WO2015093262A1 - エネルギー需給運用ガイダンス装置及び製鉄所内のエネルギー需給運用方法 - Google Patents
エネルギー需給運用ガイダンス装置及び製鉄所内のエネルギー需給運用方法 Download PDFInfo
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- 238000007726 management method Methods 0.000 title description 3
- 238000005457 optimization Methods 0.000 claims abstract description 27
- 238000004364 calculation method Methods 0.000 claims abstract description 26
- 238000012821 model calculation Methods 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims description 18
- 229910000831 Steel Inorganic materials 0.000 claims description 16
- 239000010959 steel Substances 0.000 claims description 16
- 238000010248 power generation Methods 0.000 claims description 13
- 238000013480 data collection Methods 0.000 claims description 7
- 238000002360 preparation method Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 claims 1
- 230000005611 electricity Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 8
- 238000000605 extraction Methods 0.000 description 6
- 239000000571 coke Substances 0.000 description 3
- 230000007423 decrease Effects 0.000 description 2
- 239000006227 byproduct Substances 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000994 depressogenic effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 238000010791 quenching Methods 0.000 description 1
- 230000000171 quenching effect Effects 0.000 description 1
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- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
Definitions
- the present invention relates to an energy supply and demand operation guidance device that supports supply and demand operation work of gas, steam, and electric power in a steel plant, and an energy supply and demand operation method in the steel plant.
- blast furnace gas generated as a by-product from a blast furnace
- coke gas generated from a coke furnace
- converter gas LD gas generated from an LD converter
- M gas mixed gas
- the excess gas must be dissipated to the atmosphere, resulting in a loss.
- the gas demand is greater than the gas supply and the gas is in short supply, the operation of the steelworks is affected and similarly lost. For this reason, in steelworks, it is necessary to operate gas appropriately according to the supply and demand of gas.
- steam is extracted from a steam turbine for private power generation such as an LD gas exhaust heat boiler, BTG (Boiler steam-Turbine Generator), CDQ (Coke Dry Quenching system), etc. (takes steam from the middle of the turbine) It is obtained by carrying out.
- BTG Boiler steam-Turbine Generator
- CDQ Coke Dry Quenching system
- turbine bypass is performed in which the turbine is disconnected and steam is directly obtained.
- steam is no longer sent to the turbine, so that the amount of in-house power generation becomes zero, and the power cost further increases compared to when bleed is performed.
- the turbine bypass is not performed, it is necessary to purchase steam from an external supplier in order to cope with the steam shortage, and the steam cost is increased.
- steam costs and power costs are in a trade-off relationship, appropriate judgment is required in steam and power operations.
- Patent Documents 1 and 2 and Non-Patent Document 1 formulate a plant and its operating cost as a linear mixed integer programming problem or a non-linear mixed integer programming problem, and use various optimization methods. A technology for optimizing plant operation in terms of cost is described.
- Patent Documents 1 and 2 and Non-Patent Document 1 do not include parameters for controlling operational risk in the objective function or the plant model. For this reason, according to the techniques described in Patent Documents 1 and 2 and Non-Patent Document 1, it is not possible to obtain a solution or guidance output in consideration of operational risk. In general, there is a trade-off relationship between operation risk and operation cost. If the operation cost can be minimized under the allowable operation risk by setting the parameter representing the operation risk, a highly reliable solution or guidance output can be obtained.
- the present invention has been made in view of the above problems, and its purpose is to provide an energy supply and demand operation guidance apparatus capable of performing energy supply and demand operation that minimizes operation costs under an acceptable operation risk, and in a steelworks. Is to provide energy supply and demand management methods.
- the energy supply and demand operation guidance apparatus includes a balance between supply and demand of gas and steam in a steel plant, power generation equipment that generates power using the gas and the steam, input / output characteristics of a gas holder that stores the gas, and the steel plant Gas and steam at the steel plant using a plant model that describes the power supply / demand balance between the power demand of the power generation facility and the power supply from the power company and a cost model that describes the operating cost of the steel plant , And an energy supply and demand operation guidance device that executes optimization calculation of power supply and demand operation and outputs the optimization calculation result as a guidance output value, and collects the latest data for obtaining the latest values of variables included in the plant model And a plant operation schedule collection unit that collects information related to an operation plan of the steel works and the power generation facility, Using the information collected by the model parameter collection unit that collects setting values of the plant model and the cost model, the latest data collection unit, the plant operation schedule collection unit, and the model parameter collection unit, the steel works Supply / demand prediction unit for performing
- the operation risk parameter represents at least a gas shortage risk parameter indicating a risk of gas shortage at the steelworks and a risk of steam shortage at the steelworks. It includes a steam shortage risk parameter.
- An energy supply and demand operation method in a steel plant according to the present invention distributes a gas supply destination to a gas holder and a demand destination and a steam supply destination based on the guidance output value output from the energy supply and demand operation guidance device according to the present invention. It is characterized by allocating to customers.
- the energy supply and demand operation method in the steelworks according to the present invention is based on the guidance output value output from the energy supply and demand operation guidance device according to the present invention, so that the gas holder level does not fall below the level provided for the gas shortage risk. It is characterized by operating.
- the energy supply and demand operation method in the steelworks according to the present invention is characterized in that a turbine bypass is set up in preparation for steam shortage based on the guidance output value output from the energy supply and demand operation guidance device according to the present invention.
- the energy supply and demand operation guidance apparatus and the energy supply and demand operation method in the steelworks according to the present invention it is possible to execute the energy supply and demand operation that minimizes the operation cost under an acceptable operation risk.
- FIG. 1 is a block diagram showing a configuration of an energy supply and demand operation guidance apparatus according to an embodiment of the present invention.
- FIG. 2 is a diagram for explaining a gas shortage risk parameter.
- FIG. 3 is a diagram for explaining the turbine bypass.
- FIG. 4 is a diagram showing the time change of the gas holder level when the gas shortage risk parameter is set and when the gas shortage risk parameter is not set in the optimization calculation for optimizing the supply and demand operation of gas, steam and electric power at the steelworks.
- FIG. 5 is a diagram illustrating a trend of the steam amount of the steam supply source when the steam shortage risk parameter is not set in the optimization calculation for optimizing the supply and demand operation of gas, steam, and electric power in the steelworks.
- FIG. 6 is a diagram showing a trend of the steam amount of the steam supply source when the steam shortage risk parameter is set in the optimization calculation for optimizing the supply and demand operation of gas, steam, and electric power at the steelworks.
- an energy supply and demand operation guidance apparatus uses a plant model for optimization calculation that optimizes the supply and demand operation of gas, steam, and electric power in a steelworks so as to minimize the operation cost.
- the cost model will be described.
- the plant model consists of in-house power generation facilities (BTG, CDQ, TRT, etc.) that generate electricity using the gas and steam generated in the steelworks shown in Table 1 below, and the input / output characteristics of the gas holder that stores the gas generated in the steelworks. And the balance of supply and demand of gas (B gas, C gas, LD gas, M gas) and steam in the steelworks shown in Table 2 below, the power demand of the steelworks, and the power supply from private power generation facilities and power companies It is formulated as a mixed integer programming problem. Whether or not to perform turbine bypass in BTG or CDQ can be determined according to the excess or deficiency of steam when the extraction amount is maximized, and can be formulated as a mixed integer programming problem.
- the cost model is represented by the sum of the power cost, steam cost, and private power generation cost in the steelworks, and each cost is formulated as shown in Table 3 below.
- FIG. 1 is a block diagram showing a configuration of an energy supply and demand operation guidance apparatus according to an embodiment of the present invention.
- an energy supply and demand operation guidance apparatus includes a latest data collection unit 11, a plant operation schedule collection unit 12, a model parameter collection unit 13, a supply and demand prediction unit 14, and an operation risk parameter collection.
- the final data collection unit 11 collects the latest values of variables included in the plant models shown in Tables 1 and 2 described above, and outputs the collected latest values to the supply and demand prediction unit 14.
- the plant operation schedule collection unit 12 collects information related to the operation plan of the steel works, and outputs the collected information to the supply and demand prediction unit 14.
- the model parameter collection unit 13 collects the set values of the plant models shown in Tables 1 and 2 and the cost model shown in Table 3 and outputs the collected set values to the supply and demand prediction unit 14 and the model calculation unit 16. To do.
- the supply and demand prediction unit 14 uses the information output from the final data collection unit 11, the plant operation schedule collection unit 12, and the model parameter collection unit 13 to calculate supply and demand amounts of gas, steam, and power during the evaluation period, Information on the calculated supply and demand is output to the model calculation unit 16.
- the operation risk parameter collection unit 15 collects information on the gas shortage risk parameter ⁇ and the steam shortage risk parameter ⁇ that adjust the operation risk of the guidance output regarding the supply and demand operation of gas, steam, and electric power.
- the operation risk parameter collection unit 15 outputs the collected information to the model calculation unit 16. Details of the gas shortage risk parameter ⁇ and the steam shortage risk parameter ⁇ will be described later.
- the model calculation unit 16 uses the information output from the model parameter collection unit 13, the supply and demand prediction unit 14, and the operation risk parameter collection unit 15, so that the gas, steam, and electric power in the steelworks are minimized so that the operation cost is minimized.
- An optimization calculation for optimizing the supply and demand operation is executed by an optimization method such as a branch and bound method, and the obtained optimal solution is output to the guidance unit 17.
- the guidance unit 17 displays and outputs the information output from the model calculation unit 16 on a guidance screen operated by the operator as a guidance output related to supply and demand operations of gas, steam, and electric power at the steelworks.
- the operator executes supply and demand operation work of gas, steam, and electric power with reference to information output on the guidance screen.
- the gas shortage risk parameter ⁇ is a parameter obtained by quantifying the risk of gas shortage at steelworks. Specifically, as shown in FIG. 2 (a), the operation for setting the gas shortage risk parameter ⁇ has a margin corresponding to the gas shortage risk parameter ⁇ due to the hard lower limit of the level of the gas holder 20 in preparation for gas shortage. This is equivalent to an operation for adding a soft lower limit constraint of the specified level.
- the operator can adjust the gas shortage risk by adjusting the value of the gas shortage risk parameter ⁇ , and can use the guidance device at a gas holder level that is considered to be appropriate for operation.
- the steam shortage risk parameter ⁇ is a parameter that quantifies the risk of steam shortage at steelworks.
- the steam from the boiler 31 is used for power generation by the turbine 32, but can also be supplied to the main pipe 33 by an operation called extraction.
- the amount of steam from the turbine 32 is maximum but the steam is insufficient, that is, when the amount of steam demand is larger than the sum of the maximum amount of extraction and the amount of steam supplied, FIG.
- the turbine bypass is performed in which the steam from the boiler 31 is not supplied to the turbine 32 and the steam is directly supplied to the main pipe 33 via the bypass flow path 34 by opening the control valve 35.
- the steam shortage risk parameter ⁇ (0 ⁇ ⁇ 1) is introduced, and the turbine bypass is performed when the conditional expression: maximum extraction amount ⁇ ⁇ + steam supply amount ⁇ steam demand amount is satisfied.
- the timing for performing the turbine bypass is advanced. Thereby, it can suppress purchasing steam from an outside contractor in order to cope with steam shortage.
- the operator can adjust the steam shortage risk by adjusting the value of the steam shortage risk parameter ⁇ , and can use the guidance device at the level of the amount of steam considered to be appropriate for operation.
- the model calculation unit 16 uses the operation risk parameters collected by the operation risk parameter collection unit 15 to use gas, steam, Since the optimization calculation of the power supply and demand operation is executed, the gas, steam, and power supply and demand operation that minimizes the operation cost can be executed under the allowable operation risk.
- FIG. 4 is a diagram showing the time change of the gas holder level when the gas shortage risk parameter ⁇ is set and when it is not set in the optimization calculation for optimizing the supply and demand operation of gas, steam, and electric power at the steelworks.
- the optimization calculation was performed with the value of the gas shortage risk parameter ⁇ being (hard constraint upper limit ⁇ hard constraint lower limit) /2 ⁇ 0.7.
- the gas holder level interrupts 400 GJ at 18:00, 19:00, and 24:00, and the gas holder reaches a level at which gas shortage is a concern. The level is depressed.
- the optimization calculation is performed by setting the gas shortage risk parameter ⁇ , the gas holder level is maintained at 400 GJ or more at all times, and the gas shortage risk is low.
- FIG. 5 and FIG. 6 respectively show the steam amount trend of the steam supply source when the steam shortage risk parameter ⁇ is not set and when it is set in the optimization calculation for optimizing the supply / demand operation of gas, steam and electric power at the steelworks.
- FIG. 5 and FIG. 6 respectively show the steam amount trend of the steam supply source when the steam shortage risk parameter ⁇ is not set and when it is set in the optimization calculation for optimizing the supply / demand operation of gas, steam and electric power at the steelworks.
- an energy supply and demand operation guidance apparatus and an energy supply and demand operation method in a steelworks that can execute an energy supply and demand operation that minimizes the operation cost under an allowable operation risk.
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Abstract
Description
始めに、本発明の一実施形態であるエネルギー需給運用ガイダンス装置が操業コストを最小にするように製鉄所におけるガス、蒸気、及び電力の需給運用を最適化する最適化計算の際に用いるプラントモデル及びコストモデルについて説明する。
次に、図1を参照して、本発明の一実施形態であるエネルギー需給運用ガイダンス装置の構成について説明する。
次に、図2を参照して、ガス不足リスクパラメータαについて説明する。
次に、図3を参照して、蒸気不足リスクパラメータβについて説明する。
12 プラント稼働予定収集部
13 モデルパラメータ収集部
14 需給予測部
15 操業リスクパラメータ収集部
16 モデル計算部
17 ガイダンス部
20 ガスホルダ
31 ボイラ
32 タービン
33 本管
Claims (5)
- 製鉄所内におけるガス及び蒸気の需給バランス、前記ガス及び前記蒸気を利用して発電する発電設備及び前記ガスを貯蔵するガスホルダの入出力特性、及び前記製鉄所の電力需要量と前記発電設備及び電力会社からの電力供給量との電力需給バランスを記述したプラントモデルと前記製鉄所の操業コストを記述したコストモデルとを用いて、前記製鉄所におけるガス、蒸気、及び電力の需給運用の最適化計算を実行し、最適化計算結果をガイダンス出力値として出力するエネルギー需給運用ガイダンス装置であって、
前記プラントモデルに含まれる変数の最新値を取得する最新データ収集部と、
前記製鉄所及び前記発電設備の稼働計画に関する情報を収集するプラント稼働予定収集部と、
前記プラントモデル及び前記コストモデルの設定値を収集するモデルパラメータ収集部と、
前記最新データ収集部、前記プラント稼働予定収集部、及び前記モデルパラメータ収集部によって収集された情報を用いて、前記製鉄所におけるガス、蒸気、及び電力の需給予測を行う需給予測部と、
前記ガイダンス出力値の操業リスクを調整する操業リスクパラメータを収集する操業リスクパラメータ収集部と、
前記需給予測部の需給予測結果、前記モデルパラメータが収集した前記プラントモデル及び前記コストモデルの設定値、及び前記操業リスクパラメータ収集部が収集した操業リスクパラメータを用いて、ガス、蒸気、及び電力の需給運用の最適化計算を実行するモデル計算部と、
前記モデル計算部による最適化計算の結果をガイダンス出力値として出力するガイダンス部と、
を備えることを特徴とするエネルギー需給運用ガイダンス装置。 - 前記操業リスクパラメータには、少なくとも前記製鉄所においてガスが不足するリスクを表すガス不足リスクパラメータ及び前記製鉄所において蒸気が不足するリスクを表す蒸気不足リスクパラメータが含まれていることを特徴とする請求項1に記載のエネルギー需給運用ガイダンス装置。
- 請求項1又は2に記載のエネルギー需給運用ガイダンス装置から出力されたガイダンス出力値に基づいて、ガスの供給先をガスホルダと需要先とに振り分けると共に蒸気の供給先を需要先に振り分けることを特徴とする製鉄所内のエネルギー需給運用方法。
- 請求項1又は2に記載のエネルギー需給運用ガイダンス装置から出力されたガイダンス出力値に基づいて、ガスホルダのレベルがガス不足リスクに備えたレベル以下にならないようにガスを運用することを特徴とする製鉄所内のエネルギー需給運用方法。
- 請求項1又は2に記載のエネルギー需給運用ガイダンス装置から出力されたガイダンス出力値に基づいて、蒸気不足に備えたタービンバイパスの設定を行うことを特徴とする製鉄所内のエネルギー需給運用方法。
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CN201480068118.6A CN105814504B (zh) | 2013-12-16 | 2014-11-28 | 能量供需运用指导装置以及炼钢厂内的能量供需运用方法 |
KR1020167015823A KR101771985B1 (ko) | 2013-12-16 | 2014-11-28 | 에너지 수급 운용 가이던스 장치 및 제철소 내의 에너지 수급 운용 방법 |
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WO2023190262A1 (ja) * | 2022-03-28 | 2023-10-05 | Jfeスチール株式会社 | 製鉄所操業支援方法、操業支援装置、表示装置、及び操業支援プログラム |
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KR102231347B1 (ko) | 2018-12-19 | 2021-03-24 | 주식회사 포스코 | 부생가스 수급예측에 기초한 발전출력 제어장치 및 제어방법 |
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KR20220132576A (ko) | 2020-04-15 | 2022-09-30 | 제이에프이 스틸 가부시키가이샤 | 에너지 수급 운용 가이던스 장치 및 제철소 내의 에너지 수급 운용 방법 |
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KR101771985B1 (ko) | 2017-08-28 |
JP5862839B2 (ja) | 2016-02-16 |
CN105814504A (zh) | 2016-07-27 |
JPWO2015093262A1 (ja) | 2017-03-16 |
CN105814504B (zh) | 2018-07-06 |
KR20160086913A (ko) | 2016-07-20 |
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