Time sequence operation simulation method considering comprehensive benefits of new energy delivery base

Abstract

The invention relates to the technical field of power systems, and particularly discloses a time sequence operation simulation method considering the comprehensive benefit of a new energy delivery base, and the method comprises the following steps: S1, constructing a new energy delivery base time sequence operation simulation model; s2, calculating comprehensive benefits of the new energy delivery base; and S3, solving the new energy delivery base time sequence operation simulation model to obtain an optimal new energy delivery base operation scheduling scheme. The fast solving method for the time sequence operation simulation model has the advantages that a non-dominated dung beetle optimization algorithm and a decomposition solving method are utilized, the solving scale and the solving time are reduced, and the purpose of fast solving is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power systems, and in particular to a time sequence operation simulation method taking into account the comprehensive benefits of a new energy transmission base. Background Art

[0002] Gansu Province has abundant natural resources such as sunlight and wind resources and vast land resources. It is an important region for the development of large-scale centralized new energy bases. DC transmission is an effective technical path to absorb the large-scale, centralized access to the fluctuating new energy system in Gansu. However, there is an unbalanced contradiction between the economy, environmental factors and utilization efficiency of the new energy transmission base, which is specifically manifested as follows: on the one hand, the new energy base pursues the benefits of electricity sales to recover the investment cost, and on the other hand, it puts forward requirements for carbon emissions. In addition, the volatility of wind power and photovoltaics also affects the transmission efficiency of the new energy base. How to consider the comprehensive benefits of the new energy transmission base is a key issue in the current commissioning and operation of the new energy transmission base.

[0003] Power system production simulation can simulate the power generation dispatching process in the actual operation of the power system and calculate the power generation of each generator set. It is an important tool for operation cost analysis, operation planning and reliability assessment. At present, there are a lot of research results. As an important technical means to study large-scale multi-energy power systems, power system production simulation needs to consider factors such as multi-energy complementarity, multi-energy power characteristics and uncertainty of new energy output. The literature Medium- and long-term coordinated operation model and method for multi-energy systems proposes a medium- and long-term operation model and method for multi-energy systems to achieve unified optimization of annual generator maintenance plans, hydropower electricity distribution and natural gas purchase and storage plans. The literature Multi-time scale production simulation of large-scale clean energy power systems proposes a multi-time scale sequential operation simulation model for large-scale new energy power systems. The medium- and long-term operation simulation targets the seasonal characteristics of new energy output, and the short-term operation simulation model targets the randomness of new energy output. The simulation results are comprehensive and accurate. The literature Distributed dispatch approach for bulk AC / DC hybrid systems with high wind power penetration proposes an operation model of high-voltage DC interconnection lines for large-capacity AC / DC hybrid transmission systems with high wind power penetration to promote the regulation of wind power between regions. Literature Two-level Optimal Dispatch of Regional Power System at the Sending End with Large-scale Wind Power Convergence and Transmission In view of the large-scale wind power convergence in the power system at the sending end, a two-level optimal dispatch model is proposed to realize the day-ahead optimal dispatch of the power system at the sending end. Literature Source-grid-load Multi-period Optimal Dispatch Method Considering Wind-solar-solar-thermal Combined DC Transmission In order to make full use of the flexible adjustment capacity of the UHV DC interconnection line, a source-grid-load multi-period coordinated optimization method considering wind-solar-solar-thermal combined DC transmission is proposed, which improves the utilization rate of wind and solar resources. Literature Flexible DC-pumped storage-thermal power combined dispatch planning model considering AC power grid security constraints proposes a flexible DC-pumped storage-thermal power combined dispatch planning model to achieve the effective formulation of the combined dispatch plan of flexible DC, pumped storage and thermal power and the maximum consumption of new energy. Literature Optimization Method for Medium- and Long-term Operation Mode of Large-scale New Energy Base Transmission System via UHV DC Proposes a time series simulation calculation method for 8760h throughout the year based on weekly calculation, which realizes the reasonable optimization of the medium- and long-term operation mode of the DC transmission system.

[0004] However, most of the above studies optimized a single objective. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a time sequence operation simulation method that takes into account the comprehensive benefits of a new energy export base.

[0006] The object of the present invention is achieved by the following technical solution: A time sequence operation simulation method considering the comprehensive benefits of a new energy delivery base comprises the following steps:

[0007] Step S1, constructing a time sequence operation simulation model of a new energy delivery base;

[0008] Step S2, calculating the comprehensive benefits of the new energy delivery base;

[0009] Step S3: Solve the time sequence operation simulation model of the new energy export base to obtain the optimal operation scheduling plan of the new energy export base.

[0010] Specifically, the constraints of the time sequence operation simulation model of the new energy delivery base include:

[0011] Wind and solar power generation output range constraints

[0012]

[0013] Where: They represent the wind power and photovoltaic power output at time t respectively; p w 、p s Respectively represent wind power and photovoltaic power at t

[0014] Theoretical output limit for the time period;

[0015] Thermal power unit operation constraints

[0016]

[0017] Where: t is the time period sequence; △t is the time span of a single time period; Indicates the output power of thermal power units; Express the minimum technical output of thermal power units; Indicates the rated output of thermal power units; is the number of thermal power units put into operation; is the maximum number of thermal power units put into operation; is the minimum number of thermal power units put into operation; Indicates the maximum climbing power of a single thermal power unit; Indicates the maximum ramp-down power of a single thermal power unit;

[0018] Operation constraints of CSP plants

[0019] Where: It represents the heat storage in the heat storage tank during period t; is the heat storage and release efficiency of the heat storage tank; They represent the heat storage power and heat release power of the heat storage tank in period t respectively; They represent the upper limits of the heat release power of the heat storage tank and the heat storage power of the heat storage tank respectively; Indicates the upper and lower limits of heat storage capacity of a single CSP power station; Indicates the output power of the generator set; Indicates the upper and lower limits of the output power of the generator set; is the number of CSP power stations put into operation; is the maximum number of CSP plants put into operation; η csp is the thermoelectric conversion efficiency, is the total irradiation power; is the abandoned light power; SF is the light-to-heat conversion efficiency; S is the mirror area; is the irradiance;

[0020] Electrochemical energy storage operation model

[0021]

[0022] Where: represents the charging and discharging power of the energy storage power station in period t; p bat Indicates the maximum charging and discharging power of the energy storage power station; is the charging and discharging state of the energy storage station in period t, both of which are 0-1 integer variables. When the energy storage power station discharges during period t And the charging and discharging states of the energy storage power station at the same time are mutually exclusive; Represents the amount of energy storage in the energy storage station during period t; η ch , η dc The charging and discharging efficiency of the energy storage power station; Indicates the maximum and minimum storage capacity of the energy storage power station;

[0023] Specifically, the constraints of the time sequence operation simulation model of the new energy delivery base also include:

[0024] Power balance constraints of new energy transmission bases

[0025]

[0026]

[0027] Where: PDCL t Indicates the medium- and long-term DC power transmission at time t; PDCX t It represents the DC spot delivered power at time t.

[0028] Specifically, the calculation formula for the comprehensive benefits of the new energy delivery base is as follows:

[0029]

[0030] Where: f h 、f c 、f ce 、f d They are DC utilization hours, net profit, carbon emissions, and peak-shaving and valley-filling electricity; represents the number of DC utilization hours in the kth week; C in is the revenue from electricity sales, which is calculated by multiplying the annual electricity sales by the inter-provincial electricity price; C cost is the annual cost of the base, which is calculated by multiplying the cost per kilowatt-hour by the amount of electricity generated; C gce is the carbon emission of thermal power; E bat To store energy to reduce peak power consumption.

[0031] Specifically, the method for solving the time sequence operation simulation model of the new energy delivery base includes:

[0032] Step S31, setting various power supply parameters and new energy base operation boundary conditions;

[0033] Step S32, simplifying constraints, setting initial power storage capacity and initial heat storage capacity;

[0034] Step S33, using the dung beetle optimization algorithm of non-dominated sorting to perform a preliminary solution to obtain a DC power boundary value;

[0035] Step S34: determine the minimum technical output of thermal power, spot trading duration, medium- and long-term trading cycle, proportion of new energy transmission and utilization rate of new energy as inputs of the timing operation simulation model of the new energy transmission base;

[0036] Step S35, solve the multi-objective comprehensive optimal solution for each week to obtain the multi-objective optimal solution for the whole year.

[0037] The present invention has the following advantages:

[0038] The present invention proposes a sequential operation simulation model that takes into account the comprehensive benefits of the new energy transmission base, clarifies the operating constraints of various types of power sources and the comprehensive benefit multi-objective optimization model, and aims to solve the problems of slow solution speed, large solution scale and long solution time in medium and long-term sequential operation simulation. The present invention proposes a fast solution method for the sequential operation simulation model, and uses the non-dominated dung beetle optimization algorithm and the decomposition solution method to reduce the solution scale and solution time, thereby achieving the purpose of fast solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the operation simulation method of the present invention;

[0040] Figure 2 This is a flowchart for quickly solving the simulation of the timing operation of the new energy delivery base of the present invention;

[0041] Figure 3 It is a simulation flow chart of the timing operation of the new energy delivery base of the present invention;

[0042] Figure 4 This is the result diagram of DC transmission power optimization;

[0043] Figure 5 Optimization results for single-week scheduling of various power sources;

[0044] Figure 6 Optimization results for the annual dispatch of various power sources; DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention, that is, the embodiments described are only part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0046] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0047] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including a..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0048] The present invention is further described below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description. Figures 1 to 6 As shown, a sequential operation simulation method considering the comprehensive benefits of a new energy transmission base includes the following steps:

[0049] Step S1, constructing a time sequence operation simulation model of a new energy delivery base;

[0050] Step S2, calculating the comprehensive benefits of the new energy delivery base;

[0051] Step S3, solve the simulation model of the time sequence operation of the new energy transmission base to obtain the optimal operation and dispatching scheme of the new energy transmission base. DC transmission is an effective technical path for absorbing the large-scale, centralized access to the fluctuating new energy system in Gansu, but there is a contradiction between the economy, environmental factors and utilization efficiency of the new energy transmission base that is difficult to balance, which is specifically manifested as follows: on the one hand, the new energy base pursues the benefits of electricity sales to recover the investment cost, and on the other hand, there are restrictions on carbon emissions. How to consider the comprehensive benefits of the new energy transmission base is the key issue in the current operation of the new energy transmission base. The present invention uses the tool of power system production simulation to optimize the comprehensive benefits of the new energy transmission base and obtain the optimal operation and dispatching scheme of the new energy transmission base.

[0052] Furthermore, the constraints of the time sequence operation simulation model of the new energy delivery base include:

[0053] Wind and solar power generation output range constraints

[0054]

[0055] Where: They represent the wind power and photovoltaic power output at time t respectively; p w 、p s Respectively represent wind power and photovoltaic power at t

[0056] Theoretical output limit for the time period;

[0057] Thermal power unit operation constraints

[0058]

[0059] Where: t is the time period sequence; △t is the time span of a single time period; Indicates the output power of thermal power units;

[0060] Express the minimum technical output of thermal power units; Indicates the rated output of thermal power units; is the number of thermal power units put into operation; is the maximum number of thermal power units put into operation; is the minimum number of thermal power units put into operation; Indicates the maximum climbing power of a single thermal power unit; Indicates the maximum ramp-down power of a single thermal power unit;

[0061] Operation constraints of CSP plants

[0062]

[0063] Where: It represents the heat storage in the heat storage tank during period t; is the heat storage and release efficiency of the heat storage tank; They represent the heat storage power and heat release power of the heat storage tank in period t respectively; They represent the upper limits of the heat release power of the heat storage tank and the heat storage power of the heat storage tank respectively; Indicates the upper and lower limits of heat storage capacity of a single CSP power station; Indicates the output power of the generator set; Indicates the upper and lower limits of the output power of the generator set; is the number of CSP power stations put into operation; is the maximum number of CSP plants put into operation; η csp is the thermoelectric conversion efficiency, is the total irradiation power; is the abandoned light power; SF is the light-to-heat conversion efficiency; S is the mirror area; is the irradiance;

[0064] Electrochemical energy storage operation model

[0065]

[0066] Where: represents the charging and discharging power of the energy storage power station in period t; p bat Indicates the maximum charging and discharging power of the energy storage power station; is the charging and discharging state of the energy storage station in period t, both of which are 0-1 integer variables.

[0067] When charging during the period When the energy storage power station discharges during period t And the charging and discharging states of the energy storage power station at the same time are mutually exclusive; Represents the amount of energy storage in the energy storage station during period t; η ch , η dc The charging and discharging efficiency of the energy storage power station; Indicates the maximum and minimum storage capacity of the energy storage power station;

[0068] Furthermore, the constraints of the time sequence operation simulation model of the new energy delivery base also include:

[0069] Power balance constraints of new energy transmission bases

[0070]

[0071] Where: PDCL t Indicates the medium- and long-term DC power transmission at time t; PDCX t It represents the DC spot delivered power at time t.

[0072] Furthermore, the comprehensive benefits of the new energy transmission base mainly include economic benefits, environmental factors, flexibility and DC channel utilization. Net profit, carbon emissions, peak-shaving and valley-filling electricity and DC utilization hours are used to quantify the economic benefits, environmental factors, flexibility and DC channel utilization of the Shagohuang new energy base. The calculation formula for the comprehensive benefits of the new energy transmission base is as follows:

[0073]

[0074]

[0075] Where: f h 、f c 、f ce 、f d They are DC utilization hours, net profit, carbon emissions, and peak-shaving and valley-filling electricity; represents the number of DC utilization hours in the kth week; C in is the revenue from electricity sales, which is calculated by multiplying the annual electricity sales by the inter-provincial electricity price; C cost is the annual cost of the base, which is calculated by multiplying the cost per kilowatt-hour by the amount of electricity generated; C gce is the carbon emission of thermal power; E bat To store energy to reduce peak power consumption.

[0076] Furthermore, in the mid- and long-term timing operation simulation, it is necessary to repeatedly call the solution to realize the full-cycle multi-scenario simulation, and the problem of computational efficiency is particularly prominent. The current solution mainly includes three aspects: decomposing the original problem into sub-problems that can be processed in parallel; reducing variables and constraints; using larger-scale computing resources. The present invention adopts the method of reducing some variables to solve the problems of low computational efficiency and long solution time of the timing operation model. The specific method is to simplify the constraints and then use the non-dominated sorting dung beetle optimization algorithm to perform a preliminary solution to the model. The solution result of the algorithm can be regarded as the DC power boundary value under this scenario, thereby reducing the scale of solution of the timing operation simulation model and reducing the solution time; the solution method of the timing operation simulation model of the new energy export base includes:

[0077] Step S31, setting various power supply parameters and new energy base operation boundary conditions;

[0078] Step S32, simplifying constraints, setting initial power storage capacity and initial heat storage capacity;

[0079] Step S33, using the dung beetle optimization algorithm of non-dominated sorting to perform a preliminary solution to obtain a DC power boundary value;

[0080] Step S34: determine the minimum technical output of thermal power, spot trading duration, medium- and long-term trading cycle, proportion of new energy transmission and utilization rate of new energy as inputs of the timing operation simulation model of the new energy transmission base;

[0081] Step S35, solve the multi-objective comprehensive optimal solution for each week to obtain the multi-objective optimal solution for the whole year. The new energy delivery base timing operation simulation model uses YALMIP to call the GUROBI solver on the MATLAB platform to perform multi-objective solutions;

[0082] The specific case simulation model is a new energy transmission base with a power supply configuration of 4 million kilowatts of wind power, 7 million kilowatts of photovoltaic power, 4 million kilowatts of peak-shaving coal power, 200,000 kilowatts of solar thermal power, and 2 million kilowatts of electrochemical energy storage (2 hours). The boundary indicators of the new energy transmission base are shown in Table 1.

[0083] Table 1 Case operation simulation indicators

[0084]

[0085]

[0086] The case is optimized and solved, and the results are as follows:

[0087] Table 2 Case simulation results

[0088]

[0089] Table 3 Case results of power delivery of various power sources

[0090]

[0091] The DC transmission power optimization result is as follows: Figure 4 ;

[0092] The optimization results of single-cycle scheduling of various power sources are as follows: Figure 5 ;

[0093] The optimization results of the annual dispatch of various power sources are as follows: Figure 6 .

[0094] The above is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any technician familiar with the art can make many possible changes and modifications to the technical solution of the present invention by using the above-mentioned technical content without departing from the scope of the technical solution of the present invention, or modify it into an equivalent embodiment of equivalent changes. Therefore, any changes, modifications, equivalent changes and modifications made to the above embodiments based on the technology of the present invention without departing from the content of the technical solution of the present invention belong to the protection scope of the present technical solution.

Claims

1. A time sequence operation simulation method considering the comprehensive benefits of a new energy delivery base, characterized by: The following steps are involved: Step S1, constructing a time sequence operation simulation model of a new energy delivery base; Step S2, calculating the comprehensive benefits of the new energy delivery base; Step S3: Solve the time sequence operation simulation model of the new energy export base to obtain the optimal operation scheduling plan of the new energy export base.

2. According to claim 1, a sequential operation simulation method considering the comprehensive benefits of a new energy delivery base is characterized by: The constraints of the timing operation simulation model of the new energy transmission base include: Wind and solar power generation output range constraints Where: They represent the wind power and photovoltaic power output at time t respectively; p w 、p s Respectively represent wind power and photovoltaic power at t Theoretical output limit for the time period; Thermal power unit operation constraints Where: t is the time period sequence; △t is the time span of a single time period; Indicates the output power of thermal power units; Express the minimum technical output of thermal power units; Indicates the rated output of thermal power units; is the number of thermal power units put into operation; is the maximum number of thermal power units put into operation; is the minimum number of thermal power units put into operation; Indicates the maximum climbing power of a single thermal power unit; Indicates the maximum ramp-down power of a single thermal power unit; Operation constraints of CSP plants Where: It represents the heat storage in the heat storage tank during period t; is the heat storage and release efficiency of the heat storage tank; They represent the heat storage power and heat release power of the heat storage tank in period t respectively; They represent the upper limits of the heat release power of the heat storage tank and the heat storage power of the heat storage tank respectively; Indicates the upper and lower limits of heat storage capacity of a single CSP power station; Indicates the output power of the generator set; Indicates the upper and lower limits of the output power of the generator set; is the number of CSP power stations put into operation; is the maximum number of CSP plants put into operation; η csp is the thermoelectric conversion efficiency, is the total irradiation power; is the abandoned light power; SF is the light-to-heat conversion efficiency; S is the mirror area; is the irradiance; Electrochemical energy storage operation model Where: represents the charging and discharging power of the energy storage power station in period t; p bat Indicates the maximum charging and discharging power of the energy storage power station; is the charging and discharging state of the energy storage station in period t, both of which are 0-1 integer variables. When charging during the period When the energy storage power station discharges during period t And the charging and discharging states of the energy storage power station at the same time are mutually exclusive; Represents the amount of energy storage in the energy storage station during period t; η ch , η dc The charging and discharging efficiency of the energy storage power station; Indicates the maximum and minimum storage capacity of the energy storage power station.

3. According to claim 2, a sequential operation simulation method considering the comprehensive benefits of a new energy delivery base is characterized by: The constraints of the timing operation simulation model of the new energy transmission base also include: Power balance constraints of new energy transmission bases Where: PDCL t Indicates the medium and long-term DC power transmission at time t; PDCX t It represents the DC spot delivered power at time t.

4. According to claim 1, a sequential operation simulation method considering the comprehensive benefits of a new energy delivery base is characterized by: The calculation formula for the comprehensive benefits of the new energy delivery base is as follows: Where: f h 、f c 、f ce 、f d They are DC utilization hours, net profit, carbon emissions, and peak-shaving and valley-filling electricity; represents the number of DC utilization hours in the kth week; C in is the revenue from electricity sales, which is calculated by multiplying the annual electricity sales by the inter-provincial electricity price; C cost is the annual cost of the base, which is calculated by multiplying the cost per kilowatt-hour by the amount of electricity generated; C gce is the carbon emission of thermal power; E bat To store energy to reduce peak power consumption and fill valley power.

5. According to claim 1, a sequential operation simulation method considering the comprehensive benefits of a new energy delivery base is characterized by: The method for solving the time sequence operation simulation model of the new energy transmission base includes: Step S31, setting various power supply parameters and new energy base operation boundary conditions; Step S32, simplifying constraints, setting initial power storage capacity and initial heat storage capacity; Step S33, using the dung beetle optimization algorithm of non-dominated sorting to perform a preliminary solution to obtain a DC power boundary value; Step S34: determine the minimum technical output of thermal power, spot trading duration, medium- and long-term trading cycle, proportion of new energy transmission and utilization rate of new energy as inputs of the timing operation simulation model of the new energy transmission base; Step S35, solve the multi-objective comprehensive optimal solution for each week to obtain the multi-objective optimal solution for the whole year.

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