figure BDA00027309993500001411
is a content of at least 8.73A,
Figure BDA00027309993500001412
is 3.688.
Finally, the energy price is priced based on the energy supply cost. For electric energy, the electricity price isTime interval electricity price pi of regionele.tAnd plays the role of 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 from integrated unit2And k3Obtained and expressed by the following formula:
Figure BDA0002730999350000151
in this embodiment, the 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 from the aspect of energy purchasing cost to the demand side user jjQuantization 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 sales 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 supply side user and the service provider; pi、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 rental fee
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
As shown in the table below, it can be seen that, after the operation method of the campus distributed energy sharing service based on the idle amount aggregation is introduced, the supply-side user obtains the share of the energy sale profit and the energy storage lease cost from the service provider by providing the idle capacity of the distributed energy equipment 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 (yuan) 748.0 115.7 1383.0
Profit sharing of heat energy (Yuan) 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 following table, and it can be seen that after the operation method of the park distributed energy sharing service based on idle quantity aggregation is introduced, the service provider aggregates the idle capacity of the distributed energy equipment in the market at each time period and provides corresponding energy for energy demand users, and considerable income can be obtained, thereby promoting the development of the service provider.
Expenditure (Yuan) Income (yuan) Profit (yuan)
Electric energy 74294.7 85528.5 8987.0
Heat energy 3939.4 4727.3 630.3
Cold energy 1735.4 2256.0 416.5
Energy storage 508.4 1706.5 1198.0
Total of 11231.8
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments 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 (8)

1. A distributed energy resource sharing service resource matching method based on idle amount aggregation is characterized by comprising the following steps:
step S1, designing a service architecture with a distributed energy 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.
2. The method as claimed in claim 1, wherein the step S1 includes a service architecture with a distributed energy sharing service provider as a core: 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, 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 can communicate 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 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 and the highest energy acceptance price input by the user;
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.
3. The method as claimed in claim 2, wherein the service flow in step S2 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 agent device;
an idle resource submission 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 amount decision according to a load curve input by a user and the highest acceptable energy price and submits the energy purchase amount 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 revived 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 resource matching method for distributed energy sharing service based on idle amount aggregation according to any one of claims 1 to 3, wherein the specific process of establishing the distributed energy idle amount 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 FDA0002730999340000021
wherein,
Figure FDA0002730999340000022
the idle capacity of the combined cooling heating and power unit is tAn amount;
Figure FDA0002730999340000023
the idle capacity of the photovoltaic equipment is a time period t;
Figure FDA0002730999340000024
the idle capacity of the electric refrigerator is a time period t;
Figure FDA0002730999340000025
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 FDA0002730999340000026
wherein,
Figure FDA0002730999340000027
rated installed capacities of a combined cooling heating and power unit, photovoltaic equipment, an electric refrigerator and a gas boiler are respectively set;
Figure FDA0002730999340000028
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 is the time period t.
5. The method for matching resources of distributed energy sharing services based on idle amount aggregation according to claim 4, wherein 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 FDA0002730999340000031
wherein,
Figure FDA0002730999340000032
the electric energy demand submitted to the service provider agent by the jth demand side user agent;
Figure FDA0002730999340000033
the actual electric energy load of the jth user;
s32, calculating the heat energy demand, and the formula is as follows:
Figure FDA0002730999340000034
wherein,
Figure FDA0002730999340000035
the heat energy demand submitted to the service provider agent for the jth demand side user agent;
Figure FDA0002730999340000036
actual heat energy load for jth user; piheatA heat energy price published for a service provider agent;
Figure FDA0002730999340000037
setting the highest heat energy bearing price for the jth user;
s33, calculating the cold energy demand, wherein the formula is as follows:
Figure FDA0002730999340000038
wherein,
Figure FDA0002730999340000039
the cold energy demand submitted to the service provider agent for the jth demand side user agent;
Figure FDA00027309993400000310
the actual cold energy load of the jth user; picoldA published cold energy price for the facilitator agent;
Figure FDA00027309993400000311
the highest cold energy bearing price set for the jth user.
6. The idle-aggregation-based resource matching method for distributed energy sharing services according to claim 5, wherein 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 idle capacity of the distributed energy equipment submitted by the user agent at the supply side and the energy demand submitted by the user agent at the demand side;
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 FDA0002730999340000041
the energy demand received by the service provider agent is expressed by the formula:
Figure FDA0002730999340000042
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 FDA0002730999340000043
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 FDA0002730999340000044
Figure FDA0002730999340000045
Figure FDA0002730999340000046
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 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 FDA0002730999340000047
and
Figure FDA0002730999340000048
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 FDA0002730999340000049
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 vendors for service providers; cgasNatural gas costs spent for production using the spare capacity of the distributed energy facility; cSGThe cost of purchasing idle energy storage resources for service providers is expressed by the following formula:
Figure FDA0002730999340000051
Figure FDA0002730999340000052
CSG＝∑k(πEEk+πPPk)
wherein, piele.tThe time interval of the area is the electricity price; pigasIs the natural gas price;πEand piPLease prices per unit storage capacity/power capacity of the energy storage device, respectively; fbuy.tThe amount of natural gas to be purchased for the service provider during energy production;
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 FDA0002730999340000053
HCCHP.t+HGH.t＝βtHneed.t
DCCHP.t+DER.t＝γtDneed.t。
7. the method for matching resources of distributed energy sharing service based on idle amount aggregation according to claim 6, wherein 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 FDA0002730999340000054
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, accounting of heat energy and cold energy supply cost is carried out based on the energy conversion relation between the comprehensive unit power supply cost and the distributed energy equipment, so that heat supply and cold supply cost of the comprehensive unit is obtained, and the heat supply and cold supply cost is expressed by a formula:
Figure FDA0002730999340000061
Figure FDA0002730999340000062
wherein,
Figure FDA0002730999340000063
and
Figure FDA0002730999340000064
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 FDA0002730999340000065
the heat energy which can be generated by each cubic of natural gas of the gas boiler unit;
Figure FDA0002730999340000066
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 FDA0002730999340000067
8. the method as claimed in claim 7, wherein the step S5 of establishing a mechanism for settling the charges between the service provider and the user at the supply and demand side and the electricity selling enterprise comprises:
s5.1, 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 from the aspect of energy purchasing cost to the demand side user jjAnd (3) carrying out quantification, and expressing by using a formula:
Figure FDA0002730999340000068
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 FDA0002730999340000069
energy sales profit sharing
Figure FDA00027309993400000610
The following formula is adopted in relation to the duty ratio of the output of the distributed energy device of the supply-side user i:
Figure FDA0002730999340000071
wherein k is4The share ratio of the supply side user and the service provider; pi、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 FDA0002730999340000072
energy storage rental fee
Figure FDA0002730999340000073
The energy storage resource purchasing quantity is expressed by the following formula:
Figure FDA0002730999340000074
cost of natural gas consumption
Figure FDA0002730999340000075
And the electricity purchasing collection fee
Figure FDA0002730999340000076
The following formula is adopted:
Figure FDA0002730999340000077
Figure FDA0002730999340000078
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 FDA0002730999340000079
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