CN113048547A - Power distribution method and device of comprehensive energy heating system - Google Patents
Power distribution method and device of comprehensive energy heating system Download PDFInfo
- Publication number
- CN113048547A CN113048547A CN201911374678.5A CN201911374678A CN113048547A CN 113048547 A CN113048547 A CN 113048547A CN 201911374678 A CN201911374678 A CN 201911374678A CN 113048547 A CN113048547 A CN 113048547A
- Authority
- CN
- China
- Prior art keywords
- heat supply
- power
- heating system
- energy
- comprehensive energy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010438 heat treatment Methods 0.000 title claims abstract description 330
- 238000009826 distribution Methods 0.000 title claims abstract description 98
- 238000000034 method Methods 0.000 title claims abstract description 30
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims abstract description 236
- 239000003345 natural gas Substances 0.000 claims abstract description 136
- 238000005485 electric heating Methods 0.000 claims abstract description 60
- 239000007789 gas Substances 0.000 claims description 93
- 238000006243 chemical reaction Methods 0.000 claims description 20
- 125000004432 carbon atom Chemical group C* 0.000 claims description 6
- 230000006835 compression Effects 0.000 claims description 6
- 238000007906 compression Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 abstract description 8
- 230000005540 biological transmission Effects 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 27
- 238000010586 diagram Methods 0.000 description 10
- 238000005457 optimization Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 230000008878 coupling Effects 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 4
- 238000005859 coupling reaction Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 230000000295 complement effect Effects 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1096—Arrangement or mounting of control or safety devices for electric heating systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to a power distribution method and a device of a comprehensive energy heating system, comprising the following steps: determining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system according to the energy loss in the comprehensive energy heating system; determining the distribution proportion of electric energy heat supply power and the distribution proportion of natural gas heat supply power by using the optimal power value required by each electric heat supply device and the optimal power value required by each natural gas heat supply device in the comprehensive energy heat supply system; the electric energy heating power and the natural gas heating power are distributed to the comprehensive energy heating system based on the distribution proportion of the electric energy heating power and the distribution proportion of the natural gas heating power, the transmission consumption of the system is considered, the complex calculation method is simplified, the system consumption is calculated, and the optimal scheme of the system operation is obtained.
Description
Technical Field
The invention relates to the field of analysis of operation conditions of an integrated energy heating system, in particular to a power distribution method and device of the integrated energy heating system.
Background
Along with the development of economic society, the intimacy of energy and human life is continuously increased, and the scientificity and rationality of energy production, distribution, transportation and use not only concern the energy industry itself, but also have important influence on various aspects such as economic transformation development, environmental protection, social safety and the like. Although the construction of the current energy system obtains huge achievements, the problems of difficult renewable energy consumption, serious environmental pollution, low overall energy efficiency and the like are still serious. The traditional urban energy supply is mainly divided into several items such as electric power, gas and heat supply, and the items are respectively completed by corresponding energy departments. The energy supply mode which is divided into different classes and lacks of overall planning not only causes the waste of resources and facilities but also cannot exert the complementary advantages of the properties of various energy sources because the mutual conversion property among different energy sources is not considered, thereby influencing the improvement of the utilization efficiency of the whole energy sources.
The energy-saving potential generated by the overall optimization of the comprehensive energy heating system is far greater than the energy-saving effect of energy-saving transformation of a single energy-using object. Therefore, an overall optimization scheme of the comprehensive energy heating system is urgently needed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a power distribution method of a comprehensive energy heating system, which considers the transmission consumption of the system, simplifies the prior complex calculation method, calculates the system consumption at the same time and obtains the optimal scheme of the system operation.
The purpose of the invention is realized by adopting the following technical scheme:
in a method of power distribution for an integrated energy heating system, the improvement comprising:
determining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system according to the energy loss in the comprehensive energy heating system;
determining the distribution proportion of electric energy heat supply power and the distribution proportion of natural gas heat supply power by using the optimal power value required by each electric heat supply device and the optimal power value required by each natural gas heat supply device in the comprehensive energy heat supply system;
and distributing the electric energy heat supply power and the natural gas heat supply power to the comprehensive energy heat supply system based on the distribution proportion of the electric energy heat supply power and the distribution proportion of the natural gas heat supply power.
Preferably, the determining the optimal value of the required power of each electric heating device and the optimal value of the required power of each natural gas heating device in the integrated energy heating system according to the energy loss in the integrated energy heating system includes:
and constructing an objective function by taking the minimum energy loss in the comprehensive energy heating system as an objective, solving the objective function by using an interior point method, and obtaining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system.
Further, the objective function is determined as follows:
in the formula, f is the energy loss in the comprehensive energy heating system, n is the total number of electric heating equipment in the comprehensive energy heating system, m is the total number of gas turbines in the comprehensive energy heating system, T is the total number of gas boilers in the comprehensive energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the required power of the jth gas turbine in the integrated energy heating system,
for the heating efficiency of the tth gas boiler in the comprehensive energy heating system,
for the power required by the t-th gas boiler in the integrated energy heat supply system, PhτThe equivalent power of the gas consumption of the h compressor in the comprehensive energy heating system is obtained.
Further, determining a balance constraint condition corresponding to the pre-established comprehensive energy source heating system loss objective function according to the following formula:
in the above formula, LhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgNatural gas heating power of the comprehensive energy heating system;
determining the non-equilibrium constraint condition corresponding to the pre-established comprehensive energy source heat supply system loss objective function according to the following formula:
in the above formula, the first and second carbon atoms are,
the minimum value of the electric energy heating power of the comprehensive energy heating system,
the maximum value of the electric energy heating power of the comprehensive energy heating system,
is the minimum value of the natural gas heating power of the comprehensive energy heating system,
the natural gas heating power of the comprehensive energy heating system is the maximum value.
Preferably, the determining the distribution proportion of the electric energy heating power and the distribution proportion of the natural gas heating power in the integrated energy heating system by using the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the integrated energy heating system includes:
determining the distribution proportion alpha of the electric energy heat supply power in the comprehensive energy heat supply system according to the following formula:
determining the distribution proportion beta of the natural gas heating power in the comprehensive energy heating system according to the following formula:
in the above formula, n is the total number of electric heating equipment in the integrated energy heating system, m is the total number of gas turbines in the integrated energy heating system, T is the total number of gas boilers in the integrated energy heating system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the heat supply efficiency, L, of the tth gas boiler in the integrated energy heat supply systemhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgThe natural gas heat supply power of the comprehensive energy source heat supply system.
Further, the equivalent power Ph tau of the gas consumption of the h compressor in the comprehensive energy heating system is determined according to the following formula:
in the above formula, a is an energy conversion efficiency constant of the compressor, b is an energy conversion efficiency first-order term constant of the compressor, c is an energy conversion efficiency second-order term constant of the compressor, and HhτThe power consumption of the h compressor in the comprehensive energy heating system is calculated;
wherein, the power consumption H of the H compressor in the comprehensive energy heating system is determined according to the following formulahτ：
In the above formula, eta is the compressor efficiency, fhmnVolume flow rate through the h-th compressor in the natural gas network, rho is the density of the natural gas, ZhkThe compression factor of the h compressor in the comprehensive energy heating system is obtained; t ishkThe temperature of the h-th compressor in the comprehensive energy source heat supply system, r is the gas adiabatic index, pimIs the pressure of the head end node of the pipeline in the natural gas network, pinIs the pressure at the end node of the pipeline in the natural gas network.
Preferably, the distributing the electric energy heating power and the natural gas heating power to the comprehensive energy heating system based on the distribution proportion of the electric energy heating power and the distribution proportion of the natural gas heating power includes:
the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be alpha P, the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be beta P, wherein alpha is the distribution proportion of the electric energy heat supply power in the comprehensive energy heat supply system, beta is the distribution proportion of the natural gas heat supply power in the comprehensive energy heat supply system, and P is the total demand of the heat supply power in the comprehensive energy heat supply system.
In a power distribution apparatus for an integrated energy heating system, the improvement comprising:
the first determining module is used for determining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system according to the energy loss in the comprehensive energy heating system;
the second determining module is used for determining the distribution proportion of the electric energy heat supply power and the distribution proportion of the natural gas heat supply power by using the optimal power value required by each electric heat supply device and the optimal power value required by each natural gas heat supply device in the comprehensive energy heat supply system;
and the distribution module is used for distributing the electric energy heat supply power and the natural gas heat supply power to the comprehensive energy heat supply system based on the distribution proportion of the electric energy heat supply power and the distribution proportion of the natural gas heat supply power.
Preferably, the first determining module is specifically configured to:
and constructing an objective function by taking the minimum energy loss in the comprehensive energy heating system as an objective, solving the objective function by using an interior point method, and obtaining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system.
Further, the objective function is determined as follows:
in the formula, f is the energy loss in the comprehensive energy heating system, n is the total number of electric heating equipment in the comprehensive energy heating system, m is the total number of gas turbines in the comprehensive energy heating system, T is the total number of gas boilers in the comprehensive energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
heating system for comprehensive energyThe heating efficiency of the jth gas turbine in the system,
for the required power of the jth gas turbine in the integrated energy heating system,
for the heating efficiency of the tth gas boiler in the comprehensive energy heating system,
for the power required by the t-th gas boiler in the integrated energy heat supply system, PhτThe equivalent power of the gas consumption of the h compressor in the comprehensive energy heating system is obtained.
Further, determining a balance constraint condition corresponding to the pre-established comprehensive energy source heating system loss objective function according to the following formula:
in the above formula, LhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgNatural gas heating power of the comprehensive energy heating system;
determining the non-equilibrium constraint condition corresponding to the pre-established comprehensive energy source heat supply system loss objective function according to the following formula:
in the above formula, the first and second carbon atoms are,
the minimum value of the electric energy heating power of the comprehensive energy heating system,
the maximum value of the electric energy heating power of the comprehensive energy heating system,
is the minimum value of the natural gas heating power of the comprehensive energy heating system,
the natural gas heating power of the comprehensive energy heating system is the maximum value.
Preferably, the second determining module is specifically configured to:
determining the distribution proportion alpha of the electric energy heat supply power in the comprehensive energy heat supply system according to the following formula:
determining the distribution proportion beta of the natural gas heating power in the comprehensive energy heating system according to the following formula:
in the above formula, n is the total number of electric heating equipment in the integrated energy heating system, m is the total number of gas turbines in the integrated energy heating system, T is the total number of gas boilers in the integrated energy heating system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the heat supply efficiency, L, of the tth gas boiler in the integrated energy heat supply systemhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgThe natural gas heat supply power of the comprehensive energy source heat supply system.
Further, the equivalent power P of the gas consumption of the h compressor in the comprehensive energy heating system is determined according to the following formulahτ：
In the above formula, a is an energy conversion efficiency constant of the compressor, b is an energy conversion efficiency first-order term constant of the compressor, c is an energy conversion efficiency second-order term constant of the compressor, and HhτThe power consumption of the h compressor in the comprehensive energy heating system is calculated;
wherein, the power consumption H of the H compressor in the comprehensive energy heating system is determined according to the following formulahτ：
In the above formula, eta is the compressor efficiency, fhmnVolume flow rate through the h-th compressor in the natural gas network, rho is the density of the natural gas, ZhkThe compression factor of the h compressor in the comprehensive energy heating system is obtained; t ishkThe temperature of the h-th compressor in the comprehensive energy source heat supply system, r is the gas adiabatic index, pimIs the pressure of the head end node of the pipeline in the natural gas network, pinIs the pressure at the end node of the pipeline in the natural gas network.
Preferably, the allocation module is specifically configured to:
the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be alpha P, the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be beta P, wherein alpha is the distribution proportion of the electric energy heat supply power in the comprehensive energy heat supply system, beta is the distribution proportion of the natural gas heat supply power in the comprehensive energy heat supply system, and P is the total demand of the heat supply power in the comprehensive energy heat supply system.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention provides a power distribution method and a device of a comprehensive energy heating system, comprising the following steps: determining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system according to the energy loss in the comprehensive energy heating system; determining the distribution proportion of electric energy heat supply power and the distribution proportion of natural gas heat supply power by using the optimal power value required by each electric heat supply device and the optimal power value required by each natural gas heat supply device in the comprehensive energy heat supply system; the electric energy heating power and the natural gas heating power are distributed to the comprehensive energy heating system based on the distribution proportion of the electric energy heating power and the distribution proportion of the natural gas heating power, the transmission consumption of the system is considered, the complementary action of the multi-energy complementary energy system is improved, the loss among energy networks is reduced, the previous complex calculation method is simplified, the optimal scheme of system operation is obtained, and the contribution is made to the research of interconnection scheduling of more renewable energy multi-energy systems.
Drawings
FIG. 1 is a flow chart of a power distribution method of an integrated energy heating system provided by the present invention;
FIG. 2 is a schematic diagram of an integrated energy heating system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a power distribution device of the integrated energy heating system provided by the invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
The invention provides a power distribution method of an integrated energy heating system, as shown in figure 1, comprising the following steps:
101, determining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system according to the energy loss in the comprehensive energy heating system;
102, determining the distribution proportion of electric energy heating power and the distribution proportion of natural gas heating power by using the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system;
103, distributing the electric energy heating power and the natural gas heating power to the comprehensive energy heating system based on the distribution proportion of the electric energy heating power and the distribution proportion of the natural gas heating power.
In the comprehensive energy heating system, different modes exist in the composition and structure of an energy system due to different coupling equipment. The two operation modes are comprehensively considered, namely, the power and the natural gas are used as the energy input of the comprehensive energy system, the heating load is used as the output of the system, and the device-level coupling and the system-level coupling are used as nodes to describe the energy coupling relation of the regional comprehensive energy system. For example, as shown in FIG. 2: the model can be regarded as a multi-input and single-output unit of the comprehensive energy system, and the main functions of the model are to complete the allocation, conversion, regulation, supplement, storage and the like of different energies. By the system, different energy networks are connected, and the input ends of the different energy networks are energy supplies including an electric energy supply Pe (wherein the electric energy can be a conventional power plant and can also be a renewable energy supply) and a natural gas supply Pg. The output end is the energy load side for the region, mainly aims at the heat supply load and is represented by Lh.
The heating system mainly includes an electric heating apparatus (AC, generally an electric air conditioner, an electric boiler, and the like), a natural gas heating apparatus (including a gas turbine (MT), a Gas Boiler (GB)), and a natural gas pressure regulator (GC).
Specifically, the step 101 includes:
and constructing an objective function by taking the minimum energy loss in the comprehensive energy heating system as an objective, solving the objective function by using an interior point method, and obtaining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system.
Wherein the objective function is determined as follows:
in the formula, f is the energy loss in the comprehensive energy heating system, n is the total number of electric heating equipment in the comprehensive energy heating system, m is the total number of gas turbines in the comprehensive energy heating system, T is the total number of gas boilers in the comprehensive energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the required power of the jth gas turbine in the integrated energy heating system,
for the heating efficiency of the tth gas boiler in the comprehensive energy heating system,
for the power required by the t-th gas boiler in the integrated energy heat supply system, PhτThe equivalent power of the gas consumption of the h compressor in the comprehensive energy heating system is obtained.
Determining a balance constraint condition corresponding to the pre-established comprehensive energy source heat supply system loss objective function according to the following formula:
in the above formula, LhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgNatural gas heating power of the comprehensive energy heating system;
determining the non-equilibrium constraint condition corresponding to the pre-established comprehensive energy source heat supply system loss objective function according to the following formula:
in the above formula, the first and second carbon atoms are,
the minimum value of the electric energy heating power of the comprehensive energy heating system,
the maximum value of the electric energy heating power of the comprehensive energy heating system,
is the minimum value of the natural gas heating power of the comprehensive energy heating system,
the natural gas heating power of the comprehensive energy heating system is the maximum value.
In the embodiment provided by the invention, solving the objective function by using the interior point method can comprise the following steps:
assigning values to variables involved in an optimization model, and determining scheduling initial values of various energy devices and various cooling, heating and power flexible loads; setting the maximum iteration times and the iteration termination error limit;
introducing a relaxation variable, and equalizing inequality constraint in the optimized scheduling model;
utilizing Lagrange function to convert optimization calculation after constraint equalisation into optimization calculation without constraint condition;
concretizing the unconstrained optimization problem, and obtaining a series of nonlinear equations by kkt conditions;
fifthly, for Hessian matrix LDL in the nonlinear equation systemTDecomposing and carrying out iterative solution;
sixthly, judging whether the calculation result is converged, and if so, outputting the calculation result; otherwise, continuing iteration, and if the maximum iteration times are exceeded and the iteration times are not converged, changing the initial value of the variable and recalculating;
and seventhly, if the calculation result obtained by solving based on the Hessian interior point method generally meets the optimization judgment condition, the result is a final optimization scheduling plan and comprises the required power of various types of heat supply in various energy networks.
Based on the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the integrated energy heating system obtained in the above process, the distribution proportion of the electric energy heating power and the distribution proportion of the natural gas heating power in the integrated energy heating system can be obtained, so that the step 102 includes:
determining the distribution proportion alpha of the electric energy heat supply power in the comprehensive energy heat supply system according to the following formula:
determining the distribution proportion beta of the natural gas heating power in the comprehensive energy heating system according to the following formula:
in the above formula, n is the total number of electric heating equipment in the integrated energy heating system, m is the total number of gas turbines in the integrated energy heating system, T is the total number of gas boilers in the integrated energy heating system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the heat supply efficiency, L, of the tth gas boiler in the integrated energy heat supply systemhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgThe natural gas heat supply power of the comprehensive energy source heat supply system.
Wherein, the equivalent power P of the gas consumption of the h compressor in the comprehensive energy heating system is determined according to the following formulahτ：
In the above formula, a is an energy conversion efficiency constant of the compressor,b is the primary term constant of the energy conversion efficiency of the compressor, c is the secondary term constant of the energy conversion efficiency of the compressor, HhτThe power consumption of the h compressor in the comprehensive energy heating system is calculated;
determining the power consumption H of the H compressor in the comprehensive energy heating system according to the following formulahτ：
In the above formula, eta is the compressor efficiency, fhmnVolume flow rate through the h-th compressor in the natural gas network, rho is the density of the natural gas, ZhkThe compression factor of the h compressor in the comprehensive energy heating system is obtained; t ishkThe temperature of the h-th compressor in the comprehensive energy source heat supply system, r is the gas adiabatic index, pimIs the pressure of the head end node of the pipeline in the natural gas network, pinIs the pressure at the end node of the pipeline in the natural gas network.
Further, in the preferred embodiment of the present invention, in the step 103, the distribution ratio of the electric energy heating power and the distribution ratio of the natural gas heating power may be used to distribute the electric energy heating power and the natural gas heating power to the integrated energy heating system, and the specific process is as follows:
the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be alpha P, the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be beta P, wherein alpha is the distribution proportion of the electric energy heat supply power in the comprehensive energy heat supply system, beta is the distribution proportion of the natural gas heat supply power in the comprehensive energy heat supply system, and P is the total demand of the heat supply power in the comprehensive energy heat supply system.
Based on the same scheme, the invention also provides a power distribution device of the integrated energy heating system, as shown in fig. 3, the device comprises:
the first determining module is used for determining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system according to the energy loss in the comprehensive energy heating system;
the second determining module is used for determining the distribution proportion of the electric energy heat supply power and the distribution proportion of the natural gas heat supply power by using the optimal power value required by each electric heat supply device and the optimal power value required by each natural gas heat supply device in the comprehensive energy heat supply system;
and the distribution module is used for distributing the electric energy heat supply power and the natural gas heat supply power to the comprehensive energy heat supply system based on the distribution proportion of the electric energy heat supply power and the distribution proportion of the natural gas heat supply power.
Preferably, the first determining module is specifically configured to:
and constructing an objective function by taking the minimum energy loss in the comprehensive energy heating system as an objective, solving the objective function by using an interior point method, and obtaining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system.
Further, the objective function is determined as follows:
in the formula, f is the energy loss in the comprehensive energy heating system, n is the total number of electric heating equipment in the comprehensive energy heating system, m is the total number of gas turbines in the comprehensive energy heating system, T is the total number of gas boilers in the comprehensive energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the required power of the jth gas turbine in the integrated energy heating system,
for the heating efficiency of the tth gas boiler in the comprehensive energy heating system,
for the power required by the t-th gas boiler in the integrated energy heat supply system, PhτThe equivalent power of the gas consumption of the h compressor in the comprehensive energy heating system is obtained.
Further, determining a balance constraint condition corresponding to the pre-established comprehensive energy source heating system loss objective function according to the following formula:
in the above formula, LhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgNatural gas heating power of the comprehensive energy heating system;
determining the non-equilibrium constraint condition corresponding to the pre-established comprehensive energy source heat supply system loss objective function according to the following formula:
in the above formula, the first and second carbon atoms are,
the minimum value of the electric energy heating power of the comprehensive energy heating system,
for comprehensive energy supplyThe electric energy of the thermal system supplies the maximum value of the heat power,
is the minimum value of the natural gas heating power of the comprehensive energy heating system,
the natural gas heating power of the comprehensive energy heating system is the maximum value.
Preferably, the second determining module is specifically configured to:
determining the distribution proportion alpha of the electric energy heat supply power in the comprehensive energy heat supply system according to the following formula:
determining the distribution proportion beta of the natural gas heating power in the comprehensive energy heating system according to the following formula:
in the above formula, n is the total number of electric heating equipment in the integrated energy heating system, m is the total number of gas turbines in the integrated energy heating system, T is the total number of gas boilers in the integrated energy heating system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the heat supply efficiency, L, of the tth gas boiler in the integrated energy heat supply systemhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgThe natural gas heat supply power of the comprehensive energy source heat supply system.
Further, the equivalent power P of the gas consumption of the h compressor in the comprehensive energy heating system is determined according to the following formulahτ：
In the above formula, a is an energy conversion efficiency constant of the compressor, b is an energy conversion efficiency first-order term constant of the compressor, c is an energy conversion efficiency second-order term constant of the compressor, and HhτThe power consumption of the h compressor in the comprehensive energy heating system is calculated;
wherein, the power consumption H of the H compressor in the comprehensive energy heating system is determined according to the following formulahτ：
In the above formula, eta is the compressor efficiency, fhmnVolume flow rate through the h-th compressor in the natural gas network, rho is the density of the natural gas, ZhkThe compression factor of the h compressor in the comprehensive energy heating system is obtained; t ishkThe temperature of the h-th compressor in the comprehensive energy source heat supply system, r is the gas adiabatic index, pimIs the pressure of the head end node of the pipeline in the natural gas network, pinIs the pressure at the end node of the pipeline in the natural gas network.
Preferably, the allocation module is specifically configured to:
the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be alpha P, the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be beta P, wherein alpha is the distribution proportion of the electric energy heat supply power in the comprehensive energy heat supply system, beta is the distribution proportion of the natural gas heat supply power in the comprehensive energy heat supply system, and P is the total demand of the heat supply power in the comprehensive energy heat supply system.
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.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (14)
1. A method of power distribution for an integrated energy heating system, the method comprising:
determining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system according to the energy loss in the comprehensive energy heating system;
determining the distribution proportion of electric energy heat supply power and the distribution proportion of natural gas heat supply power by using the optimal power value required by each electric heat supply device and the optimal power value required by each natural gas heat supply device in the comprehensive energy heat supply system;
and distributing the electric energy heat supply power and the natural gas heat supply power to the comprehensive energy heat supply system based on the distribution proportion of the electric energy heat supply power and the distribution proportion of the natural gas heat supply power.
2. The method of claim 1, wherein determining the optimal value of the power demand of each electric heating facility and the optimal value of the power demand of each natural gas heating facility in the integrated energy heating system based on the amount of energy lost in the integrated energy heating system comprises:
and constructing an objective function by taking the minimum energy loss in the comprehensive energy heating system as an objective, solving the objective function by using an interior point method, and obtaining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system.
3. The method of claim 2, wherein the objective function is determined as follows:
in the formula, f is the energy loss in the comprehensive energy heating system, n is the total number of electric heating equipment in the comprehensive energy heating system, m is the total number of gas turbines in the comprehensive energy heating system, T is the total number of gas boilers in the comprehensive energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the required power of the jth gas turbine in the integrated energy heating system,
for the heating efficiency of the tth gas boiler in the comprehensive energy heating system,
for the power required by the t-th gas boiler in the integrated energy heat supply system, PhτThe equivalent power of the gas consumption of the h compressor in the comprehensive energy heating system is obtained.
4. The method of claim 3, wherein the balance constraint corresponding to the pre-established integrated energy heating system loss objective function is determined according to the following equation:
in the above formula, LhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgNatural gas heating power of the comprehensive energy heating system;
determining the non-equilibrium constraint condition corresponding to the pre-established comprehensive energy source heat supply system loss objective function according to the following formula:
in the above formula, the first and second carbon atoms are,
the minimum value of the electric energy heating power of the comprehensive energy heating system,
the maximum value of the electric energy heating power of the comprehensive energy heating system,
is the minimum value of the natural gas heating power of the comprehensive energy heating system,
natural gas heating power for comprehensive energy source heating systemA large value.
5. The method of claim 1, wherein the step of determining the distribution ratio of the electric heating power and the distribution ratio of the natural gas heating power in the integrated energy heating system by using the optimal power requirement value of each electric heating device and the optimal power requirement value of each natural gas heating device in the integrated energy heating system comprises the following steps:
determining the distribution proportion alpha of the electric energy heat supply power in the comprehensive energy heat supply system according to the following formula:
determining the distribution proportion beta of the natural gas heating power in the comprehensive energy heating system according to the following formula:
in the above formula, n is the total number of electric heating equipment in the integrated energy heating system, m is the total number of gas turbines in the integrated energy heating system, T is the total number of gas boilers in the integrated energy heating system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the heat supply efficiency, L, of the tth gas boiler in the integrated energy heat supply systemhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgThe natural gas heat supply power of the comprehensive energy source heat supply system.
6. A method according to claim 3, characterized in that the equivalent power P for the gas consumption of the h compressor in the integrated energy heating system is determined according to the following equationhτ：
In the above formula, a is an energy conversion efficiency constant of the compressor, b is an energy conversion efficiency first-order term constant of the compressor, c is an energy conversion efficiency second-order term constant of the compressor, and HhτThe power consumption of the h compressor in the comprehensive energy heating system is calculated;
wherein, the power consumption H of the H compressor in the comprehensive energy heating system is determined according to the following formulahτ：
In the above formula, eta is the compressor efficiency, fhmnVolume flow rate through the h-th compressor in the natural gas network, rho is the density of the natural gas, ZhkThe compression factor of the h compressor in the comprehensive energy heating system is obtained; t ishkThe temperature of the h-th compressor in the comprehensive energy source heat supply system, r is the gas adiabatic index, pimIs the pressure of the head end node of the pipeline in the natural gas network, pinIs the pressure at the end node of the pipeline in the natural gas network.
7. The method of claim 1, wherein distributing the electric heating power and the natural gas heating power to the integrated energy heating system based on the distribution ratio of the electric heating power and the distribution ratio of the natural gas heating power comprises:
the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be alpha P, the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be beta P, wherein alpha is the distribution proportion of the electric energy heat supply power in the comprehensive energy heat supply system, beta is the distribution proportion of the natural gas heat supply power in the comprehensive energy heat supply system, and P is the total demand of the heat supply power in the comprehensive energy heat supply system.
8. A power distribution apparatus of an integrated energy heating system, the apparatus comprising:
the first determining module is used for determining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system according to the energy loss in the comprehensive energy heating system;
the second determining module is used for determining the distribution proportion of the electric energy heat supply power and the distribution proportion of the natural gas heat supply power by using the optimal power value required by each electric heat supply device and the optimal power value required by each natural gas heat supply device in the comprehensive energy heat supply system;
and the distribution module is used for distributing the electric energy heat supply power and the natural gas heat supply power to the comprehensive energy heat supply system based on the distribution proportion of the electric energy heat supply power and the distribution proportion of the natural gas heat supply power.
9. The apparatus of claim 8, wherein the first determining module is specifically configured to:
and constructing an objective function by taking the minimum energy loss in the comprehensive energy heating system as an objective, solving the objective function by using an interior point method, and obtaining the optimal power value required by each electric heating device and the optimal power value required by each natural gas heating device in the comprehensive energy heating system.
10. The apparatus of claim 9, wherein the objective function is determined as follows:
in the formula, f is the energy loss in the comprehensive energy heating system, n is the total number of electric heating equipment in the comprehensive energy heating system, m is the total number of gas turbines in the comprehensive energy heating system, T is the total number of gas boilers in the comprehensive energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the required power of the jth gas turbine in the integrated energy heating system,
for the heating efficiency of the tth gas boiler in the comprehensive energy heating system,
for the power required by the t-th gas boiler in the integrated energy heat supply system, PhτThe equivalent power of the gas consumption of the h compressor in the comprehensive energy heating system is obtained.
11. The apparatus of claim 10, wherein the balance constraint corresponding to the pre-established integrated energy heating system loss objective function is determined according to the following equation:
in the above formula, LhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgNatural gas heating power of the comprehensive energy heating system;
determining the non-equilibrium constraint condition corresponding to the pre-established comprehensive energy source heat supply system loss objective function according to the following formula:
in the above formula, the first and second carbon atoms are,
the minimum value of the electric energy heating power of the comprehensive energy heating system,
the maximum value of the electric energy heating power of the comprehensive energy heating system,
is the minimum value of the natural gas heating power of the comprehensive energy heating system,
the natural gas heating power of the comprehensive energy heating system is the maximum value.
12. The apparatus of claim 8, wherein the second determining module is specifically configured to:
determining the distribution proportion alpha of the electric energy heat supply power in the comprehensive energy heat supply system according to the following formula:
determining the distribution proportion beta of the natural gas heating power in the comprehensive energy heating system according to the following formula:
in the above formula, n is the total number of electric heating equipment in the integrated energy heating system, m is the total number of gas turbines in the integrated energy heating system, T is the total number of gas boilers in the integrated energy heating system,
for the required power of the ith electric heating equipment in the integrated energy heating system,
for the heat supply efficiency of the ith electric heat supply equipment in the comprehensive energy heat supply system,
for the heating efficiency of the jth gas turbine in the integrated energy heating system,
for the heat supply efficiency, L, of the tth gas boiler in the integrated energy heat supply systemhFor thermal load power, vMTDistribution coefficient of 0 < v for gas turbine of heat supply part of natural gasMT＜1，PeElectric heating power, P, for an integrated energy heating systemgThe natural gas heat supply power of the comprehensive energy source heat supply system.
13. The apparatus of claim 10,determining the equivalent power P of the gas consumption of the h compressor in the comprehensive energy heating system according to the following formulahτ：
In the above formula, a is an energy conversion efficiency constant of the compressor, b is an energy conversion efficiency first-order term constant of the compressor, c is an energy conversion efficiency second-order term constant of the compressor, and HhτThe power consumption of the h compressor in the comprehensive energy heating system is calculated;
wherein, the power consumption H of the H compressor in the comprehensive energy heating system is determined according to the following formulahτ：
In the above formula, eta is the compressor efficiency, fhmnVolume flow rate through the h-th compressor in the natural gas network, rho is the density of the natural gas, ZhkThe compression factor of the h compressor in the comprehensive energy heating system is obtained; t ishkThe temperature of the h-th compressor in the comprehensive energy source heat supply system, r is the gas adiabatic index, pimIs the pressure of the head end node of the pipeline in the natural gas network, pinIs the pressure at the end node of the pipeline in the natural gas network.
14. The apparatus of claim 8, wherein the assignment module is specifically configured to:
the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be alpha P, the electric energy heat supply power of the comprehensive energy heat supply system is distributed to be beta P, wherein alpha is the distribution proportion of the electric energy heat supply power in the comprehensive energy heat supply system, beta is the distribution proportion of the natural gas heat supply power in the comprehensive energy heat supply system, and P is the total demand of the heat supply power in the comprehensive energy heat supply system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911374678.5A CN113048547A (en) | 2019-12-27 | 2019-12-27 | Power distribution method and device of comprehensive energy heating system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911374678.5A CN113048547A (en) | 2019-12-27 | 2019-12-27 | Power distribution method and device of comprehensive energy heating system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113048547A true CN113048547A (en) | 2021-06-29 |
Family
ID=76506593
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911374678.5A Pending CN113048547A (en) | 2019-12-27 | 2019-12-27 | Power distribution method and device of comprehensive energy heating system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113048547A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150094968A1 (en) * | 2009-02-26 | 2015-04-02 | Distributed Energy Management Inc. | Comfort-driven optimization of electric grid utilization |
| CN106056251A (en) * | 2016-06-12 | 2016-10-26 | 清华大学 | Electric-thermal coupled multi-energy-flow system optimization scheduling method |
| CN107665384A (en) * | 2017-10-27 | 2018-02-06 | 天津大学 | A kind of electric power heating power integrated energy system dispatching method of the energy source station containing multizone |
| CN109784569A (en) * | 2019-01-23 | 2019-05-21 | 华北电力大学 | A kind of regional complex energy resource system optimal control method |
| CN109884898A (en) * | 2019-03-22 | 2019-06-14 | 河海大学 | A kind of integrated energy system multi-Objective Fuzzy Optimization considering * efficiency |
| US20190369581A1 (en) * | 2017-01-11 | 2019-12-05 | Southeast University | Integrated energy system operational optimization method considering thermal inertia of district heating networks and buildings |
-
2019
- 2019-12-27 CN CN201911374678.5A patent/CN113048547A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150094968A1 (en) * | 2009-02-26 | 2015-04-02 | Distributed Energy Management Inc. | Comfort-driven optimization of electric grid utilization |
| CN106056251A (en) * | 2016-06-12 | 2016-10-26 | 清华大学 | Electric-thermal coupled multi-energy-flow system optimization scheduling method |
| US20190369581A1 (en) * | 2017-01-11 | 2019-12-05 | Southeast University | Integrated energy system operational optimization method considering thermal inertia of district heating networks and buildings |
| CN107665384A (en) * | 2017-10-27 | 2018-02-06 | 天津大学 | A kind of electric power heating power integrated energy system dispatching method of the energy source station containing multizone |
| CN109784569A (en) * | 2019-01-23 | 2019-05-21 | 华北电力大学 | A kind of regional complex energy resource system optimal control method |
| CN109884898A (en) * | 2019-03-22 | 2019-06-14 | 河海大学 | A kind of integrated energy system multi-Objective Fuzzy Optimization considering * efficiency |
Non-Patent Citations (1)
| Title |
|---|
| 王伟亮等: "《考虑运行约束的区域电力–天然气–热力综合能源系统能量流优化分析》", 《中国电机工程学报》, vol. 37, no. 24, 20 December 2017 (2017-12-20) * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation | |
| CN106505634B (en) | The supply of cooling, heating and electrical powers type microgrid operation method with control is coordinated and optimized based on two stages | |
| Zhao et al. | MPC-based optimal scheduling of grid-connected low energy buildings with thermal energy storages | |
| CN103426032B (en) | A kind of economic optimization dispatching method of cogeneration units | |
| Luo et al. | Design and analysis of a combined desalination and standalone CCHP (combined cooling heating and power) system integrating solar energy based on a bi-level optimization model | |
| Xu et al. | Look-ahead risk-constrained scheduling for an energy hub integrated with renewable energy | |
| CN105631528A (en) | NSGA-II and approximate dynamic programming-based multi-objective dynamic optimal power flow solving method | |
| CN112163304B (en) | Power transmission network redundancy constraint identification method, storage medium and computing equipment | |
| CN111245024B (en) | Comprehensive energy system robust optimization operation method based on model predictive control | |
| CN116341703A (en) | Method, system, medium and equipment for optimizing operation of park comprehensive energy system | |
| Shotorbani et al. | Enhanced real-time scheduling algorithm for energy management in a renewable-integrated microgrid | |
| Ikeda et al. | A new optimization strategy for the operating schedule of energy systems under uncertainty of renewable energy sources and demand changes | |
| Azimi et al. | A new approach on quantification of flexibility index in multi-carrier energy systems towards optimally energy hub management | |
| CN113988714A (en) | Dynamic planning method, device and medium for park integrated energy system considering multiple uncertainties | |
| Ma et al. | Collaborative optimization scheduling of integrated energy system considering user dissatisfaction | |
| Jayawardana et al. | Optimisation framework for the operation of battery storage within solar‐rich microgrids | |
| CN105631549B (en) | Virtual plant distributed model predictive control method under active distribution network environment | |
| CN112713615B (en) | Quick coordination scheduling method and system for electricity-gas integrated energy system | |
| CN111969602B (en) | Day-ahead random optimization scheduling method and device for comprehensive energy system | |
| CN117175555A (en) | Active power distribution network economic dispatching method considering micro-grid power supporting capability | |
| CN113048547A (en) | Power distribution method and device of comprehensive energy heating system | |
| CN111598348A (en) | Power transmission network uniformity planning optimization method, system, medium and electronic equipment | |
| Zhang et al. | Chiller plant operation optimization with minimum up/down time constraints | |
| Elaiw et al. | A model predictive control approach to combined heat and power dynamic economic dispatch problem | |
| Xiao et al. | A two-stage distributionally robust coordinated dispatch for integrated electricity and natural-gas energy systems considering uncertainty of wind power |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |