CN109598429B - Intelligent dispatching system and dispatching method for island micro-grid - Google Patents
Intelligent dispatching system and dispatching method for island micro-grid Download PDFInfo
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Abstract
The invention discloses an intelligent dispatching system for a sea island microgrid, which comprises a plurality of user units, a plurality of power generation units, a plurality of cogeneration units and a plurality of boiler units, wherein the user units are connected with the power generation units through a network; the user unit comprises electric equipment or electric appliances, a photovoltaic power generation module, a wind power generation module and an electric automobile; the cogeneration unit takes natural gas as a raw material, outputs electric energy and supplies heat to the outside, and the heat supply and the power supply of the cogeneration unit are positioned in a feasible working interval; the boiler unit takes natural gas as a raw material and supplies heat to the outside. The invention also provides a scheduling method, the intelligent computing module selects the electricity purchasing and selling strategies of the user unit, the power generation unit, the cogeneration unit and the boiler unit through an intelligent acceleration algorithm, and each unit carries out distributed electricity purchasing and selling transactions and heat supply transactions through the block chain system. The invention sets a price driving and exciting mechanism and promotes the consumption of new energy power generation. The electricity generation and utilization are only traded inside the island, thereby reducing the cost of power and heat delivery.
Description
Technical Field
The invention belongs to the field of power grid dispatching, and particularly relates to an intelligent dispatching system and a dispatching method for an island micro-grid.
Background
In recent years, with the rapid development of new energy power generation technology, the application of the new energy power generation technology is distributed to every household. Although more and more places begin to be distributed with the distributed new energy power generation system, the new energy power generation technology has larger randomness due to the close correlation with uncertain factors such as weather, climate and the like, and further the new energy is threatened to the reliable operation of a power grid after being connected to the power grid; due to the fact that randomness is high, operation is unstable, new energy power generation is not accepted and consumed by the public, and power abandonment happens sometimes. In addition, due to the opacity of the user to the power generation condition, the user cannot reasonably arrange the power utilization time, so that the power utilization time of the load end is concentrated, and a large impact is caused on a power grid. No technical means for comprehensively solving the problems exist in the prior art. In addition, the traditional power grid adopts a centralized monitoring method, so that the reliability and the operation of the traditional power grid are not good, and the power utilization information of a user needs to be transmitted to centralized monitoring equipment, so that the problem of user privacy disclosure is easily caused.
Therefore, the technical problems that in the prior art, users use electricity in a centralized mode, privacy of the users is leaked, and the electricity generated by new energy is difficult to accept and consume by the public and the like exist.
Disclosure of Invention
The invention aims to solve the problems and provides an intelligent dispatching system and a dispatching method for a sea island microgrid, wherein a power price market allocation mechanism and a payment mechanism are both completed through a block chain system, and the power consumption demand, the heat consumption demand and the power generation measuring tool of each user are measured or predicted by an intelligent instrument; the method comprises the steps of recording acquired information of the intelligent meters by means of a distributed accounting function of a block chain module or a storage function and an information interaction function of an intelligent computing module, calculating and sending the surplus of generated energy or the excess of demand of each user to a corresponding block chain metering unit of each user through each distributed intelligent computing module based on the information, and simultaneously storing generated energy and demand data of each user in a storage unit in the corresponding block chain metering unit or directly storing the data in the intelligent computing module as local information. By the method, the privacy information of each user can be better protected while the power grid is subjected to real-time power supply and power generation management. And the network topology formed by all the distributed intelligent computing modules is communicated. For users, the system carries out power scheduling according to the price of electricity and the price of gas, thereby taking scheduling action in accordance with the benefits of the power generation unit and the cogeneration unit.
The technical scheme of the invention is that the intelligent dispatching system of the island microgrid comprises a plurality of user units, a plurality of power generation units, a plurality of cogeneration units and a plurality of boiler units which are connected with one another, wherein the user units, the power generation units, the cogeneration units and the boiler units are connected in pairs, the user units, the power generation units and the cogeneration units are respectively independent of a main grid, and electric energy and heat energy are exchanged and consumed only in regions; the user unit comprises electric equipment or electric appliances, an intelligent instrument, a photovoltaic power generation module, a wind power generation module and an electric vehicle, wherein the intelligent instrument measures the generated energy of the user unit and the consumed electric quantity and heat and predicts the power consumption demand and the heat demand of a user; the cogeneration unit takes natural gas as a raw material, outputs electric energy and supplies heat to the outside, and the heat supply and the power supply of the cogeneration unit are positioned in a feasible working interval; the boiler unit takes natural gas as a raw material and supplies heat to the outside.
The intelligent dispatching system of the island microgrid also comprises a calculation and storage module, the calculation and storage module comprises a plurality of intelligent calculation modules, the intelligent calculation modules calculate the electric quantity purchased or sold by the user units from the power generation units, the cogeneration units and other user units in a distributed manner based on electricity price, gas price, transmission cost and a distributed network, the heat purchased from each cogeneration unit or boiler unit is formed and transmitted to the corresponding units, no heating equipment is arranged in the user units for heating in a centralized manner, the electricity purchased by the user units is only used for non-heating demand, the heating demand of the user units is met by the boiler unit for heating or cogeneration units, the heating quantity and the electric quantity purchased from each cogeneration unit are purchased, the electric quantity is purchased from the power generation units, the heat is purchased from the boiler units, in the day-ahead scheduling stage, an electricity and gas purchasing strategy is selected through an intelligent computing module, and the systematic operation in a working mode with the maximized economic benefit is ensured; in the real-time operation process, based on the time-of-use electricity price, a service time plan of the electric appliances or the electric equipment is made for a user through the intelligent computing module, and the service time of each electric appliance or electric equipment is planned in a mode of maximizing economic benefits for the user.
A dispatching method of an intelligent dispatching system of an island microgrid is characterized in that the number of distributed intelligent computing modules is equal to the sum of the numbers of user units, power generation units, cogeneration units and boiler units, each intelligent computing module corresponds to one user unit or power generation unit or cogeneration unit or boiler unit, electric quantity transaction and heat supply among the units are recorded and stored by a block chain system through block chain authentication, and electricity purchasing and selling quantity information and heat supply information among the units and gas purchasing quantity information of the cogeneration units and the boiler units are obtained through the block chain system; the distributed network is formed by all intelligent computing modules, the network topologies corresponding to the distributed network are communicated, and the communicated intelligent computing modules are in equivalent communication; the heat demand of the user unit is supplied by the cogeneration unit and the boiler unit, and is preferentially supplied by the cogeneration unit; in the scheduling stage before the day, the intelligent computing module selects a user unit, a power generation unit, a cogeneration unit and a boiler unit to purchase electricity and gas through an accelerated intelligent algorithm, wherein the accelerated intelligent algorithm specifically comprises the following steps:
(1) the intelligent calculation module respectively authenticates from the block chain system, and acquires the electricity purchasing information, the gas purchasing information, the electricity selling information to other units and the heat demand of the user unit, which are calculated by other intelligent calculation modules, from other user units, the power generation unit and the cogeneration unit;
(2) each intelligent calculation module calculates and stores corresponding collaborative parameters based on the correspondingly acquired electricity purchasing quantity information, the correspondingly acquired gas purchasing quantity information and the correspondingly acquired electricity selling quantity information;
(3) each intelligent calculation module calculates and stores corresponding electricity purchasing information, gas purchasing information and electricity selling information based on the corresponding electricity purchasing information, gas purchasing information and electricity selling information which are obtained by the intelligent calculation module and corresponding collaborative parameters obtained by the intelligent calculation module in the last calculation, the current corresponding electricity price and gas price,
(4) judging whether the difference value of the electricity purchasing quantity and the air purchasing quantity calculated by the intelligent calculation module twice in the adjacent process does not exceed a set threshold value;
(4a) if the difference value between the electricity purchasing quantity and the gas purchasing quantity calculated in two adjacent times does not exceed the set threshold value, each intelligent calculation module submits the information of the electricity purchasing quantity and the gas purchasing quantity calculated by the intelligent calculation module to the block chain system, and the step (5) is executed;
(4b) if the difference value of the purchased and sold electricity or the purchased gas amount calculated in two adjacent times exceeds a set threshold value, returning to the step (1);
(5) each user unit, the power generation unit, the cogeneration unit and the boiler unit acquire the corresponding electricity purchasing information, gas purchasing information and electricity selling information obtained by the last calculation from the block chain system in a distributed manner, and perform power production and heat supply heat energy production based on the information;
(6) each unit carries out distributed electricity purchasing and selling transaction and heat supply transaction through the block chain system, and carries out electricity supply and heat supply.
The step (2) specifically comprises the following steps:
(2a) numbering a plurality of user units, a plurality of power generation units, a plurality of cogeneration units and a plurality of boiler units as 1,2, … N in sequence, wherein N is the sum of the numbers of the user units, the power generation units, the cogeneration units and the boiler units;
(2b) for the unit i with the number i, i is 1,2, … N, when the unit is a user unit or a power generation unit or a cogeneration unit, the electric quantity coordination parameter of the corresponding intelligent calculation module i is calculated iteratively through the following formula,
wherein
The value of the obtained co-parameter, g, for the k-th calculation of unit iiIs the current power generation of cell i, diIs the current power demand of unit i,
the value of the electric quantity sold to the unit j by the unit i obtained by the k calculation,
for the electric quantity value sold from the unit j to the unit i obtained by the k-th calculation, the electric quantity cooperative parameter is selected during the first calculation
Initial value of
(2C) For the unit i, when the unit i is a cogeneration unit or a boiler unit, the corresponding intelligent calculation module i iteratively calculates the heat coordination parameter thereof by the following formula,
wherein
The heat quantity synergistic parameter obtained by the k calculation, h is the sum of the heat quantity requirements of all units,
calculating the gas purchase amount of the unit i obtained for the k iteration, wherein aiSelecting initial values of heat synergistic parameters for the energy conversion efficiency of the corresponding cogeneration unit or boiler unit at the time of first calculation
The step (3) specifically comprises the following steps,
(3a) according to the current electricity price and gas price, a performance index function c is established for representing the investment consumption of the power grid,
wherein p isijA price of electricity sold to unit j for unit i; if either unit i or unit j is a boiler unit, then pij＝0；niGas price, s, for natural gas purchase for Unit iiThe gas purchase amount is;
(3b) for the unit i, the unit i is iteratively updated by the corresponding intelligent computing module i through the following formula
Wherein argmin { } denotes the corresponding x that minimizes the function in bracesijAnd siA, beta are constant coefficients,
for the electric quantity value sold from unit i to unit j obtained by k step calculation, selecting initial value when first calculating
And
selling price p of electricity from power generation unit to other units related to solar power generation or wind power generationijLower than the selling price p of selling electricity from the generating unit not related to solar power generation or wind power generation to other unitsji。
The invention has the beneficial effects that:
(1) by using the block chain system and the intelligent computing module for information interaction, the user unit, the power generation unit, the cogeneration unit and the boiler unit can perform information interaction pairwise, so that the discovery and the transmission to the outside are easier when a fault occurs, and the reliability of a power grid is greatly enhanced. Meanwhile, the state of the unit can be quickly transmitted to the block chain system and the corresponding intelligent computing module, and the intelligent computing module can be used for quickly diagnosing faults, so that the fault diagnosis efficiency is improved, and the reliability of the power grid is enhanced. The intelligent computing module can send instructions to the faulty units in real time through the network, and is used for removing faults to enable the power grid to recover to be normal, so that the fault maintenance process is accelerated.
(2) The scheduling method based on the intelligent computing module enables the electricity purchasing and selling information of the users and the electricity utilization schedule not to be directly transmitted among all the users, so that the privacy of the users is well protected.
(3) The scheduling method based on the intelligent computing module does not need to manually schedule the power market day by day, so that labor resources are saved;
(4) the reliability of the operation of the power grid is effectively enhanced. Because the user can be the electricity generation end, can be the power consumption end, also can be both electricity generation end and user to can realize the nimble dispatch of electric power, reduce transmission distance, electricity generation and power consumption efficiency obtain promoting. The utilization efficiency of energy can be improved through the electrical allocation of the power system.
(5) A price driving and exciting mechanism is set, and consumption of new energy power generation is promoted.
(6) Through the intelligent computing module, on the premise of protecting data privacy of a user and a power generation end, electricity and gas purchasing strategies can be selected, and a service time plan of an electric appliance is made for the user, so that the cost and carbon dioxide emission of the power generation end are reduced, the user can participate in scheduling by reasonably arranging the service time of the electric appliance, and the technical effect of reducing the impact on a power grid is further achieved; meanwhile, the combination of the two technical means can also reasonably reduce the electricity utilization cost of users. The intelligent calculation module selects electricity and gas purchasing strategies for the power generation end and the heat supply end, and the service time plan of the electric appliance is made for the user, so that the technical effects of bringing economic benefits to the power generation end, the heat supply end and the user and further enhancing the reliability of the power grid can be achieved.
(7) By adopting the intelligent acceleration algorithm provided by the invention to select the electricity and gas purchasing strategies, the reliability of the whole decision making process can be ensured. Although the electric loads at the load end are time-varying in the real-time power dispatching process, as long as the variation rate of the electric loads is lower than the calculation convergence rate of the intelligent acceleration algorithm provided by the invention, the intelligent acceleration algorithm can process the time-varying loads in real time, so that the reliability of the power dispatching process is ensured.
(8) The electricity generation, the electricity utilization and the heat supply are only traded in the island, so that the cost of power transmission and heat transmission is reduced.
Drawings
The invention is further illustrated by the following figures and examples.
FIG. 1 is a schematic diagram of the physical connections of the present invention;
FIG. 2 is a schematic diagram of an information connection according to the present invention;
fig. 3 is a flowchart illustrating a scheduling method according to the present invention.
Detailed Description
Example one
As shown in fig. 1 and 2, an intelligent dispatching system for a sea-island microgrid comprises a plurality of user units, a plurality of power generation units, a plurality of cogeneration units and a plurality of boiler units which are connected with each other, wherein the user units, the power generation units, the cogeneration units and the boiler units are connected with each other in pairs. The household electric appliance comprises a household unit, an intelligent instrument, a photovoltaic power generation module, a wind power generation module and an electric automobile, wherein the household unit comprises household appliances such as a refrigerator, a washing machine, a dish washing machine, an electric lamp and a television, the intelligent instrument measures the generated energy of the household unit, the consumed electric quantity and the heat quantity, and predicts the electricity consumption demand and the heat demand of a user; the cogeneration unit takes natural gas as a raw material and can output electric energy and supply heat to the outside, and the heat supply and the power supply of the cogeneration unit are positioned in a feasible working interval; the boiler unit takes natural gas as a raw material and supplies heat to the outside.
The intelligent dispatching system of the island micro-grid also comprises a calculation and storage module, wherein the calculation and storage module comprises a plurality of distributed calculation modules, and the distributed calculation modules are used for calculating the electric quantity purchased or sold from the regional power grid by each user unit taking a family as a unit in a distributed manner based on the electricity price, the gas price, the transmission cost and the distributed network, and forming the heat supply quantity purchased from each cogeneration unit, an electricity purchasing/transmission instruction and a heat supply instruction to be transmitted to the corresponding family user unit. The household user units are not provided with heating equipment and adopt a centralized mode for heating, wherein the purchased electricity is only used for non-heating requirements in a household, the heating requirements are met by a boiler heating or cogeneration system, the heat supply and the electricity purchased from each cogeneration unit are purchased from the boiler unit, and in the day-ahead scheduling stage, the electricity purchasing and gas purchasing strategies are selected through a distributed computing module to ensure that the system runs in a working mode with maximized economic benefits; in the real-time operation process, on the basis of the time-of-use electricity price, a service time plan of the electric appliances is made for a user through the distributed computing module, and the service time of each electric appliance is planned in a mode of ensuring that the user maximizes economic benefits. Through the scheme, the energy supply and demand balance of the whole power grid is met. The optimal instruction is obtained through distributed operation by combining the energy excess and shortage of each user, and the optimal instruction is sent out to control the power generation and power transmission of each user.
The system comprises a plurality of power generation and utilization modules, a plurality of power generation modules and a plurality of cogeneration units, wherein the power generation and utilization modules take families as units. The user unit taking a family as a unit comprises household appliances such as a refrigerator, a washing machine, a dish washing machine and the like and renewable energy power generation modules such as a photovoltaic power generation module and a wind power generation module. The cogeneration unit takes natural gas as a raw material and can output electric energy to the outside and supply heat and cold to the outside, the heat supply, cold supply and power supply of the cogeneration unit are positioned in a feasible working interval, the electricity generation waste heat and the waste heat generated by cold supply both participate in the transaction of a block chain, and electricity-air conditioning is carried out through the block chain, so that the multi-scale calling of energy is promoted. When the electric power is scheduled, when the electric quantity is insufficient, the electric power is scheduled according to the following priority: the power utilization requirements of strategic users are met firstly, and then the power utilization requirements of other users are met.
Preferably, the user unit is equipped with a heat engine, a photovoltaic, a wind power generation, an electric automobile, an elastic load, and the like.
Preferably, the distributed computing module further comprises a carbon dioxide certification link, the optimization target comprises a carbon dioxide emission index, and by minimizing the total economic index, not only can cost control be optimized, but also the use of clean energy can be promoted.
As shown in fig. 3, in the control method of the island microgrid intelligent scheduling system adopted in the embodiment, the number of distributed computing modules is equal to the sum of the numbers of the user units, the power generation units, the cogeneration units and the boiler units, each intelligent computing module corresponds to one user unit or one power generation unit or one cogeneration unit or one boiler unit, and acquires the electricity purchasing amount information and the gas purchasing amount information of the corresponding user unit, power generation unit and cogeneration unit from other user units, power generation units and cogeneration units and the information of selling electricity to other user units through block chain authentication; the distributed computing modules form a distributed network, network topologies corresponding to the distributed network are communicated, and the communicated distributed computing modules are communicated equivalently.
In the day-ahead scheduling stage, the distributed computing module selects electricity purchasing and gas purchasing strategies of each user unit, each power generation unit and each cogeneration unit through an accelerated intelligent algorithm, and the accelerated intelligent algorithm specifically comprises the following steps:
(1) the distributed calculation module acquires the electricity purchasing information, the gas purchasing information, the selling information of the electricity sold to other user units and the heat and power demand of each user, which are obtained by the last step of calculation from the corresponding user unit, the electricity generation unit and the combined heat and power generation unit through block chain authentication respectively;
(2) and each distributed calculation module calculates and stores corresponding collaborative parameters based on the correspondingly acquired electricity purchasing quantity information, the correspondingly acquired gas purchasing quantity information and the correspondingly acquired electricity selling quantity information. For each user, when the generated energy is larger than the electricity demand of the user, the value of the cooperative parameter is increased to represent that the cooperative parameter can output electric energy outwards; when the power generation amount is smaller than the demand of the user, the value of the cooperative parameter is reduced, which represents that the electric energy can be consumed.
(3) Each distributed calculation module calculates and stores corresponding electricity purchasing amount information, gas purchasing amount information and electricity selling amount information based on the corresponding electricity purchasing amount information, gas purchasing amount information and electricity selling amount information which are obtained by the distributed calculation module and corresponding collaborative parameters obtained by the previous step of calculation and the current corresponding electricity price by utilizing an accelerated intelligent algorithm,
(4) repeating the steps (1) to (3) until the difference value between the purchased gas amount information and the sold electricity amount information does not exceed a set threshold value after the purchased electricity amount information and the sold electricity amount information are calculated for two adjacent times;
(5) and each user unit, the power generation unit and the cogeneration unit acquire the corresponding electricity purchasing information, gas purchasing information and electricity selling information obtained by the last calculation from the block chain system in a distributed manner, and perform power production and heat supply energy production based on the information.
(6) Each unit carries out distributed electricity purchasing and selling transaction and heat supply transaction through the block chain system, and carries out electricity supply and heat supply.
Preferably, step (2) comprises the following sub-steps:
(2a) numbering a user unit, a power generation unit, a cogeneration unit and a boiler unit as 1, 2.. N in sequence, wherein N is the sum of the number of the user unit, the power generation unit, the cogeneration unit and the boiler unit;
(2b) for the unit i, when the unit i is a user unit or a power generation unit or a cogeneration unit, the corresponding distributed computation module i iteratively computes the electric quantity coordination parameter of the unit i through the following formula,
wherein
The value of the obtained co-parameter, g, for the k-th calculation of unit iiIs the current power generation of cell i, diIs the current power demand of unit i,
the value of the electric quantity sold to the unit j by the unit i obtained by the k calculation,
for the electric quantity value sold from the unit j to the unit i obtained by the k-th calculation, the electric quantity cooperative parameter is selected during the first calculation
Initial value of
(2c) For the unit i, when the unit i is a cogeneration unit or a boiler unit, the corresponding distributed computing module i iteratively computes the heat coordination parameter of the unit i through the following formula,
wherein
The heat quantity synergistic parameter obtained by the k calculation, h is the sum of the heat quantity requirements of all units,
calculating the gas purchase amount of the unit i obtained for the k iteration, wherein aiSelecting initial values of heat synergistic parameters for the energy conversion efficiency of the corresponding cogeneration unit or boiler unit at the time of first calculation
Preferably, step (3) comprises the following sub-steps,
(3a) according to the current electricity price and the gas price, a performance index function c is established, and the investment consumption for representing the power grid is as follows:
wherein p isijSelling electricity for the unit numbered i to the unit numbered j; if the unit numbered i or the unit numbered j corresponds to a boiler module, pij＝0；niGas price, s, for the unit numbered iiThe gas purchase amount is;
(3b) for the unit i, the unit i is iteratively updated by the corresponding intelligent computing module i through the following formula
Wherein argmin { } denotes the corresponding x that minimizes the function in bracesijAnd siA, beta are constant coefficients,
for the electric quantity value sold from unit i to unit j obtained by k step calculation, selecting initial value when first calculating
And
preferably, the electricity selling price p of electricity sold by the power generation unit to other units when the solar power generation unit or the wind power generation unit is involvedijSelling price p of electricity to other units lower than electricity generation of unit not related to solar power generation unit or wind power generation unitji。
Preferably, the synergy parameter
Initial value, synergistic parameter
Initial value,
Initial value sum
The initial value is optional.
In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:
(1) by using the blockchain system for information interaction, the user units are equivalent to energy subnets, and information interaction can be performed among the user units, so that the user units can find and transmit the information to the outside more easily when a fault occurs, and the reliability of a power grid is greatly enhanced. Meanwhile, the state of the user unit can be quickly transmitted to the block chain system and the distributed computing module, so that fault diagnosis can be carried out more quickly, the fault diagnosis efficiency is improved, and the reliability of a power grid is enhanced. The block chain system and the distributed computing module can send instructions to the user units with faults in real time through the network, and the instructions are used for removing the faults to enable the power grid to be recovered to be normal, so that the fault maintenance process is accelerated.
(2) By the scheduling method based on the block chain system, the power generation information and the power utilization schedule of the family users do not need to be transmitted among all the users, so that the privacy of the users is well protected.
(3) By the block chain system-based scheduling method, manual day-ahead scheduling of the power market is not needed, and labor resources are saved;
(4) the reliability of the operation of the power grid is effectively enhanced. Because the user unit can be a power generation end, a power utilization end, a power generation end and a user end, such as a home unit with a renewable energy power generation system, the flexible dispatching of power can be realized, the transmission distance is reduced, and the power generation and power utilization efficiency is improved. The utilization efficiency of energy can be improved through the electrical allocation of the power system.
(5) A price driving mechanism is set, and consumption of new energy power generation is promoted.
(6) Through the block chain system and the distributed computing module, the electricity and gas purchasing strategy can be selected on the premise of protecting the data privacy of the user and the power generation end, and the service time plan of the electric appliance is made for the user, so that the cost and the carbon dioxide emission of the power generation end are reduced, the user can participate in scheduling by reasonably arranging the service time of the electric appliance, and the technical effect of reducing the impact on a power grid is further achieved; meanwhile, the combination of the two technical means can also reasonably reduce the electricity utilization cost of users. Namely, the block chain system and the distributed computing module are used for selecting electricity and gas purchasing strategies for the power generation end and the heat supply end, and the service time plan of the electric appliance is made for the user, so that the technical effects of bringing economic benefits to the power generation end, the heat supply end and the user and further enhancing the reliability of the power grid can be achieved.
(7) The electricity generation and utilization are only traded inside the island, thereby reducing the cost of power and heat delivery.
(8) The adoption of the intelligent acceleration algorithm provided by the invention to select the electricity and gas purchasing strategy can ensure the reliability of the whole decision process. Although the electric load at the load end is time-varying in the real-time power dispatching process, as long as the variation rate of the electric load is lower than the calculation convergence rate of the intelligent acceleration algorithm provided by the invention, the intelligent acceleration algorithm can be used for processing the time-varying loads, so that the reliability of the power dispatching process is ensured.
Example two
As shown in fig. 1 and fig. 2, the intelligent scheduling system for the islanding microgrid in this embodiment includes a plurality of user units, a plurality of power generation units, a plurality of cogeneration units, and a plurality of boiler units, which are connected to each other, and the user units, the power generation units, the cogeneration units, and the boiler units are connected to each other two by two. The household electric appliance comprises a household unit, an intelligent instrument, a photovoltaic power generation module, a wind power generation module and an electric automobile, wherein the household unit comprises household appliances such as a refrigerator, a washing machine, a dish washing machine, an electric lamp and a television, the intelligent instrument measures the generated energy of the household unit, the consumed electric quantity and the heat quantity, and predicts the electricity consumption demand and the heat demand of a user; the cogeneration unit takes natural gas as a raw material and can output electric energy and supply heat to the outside, and the heat supply and the power supply of the cogeneration unit are positioned in a feasible working interval; the boiler unit takes natural gas as a raw material and supplies heat to the outside.
The intelligent dispatching system of the island microgrid also comprises a calculation and storage module, wherein the calculation and storage module comprises a plurality of intelligent calculation modules, and the intelligent calculation modules are used for distributively calculating the electric quantity purchased or sold from the regional power grid by each user unit taking a family as a unit, the heat supply quantity purchased from each cogeneration unit, and forming a power purchase/power transmission instruction and a heat supply instruction which are transmitted to the corresponding family user units based on the electricity price, the gas price, the transmission cost and the wireless communication network. The method comprises the following steps that a user unit is not provided with heating equipment and adopts a centralized heating mode for heating, wherein purchased electricity is only used for non-heating requirements in a family, the heating requirements are met through a boiler heating or cogeneration system, heat supply and electric quantity purchased from various cogeneration modules are purchased from the boiler unit, and in a day-ahead scheduling stage, electricity purchasing and gas purchasing strategies are selected through an intelligent computing module to ensure that the system runs in a working mode with maximized economic benefits; in the real-time operation process, on the basis of the time-of-use electricity price, the service time plan of the electric appliances is made for the user through the intelligent computing module, and the service time of each electric appliance is planned in a mode of maximizing economic benefits for the user.
Through the scheme, the energy supply and demand balance of the whole power grid is met. The optimal instruction is obtained through distributed operation by combining the energy excess and shortage of each user, and the optimal instruction is sent out to control the power generation and power transmission of each user.
When the electric power is scheduled, when the electric quantity is insufficient, the electric power is scheduled according to the following priority: the power utilization requirements of strategic users are met firstly, and then the power utilization requirements of other users are met.
Preferably, the user unit is equipped with a heat engine, a photovoltaic, a wind power generation, an electric automobile, an elastic load, and the like.
Preferably, the intelligent computing module further comprises a carbon dioxide authentication link, the optimization target comprises a carbon dioxide emission index, and by minimizing the total economic index, not only can cost control be optimized, but also the use of clean energy can be promoted.
As shown in fig. 3, in the scheduling method of the intelligent scheduling system for the island microgrid adopted in this embodiment, the number of the intelligent computing modules is equal to the sum of the numbers of the user units, the power generation units, and the cogeneration units, each intelligent computing module corresponds to one user unit, one power generation unit, one cogeneration unit, or one boiler unit, and each intelligent computing module is in wireless communication, that is, information can be transmitted between any two intelligent computing modules through wireless communication. In the day-ahead scheduling stage, the intelligent calculation module selects electricity and gas purchasing strategies of each user unit, each power generation unit and each cogeneration unit through an accelerated intelligent algorithm, and the accelerated intelligent algorithm specifically comprises the following steps:
(1) the plurality of calculation modules respectively acquire the electricity purchasing information, the gas purchasing information, the selling information of the electricity sold to other user units and the heat demand of each user unit from other user units, the electricity generation unit and the cogeneration unit which are obtained by the previous step through calculation from the corresponding user units, the electricity generation unit and the cogeneration unit through a communication network;
(2) each intelligent calculation module calculates and stores corresponding collaborative parameters based on the correspondingly acquired electricity purchasing quantity information, the correspondingly acquired gas purchasing quantity information and the correspondingly acquired electricity selling quantity information;
(3) each intelligent calculation module calculates and stores corresponding electricity purchasing amount information, corresponding gas purchasing amount information and corresponding electricity selling amount information based on the corresponding electricity purchasing amount information, corresponding gas purchasing amount information and corresponding electricity selling amount information which are obtained by the corresponding intelligent calculation module and corresponding collaborative parameters obtained by the previous calculation;
(4) repeating the steps (1) to (3) until the difference value between the purchased gas amount information and the sold electricity amount information does not exceed a set threshold value after the purchased electricity amount information and the sold electricity amount information are calculated for two adjacent times;
(5) each user unit, the power generation unit, the cogeneration unit and the boiler unit acquire the corresponding electricity purchasing information, gas purchasing information and electricity selling information obtained by the last calculation in a distributed manner from the intelligent calculation module, and perform power production and heat supply energy production based on the information;
(6) each user unit, the power generation unit, the cogeneration unit and the boiler unit supply electricity and heat.
Preferably, step (2) comprises the following sub-steps:
(2a) numbering a user unit, a power generation unit and a cogeneration unit as 1,2,. N in sequence; wherein N is the sum of the number of the user units, the power generation units, the cogeneration units and the boiler units;
(2b) for the unit i, when the unit i is a user unit or a power generation unit or a cogeneration unit, the corresponding distributed computation module i iteratively computes the electric quantity coordination parameter of the unit i through the following formula,
wherein
The value of the obtained co-parameter, g, for the k-th calculation of unit iiIs the current power generation of cell i, diIs the current power demand of unit i,
the value of the electric quantity sold to the unit j by the unit i obtained by the k calculation,
for the electric quantity value sold from the unit j to the unit i obtained by the k-th calculation, the electric quantity cooperative parameter is selected during the first calculation
Initial value of
(2c) For the unit i, when the unit i is a cogeneration unit or a boiler unit, the corresponding distributed computing module i iteratively computes the heat coordination parameter of the unit i through the following formula,
wherein
The heat quantity synergistic parameter obtained by the k calculation, h is the sum of the heat quantity requirements of all units,
calculating the gas purchase amount of the unit i obtained for the k iteration, wherein aiSelecting initial values of heat synergistic parameters for the energy conversion efficiency of the corresponding cogeneration unit or boiler unit at the time of first calculation
Preferably, step (3) comprises the following sub-steps:
(3a) according to the current electricity price and the gas price, a performance index function c is established, and the investment consumption for representing the power grid is as follows:
wherein p isijSelling electricity for the unit numbered i to the unit numbered j; if the unit numbered i or the unit numbered j corresponds to a boiler module, pij＝0；niGas price, s, for the unit numbered iiThe gas purchase amount is;
(3b) for the unit i, the unit i is iteratively updated by the corresponding intelligent computing module i through the following formula
Wherein argmin { } denotes the corresponding x that minimizes the function in bracesijAnd siA, beta are constant coefficients,
for the electric quantity value sold from unit i to unit j obtained by k step calculation, selecting initial value when first calculating
And
preferably, the electricity generating units related to solar or wind power generation are switched to othersSelling price p of unit selling electricityijLower than the selling price p of selling electricity from the generating unit not related to solar power generation or wind power generation to other unitsji。
Preferably, the electric quantity is a parameter
Initial value and heat quantity cooperative parameter
Initial value,
Initial value sum
The initial value is optional.
In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:
(1) through information interaction among users, when a fault occurs, the fault is found and transmitted to the outside more easily, and therefore the reliability of the power grid is greatly enhanced. Meanwhile, the state of the user can be quickly transmitted to the intelligent computing module, and the fault diagnosis can be carried out more quickly by using the module, so that the fault diagnosis efficiency is accelerated, and the reliability of the power grid is enhanced.
(2) By the scheduling method, the day-ahead scheduling of the power market is not needed manually, and labor resources are saved.
(3) The reliability of the operation of the power grid is effectively enhanced. Because the user can be the electricity generation end, can be the power consumption end, also can be both the electricity generation end and the user side, for example possess the family of renewable energy power generation system to can realize the nimble dispatch of electric power, reduce transmission distance, electricity generation and power consumption efficiency obtain promoting. The utilization efficiency of energy can be improved through the electrical allocation of the power system.
(4) A price driving mechanism is set, and consumption of new energy power generation is promoted.
(5) Through the intelligent computing module, electricity and gas purchasing strategies can be selected, and a service time plan of the electric appliance is made for a user, so that the cost of a power generation end and the emission of carbon dioxide are reduced, the user can participate in scheduling by reasonably arranging the service time of the electric appliance, and the technical effect of reducing the impact on a power grid is further achieved; meanwhile, the combination of the two technical means can also reasonably reduce the electricity utilization cost of users. The intelligent calculation module selects electricity and gas purchasing strategies for the power generation end and the heat supply end, the service time plan of the electric appliance is made for the user, economic benefits can be brought to the power generation end, the heat supply end and the user, and the technical effect of further enhancing the reliability of the power grid can be achieved.
(6) The adoption of the intelligent acceleration algorithm provided by the invention to select the electricity and gas purchasing strategy can ensure the reliability of the whole decision process. Although the electric load at the load end is time-varying in the real-time power dispatching process, as long as the variation rate of the electric load is lower than the calculation convergence rate of the intelligent acceleration algorithm provided by the invention, the intelligent acceleration algorithm can be used for processing the time-varying loads, so that the reliability of the power dispatching process is ensured.
Claims (3)
1. An intelligent dispatching system of an island microgrid is characterized by comprising a plurality of user units, a plurality of power generation units, a plurality of cogeneration units and a plurality of boiler units which are connected with one another, wherein the user units, the power generation units, the cogeneration units and the boiler units are connected in pairs, the user units, the power generation units and the cogeneration units are independent of a main grid respectively, and electric energy and heat energy are exchanged and consumed only in regions; the user unit comprises electric equipment or electric appliances, a photovoltaic power generation module, a wind power generation module and an electric automobile; the cogeneration unit takes natural gas as a raw material, outputs electric energy and supplies heat to the outside, and the heat supply and the power supply of the cogeneration unit are positioned in a feasible working interval; the boiler unit takes natural gas as a raw material and supplies heat to the outside;
the intelligent dispatching system of the island microgrid also comprises a calculation and storage module, the calculation and storage module comprises a plurality of intelligent calculation modules, the intelligent calculation modules calculate the electric quantity purchased or sold by the user units from the power generation units, the cogeneration units and other user units in a distributed manner based on electricity price, gas price, transmission cost and a distributed network, the heat supply purchased from each cogeneration unit or boiler unit is formed and transmitted to the corresponding units, no heating equipment is arranged in the user units, the centralized heating mode is adopted, the electricity purchased by the user units is only used for non-heat supply, the heat supply demand of the user units is met by the boiler unit heat supply or cogeneration units, the heat supply and the electric quantity purchased from each cogeneration unit, the electric quantity is purchased from the power generation units, the heat quantity is purchased from the boiler units, in the day-ahead scheduling stage, an electricity and gas purchasing strategy is selected through an intelligent computing module, and the systematic operation in a working mode with the maximized economic benefit is ensured; in the real-time operation process, based on the time-of-use electricity price, a service time plan of the electric appliances or the electric equipment is made for a user through an intelligent computing module, and the service time of each electric appliance or electric equipment is planned in a mode of maximizing economic benefits for the user;
the number of the distributed intelligent computing modules is equal to the sum of the numbers of the user units, the power generation units, the cogeneration units and the boiler units, each intelligent computing module corresponds to one user unit or one power generation unit or one cogeneration unit or one boiler unit, electric quantity transaction and heat supply among the units are recorded and stored through a block chain system through block chain authentication, and the purchase and sale electric quantity information and the heat supply information among the units and the purchase gas quantity information of the cogeneration units and the boiler units are obtained through the block chain system; the distributed network is formed by all intelligent computing modules, the network topologies corresponding to the distributed network are communicated, and the communicated intelligent computing modules are in equivalent communication; the heat demand of the user unit is supplied by the cogeneration unit and the boiler unit, and is preferentially supplied by the cogeneration unit; in the scheduling stage before the day, the intelligent computing module selects a user unit, a power generation unit, a cogeneration unit and a boiler unit to purchase electricity and gas through an accelerated intelligent algorithm, wherein the accelerated intelligent algorithm specifically comprises the following steps:
(1) the intelligent calculation module respectively authenticates from the block chain system, and acquires the electricity purchasing information, the gas purchasing information, the electricity selling information to other units and the heat demand of the user unit, which are calculated by other intelligent calculation modules, from other user units, the electricity generation unit and the cogeneration unit;
(2) each intelligent calculation module calculates and stores corresponding collaborative parameters based on the correspondingly acquired electricity purchasing quantity information, the correspondingly acquired gas purchasing quantity information and the correspondingly acquired electricity selling quantity information;
(3) each intelligent calculation module calculates and stores corresponding electricity purchasing information, gas purchasing information and electricity selling information based on the corresponding electricity purchasing information, gas purchasing information and electricity selling information which are obtained by the intelligent calculation module and corresponding collaborative parameters obtained by the intelligent calculation module in the last calculation, the current corresponding electricity price and gas price,
(4) judging whether the difference value of the electricity purchasing quantity and the air purchasing quantity calculated by the intelligent calculation module twice in the adjacent process does not exceed a set threshold value;
(4a) if the difference value between the electricity purchasing quantity and the gas purchasing quantity calculated in two adjacent times does not exceed the set threshold value, each intelligent calculation module submits the information of the electricity purchasing quantity and the gas purchasing quantity calculated by the intelligent calculation module to the block chain system, and the step (5) is executed;
(4b) if the difference value of the purchased and sold electricity or the purchased gas amount calculated in two adjacent times exceeds a set threshold value, returning to the step (1);
(5) each user unit, the power generation unit, the cogeneration unit and the boiler unit acquire the corresponding electricity purchasing information, gas purchasing information and electricity selling information obtained by the last calculation from the block chain system in a distributed manner, and perform power production and heat supply heat energy production based on the information;
(6) each user unit, the power generation unit, the cogeneration unit and the boiler unit carry out distributed electricity purchasing and selling transactions and heat supply transactions through a block chain system, and carry out electricity supply and heat supply;
the step (2) specifically comprises the following steps:
(2a) numbering a plurality of user units, a plurality of power generation units, a plurality of cogeneration units and a plurality of boiler units as 1,2, … N in sequence, wherein N is the sum of the numbers of the user units, the power generation units, the cogeneration units and the boiler units;
(2b) for the unit i with the number i, i is 1,2, … N, when the unit is a user unit or a power generation unit or a cogeneration unit, the electric quantity coordination parameter of the corresponding intelligent calculation module i is calculated iteratively through the following formula,
wherein
The value of the obtained co-parameter, g, for the k-th calculation of unit iiIs the current power generation of cell i, diIs the current power demand of unit i,
the value of the electric quantity sold to the unit j by the unit i obtained by the k calculation,
for the electric quantity value sold from the unit j to the unit i obtained by the k-th calculation, the electric quantity cooperative parameter is selected during the first calculation
Initial value of
(2C) For the unit i, when the unit i is a cogeneration unit or a boiler unit, the corresponding intelligent calculation module i iteratively calculates the heat coordination parameter thereof by the following formula,
wherein
The heat quantity synergistic parameter obtained by the k calculation, h is the sum of the heat quantity requirements of all units,
calculating the gas purchase amount of the unit i obtained for the k iteration, wherein aiSelecting initial values of heat synergistic parameters for the energy conversion efficiency of the corresponding cogeneration unit or boiler unit at the time of first calculation
2. The island microgrid intelligent scheduling system of claim 1, wherein the step (3) comprises the following steps,
(3a) according to the current electricity price and gas price, a performance index function c is established for representing the investment consumption of the power grid,
wherein p isijA price of electricity sold to unit j for unit i; if either unit i or unit j is a boiler unit, then pij＝0；niGas price, s, for natural gas purchase for Unit iiThe gas purchase amount is;
(3b) for the unit i, the unit i is iteratively updated by the corresponding intelligent computing module i through the following formula
Wherein argmin { } denotes the corresponding x that minimizes the function in bracesijAnd siThe value of (a) is,alpha and beta are constant coefficients,
for the electric quantity value sold from unit i to unit j obtained by k step calculation, selecting initial value when first calculating
And
3. the intelligent dispatching system of island microgrid of claim 2, characterized in that electricity selling price p of electricity selling from power generation unit related to solar power generation or wind power generation to other unitsijLower than the selling price p of selling electricity from the generating unit not related to solar power generation or wind power generation to other unitsji。
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