CN112884265A - Intelligent management method applied to network source coordination of urban power grid - Google Patents
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Abstract
The invention relates to an intelligent management method applied to network source coordination of an urban power grid, which comprises the steps of firstly inputting load/power supply data; then the distribution network reports load information to a power transmission network dispatching center; then, the power transmission network dispatching center calculates the peak clipping and valley filling effects brought by the load curve of the power distribution network; then the power transmission network dispatching center judges whether a load curve of the power distribution network meets dispatching requirements or not; then the power transmission network dispatching center issues a load curve, and the power distribution network executes the load curve; then, the power transmission network makes a power generation plan and a scheduling scheme; and finally, issuing a scheduling scheme. The invention provides a longitudinal interactive scheduling mode of various energy sources among power transmission and distribution networks, based on an advanced measurement and control system of an intelligent power grid, schedulable resources of a distributed power supply and a centralized power supply are coordinated among scheduling mechanisms of each layer of the power grid, and longitudinal interaction between the power transmission network and the power distribution network in a wide distribution area is realized, so that optimal safety, economic and environmental benefits are obtained.
Description
Technical Field
The invention belongs to the technical field of electrical information, and particularly relates to an intelligent management method applied to network source coordination of an urban power grid.
Background
With the development of society, the consumption of energy is continuously increasing. The current energy structure is mainly primary energy, which brings great challenges to the sustainability of the world energy supply and also brings great environmental problems [1 ]. Renewable energy is vigorously developed, and a distributed terminal comprehensive energy unit and a centralized energy supply network coupled with the distributed terminal comprehensive energy unit are constructed through reasonable planning and operation optimization control of an electricity/gas/heat comprehensive energy system, so that the renewable energy becomes an important form of future energy development. Coupling complementation and cascade utilization of various energy forms are beneficial to reducing impact of distributed energy fluctuation on a power grid and promoting development and application of renewable energy. From the perspective of energy utilization, various energy systems have correlation and complementarity on different time scales, and can store and supply energy on multiple time scales.
The comprehensive energy system is an important physical carrier of an energy internet and undertakes the tasks of energy conversion, distribution, storage and the like of electricity, heat, cold and the like. The integrated energy system may be divided into a trans-regional level, an area level and a user level according to geographical factors and energy transmission/distribution/use characteristics. The trans-regional comprehensive energy system takes a centralized power supply of a large wind farm, a hydraulic power plant and the like as a main energy source, takes a large power transmission and gas transmission network as a backbone network frame, and mainly plays a role in remote energy transmission. The urban comprehensive energy has the characteristics of cleanness, distribution, interconnectivity, intellectualization, flexibility and openness:
the aim of the operation scheduling of the energy internet is to reduce the total power generation cost of the distributed power supply while ensuring the whole real-time power balance of the energy internet, which is equivalent to converting the economic scheduling problem into the problem of increment cost consistency in the power distribution process. Therefore, the real-time power distribution problem in the energy Internet operation scheduling is of great significance. Modeling and solving of the optimization scheduling problem of the integrated energy system are two closely related processes, and the solving method of the optimization problem is generally divided into two main types: namely, the Heuristic Methods (Heuristic Methods) and the Mathematical Optimization Methods (Mathematical Optimization Methods). The typical representation of the heuristic method is an intelligent algorithm, and the mathematical optimization method is most widely applied as a mathematical programming method.
The mathematical programming method can provide an accurate optimal solution in a short time and also can provide a proof for the optimality of the solution, but the mathematical programming method is generally applicable to a certain type of problems and has special requirements on the mathematical form and convexity of the problems. While in the solution of non-convex (discrete, combinatorial) problems, the mathematical programming method cannot guarantee the global optimality of the solution. The mathematical programming method also includes various types, such as an interior point method, a simplex method, a benders decomposition method, and the like. However, the mathematical programming method is greatly influenced by the targets, the variable types (such as continuous type, discrete type and integer type) of the mathematical programming model, the forms (linear and nonlinear) of the constraint conditions, the number of the targets (single target and multi-target) and the convexity of the problem, so that the optimization problems are classified into different mathematical programming types according to the characteristics of the optimization problems, and then the mathematical programming method is selected according to the actual optimization problems. The intelligent algorithm generally searches for an approximate global optimal solution with a certain probability by customizing a search rule in advance and adopting a group search mode. Compared with the prior art, the intelligent algorithm has more advantages in the aspects of processing combination, non-linearity and non-convex problems, and even the optimal solution of the problem can be found in the probability sense only by mastering the interrelation of the optimization variables and the optimization results. Through group search, the intelligent algorithm can find the global optimal solution approximate value of the optimization problem within limited time, and is also suitable for being applied to the multi-objective optimization problem. There are many kinds of intelligent algorithms, such as particle swarm algorithm, genetic algorithm, simulated annealing method, etc., and the deficiency lies in: the method is characterized by being possible to fall into a local optimal solution, not being capable of theoretically confirming the global optimality of the solution, long in calculation time, large in convergence influence of the selection of an initial point and algorithm parameters, and certain in randomness of an optimization result.
In recent years, with the development of distributed power generation technology, most scholars focus on the research on the comprehensive energy system at the regional level, but the research on the multi-energy coordination comprehensive management of the urban power grid under the application of large-scale clean energy is lack of targeted research. On the other hand, the traditional dispatching mode is mainly to meet the power balance of the power grid to the maximum extent by dispatching the power supply at the power generation side. In a power system containing a large amount of intermittent renewable energy power generation, a power grid must adhere to a schedulable energy power generation mode so as to maintain the safe and stable operation of the power grid. When the proportion of the grid-connected capacity of the intermittent energy is large, the full consumption of the intermittent energy cannot be realized only by adjusting the output of the unit; in addition, in order to reserve a reserve for intermittent energy power generation, a conventional energy unit has to operate for a long time at low efficiency, energy waste is caused indirectly, and the energy-saving and emission-reducing value of new energy power generation cannot be fully exerted. Therefore, the operation requirement of the new energy power system cannot be met only by the vertical dispatching mode from top to bottom on the power generation side, and a new dispatching mode must be researched. The invention hopes to solve the problem of urban power grid multi-energy coordination control under the application of large-scale clean energy based on the proposed day-ahead optimization scheduling model.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an intelligent management method applied to urban power grid source coordination, which adopts a brand-new longitudinal interaction mode of a transmission network and a distribution network in the intelligent management process of urban power grid source coordination.
The invention adopts the following specific technical scheme:
an intelligent management method applied to network source coordination of an urban power grid is characterized in that: the method comprises the following steps:
s11: input of load/power data;
s12: the power distribution network reports load information to a power transmission network dispatching center;
s13: the power transmission network dispatching center calculates the peak clipping and valley filling effects brought by the load curve of the power distribution network;
s14: the power transmission network dispatching center judges whether a load curve of a power distribution network meets dispatching requirements or not;
s15: the power transmission network dispatching center issues a load curve and the power distribution network executes the load curve;
s16: the power transmission network makes a power generation plan and a scheduling scheme;
s17: and issuing a scheduling scheme.
Furthermore, step S11 mainly involves predicting the load according to the historical change rule of the thermal load power load of the power distribution network, and the load prediction should also consider the influence of local consumption of the distributed power supply and the output of other energy devices connected to the power distribution network on the load prediction result, so as to obtain the load/power supply data at the power distribution network.
Furthermore, from the process of interaction between the power distribution network and the power transmission network, the scheduling process comprises the following steps:
the method includes the steps that the power distribution network is internally balanced according to self load and the power generation condition of the distributed power supply, a smooth load curve is achieved, the load curve is reported to a power transmission network dispatching center according to a smooth result, and the dispatching center calculates the peak shaving and valley filling effects brought by the load curve of the power distribution network;
secondly, the power transmission network dispatching center determines whether to adopt a load curve declared by the power distribution network according to a set standard on the level of the power transmission network;
if the willingness curve is not adopted, the unadopted information and the existing load curve are fed back to the power distribution network, the power distribution network corrects the willingness curve according to the new load curve, and the scheduling center checks the willingness curve after receiving the corrected willingness curve;
and if the load curve is adopted, directly issuing a load curve plan, and making a power generation plan and a scheduling scheme.
Furthermore, in the second step, the power transmission network dispatching center needs a fixed-value power generation plan and a dispatching scheme after the load curve is issued;
the energy equipment comprises power generation equipment, heat production equipment and cogeneration equipment; the power generation equipment comprises various power generation units; the heat production equipment comprises a heat storage boiler, a heat pump and an electric heating boiler; cogeneration units are mainly conventional thermal power plants.
In steps S12, S13, and S14, the main contents of the vertical interactive scheduling mode and the power system source-load interactive scheduling mode between the power transmission and distribution networks include:
the scheduling center of the power transmission network comprises: on one hand, complementary characteristics among various power forms are exerted according to the power prediction result of the centralized renewable energy power generation situation, a power generation plan and a scheduling scheme are optimized, and interaction and coordination are carried out between the power generation plan and the power distribution network, so that the power distribution network becomes an important peak regulation means of the power transmission network;
a network dispatching center is arranged: different interaction modes are adopted for the distributed power supply according to three access modes of the distributed renewable energy;
for the household access distributed power supply, the distribution network dispatching center adopts a proper demand response mode to interact with the power generation curve of the distributed power supply, so that the aim of smoothing a load curve or shifting a peak is fulfilled;
for distributed power sources accessed to a microgrid. The distribution network dispatching center carries out information interaction with the microgrid through a communication system, and an energy management dispatching system in the distribution network dispatching center realizes dispatching of the distributed power supplies;
for the distributed power supply directly connected to the power distribution network, a free/local/coordinated scheduling mode can be adopted according to the actual situation;
the community/building/family energy management system comprises: the method for the coordination and the dispatching of the load, the distributed energy sources and the stored energy on the demand side is a distributed energy consumption method.
Further, in steps S15 and S16, the thermoelectric day-ahead integrated scheduling model objective function and constraint conditions are established, and the result is calculated.
In step S17, the operation mode department participates in the formulation of the relevant power generation dispatching rules and regulations, is responsible for collecting and reporting the relevant data of the power generation dispatching work, is responsible for the stable calculation and the safety check work of the governed power grid, is responsible for the electric load prediction and the dispatching plan formulation of the governed power grid, and is responsible for the construction of the power generation dispatching technology platform; the dispatching department is responsible for executing power generation dispatching and power generation planning curves according to the principle of power generation dispatching, and carrying out temporary adjustment on the power generation planning curve dispatching; and the automation department is responsible for the construction, maintenance, plant station coordination and the like of the power generation scheduling technical support system.
The invention has the advantages and beneficial effects that:
in the invention, firstly, load/power supply data is input; then the distribution network reports load information to a power transmission network dispatching center; then, the power transmission network dispatching center calculates the peak clipping and valley filling effects brought by the load curve of the power distribution network; then the power transmission network dispatching center judges whether the load curve of the power distribution network meets the dispatching requirement; then the power transmission network dispatching center issues a load curve, and the power distribution network executes the load curve; then the power transmission and distribution network makes a power generation plan and a scheduling scheme; and finally, issuing a scheduling scheme. The invention provides a longitudinal interactive scheduling mode of various energy sources among power transmission and distribution networks, based on an advanced measurement and control system of an intelligent power grid, schedulable resources of a distributed power supply and a centralized power supply are coordinated among scheduling mechanisms of each layer of the power grid, and longitudinal interaction between the power transmission network and the power distribution network in a wide distribution area is realized, so that optimal safety, economic and environmental benefits are obtained.
Drawings
FIG. 1 is a flow chart of a longitudinal interaction pattern of a transmission and distribution network;
FIG. 2 is a schematic diagram of a vertical interactive dispatch mode between a power transmission and distribution network;
FIG. 3 is a flowchart of a scheduling operation of a cogeneration unit;
FIG. 4 is a graph of urban grid load and new energy forecast;
FIG. 5 is a typical day-wide energy effort diagram;
FIG. 6 is a graph of the actual output and load of the renewable energy source;
FIG. 7 is a type and group processing analysis.
Detailed Description
The present invention is further described in the following examples, but the technical content described in the examples is illustrative and not restrictive, and the scope of the present invention should not be limited thereby.
An intelligent management method applied to network source coordination of an urban power grid is disclosed, as shown in figures 1-5, and the innovation of the method is as follows: comprises the following steps:
s11: input of load/power data;
s12: the power distribution network reports load information to a power transmission network dispatching center;
s13: the power transmission network dispatching center calculates the peak clipping and valley filling effects brought by the load curve of the power distribution network;
s14: the power transmission network dispatching center judges whether a load curve of a power distribution network meets dispatching requirements or not;
s15: the power transmission network dispatching center issues a load curve and the power distribution network executes the load curve;
s16: the power transmission network makes a power generation plan and a scheduling scheme;
s17: and issuing a scheduling scheme.
Optimal safety, economic and environmental benefits are achieved by longitudinal interaction between the distributed wide area transmission network and the distribution network.
The load curve is reported and issued, and the power distribution network internally balances the load of the power distribution network and the power generation condition of the distributed power supply so as to achieve the aim of smoothing the load curve.
And reporting the load curve to a transmission network dispatching center according to the smoothing result, and determining whether to adopt the load curve declared by the power distribution network by the transmission network dispatching center on the level of the transmission network according to a set standard. If the wishly curve is not adopted, the unadopted information and the existing load curve are fed back to the power distribution network, the power distribution network corrects the wishly curve according to the new load curve, and the dispatching center checks the wishly curve after receiving the corrected wishly curve; if adopted, the load curve plan is released directly.
Renewable new energy fluctuation is absorbed by fully utilizing the adjusting capacity of the adjustable generator set and the heat storage equipment through the thermoelectric day-ahead integrated coordinated scheduling model, and then the optimal economic operation of the system is realized.
The model is decomposed into two sub-problems of power network optimization and heating system optimization through an alternating direction multiplier algorithm, and collaborative optimization of power supply energy flow and heating energy flow is formed through limited times of communication.
The method adopts a longitudinal interactive scheduling mode of various energy sources among power transmission and distribution networks, based on an advanced measurement and control system of the smart power grid, and coordinates schedulable resources of distributed power supplies and centralized power supplies among scheduling mechanisms of each layer of the power grid, so that longitudinal interaction between the power transmission network and the power distribution network which are distributed in a wide area is realized, and the optimal safety, economic and environmental benefits are obtained.
Furthermore, step S11 mainly involves predicting the load according to the historical change rule of the thermal load power load of the power distribution network, and the load prediction should also consider the influence of local consumption of the distributed power supply and the output of other energy devices connected to the power distribution network on the load prediction result, so as to obtain the load/power supply data at the power distribution network.
From the process angle of interaction between a power distribution network and a power transmission network, the scheduling process comprises the following steps:
the method includes the steps that the power distribution network is internally balanced according to self load and the power generation condition of the distributed power supply, a smooth load curve is achieved, the load curve is reported to a power transmission network dispatching center according to a smooth result, and the dispatching center calculates the peak shaving and valley filling effects brought by the load curve of the power distribution network;
secondly, the power transmission network dispatching center determines whether to adopt a load curve declared by the power distribution network according to a set standard on the level of the power transmission network;
if the willingness curve is not adopted, the unadopted information and the existing load curve are fed back to the power distribution network, the power distribution network corrects the willingness curve according to the new load curve, and the scheduling center checks the willingness curve after receiving the corrected willingness curve;
and if the load curve is adopted, directly issuing a load curve plan, and making a power generation plan and a scheduling scheme.
In the second step, the power transmission network dispatching center needs a fixed-value power generation plan and a dispatching scheme after the load curve is issued; the energy equipment comprises power generation equipment, heat production equipment and cogeneration equipment; the power generation equipment comprises various generator sets; the heat production equipment comprises a heat storage boiler, a heat pump and an electric heating boiler; cogeneration units are mainly conventional thermal power plants.
Furthermore, in steps S12, S13 and S14, the dynamic interaction process between the distribution network and the transmission network is as shown in fig. 2, and the main contents of the vertical interactive scheduling mode and the power system source-load interactive scheduling mode between the transmission and distribution networks include:
the scheduling center of the power transmission network comprises: on one hand, complementary characteristics among various power supply forms are fully exerted according to a power prediction result of a centralized renewable energy power generation situation, a power generation plan and a scheduling scheme are optimized, and interaction and coordination are carried out between the power generation plan and a power distribution network, so that the power distribution network becomes an important peak regulation means of a power transmission network.
A network dispatching center is arranged: and adopting different interaction modes for the distributed power supply according to the three access modes of the distributed renewable energy sources. For the household access distributed power supply, the distribution network dispatching center adopts a proper demand response mode to interact with the power generation curve of the distributed power supply, so that the aim of smoothing a load curve or shifting a peak is fulfilled. For distributed power supplies that access the microgrid. The distribution network dispatching center carries out information interaction with the microgrid through the communication system, and the energy management dispatching system in the distribution network dispatching center realizes dispatching of the distributed power supplies. For the distributed power supply directly connected to the power distribution network, a free/local/coordinated scheduling mode can be adopted according to the actual situation.
The community/building/family energy management system comprises: the distributed power supply advocates the original rules of near grid connection, near conversion and near use, and effectively solves the problem of loss of electric power in boosting and long-distance transportation. With the maturation of photovoltaic cell technology, distributed photovoltaic power generation facilities enable community/building/home distributed power and are a "self-generated self-selling," self-managed model. By combining the concept of demand side management, the coordinated scheduling of load, distributed energy and stored energy on the demand side is the distributed energy consumption method. For example, small distributed power supplies that are connected to a home unit are primarily considered for in-home consumption, and when the household electrical load cannot be fully consumed by the home distributed power supply, electricity is taken from the grid. After the distributed power supply is incorporated, the structure of the network is fundamentally changed, and the original single-power radial network is changed into a double-power or even multi-power network. The current no longer flows unidirectionally from the substation bus to the load, so that the relevant technical provisions are required to ensure safe and stable operation of the grid.
Further, in steps S15 and S16, the thermoelectric day-ahead integrated scheduling model objective function and constraint conditions are established, and the result is calculated. The process of model building is shown in fig. 3:
thermoelectric day-ahead integrated scheduling model objective function
The thermoelectric day-ahead integrated scheduling model takes the minimum requirement of system operation cost as a constraint function and comprises the quantity of electricity and heat purchased from the outside of the system in the t-th period; the amount of electricity and heat produced by the equipment in the system during period t; the electricity purchasing cost of the power grid; the power generation cost of the own equipment; the system heat purchasing cost; the heating cost of the own equipment, and the like.
Thermoelectric day-ahead integrated scheduling model constraint condition
Including but not limited to the following constraints: (1) in order to ensure the stable operation of the system, the system should ensure the supply requirements of the electric energy and the heat energy of the whole load at any time, namely the constraint of the thermal balance. (2) For a power supply line in the system, the power transmission amount of the power supply line cannot exceed the maximum power transmission amount under the condition of ensuring the safe operation of the line, namely the line safety constraint. (3) For the generator set in the system, the output constraint and the climbing constraint of the generator set are considered first. (4) Because in order to ensure the full utilization of renewable energy sources, a certain rotary reserve capacity, namely rotary reserve constraint, must be reserved for the generator set. (5) The heat storage amount of the heat storage tank is within the limit value, namely the restriction of the electric boiler and the restriction of the energy storage equipment.
Specific solutions to the model in FIG. 3 include, but are not limited to, solving using an alternating multiplier algorithm. Firstly, decomposing a complex optimization decision problem into a plurality of different sub-problems which are small and easy to solve, and solving through continuous iteration among the sub-problems until global convergence, thereby obtaining a global optimal solution of the original problem.
In the specific implementation process, the urban multi-energy coordination scheduling problem is decomposed into two sub-problems of power network optimization and heating system optimization. After decomposition, the total operation cost of the interconnected network system is also the lowest as the optimization target, the electric-thermal interconnected comprehensive energy system can be regarded as operating based on the limited number of information interaction, and the power grid dispatching mechanism and the heat supply network dispatching mechanism can be regarded as two separate decision-making main bodies, and the cooperative optimization of the power supply energy flow and the heat supply energy flow is formed through the limited number of communication.
In the power network optimization sub-problem, the coupling constraints of the electric heating will be considered in its objective function. At this time, the selected gas turbine-based electric-gas coupling relation is substituted into the objective function. And (5) optimizing an objective function of the sub-problem by the power grid.
In the natural gas network optimization subproblem, the selected electric-gas coupling relation based on the gas turbine is substituted into the objective function to obtain the objective function of the natural gas optimization subproblem.
And forming an optimization target by the two groups of objective functions, and considering the constraint conditions in the model, converting the optimization problem into an optimization problem and solving the optimization problem.
In step S17, in the implementation project, issuing the scheduling scheme involves multiple departments. The method specifically comprises an optimized scheduling system, a thermoelectric real-time monitoring system, a power generation scheduling optimization system and the like, and the scheduling work flow of the cogeneration unit is considered as shown in fig. 3. The operation mode department participates in the formulation of relevant regulations and regulations of power generation dispatching, is responsible for collecting and reporting relevant data of power generation dispatching work, is responsible for stable calculation and safety check work of the governed power grid, is responsible for power load prediction and dispatching plan formulation of the governed power grid, and is responsible for the construction of a power generation dispatching technical platform. The dispatching department is responsible for executing power generation dispatching and power generation planning curves according to the principle of power generation dispatching, and carrying out temporary adjustment on the power generation planning curve dispatching. The automation department is responsible for the construction, maintenance, plant station coordination and the like of a power generation scheduling technology support system (a thermoelectric real-time monitoring system and an information issuing system).
Examples
The calculation example is to perform calculation example analysis on a power grid of a certain city in south China, and the power grid power supply capacity ratio is shown in the following table:
the adjustment of the dispatching center on the load curve in the steps S13, S14 and S15 is shown in fig. 4, wherein the reduced load is mainly in a time period from 8:00 to 10:00 am, the power load in the time period is higher, the green clean energy output is lower, the output of the thermal power unit is also just increased, and the unit operation pressure is higher under the condition of considering the climbing constraint of the thermal power unit; therefore, after the load curve is reported to the power transmission network dispatching center, in order to reduce the climbing pressure of the thermal power generating unit, the load curve is rejected, the power distribution network dispatches the load again, and partial load is moved to night through a certain demand response method, so that the pressure of the unit is reduced, and the power generation output of the wind power generating unit at night is promoted. The actual wind turbine output before and after scheduling is shown in fig. 5, and it can be seen that the electric energy generated by the wind turbine at night before and after scheduling is better consumed, which is realized by adjusting the load curve, and meanwhile, because the load in the morning is higher, although the wind turbine output has a peak in the period, the system can still consume the wind turbine output, and the wind turbine output does not have obvious change before and after scheduling.
The actual force and load curves for the renewable energy source are shown in fig. 6.
The output analysis of each type of unit is shown in fig. 7: the thermal power generating unit is a main generating unit of a power grid, and the output of the thermal power generating unit accounts for more than half of the total load. The load changes regularly and mainly borne by the thermal power generating unit. After eight points, the load gradually climbs to a peak and remains at a higher level. At the moment, the eight thermal power generating units are all started, and rated output is achieved at 9 am. In consideration of the flexibility of hydroelectric power generation, a hydroelectric power generator set cannot always keep a higher output level; after 10 am, the hydroelectric power generation closely follows the load change, and mainly plays a role in peak regulation.
The comprehensive operation cost of the system for the traditional scheduling method is 10,268,850.3, and the comprehensive operation cost of the system for the method of the invention is 10,252,905, so that the method of the invention has higher economic benefit.
Claims (7)
1. An intelligent management method applied to network source coordination of an urban power grid is characterized in that: the method comprises the following steps:
s11: input of load/power data;
s12: the power distribution network reports load information to a power transmission network dispatching center;
s13: the power transmission network dispatching center calculates the peak clipping and valley filling effects brought by the load curve of the power distribution network;
s14: the power transmission network dispatching center judges whether a load curve of a power distribution network meets dispatching requirements or not;
s15: the power transmission network dispatching center issues a load curve and the power distribution network executes the load curve;
s16: the power transmission network makes a power generation plan and a scheduling scheme;
s17: and issuing a scheduling scheme.
2. The method of claim 1, wherein the method comprises: step S11 mainly relates to load forecasting according to the historical change rule of the distribution network thermal load power load, and the influence of the output of the distributed power supply and other energy devices connected to the distribution network on the load forecasting result should be considered while the load forecasting, so as to obtain the load/power supply data at the distribution network.
3. The method for calculating the grid-source coordination-based thermoelectric day-ahead scheduling model according to claim 1 or 2, wherein: from the process angle of interaction between a power distribution network and a power transmission network, the scheduling process comprises the following steps:
the method includes the steps that the power distribution network is internally balanced according to self load and the power generation condition of the distributed power supply, a smooth load curve is achieved, the load curve is reported to a power transmission network dispatching center according to a smooth result, and the dispatching center calculates the peak clipping and valley filling effects brought by the load curve of the power distribution network;
secondly, the power transmission network dispatching center determines whether to adopt a load curve declared by the power distribution network according to a set standard on the level of the power transmission network;
if the willingness curve is not adopted, the unadopted information and the existing load curve are fed back to the power distribution network, the power distribution network corrects the willingness curve according to the new load curve, and the scheduling center checks the willingness curve after receiving the corrected willingness curve;
and if the load curve is adopted, directly issuing a load curve plan, and making a power generation plan and a scheduling scheme.
4. The method of claim 3, wherein the method comprises: in the second step, the power transmission network dispatching center needs a fixed-value power generation plan and a dispatching scheme after the load curve is issued;
the energy equipment comprises power generation equipment, heat production equipment and cogeneration equipment; the power generation equipment comprises various generator sets; the heat production equipment comprises a heat storage boiler, a heat pump and an electric heating boiler; cogeneration units are mainly conventional thermal power plants.
5. The method of claim 4, wherein the method comprises: in steps S12, S13, and S14, the main contents of the vertical interactive scheduling mode and the power system source-load interactive scheduling mode between the power transmission and distribution networks include:
the scheduling center of the power transmission network comprises: on one hand, complementary characteristics among various power forms are exerted according to the power prediction result of the centralized renewable energy power generation situation, a power generation plan and a scheduling scheme are optimized, and interaction and coordination are carried out between the power generation plan and a power distribution network, so that the power distribution network becomes an important peak regulation means of a power transmission network;
a network dispatching center is arranged: different interaction modes are adopted for the distributed power supply according to three access modes of the distributed renewable energy;
for the household access distributed power supply, the distribution network dispatching center adopts a proper demand response mode to interact with the power generation curve of the distributed power supply, so that the aim of smoothing a load curve or shifting a peak is fulfilled;
for distributed power sources accessed to a microgrid. The distribution network dispatching center carries out information interaction with the microgrid through a communication system, and an energy management dispatching system in the distribution network dispatching center realizes dispatching of the distributed power supplies;
for the distributed power supply directly connected to the power distribution network, a free/local/coordinated scheduling mode can be adopted according to the actual situation;
the community/building/family energy management system comprises: the method for the coordination and the dispatching of the load, the distributed energy sources and the stored energy on the demand side is a distributed energy consumption method.
6. The method of claim 5, wherein the method comprises: in steps S15 and S16, a thermoelectric day-ahead integrated scheduling model objective function and constraint conditions are established, and the result is calculated.
7. The method of claim 6, wherein the method comprises: in step S17, the operation mode department participates in the formulation of the relevant rules and regulations of power generation dispatching, is responsible for collecting and reporting the relevant data of power generation dispatching work, is responsible for the stable calculation and safety check work of the governed power grid, is responsible for the prediction of the power load of the governed power grid and the formulation of dispatching plan, and is responsible for the construction of the power generation dispatching technology platform; the dispatching department is responsible for executing power generation dispatching and power generation planning curves according to the principle of power generation dispatching, and carrying out temporary adjustment on the power generation planning curve dispatching; and the automation department is responsible for the construction, maintenance, plant station coordination and the like of the power generation scheduling technical support system.
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