CN111210107A - Comprehensive energy scheduling system and comprehensive energy scheduling method - Google Patents
Comprehensive energy scheduling system and comprehensive energy scheduling method Download PDFInfo
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Abstract
The invention relates to the technical field of energy system operation and control, and discloses a comprehensive energy scheduling system and a comprehensive energy scheduling method. Thermoelectric decoupling is completed on the basis of the EH, and the complex optimization problem of multi-node coupling is classified into the problem of planning after uniform decoupling optimization. The optimization scheme meets the economic and environmental requirements of the ICES of the region and realizes the optimized operation of the electric heating and air network.
Description
Technical Field
The invention relates to the technical field of energy system operation and control, in particular to a comprehensive energy scheduling system and a comprehensive energy scheduling method.
Background
Energy is a basis of survival and development of modern society, energy internet is used as a novel energy system, a power electronic technology, an information technology and an intelligent management technology are comprehensively applied, and a large number of energy nodes comprising a distributed energy acquisition device, a distributed energy storage device and various loads, such as a novel power network, an oil network, a natural gas network and the like, are interconnected to realize energy peer-to-peer exchange and sharing of energy bidirectional flow.
Currently, static optimization of EH distributed ICES does not consider co-optimization of gas turbines with CHP (combined heat and power), and lacks consideration of real-time adjustment of the unit heat-to-power ratio during CHP operation. On the basis of simplified decoupling of regional energy systems, the output of EH is generally the total active power output of CHP, gas turbine and grid. The general optimization method also usually stays in the optimization of the basic EH model, and no deep consideration is given to the problem of how to distribute power output by multiple identical energy conversion units in an area, i.e. multiple identical energy converters. The demand side response considered in such scenarios is also limited, and the use of energy sources to replace such generalized demand side response is often neglected.
Disclosure of Invention
The invention aims to overcome the problems in the prior art, and provides a comprehensive energy scheduling system and a comprehensive energy scheduling method, which classify the complex optimization problem of multi-node coupling into the problem of planning after uniform decoupling optimization, meet the economic and environmental requirements of regional ICES, and realize the optimized operation of an electric heating and air conditioning network.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
the comprehensive energy scheduling system comprises comprehensive energy systems which are mutually associated, wherein the comprehensive energy systems are carried on an intelligent control platform, and the intelligent control platform is in communication connection with each comprehensive energy system; the correlated comprehensive energy system is used for an EH dispatching ICES operation system, and on the premise that the EH dispatching ICES operation system meets the energy demand of a user, the following thermoelectric decoupling matrixes are established on the basis of minimized operation cost: wherein Le and Lh are respectively the actual electric and thermal load amount for measuring and transferring load; pe, Pg and Po respectively use the total energy of the electric energy of the power plant, the natural gas and the primary energy of the fuel oil for the regional energy network; an energy exchange scheme between any two of the at least one energy integration system associated with each other is determined.
Preferably, in the above integrated energy scheduling system and integrated energy scheduling method, the integrated energy system includes a multi-energy split-layer optimization system, an energy efficiency optimization layer system, and a unit optimization distribution layer system.
Preferably, in the above comprehensive energy scheduling system and method, in the multi-energy split-layer optimization system, C is the comprehensive operation cost; p is the pollutant emission cost.
Preferably, in the above integrated energy scheduling system and integrated energy scheduling method, F in the energy efficiency optimization layer system is a total energy output and energy input, and the decision variable is a CHP thermoelectric ratio.
Preferably, in the above integrated energy scheduling system and integrated energy scheduling method, in the unit optimized distribution layer system, Mk is a constant determined by the pipeline parameters, the ambient temperature and the working medium, sij is the flow rate of the pipeline, and the positive direction is the flow direction of the node i to the node j; pi is the pressure intensity of a natural gas network node i, the natural gas flow continuity equation is M-Agf, wherein M is the outflow flow of each natural gas node, Ag is the natural gas node branch incidence matrix with the compressor removed, and f is the outflow flow of the natural gas pipeline.
Preferably, in the above integrated energy scheduling system and integrated energy scheduling method, V in the decoupling matrix formula is the natural gas power of the input CHP, and the ratio of V to the total gas power is set to 0 ≤ V ≤ 1.
Preferably, in the above integrated energy scheduling system and integrated energy scheduling method, the unit optimized distribution layer system adopts a mode that a gas direct-drive compressor works at a constant output pressure.
Preferably, the integrated energy scheduling system includes the following scheduling method steps;
step one, the multi-energy shunt layer takes the minimum ICES comprehensive energy cost as a calculation target, and the CHP thermoelectric ratio obtained by optimizing the lower layer is substituted into the optimization calculation. The CHP unit is an electrothermal coupling element, when the thermoelectric price is different, the sensitivity of the comprehensive energy cost of the system to the real-time natural gas energy utilization ratio of CHP and GB is the highest, the real-time natural gas energy utilization ratio of CHP and GB is set as the optimized output quantity of the current layer, and the optimized result is taken as the known quantity to be substituted into the lower-layer optimization model.
And step two, the energy efficiency optimization layer maximizes the energy utilization efficiency of the ICES on the basis that the upper layer is optimized to give the natural gas energy utilization ratio of CHP and GB. The energy conversion efficiency of the transformer, the waste heat collection and GB is high (about 90%), the power generation energy conversion efficiency of the CHP unit is low (about 36%), the real-time thermoelectric ratio sensitivity of the system energy utilization efficiency to the CHP unit is high, the CHP thermoelectric ratio is set as the optimized output quantity of the current layer, and the optimized result is used as the known quantity to be substituted into the upper layer optimization model.
And step three, the unit distribution layer establishes a dynamic energy connector model according to the optimization calculation result of the previous 2 layers, and selects the operation evaluation index of the multi-energy network by taking the power distribution of the similar units as the optimization quantity.
The invention has the beneficial effects that: the invention establishes an EH expansion model and an energy connector dynamic model of EH unit internal energy efficiency characteristics and external energy distribution, aims at the lowest economic cost, the highest energy utilization efficiency and the highest operation efficiency in a region, determines the CHP gas ratio and the thermoelectric ratio by a multi-energy split-flow layer optimization system and an energy efficiency optimization layer system which are a nonlinear double-layer programming (NBLP) problem, and determines the power ratio of a plurality of energy converters in the region by considering the multi-objective optimization problem of the energy connector dynamic process. Thermoelectric decoupling is completed on the basis of the EH, and the complex optimization problem of multi-node coupling is classified into the problem of planning after uniform decoupling optimization. From the simulation result, the optimization scheme meets the economic and environmental requirements of the ICES of the region and realizes the optimized operation of the electric heating and air network.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram of an ICES energy hub framework system according to the present invention.
Fig. 2 is a hierarchical optimized scheduling method for IECS according to the present invention.
FIG. 3 is a matrix equation for thermoelectric decoupling according to the present invention.
Fig. 4 is an optimization objective function of the multi-energy split layer of the present invention.
Fig. 5 is a graph of an energy efficiency optimization layer objective function in accordance with the present invention.
FIG. 6 is a steady-state flow formula of a natural gas pipeline of an optimized distribution layer of a unit set.
FIG. 7 is a graph comparing the total energy usage for a multimode operating zone in accordance with the present invention.
FIG. 8 is a graph comparing the overall energy efficiency for multimode operation according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
Referring to fig. 1 to 6, the present embodiment is an integrated energy scheduling system and an integrated energy scheduling method, including the integrated energy systems associated with each other, where the integrated energy systems are mounted on an intelligent control platform, and the intelligent control platform is in communication connection with each integrated energy system; the comprehensive energy system which is mutually associated is adopted for the EH dispatching ICES operation system, and on the premise that the EH dispatching ICES operation system meets the energy demand of a user, the following thermoelectric decoupling matrixes are established on the basis of the minimum operation cost: wherein Le and Lh are respectively the actual electric and thermal load amount for measuring and transferring load; pe, Pg and Po respectively use the total energy of the electric energy of the power plant, the natural gas and the primary energy of the fuel oil for the regional energy network; determining an energy exchange scheme between any two of the at least one energy integration system which are mutually related; since an absorption refrigerator is widely adopted in a common Combined Cooling Heating Power (CCHP) system, and a cooling load can be equivalent to superposition of a thermoelectric load, only decoupling and optimal scheduling of thermoelectric are discussed herein, V in an electrolytic coupling matrix formula is natural gas power of input CHP, and the proportion of the natural gas power to total gas power is set to be 0-V-1, and the CHP is different from a common generator set in that excess heat generated by a waste heat boiler can be collected, so that the fuel utilization rate is improved. The waste heat boiler can be divided into a non-afterburning waste heat boiler and a waste heat boiler with afterburning according to the existence of additional afterburning equipment, the thermoelectric ratio of the non-afterburning waste heat boiler is generally considered to be unchangeable, and a unit with an afterburning device can change the thermoelectric ratio within a certain range through afterburning fuel oil; the comprehensive energy system comprises a multi-energy split-flow layer optimization system, an energy efficiency optimization layer system and a unit optimization distribution layer system, wherein in the multi-energy split-flow layer optimization system, C is the comprehensive operation cost; p is the pollutant discharge cost, F in the energy efficiency optimization layer system is the total energy output and energy input, the decision variable is the CHP thermoelectric ratio, Mk in the unit optimization distribution layer system is a constant and is determined by pipeline parameters, ambient temperature and working media, sij is the pipeline flow, and the positive direction is the flow direction of a node i to a node j; pi is the pressure of a natural gas network node i, a natural gas flow continuity equation is M-Agf, wherein M is the outflow flow of each natural gas node, Ag is the natural gas node branch incidence matrix with the compressor removed, f is the outflow flow of the natural gas pipeline, and the unit optimization distribution layer system adopts a mode that a gas direct-drive compressor works at a fixed output pressure.
Preferably, the integrated energy scheduling system includes the following scheduling method steps;
step one, the multi-energy shunt layer takes the minimum ICES comprehensive energy cost as a calculation target, and the CHP thermoelectric ratio obtained by optimizing the lower layer is substituted into the optimization calculation. The CHP unit is an electrothermal coupling element, when the thermoelectric price is different, the sensitivity of the comprehensive energy cost of the system to the real-time natural gas energy utilization ratio of CHP and GB is the highest, the real-time natural gas energy utilization ratio of CHP and GB is set as the optimized output quantity of the current layer, and the optimized result is taken as the known quantity to be substituted into the lower-layer optimization model.
And step two, the energy efficiency optimization layer maximizes the energy utilization efficiency of the ICES on the basis that the upper layer is optimized to give the natural gas energy utilization ratio of CHP and GB. The energy conversion efficiency of the transformer, the waste heat collection and GB is high (about 90%), the power generation energy conversion efficiency of the CHP unit is low (about 36%), the real-time thermoelectric ratio sensitivity of the system energy utilization efficiency to the CHP unit is high, the CHP thermoelectric ratio is set as the optimized output quantity of the current layer, and the optimized result is used as the known quantity to be substituted into the upper layer optimization model.
And step three, the unit distribution layer establishes a dynamic energy connector model according to the optimization calculation result of the previous 2 layers, and selects the operation evaluation index of the multi-energy network by taking the power distribution of the similar units as the optimization quantity.
Referring to fig. 7 to 8, the IECS hierarchical optimization scheduling method of the present invention is reasonably configured, and it can be seen that the optimized integrated energy consumption cost and unit energy consumption cost are both lower than the traditional operating modes of using heat to determine power and using electricity to determine heat; because V (t) given by upper-layer optimization is different from V (t) of scheduling, the energy utilization efficiency is better than the optimization effect in the first time, the energy utilization efficiency keeps a better level, and the scheduling work of energy integration and low cost can be met. The invention establishes an EH expansion model and an energy connector dynamic model of EH unit internal energy efficiency characteristics and external energy distribution, aims at the lowest economic cost, the highest energy utilization efficiency and the highest operation efficiency in a region, determines the CHP gas ratio and the thermoelectric ratio by a multi-energy split-flow layer optimization system and an energy efficiency optimization layer system which are a nonlinear double-layer programming (NBLP) problem, and determines the power ratio of a plurality of energy converters in the region by considering the multi-objective optimization problem of the energy connector dynamic process. Thermoelectric decoupling is completed on the basis of the EH, and the complex optimization problem of multi-node coupling is classified into the problem of planning after uniform decoupling optimization. From the simulation result, the optimization scheme meets the economic and environmental requirements of the ICES of the region and realizes the optimized operation of the electric heating and air network.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. The comprehensive energy scheduling system comprises comprehensive energy systems which are mutually associated, wherein the comprehensive energy systems are carried on an intelligent control platform, and the intelligent control platform is in communication connection with each comprehensive energy system; the method is characterized in that: the correlated comprehensive energy system is used for an EH dispatching ICES operation system, and on the premise that the EH dispatching ICES operation system meets the energy demand of a user, the following thermoelectric decoupling matrixes are established on the basis of minimized operation cost: wherein Le and Lh are respectively the actual electric and thermal load amount for measuring and transferring load; pe, Pg and Po respectively use the total energy of the electric energy of the power plant, the natural gas and the primary energy of the fuel oil for the regional energy network; an energy exchange scheme between any two of the at least one energy integration system associated with each other is determined.
2. The integrated energy scheduling system of claim 1, wherein: the comprehensive energy system comprises a multi-energy split-flow layer optimization system, an energy efficiency optimization layer system and a unit optimization distribution layer system.
3. The integrated energy scheduling system of claim 2, wherein: in the multi-energy split-flow layer optimization system, C is the comprehensive operation cost; p is the pollutant emission cost.
4. The integrated energy scheduling system of claim 2, wherein: f in the energy efficiency optimization layer system is the total energy output and energy input, and the decision variable is the CHP thermoelectric ratio.
5. The integrated energy scheduling system of claim 2, wherein: in the unit optimization distribution layer system, Mk is a constant and is determined by pipeline parameters, ambient temperature and working media, sij is the flow of the pipeline, and the positive direction is that a node i flows to a node j; pi is the pressure intensity of a natural gas network node i, the natural gas flow continuity equation is M-Agf, wherein M is the outflow flow of each natural gas node, Ag is the natural gas node branch incidence matrix with the compressor removed, and f is the outflow flow of the natural gas pipeline.
6. The integrated energy scheduling system of claim 1, wherein: v in the electrolytic coupling matrix formula is the natural gas power of the input CHP, and the proportion of V in the total gas purchasing power is set to be more than or equal to 0 and less than or equal to 1.
7. The integrated energy scheduling system of claim 5, wherein: the unit optimization distribution layer system adopts a mode that a gas direct-drive compressor works in a fixed output pressure.
8. The energy system according to any one of claims 1 to 7, wherein: comprising the following steps of a scheduling method,
step one, the multi-energy shunt layer takes the minimum ICES comprehensive energy cost as a calculation target, and the CHP thermoelectric ratio obtained by optimizing the lower layer is substituted into the optimization calculation.
And step two, the energy efficiency optimization layer maximizes the energy utilization efficiency of the ICES on the basis that the upper layer is optimized to give the natural gas energy utilization ratio of CHP and GB.
And step three, the unit distribution layer establishes a dynamic energy connector model according to the optimization calculation result of the previous 2 layers, and power distribution of the similar units is used as an optimization quantity.
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