CN112183922A - Power generation and utilization combined optimization method and system for high-energy-consumption enterprise self-supply power plant - Google Patents

Power generation and utilization combined optimization method and system for high-energy-consumption enterprise self-supply power plant Download PDF

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CN112183922A
CN112183922A CN202010846792.XA CN202010846792A CN112183922A CN 112183922 A CN112183922 A CN 112183922A CN 202010846792 A CN202010846792 A CN 202010846792A CN 112183922 A CN112183922 A CN 112183922A
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周颖
陈宋宋
张海静
王为帅
祝令凯
鞠文杰
杜颖
马磊
张超
潘佳
孙卓新
林国华
陈宁
王琼
刘丙栋
高赐威
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State Grid Corp of China SGCC
Southeast University
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
State Grid Shandong Electric Power Co Ltd
State Grid Xinjiang Electric Power Co Ltd
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State Grid Corp of China SGCC
Southeast University
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
State Grid Shandong Electric Power Co Ltd
State Grid Xinjiang Electric Power Co Ltd
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Abstract

The invention discloses a power generation and utilization combined optimization method and system for a self-contained power plant of a high-energy-consumption enterprise, wherein historical power generation and utilization data of the self-contained power plant of a typical high-energy-consumption enterprise are collected through an EMS system, and operation cost parameters of various generator sets at the power generation side of the self-contained power plant are obtained; analyzing the power generation sensitivity and the load transfer sensitivity of the self-contained power plant of the high-energy-consumption enterprise under the guidance of price signals; and respectively considering output constraints, thermoelectric coupling constraints and production relations and adjustment characteristics among various transferable loads of different generator sets, analyzing the power generation cost, transferable loads and net electricity charge of the high-energy-consumption enterprise self-contained power plant under the guidance of price signals, and forming a combined optimization model of the power generation and utilization equipment of the high-energy-consumption enterprise self-contained power plant. The method can be widely applied to the technical field of optimized resource allocation and load demand management of high-energy-consumption enterprises; the power generation and utilization production strategy of the self-contained power plant of the high-energy-consumption enterprise is optimized, the power utilization cost of the enterprise is effectively reduced, and the method has guiding significance for guiding power generation and utilization production scheduling of large industrial users.

Description

Power generation and utilization combined optimization method and system for high-energy-consumption enterprise self-supply power plant
Technical Field
The invention relates to the technical field of energy optimization scheduling of a high-energy-consumption enterprise self-contained power plant, in particular to a power generation and utilization combined optimization method and system of the high-energy-consumption enterprise self-contained power plant.
Background
With the rapid development of social economy, the demand for electricity is rapidly increased, and the supply of electricity is often in a more tense state. Meanwhile, electric energy is indispensable energy for high-energy-consumption enterprises in the production process, and in order to improve the comprehensive utilization efficiency of energy and reduce the power consumption cost, many high-energy-consumption enterprises build self-contained power plants with the load equivalent to the self load. The electric energy required in the production process of high-energy-consumption enterprises is supplied by the power grid and the self-contained power plant at the same time. High energy consumption enterprises reduce the power consumption cost of the enterprises by building self-contained power plants, and play a good role in energy conservation, environmental protection and economic benefit improvement.
The self-contained power plant of the high-energy-consumption enterprise is generally provided with a coal-fired unit, a cogeneration unit and a resource comprehensive utilization unit. The coal-fired unit is adjusted in a material electricity-fixing production mode, so that the coal-fired unit has very effective adjustable characteristics; the cogeneration unit can regulate the power generation according to the different units in the production mode of fixing the power by heat, and simultaneously feed back resources such as residual gas, waste heat and the like to surrounding users for heating; the resource comprehensive utilization unit utilizes waste gas generated in the production process of high-energy-consumption enterprises to carry out secondary utilization, and the energy utilization rate is effectively improved. The power utilization side of the high-energy-consumption enterprise has different production equipment according to different industrial production processes, but the load of the power utilization side of the high-energy-consumption enterprise can be adjusted while the requirements of the production processes are met. The high-energy-consumption enterprise can reduce the dependence on an external power grid by carrying out load regulation, can also reduce the power consumption cost, and simultaneously relieves the tension of local power grid power consumption.
Price type-based demand response projects are often used for industrial users according to the power generation and utilization characteristics of self-contained power plants of high-energy-consumption enterprises. The most common is time-of-use electricity price, and enterprises are guided to perform self-generation and load adjustment by giving different electricity prices at different time intervals, so that large industrial users can be promoted to perform reasonable power generation planning and load adjustment, and the power grid is promoted to complete peak clipping and valley filling work. How to reasonably utilize the electricity price signal under the existing economic mechanism to adjust the power generation and utilization of the self-supply power plant of the high-energy-consumption enterprise is to promote the enterprise to carry out reasonable power generation planning and load scheduling arrangement, so that the high-energy-consumption enterprise can meet the minimum operation cost and simultaneously develop the adjustment potential of the high-energy-consumption enterprise to promote the power grid to complete the peak clipping and valley filling work, which is a problem to be solved urgently.
Disclosure of Invention
In order to solve the problem of the existing regulation strategy of the electricity price signal to the self-contained power plant of the high-energy-consumption enterprise under the existing economic mechanism in the prior art and promote the enterprise to carry out reasonable power generation planning and load scheduling arrangement, so that the high-energy-consumption enterprise can realize the regulation potential of the high-energy-consumption enterprise and promote the power grid to finish the work of peak clipping and valley filling while meeting the minimum operation cost, the invention provides a combined optimization method for the electricity generation and the utilization of the self-contained power plant of the high-energy-consumption enterprise, which comprises the following steps:
acquiring the power generation and utilization cost and the load condition of the self-contained power plant of the high-energy-consumption enterprise in each period;
the power generation and utilization cost and the load condition are brought into a pre-established power generation and utilization combined optimization model to be solved, and a power generation and utilization combined optimization operation method of the high-energy-consumption enterprise self-supply power plant is obtained;
wherein the electricity charge includes: the electricity purchase price, the internet price and the power generation output curve; the load conditions include: base load and transferable load power;
and the power generation and utilization combined optimization model is constructed by taking the minimum operation cost of the self-contained power plant of the high-energy-consumption enterprise as a target and considering power generation sensitivity and load transfer sensitivity under the guiding action of price signals.
Preferably, the acquiring of the electricity generation and utilization cost and the load condition of the high-energy-consumption enterprise self-contained power plant at each time interval includes:
obtaining the online electricity price, the electricity purchasing price and the power generation cost of the self-provided power plant of the high-energy-consumption enterprise at different moments:
acquiring historical power generation output curves of a coal-fired unit, a cogeneration unit and a resource comprehensive utilization unit of a high-energy-consumption enterprise self-provided power plant through an EMS system, and acquiring an active output maximum value, an active output minimum value, a maximum load-increasing speed and a maximum load-decreasing speed:
basic load of each period of the high-energy-consumption enterprise self-contained power plant and basic data of power, running time and maximum adjustable time of the adjustable load are obtained through an EMS system.
Preferably, the construction of the power generation and utilization combined optimization model comprises the following steps:
determining the power generation cost based on the conditions that the self-contained power plant of the high-energy-consumption enterprise meets the upper and lower limits of the generated power output constraint, the generator set climbing constraint and the generator set thermoelectric coupling constraint;
determining the power generation sensitivity of a self-prepared power plant of a high-energy-consumption enterprise and the load transfer sensitivity in each period of time based on the power generation and power consumption;
based on the sensitivity of the adjustable load, determining the load transfer cost by considering the conditions that the self-contained power plant of the high-energy-consumption enterprise meets the operation time length constraint of the adjustable load, the production time sequence constraint between the loads, the adjustable load transfer power constraint and the power balance constraint;
determining the exchange power between the high-energy-consumption enterprise self-contained power plant and a power grid according to the power generation sensitivity of the high-energy-consumption enterprise self-contained power plant and the load transfer sensitivity in each period, and analyzing the net electric charge of the high-energy-consumption enterprise self-contained power plant;
and constructing a power generation and power utilization combined optimization model by taking the power generation cost, the load transfer cost and the net electric charge as constraint conditions and taking the minimum operation cost of the self-provided power plant of the high-energy-consumption enterprise as a target.
Preferably, the determination of the power generation sensitivity and the load transfer sensitivity of the high-energy-consumption enterprise self-contained power plant in each period comprises:
based on the relations of the electricity purchase price, the power generation cost and the internet access price of the self-provided power plant of the high-energy-consumption enterprise in each time period, respectively determining the power generation sensitivity in each time period and the power price corresponding to the load at each moment:
and determining the load transfer sensitivity of each time period based on the power generation sensitivity of each time period.
Preferably, the calculation formula of the power generation sensitivity in each period is as follows:
Figure BDA0002643309510000031
wherein the content of the first and second substances,
Figure BDA0002643309510000032
the optimal generating power is obtained;
Figure BDA0002643309510000033
respectively the electricity purchase price, the internet price and the unit electricity generation cost price in the kth time period;
Figure BDA0002643309510000034
Lkrespectively the minimum generating power, the maximum generating power and the total load power of the enterprise in the kth period;
the calculation formula of the electricity price corresponding to the load at the kth moment is as follows:
Figure BDA0002643309510000035
wherein, ω iskThe price of the electricity consumption corresponding to the load of the enterprise at the kth moment is obtained;
Figure BDA0002643309510000036
the electricity purchase price, the unit power generation cost price and the internet electricity price of the enterprise in the kth moment are respectively.
Preferably, the calculation formula of the power generation cost is as follows:
Figure BDA0002643309510000037
wherein, min CcostFor generating cost, K is the total scheduling time in one day, i, j and u are the number of coal-fired units, cogeneration units and resource comprehensive utilization units respectively, and ai、bi、ciRespectively, the power generation cost coefficient, P, of the coal-fired uniti,kThe power generation output of the ith coal-fired unit at the moment k, br、crRespectively are the power generation cost coefficients of the resource comprehensive utilization unit,
Figure BDA0002643309510000041
the generated output of the resource utilization unit r at the moment k is integrated, aj、bj、cjRespectively, the power generation cost coefficient of the cogeneration unit, dj、fj、
Figure BDA0002643309510000042
For the heating cost coefficient of the jth cogeneration unit,
Figure BDA0002643309510000043
the electric power and the average heat power of the cogeneration unit are respectively.
Preferably, the transferable load operation duration constraint calculation formula is as follows:
Figure BDA0002643309510000044
wherein S isr,kThe load r can transfer the load operation duration at the kth moment; t isr,nIs the nominal operating time of the load r, tr,min,tr,maxRespectively the earliest starting time and the latest ending time, S, of the transferable loadr,kIs the running state variable of the load r at the kth moment;
the calculation formula of the continuous transferable load production time sequence constraint is as follows:
Figure BDA0002643309510000045
wherein S isr,k、Sr,t、Sr,t+1Respectively are the running state variables of the transferable load r at the kth moment, the t moment and the t +1 moment;
the pre-load constraint calculation equation is as follows:
Figure BDA0002643309510000046
wherein, the load r is the prepositive load of the load j, the load r can start the operation only when the load j finishes the operation, Sr,k、Sj,tRespectively are the running state variables of the load r and the load j;
the strong relevance load constraint calculation formula is as follows:
Figure BDA0002643309510000051
wherein, the load r has strong relevance with the load j, the load j starts to operate immediately after the load r finishes working, Sj,k、Sj,tOperating state variables, S, of the load j at the times k and t, respectivelyr,t-1The running state variable of the load r at the moment t-1 is as follows:
the transfer load power constraint calculation formula is as follows:
Figure BDA0002643309510000052
wherein the content of the first and second substances,
Figure BDA0002643309510000053
respectively representing the total maximum generating power of the enterprise in the k period and the maximum outsourcing power, l, of the enterprise in the k periodr,k、
Figure BDA0002643309510000054
Base load and transferable load power at the k moment respectively, N is the total transferable load quantity in the k moment, Sr,kFor the operating state variable of the transferable load r at the kth moment:
the power balance constraint calculation is as follows:
Figure BDA0002643309510000055
wherein, Pk、EkRespectively representing the total generating power and outsourcing power of the enterprise in the k periodr,k、
Figure BDA0002643309510000056
Base load and transferable load power at the k moment respectively, N is the total transferable load quantity in the k moment, Sr,kIs the running state variable of the transferable load r at the kth moment.
Preferably, the load transfer cost is calculated by the following equation:
Figure BDA0002643309510000057
wherein the content of the first and second substances,
Figure BDA0002643309510000058
in order to reduce the load r to the transition cost,
Figure BDA0002643309510000059
representing the cost per unit time for the load r to be transferred backwards and forwards, respectively, Sr、srRespectively representing the original planned starting time and the starting time after the transfer of the load r,
Figure BDA00026433095100000510
indicating the adjustment cost of the load r.
Preferably, the net electricity charge is calculated as follows:
Figure BDA0002643309510000061
wherein, BkThe net electric charge of the enterprise in the kth period;
Figure BDA0002643309510000062
the electricity price for purchasing electricity and the electricity price for surfing the Internet in the kth time period; pk、LkThe total generated power and the total load of the enterprise in the time period are respectively.
Preferably, the minimum operation cost calculation formula is as follows:
Figure BDA0002643309510000063
wherein F is the operation cost, N is the transferable load quantity, K is the total scheduling time interval in one day, I, J is the quantity of the coal-fired unit and the cogeneration unit respectively,
Figure BDA0002643309510000064
Bk、Ci(Pi,k)、
Figure BDA0002643309510000065
Figure BDA0002643309510000066
the transferable load cost, the net electricity expense, the coal-fired unit power generation cost and the cogeneration unit power generation cost are respectively.
Based on the same invention concept, the invention also provides a power generation and utilization combined optimization system of the self-supply power plant of the high-energy-consumption enterprise, which comprises the following steps:
the acquisition module is used for acquiring the electricity generation and utilization cost and the load condition of the self-contained power plant of the high-energy-consumption enterprise in each period;
the optimization solving module is used for substituting the power generation and utilization cost and the load condition into a pre-established power generation and utilization combined optimization model for solving to obtain a power generation and utilization combined optimization operation method of the high-energy-consumption enterprise self-supply power plant;
wherein the electricity generation cost includes: the electricity purchase price, the internet price, the power generation cost and the power generation output curve; the load conditions include: base load and transferable load power;
and the power generation and utilization combined optimization model is constructed by taking the minimum operation cost of the self-contained power plant of the high-energy-consumption enterprise as a target and considering power generation sensitivity and load transfer sensitivity under the guiding action of price signals.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a power generation and utilization combined optimization method and system for a self-contained power plant of a high-energy-consumption enterprise, which comprises the following steps: acquiring the power generation and utilization cost and load condition of the self-contained power plant of the high-energy-consumption enterprise in each period; the power generation and utilization cost and the load condition are brought into a pre-established power generation and utilization combined optimization model to be solved, and a power generation and utilization combined optimization operation method of the high-energy-consumption enterprise self-supply power plant is obtained; wherein the electricity generation cost includes: the electricity purchase price, the internet price, the power generation cost and the power generation output curve; the load conditions include: base load and transferable load power; the power generation and utilization combined optimization model is constructed by taking the minimum operation cost of the high-energy-consumption enterprise self-contained power plant as a target and considering power generation sensitivity and load transfer sensitivity under the guiding action of price signals.
According to the technical scheme provided by the invention, a power generation strategy and a power utilization strategy of the high-energy-consumption enterprise self-contained power plant under a price signal are researched, and effective references can be provided for the power generation output plan and the load transfer of the high-energy-consumption enterprise self-contained power plant; meanwhile, a power generation and utilization combined optimization operation model with minimum operation cost as a target is established for the high-energy-consumption enterprise self-prepared power plant, so that the power utilization cost can be reduced as much as possible while the normal production plan of the enterprise is not influenced by the enterprise; by responding to the guidance of a power grid price signal, the power generation plan and the load transfer production plan of the self-prepared power plant of the high-energy-consumption enterprise are adjusted, the interactivity between the high-energy-consumption enterprise and the power grid is improved, the power utilization reliability of the high-energy-consumption enterprise is promoted, and the safety of production operation is ensured. The method has guiding significance for guiding the orderly power utilization of the self-provided power plant of the high-energy-consumption enterprise.
The relation among the power generation cost, the on-line electricity price and the electricity purchasing price of the self-contained power plant at each time interval can determine the optimal power generation plan of the self-contained power plant; and researching the load electricity utilization cost in each time period, researching the sensitivity of load transfer, and establishing a minimum operation cost model of three targets of the power generation cost, the load transfer cost and the net electricity cost of the self-contained power plant by considering the load transfer cost. And solving a power generation output strategy and a load transfer strategy of the self-contained power plant. Unreasonable power utilization of the current self-contained power plant is optimized; the power generation and utilization behaviors of the self-contained power plant can be researched, and the micro-grid provides support for the appointed power price; the power grid can also change the price of the on-line electricity in the peak period to promote the regulation of the electricity generation and utilization of the self-contained power plant and promote the power grid to finish the work of peak clipping and valley filling.
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FIG. 1 is a flow chart of a power generation and utilization combined optimization method for a self-contained power plant of a high-energy-consumption enterprise, provided by the invention;
FIG. 2 is a flow chart of a solution for the specific embodiment provided in example 1;
FIG. 3 is a structural block diagram of a power generation and utilization joint optimization system for a self-contained power plant of a high-energy-consumption enterprise.
Detailed Description
For a better understanding of the present invention, reference is made to the following description taken in conjunction with the accompanying drawings and examples.
Example 1
As shown in fig. 1, a typical high-energy-consumption enterprise self-contained power plant power generation and utilization joint optimization method based on price signal guidance of the invention includes the following steps:
step 1: acquiring the power generation and utilization cost and the load condition of the self-contained power plant of the high-energy-consumption enterprise in each period; wherein the electricity charge includes: the electricity purchase price, the internet price and the power generation output curve; the load conditions include: base load and transferable load power;
step 2: the power generation and utilization cost and the load condition are brought into a pre-established power generation and utilization combined optimization model to be solved, and a power generation and utilization combined optimization operation method of the high-energy-consumption enterprise self-supply power plant is obtained; and the power generation and utilization combined optimization model is constructed by taking the minimum operation cost of the self-contained power plant of the high-energy-consumption enterprise as a target and considering power generation sensitivity and load transfer sensitivity under the guiding action of price signals.
The specific steps of this embodiment are:
s1: acquiring the electricity purchase price, the online price, the power generation cost and the power generation output curve of the self-contained power plant of the high-energy-consumption enterprise at each time interval; basic load and transferable load power in each time interval; s2: analyzing the power generation sensitivity and the load transfer sensitivity of the self-contained power plant of the high-energy-consumption enterprise under the guiding action of price signals;
s3: establishing a power generation and utilization combined optimization model of a high-energy-consumption enterprise self-contained power plant under the guidance of price signals;
s4: and solving the power generation and utilization operation strategy of the self-supply power plant of the high-energy-consumption enterprise by utilizing a GUROBI software package in MATLAB.
As shown in fig. 2, in step S1, an electricity purchase price, an online price, a power generation cost, and a power generation output curve of the high energy consumption enterprise self-contained power plant in each time period are obtained; the basic load and the transferable load power in each time period comprise the following specific steps:
s1-1: and obtaining the on-line electricity price, the electricity purchasing price and the electricity generation cost of the self-contained power plant of the high-energy-consumption enterprise at different moments.
S1-2: the method comprises the steps of obtaining a power generation output curve of a coal-fired unit, a cogeneration unit and a resource comprehensive utilization unit of a high-energy-consumption enterprise self-provided power plant, as well as an active output maximum value, an active output minimum value, a maximum load lifting speed and a maximum load lowering speed through EMS.
S1-3: basic load and basic data of power, running time and maximum adjustable time of adjustable load of the high-energy-consumption enterprise self-contained power plant at each time period are obtained through EMS.
In this embodiment, the specific steps of analyzing the power generation sensitivity and the load transfer sensitivity of the self-contained power plant of the high-energy-consumption enterprise under the guiding action of the price signal in step S2 are as follows:
s2-1: determining the relation between the electricity purchase price, the power generation cost and the internet price of the high-energy-consumption enterprise self-contained power plant in each time period, and analyzing the power generation sensitivity of the high-energy-consumption enterprise self-contained power plant:
Figure BDA0002643309510000091
wherein the content of the first and second substances,
Figure BDA0002643309510000092
respectively the electricity purchase price, the internet price and the power generation cost in the kth time period;
Figure BDA0002643309510000093
Lk、
Figure BDA0002643309510000094
respectively obtaining the minimum generating power, the maximum generating power, the total load power and the optimal generating power of the enterprise in the kth period:
s2-2: based on the power generation sensitivity of the enterprise self-prepared power plant with high energy consumption in each period, the adjustable load sensitivity is analyzed:
the output of the generator set is determined according to the size relationship among the power generation cost, the grid-surfing electricity price and the electricity purchasing price and under the condition of meeting related output constraints. Therefore, under the guidance of the real-time electricity price or the time-of-use electricity price, the self-contained power plant can carry out sensitivity adjustment according to the price relationship of the three. The unit cost of the load electricity in the current time period can be determined according to the relationship among the electricity generation cost, the price of the on-line electricity and the price of the purchase electricity. And then passing through the priceAnd the grid signal is guided to change the power utilization behavior of the self-supply power plant. The adjustable load is sensitively adjusted according to the change of the price. For example: any two scheduling periods k' and k ", if the transferable loads can be shifted from ωkGreater time interval to omegakThe smaller time period shift can reduce the electricity cost of the enterprise, and conversely, the electricity cost can be increased. Wherein ω iskIs calculated as:
Figure BDA0002643309510000095
wherein, ω iskAnd the price of the electricity consumption corresponding to the load of the enterprise at the kth moment is obtained.
In step S3 of this embodiment, the specific steps of analyzing and establishing the power generation and utilization combined optimization model of the high-energy-consumption enterprise self-contained power plant under the guidance of the price signal are as follows:
s3-1: analyzing the power generation cost of the self-contained power plant of the high-energy-consumption enterprise under the conditions of satisfying the upper and lower limits of generated power output constraint, the climbing constraint of the generator set and the restriction of the thermocouple of the generator set:
Figure BDA0002643309510000101
wherein K is the total scheduling time interval in one day, I, J, u is the number of coal-fired units, cogeneration units and resource comprehensive utilization units respectively, ai、bi、ciRespectively, the power generation cost coefficient, P, of the coal-fired uniti,kThe power generation output of the ith coal-fired unit at the moment k, br、crRespectively are the power generation cost coefficients of the resource comprehensive utilization unit,
Figure BDA0002643309510000102
the generated output of the resource utilization unit r at the moment k is integrated, aj、bj、cjRespectively, the power generation cost coefficient of the cogeneration unit, dj、fj、hjFor the heating cost coefficient of the jth cogeneration unit,
Figure BDA0002643309510000103
electric power, average thermal power of the cogeneration unit, respectively:
and (3) limiting the upper limit and the lower limit of the generated power:
Figure BDA0002643309510000104
wherein the content of the first and second substances,
Figure BDA0002643309510000105
respectively the minimum generating power, the maximum generating power and the real-time generating power of the jth cogeneration unit, Pi,min、Pi,max、PiThe minimum generating power, the maximum generating power and the real-time generating power of the ith coal-fired unit are respectively as follows:
and (3) climbing restraint:
Figure BDA0002643309510000106
wherein D isi,down、Di,up、Dj,down、Dj,downThe downward and upward climbing rates, P, of the coal-fired unit and the cogeneration unit respectivelyi,k、Pi,(k-1)、
Figure BDA0002643309510000107
The power generation output powers of the ith coal-fired unit and the jth combined heat and power generation unit at the moment k and the moment k-1 are respectively as follows:
thermoelectric coupling constraint:
Figure BDA0002643309510000111
wherein, PCHP、HCHPRespectively the generating power and the heating power of the cogeneration unit,
Figure BDA0002643309510000112
respectively the maximum and minimum generating power under the pure condensation working condition of the unit; c. Cv、cmRespectively comprising the air input and the back pressure of the unit:
s3-2: based on the sensitivity of the adjustable load, the load transfer cost of the high-energy-consumption enterprise self-contained power plant under the conditions of satisfying the adjustable load operation time length constraint, the production time sequence constraint between loads, the adjustable load transfer power constraint and the power balance constraint is analyzed:
Figure BDA0002643309510000113
wherein the content of the first and second substances,
Figure BDA0002643309510000114
respectively representing the unit time costs for the backward and forward transfers of the load r, respectively, Sr、srRespectively representing the original planned starting time and the starting time after the transfer of the load r,
Figure BDA0002643309510000115
represents the adjustment cost of the load r:
transferable load run length constraint:
Figure BDA0002643309510000116
wherein, Tr,nIs the nominal operating time of the load r, tr,min,tr,maxRespectively the earliest starting time and the latest ending time, S, of the transferable loadr,kThe load r runs in a state of 0, 1 variable at the k-th moment, runs in a state of 1, stops in a state of 0:
continuity transferable load production timing constraints:
Figure BDA0002643309510000117
wherein S isr,k、Sr,t、Sr,t+1Respectively, the transferable load r is atOperating state variables at the time k, the time t and the time t +1 are as follows:
pre-load restraint:
Figure BDA0002643309510000121
wherein, the load r is the prepositive load of the load j, the load r can start the operation only when the load j finishes the operation, Sr,k、Sj,tOperating state variables for load r and load j, respectively:
strong relevance load constraint:
Figure BDA0002643309510000122
wherein, the load r has strong relevance with the load j, the load j starts to operate immediately after the load r finishes working, Sj,k、Sj,tOperating state variables, S, of the load j at the times k and t, respectivelyr,t-1The running state variable of the load r at the moment t-1 is as follows:
transfer load power constraint:
Figure BDA0002643309510000123
wherein the content of the first and second substances,
Figure BDA0002643309510000124
respectively representing the total maximum generating power of the enterprise in the k period and the maximum outsourcing power, l, of the enterprise in the k periodr,k、
Figure BDA0002643309510000125
Base load and transferable load power at the k moment respectively, N is the total transferable load quantity in the k moment, Sr,kFor the operating state variable of the transferable load r at the kth moment:
and power balance constraint:
Figure BDA0002643309510000126
wherein, Pk、EkRespectively representing the total generating power and outsourcing power of the enterprise in the k periodr,k、
Figure BDA0002643309510000131
Base load and transferable load power at the k moment respectively, N is the total transferable load quantity in the k moment, Sr,kThe operation state variable of the transferable load r at the kth moment;
s3-3: determining the exchange power between the high-energy-consumption enterprise self-contained power plant and the power grid according to the power generation sensitivity of the high-energy-consumption enterprise self-contained power plant and the load transfer sensitivity in each period, and analyzing the net electric charge of the high-energy-consumption enterprise self-contained power plant:
Figure BDA0002643309510000132
wherein, BkThe net electric charge of the enterprise in the kth period;
Figure BDA0002643309510000133
the electricity price for purchasing electricity and the electricity price for surfing the Internet in the kth time period; pk、LkRespectively is the total power generation power and the total load of the enterprise in the time period:
s3-4: constructing a power generation and utilization combined optimization model which meets the power generation cost, the load transfer cost and the net electric charge of the high-energy enterprise self-contained power plant under the various constraint conditions and takes the minimum operation cost as a target according to the power generation cost, the load transfer cost and the net electric charge of the high-energy enterprise self-contained power plant:
Figure BDA0002643309510000134
wherein N is the number of transferable loads, K is the total scheduling time in one day, I, J is the number of coal-fired units and cogeneration units respectively,
Figure BDA0002643309510000135
Bk、Ci(Pi,k)、
Figure BDA0002643309510000136
transferable load cost, net electric charge, coal-fired unit electricity generation cost, cogeneration unit electricity generation cost respectively:
the constraint conditions consist of the constraint conditions of the power generation cost of the self-supply power plant of the high-energy-consumption enterprise, the constraint conditions of load transfer and the constraint conditions of net electric charge.
In step S4 of this embodiment, the specific steps of solving the power generation and utilization operation strategy of the self-contained power plant of the high-energy-consumption enterprise by using the GUROBI software package in MATLAB are as follows:
s4-1: reading basic data such as basic power generation equipment and power utilization equipment parameters, a scheduling period, a power generation cost coefficient, a load transfer cost coefficient and the like:
s4-2: carrying out linearization input on a power generation constraint condition, a load transfer constraint condition and the like:
s4-3: calling mixed integer nonlinear programming software to solve a power generation strategy and a load transfer strategy of a power generation and utilization combined optimization model of a self-contained power plant of a high-energy-consumption enterprise:
s4-4: and (6) ending.
In the embodiment, a certain steel industry self-contained power plant example is adopted, and the power generation and utilization strategies and the operation cost of the steel enterprise self-contained power plant at two online electricity prices in a peak period are calculated respectively; comparing the electricity cost and the load of load peak load and load valley load of the iron and steel enterprises under the guidance of two price signals, the result is shown in table 1:
TABLE 1 Power consumption cost and load of load peak load shifting for iron and steel enterprises at different power prices of accessing the Internet
Figure BDA0002643309510000141
After the grid-surfing electricity price is changed in the peak period, the self-contained power plant of the iron and steel enterprise carries out load transfer production in the load, the total electricity consumption is unchanged, the output of the unit in the peak period is increased on the power generation side, and the total power generation amount of the self-contained power plant is increased. Meanwhile, the dispatching of the transferable loads promotes the power grid to finish peak clipping and valley filling work, and the generator set improves the on-grid electric quantity in the peak period and also promotes the safe and stable operation of the power grid.
The embodiments of the present invention are described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and the optimal power generation and consumption regulation strategy satisfying the minimum operation cost mode of the high energy consuming enterprise can be found under various high energy consuming enterprise self-contained power plants and various price signals.
Example 2:
based on the same inventive concept, the invention also provides a power generation and utilization combined optimization system of a self-supply power plant of a high-energy-consumption enterprise, as shown in fig. 3, comprising:
the acquisition module is used for acquiring the electricity generation and utilization cost and the load condition of the self-contained power plant of the high-energy-consumption enterprise in each period;
the optimization solving module is used for establishing a power generation and utilization sensitivity model of the high-energy-consumption self-contained power plant, and substituting the power generation and utilization cost and the load condition into a pre-established power generation and utilization combined optimization model for solving to obtain a power generation and utilization combined optimization operation method of the self-contained power plant of the high-energy-consumption enterprise;
the sensitivity model includes: constructing a power generation sensitivity model of a high-energy-consumption enterprise self-contained power plant under the guidance of power generation and power consumption and constructing a load transfer sensitivity model;
the power generation and power utilization combined optimization model comprises: and constructing a power generation and utilization combined optimization model of the high-energy-consumption enterprise self-supply power plant by taking the minimum operation cost of the high-energy-consumption enterprise self-supply power plant as a target.
The acquisition module comprises: a power generation price information acquisition unit and a power generation load information acquisition unit;
the power generation price information acquisition unit is used for acquiring the electricity purchase price, the internet price and the unit power generation cost;
the generating load information acquisition unit is used for acquiring a basic load and a transferable load power;
the optimization solving module comprises: constructing and solving a power generation and power utilization sensitivity analysis unit and a power generation and power utilization combined optimization model;
the electricity generation sensitivity analysis unit is used for: based on the relations of the electricity purchase price, the power generation cost and the internet access price of the self-provided power plant of the high-energy-consumption enterprise in each time period, respectively determining the power generation sensitivity in each time period and the power price corresponding to the load at each moment: the system is also used for determining the load transfer sensitivity of each time period based on the power generation sensitivity of each time period;
the unit for constructing and solving the power generation and power utilization combined optimization model comprises: a model building subunit and a calculating subunit;
the model building subunit is to:
determining the power generation cost based on the conditions that the self-contained power plant of the high-energy-consumption enterprise meets the upper and lower limits of the generated power output constraint, the generator set climbing constraint and the generator set thermoelectric coupling constraint;
determining the power generation sensitivity of a self-prepared power plant of a high-energy-consumption enterprise and the load transfer sensitivity in each period of time based on the power generation and power consumption;
based on the sensitivity of the adjustable load, determining the load transfer cost by considering the conditions that the self-contained power plant of the high-energy-consumption enterprise meets the operation time length constraint of the adjustable load, the production time sequence constraint between the loads, the adjustable load transfer power constraint and the power balance constraint;
determining the exchange power between the high-energy-consumption enterprise self-contained power plant and a power grid according to the power generation sensitivity of the high-energy-consumption enterprise self-contained power plant and the load transfer sensitivity in each period, and analyzing the net electric charge of the high-energy-consumption enterprise self-contained power plant; and constructing a power generation and power utilization combined optimization model by taking the power generation cost, the load transfer cost and the net electric charge as constraint conditions and taking the minimum operation cost of the self-provided power plant of the high-energy-consumption enterprise as a target.
The solving subunit is configured to: optimizing and solving the power generation and power utilization combined optimization model constructed by the model construction subunit according to the data acquired by the acquisition module to obtain a power generation and power utilization combined optimization operation strategy of the self-contained power plant;
the power generation and utilization combined optimization operation strategy comprises the following steps: a power generation strategy, a load transfer strategy and a net electric charge transaction strategy.
It should be noted that, the objective function, the constraint condition and the calculation method used in the model constructed by the present embodiment may refer to embodiment 1, and will not be described here again.
It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.

Claims (11)

1. A power generation and utilization combined optimization method for a self-contained power plant of a high-energy-consumption enterprise is characterized by comprising the following steps:
acquiring the power generation and utilization cost and the load condition of the self-contained power plant of the high-energy-consumption enterprise in each period;
the power generation and utilization cost and the load condition are brought into a pre-established power generation and utilization combined optimization model to be solved, and a power generation and utilization combined optimization operation method of the high-energy-consumption enterprise self-supply power plant is obtained;
wherein the electricity charge includes: the electricity purchase price, the internet price and the power generation output curve; the load conditions include: base load and transferable load power;
and the power generation and utilization combined optimization model is constructed by taking the minimum operation cost of the self-contained power plant of the high-energy-consumption enterprise as a target and considering power generation sensitivity and load transfer sensitivity under the guiding action of price signals.
2. The optimization method according to claim 1, wherein the obtaining of the electricity generation cost and the load condition of the high-energy-consumption enterprise self-contained power plant at each time interval comprises:
obtaining the online electricity price, the electricity purchasing price and the power generation cost of the self-provided power plant of the high-energy-consumption enterprise at different moments:
acquiring historical power generation output curves of a coal-fired unit, a cogeneration unit and a resource comprehensive utilization unit of a high-energy-consumption enterprise self-provided power plant through an EMS system, and acquiring an active output maximum value, an active output minimum value, a maximum load-increasing speed and a maximum load-decreasing speed:
basic load of each period of the high-energy-consumption enterprise self-contained power plant and basic data of power, running time and maximum adjustable time of the adjustable load are obtained through an EMS system.
3. The optimization method according to claim 1, wherein the construction of the power generation and utilization combined optimization model comprises:
determining the power generation cost based on the conditions that the self-contained power plant of the high-energy-consumption enterprise meets the upper and lower limits of the generated power output constraint, the generator set climbing constraint and the generator set thermoelectric coupling constraint;
determining the power generation sensitivity of a self-prepared power plant of a high-energy-consumption enterprise and the load transfer sensitivity in each period of time based on the power generation and power consumption;
based on the sensitivity of the adjustable load, determining the load transfer cost by considering the conditions that the self-contained power plant of the high-energy-consumption enterprise meets the operation time length constraint of the adjustable load, the production time sequence constraint between the loads, the adjustable load transfer power constraint and the power balance constraint;
determining the exchange power between the high-energy-consumption enterprise self-contained power plant and a power grid according to the power generation sensitivity of the high-energy-consumption enterprise self-contained power plant and the load transfer sensitivity in each period, and analyzing the net electric charge of the high-energy-consumption enterprise self-contained power plant;
and constructing a power generation and power utilization combined optimization model by taking the power generation cost, the load transfer cost and the net electric charge as constraint conditions and taking the minimum operation cost of the self-provided power plant of the high-energy-consumption enterprise as a target.
4. The optimization method according to claim 3, wherein the determination of the power generation sensitivity and the load transfer sensitivity of the high-energy-consumption enterprise self-contained power plant in each period comprises:
based on the relations of the electricity purchase price, the power generation cost and the internet access price of the self-provided power plant of the high-energy-consumption enterprise in each time period, respectively determining the power generation sensitivity in each time period and the power price corresponding to the load at each moment:
and determining the load transfer sensitivity of each time period based on the power generation sensitivity of each time period.
5. The optimization method according to claim 4, wherein the calculation formula of the power generation sensitivity in each period is as follows:
Figure FDA0002643309500000021
wherein the content of the first and second substances,
Figure FDA0002643309500000022
the optimal generating power is obtained;
Figure FDA0002643309500000023
respectively the electricity purchase price, the internet price and the unit electricity generation cost price in the kth time period;
Figure FDA0002643309500000024
Lkrespectively the minimum generating power, the maximum generating power and the total load power of the enterprise in the kth period;
the calculation formula of the electricity price corresponding to the load at the kth moment is as follows:
Figure FDA0002643309500000025
wherein, ω iskThe price of the electricity consumption corresponding to the load of the enterprise at the kth moment is obtained;
Figure FDA0002643309500000026
the electricity purchase price, the unit power generation cost price and the internet electricity price of the enterprise in the kth moment are respectively.
6. The optimization method according to claim 3, wherein the electricity generation cost is calculated as follows:
Figure FDA0002643309500000027
wherein, min CcostFor generating cost, K is the total scheduling time in one day, i, j and u are the number of coal-fired units, cogeneration units and resource comprehensive utilization units respectively, and ai、bi、ciRespectively, the power generation cost coefficient, P, of the coal-fired uniti，kThe power generation output of the ith coal-fired unit at the moment k, br、crRespectively are the power generation cost coefficients of the resource comprehensive utilization unit,
Figure FDA0002643309500000031
the generated output of the resource utilization unit r at the moment k is integrated, aj、bj、cjRespectively, the power generation cost coefficient of the cogeneration unit, dj、fj、hjFor the heating cost coefficient of the jth cogeneration unit,
Figure FDA0002643309500000032
the electric power and the average heat power of the cogeneration unit are respectively.
7. The optimization method of claim 3, wherein the transferable load runtime constraint calculation is as follows:
Figure FDA0002643309500000033
wherein S isr，kThe load r can transfer the load operation duration at the kth moment; t isr，nIs the nominal operating time of the load r, tr，min，tr，maxRespectively the earliest starting time and the latest ending time, S, of the transferable loadr，kIs the running state variable of the load r at the kth moment;
the calculation formula of the continuous transferable load production time sequence constraint is as follows:
Figure FDA0002643309500000034
wherein S isr，k、Sr，t、Sr，t+1Respectively are the running state variables of the transferable load r at the kth moment, the t moment and the t +1 moment;
the pre-load constraint calculation equation is as follows:
Figure FDA0002643309500000035
wherein, the load r is the prepositive load of the load j, the load r can start the operation only when the load j finishes the operation, Sr，k、Sj，tRespectively are the running state variables of the load r and the load j;
the strong relevance load constraint calculation formula is as follows:
Figure FDA0002643309500000041
wherein, the load r has strong relevance with the load j, the load j starts to operate immediately after the load r finishes working, Sj，k、Sj，tOperating state variables, S, of the load j at the times k and t, respectivelyr，t-1The running state variable of the load r at the moment t-1 is as follows:
the transfer load power constraint calculation formula is as follows:
Figure FDA0002643309500000042
wherein the content of the first and second substances,
Figure FDA0002643309500000043
respectively representing the total maximum generating power of the enterprise and the enterprise in the k periodMaximum outsourcing power, l, during this periodr，k、
Figure FDA0002643309500000044
Base load and transferable load power at the k moment respectively, N is the total transferable load quantity in the k moment, Sr，kFor the operating state variable of the transferable load r at the kth moment:
the power balance constraint calculation is as follows:
Figure FDA0002643309500000045
wherein, Pk、EkRespectively representing the total generating power and outsourcing power of the enterprise in the k periodr，k、
Figure FDA0002643309500000046
Base load and transferable load power at the k moment respectively, N is the total transferable load quantity in the k moment, Sr，kIs the running state variable of the transferable load r at the kth moment.
8. The optimization method according to claim 7, wherein the load shifting cost is calculated as follows:
Figure FDA0002643309500000047
wherein the content of the first and second substances,
Figure FDA0002643309500000048
in order to reduce the load r to the transition cost,
Figure FDA0002643309500000049
representing the cost per unit time for the load r to be transferred backwards and forwards, respectively, Sr、srRespectively representing the original planned starting time and the starting time after the transfer of the load r,
Figure FDA0002643309500000051
indicating the adjustment cost of the load r.
9. The optimization method according to claim 3, wherein the net electricity charge is calculated as follows:
Figure FDA0002643309500000052
wherein, BkThe net electric charge of the enterprise in the kth period;
Figure FDA0002643309500000053
the electricity price for purchasing electricity and the electricity price for surfing the Internet in the kth time period; pk、LkThe total generated power and the total load of the enterprise in the time period are respectively.
10. The optimization method of claim 4, wherein the minimum operating cost is calculated as follows:
Figure FDA0002643309500000054
wherein F is the operation cost, N is the transferable load quantity, K is the total scheduling time interval in one day, I, J is the quantity of the coal-fired unit and the cogeneration unit respectively,
Figure FDA0002643309500000055
Bk、Ci(Pi，k)、
Figure FDA0002643309500000056
Figure FDA0002643309500000057
respectively transferable load cost, net electricity cost, coal burningThe generating cost of the unit and the generating cost of the cogeneration unit.
11. The utility model provides a high energy consumption enterprise is from preparation power plant power generation and utilization combined optimization system which characterized in that includes:
the acquisition module is used for acquiring the power generation and utilization cost and the load condition of the self-contained power plant of the high-energy-consumption enterprise in each period;
the optimization solving module is used for substituting the power generation and utilization cost and the load condition into a pre-established power generation and utilization combined optimization model for solving to obtain a power generation and utilization combined optimization operation method of the high-energy-consumption enterprise self-supply power plant;
wherein the electricity charge includes: the electricity purchase price, the internet price and the power generation output curve; the load conditions include: base load and transferable load power;
and the power generation and utilization combined optimization model is constructed by taking the minimum operation cost of the self-contained power plant of the high-energy-consumption enterprise as a target and considering power generation sensitivity and load transfer sensitivity under the guiding action of price signals.
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CN112686467A (en) * 2021-01-12 2021-04-20 南方电网科学研究院有限责任公司 Large-user production operation optimization method and device containing self-contained power plant and terminal equipment
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CN113486521A (en) * 2021-07-08 2021-10-08 湘潭大学 Economic benefit calculation method for replacing small coal-fired power plant by fuel cell power plant
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