CN-121984092-A - Wind-solar hydrogen storage isolated network system optimal configuration method containing network-structured energy storage

CN121984092ACN 121984092 ACN121984092 ACN 121984092ACN-121984092-A

Abstract

The invention discloses an optimal configuration method of a wind-solar hydrogen storage isolated grid system containing grid-structured energy storage, and belongs to the field of isolated grid power system configuration. The method comprises the steps of establishing an equipment model of a wind-light hydrogen storage isolated network system, wherein the equipment model comprises a wind generating set model, a photovoltaic generating set model, a net-structured energy storage model and a hydrogen production electrolytic tank model, and the wind generating set model and the net-structured energy storage model are inertia supporting sources of the system. The method quantifies the inertia level of the system based on generalized kinetic energy, thereby constructing a system frequency safety index, and introducing the index as a constraint condition into a double-layer optimization configuration model comprising an outer layer planning model with the maximum annual total income as a target and an inner layer operation model with the maximum operation safety and economy as targets. On the premise of meeting the system frequency safety requirement, the invention realizes reasonable configuration of the grid-structured energy storage and hydrogen production equipment, and improves the running stability and the overall economy of the wind-light hydrogen storage isolated grid system.

Inventors

YANG DEQUAN
PENG CHANG
LIANG GUANGPING
YANG ZEMING
GUO JING
Yang Ruocong
DU YAXIN
PANG YU
PEI XINGYU

Assignees

中国电建集团河北省电力勘测设计研究院有限公司

Dates

Publication Date: 20260505
Application Date: 20251224

Claims (10)

1. The wind-solar hydrogen storage isolated network system optimal configuration method with the network-structured energy storage is characterized by comprising the following steps of: step one, establishing an equipment model of the wind-light hydrogen storage isolated network system, wherein the equipment model comprises a photovoltaic model, a wind generating set model with additional virtual inertia control, a net-structured energy storage model, a hydrogen production electrolytic tank model and a local load model, and the wind generating set model and the net-structured energy storage model are inertia supporting sources of the wind-light hydrogen storage isolated network system; Step two, representing frequency safety indexes of the wind-light hydrogen storage isolated network system, namely determining frequency safety indexes required for guaranteeing frequency stability in the scene of the wind-light hydrogen storage isolated network system based on the equipment model established in the step one, wherein the indexes at least comprise actual total generalized kinetic energy which can be provided by the wind-light hydrogen storage isolated network system and minimum generalized kinetic energy requirement required by the wind-light hydrogen storage isolated network system; and thirdly, establishing an optimal configuration model, namely establishing the optimal configuration model of the wind-light hydrogen storage isolated network system by taking the maximum annual total income of the whole life cycle of the wind-light hydrogen storage isolated network system as an optimal target, and taking the frequency safety index represented in the second step as a constraint condition into the optimal configuration model for solving.
2. The method for optimally configuring the wind-solar hydrogen storage isolated network system with the network-structured energy storage according to claim 1 is characterized in that a calculation formula of the network-structured energy storage generalized kinetic energy provided by the network-structured energy storage model in the first step is as follows: E ess,in (t)＝H ess (t)P ess,N (1) Wherein P ess,N is the rated power of energy storage, H ess (t) is the inertial time constant of network-structured energy storage, and the expression of the inertial time constant of the network-structured energy storage is as follows: Wherein P sum (t) is the total output of the wind-solar field station, P min 、P max is the upper limit and the lower limit of a preset power interval for inertia adjustment of the grid-built energy storage respectively, and H min 、H max is the minimum value and the maximum value of the inertia time constant of the grid-built energy storage power station respectively.
3. The optimal configuration method of the wind-solar hydrogen storage isolated network system with the network-structured energy storage according to claim 1 is characterized in that a calculation formula of generalized kinetic energy provided by a wind generating set model in the first step is as follows: E wind,in (t)＝H wind (t)P wind,N (3) Wherein, P wind,N is the rated power of the fan, H wind (t) is the inertia time constant of the fan, and the expression of H wind (t) is: Wherein H wind,max is the maximum value of the inertia time constant of the fan, and P wind (t) is the real-time output of the fan.
4. The method for optimally configuring the wind-solar hydrogen storage isolated network system with the network-structured energy storage according to claim 1, wherein the hydrogen production cell model in the first step comprises calculation of the input power P el (t) of the hydrogen production cell, and the input power of the hydrogen production cell has the expression: P el (t)＝N el U el (t)I el (t) (5) Wherein U el (t) is the cell voltage, I el (t) is the input current, and N el is the cell series number.
5. The optimal configuration method of the wind-solar hydrogen storage isolated network system with the network-structured energy storage according to any one of claims 1 to 4 is characterized in that the frequency safety index represented in the second step is calculated for the scene of the wind-solar hydrogen storage isolated network system, and specifically comprises the following steps: The wind-light hydrogen storage isolated network system can provide generalized kinetic energy, and the specific calculation formula is as follows: E sys,in (t)＝E wind,in (t)+E ess,in (t) (6) The calculation formula of the minimum generalized kinetic energy requirement of the wind-light hydrogen storage isolated network system is as follows: wherein DeltaP max (t) is the expected maximum unbalanced power, roCoF max is the maximum frequency change rate allowed by the wind-light hydrogen storage isolated network system, and f 0 is the reference frequency of the wind-light hydrogen storage isolated network system; according to a dynamic swinging equation of the frequency of the power system, when unbalanced power delta P (t) exists in the wind-light hydrogen storage isolated network system, the frequency change rate of the wind-light hydrogen storage isolated network system is as follows: where ΔP 0 (t) is the initial disturbance power.
6. The optimization configuration method of the wind-solar hydrogen storage isolated network system with the network-structured energy storage according to claim 1 is characterized in that the optimization configuration model in the third step adopts a double-layer optimization configuration model, an outer layer planning model of the double-layer optimization configuration model aims at the maximum total annual income of the wind-solar hydrogen storage system in the whole life cycle, and the total annual income is: maxR p (X)＝R * op (X)-C inv (X) (9) x is an outer layer planning model decision variable, namely the equipment capacity combination X= [ P el,N ,P ess,N ,E ess,N ],C inv (X) to be optimized is annual investment cost, and R * op (X) is the optimal annual operation income obtained by optimizing and solving the inner layer operation model under the condition of the given capacity combination X; constraint conditions of the outer layer planning model are as follows:
7. The optimization configuration method of the wind-solar hydrogen storage isolated network system with the network-structured energy storage according to claim 1, wherein the optimization configuration model in the third step adopts a double-layer optimization configuration model, an inner-layer operation model of the double-layer optimization configuration model aims at the maximum annual operation of the system, and the annual operation income is: In the middle, annual hydrogen selling benefit The annual environmental benefit R en generated by the wind-solar hydrogen storage isolated network system and the annual operation cost C om are calculated as follows: R en ＝R te +R s (13) C om ＝C om,fix +C om,var (14) wherein: is the unit price of hydrogen, and the hydrogen is hydrogen, For annual hydrogen output of the wind-light hydrogen storage isolated network system, R te is equivalent environmental benefit of hydrogen production without adopting coal, R s is electric quantity benefit corresponding to wind-light new energy power generation, and the calculation formulas of the fixed operation and maintenance cost C om,fix and the variable operation and maintenance cost C om,var are as follows: C om,fix ＝C wind +C pv +m el,fix P el,N +m E,fix P ess,N (15) Wherein m el,fix is the annual fixed operation and maintenance cost of unit power of the hydrogen production electrolytic cell, m E,fix is the annual fixed operation and maintenance cost of unit power of the net-structured energy storage, m el,var is the variable operation and maintenance cost of unit electric quantity of the hydrogen production electrolytic cell and the net-structured energy storage, and alpha typical daily data are expanded to the conversion coefficient of the whole year; constraints of the inner layer operational model include: 1) Frequency safety constraint -RoCoF max ≤RoCoF(t)≤RoCoF max (17) E sys,in (t)＞E sys,min (t) (18) 2) Power balance constraint: Wherein P load (t) is the load power of the electrolytic cell, and P loss (t) is the waste electric power; 3) Other constraints: The method comprises the steps of producing the output constraint of the electrolytic cell model, constructing the output constraint of the net-shaped energy storage model and constructing the capacity constraint of the net-shaped energy storage model: u el (t)·0.2P el,N ≤P el t≤u el (t)P el,N (20) 0≤P ess,ch (t)≤u ch P ess,N (21) 0≤P ess,dis (t)≤u dis P ess,N (22) u ch +u dis ≤1 (23) E ess,min ≤E ess (t)≤E ess,max (25) E ess (T)＝E 0 (26) In the formula, u el (T) is an operation state variable of a hydrogen production electrolytic cell model, u el (T) =0, the electrolytic cell model is in a stop state, u el (T) =1, the electrolytic cell model is in an operation state, namely, the minimum operation power is 0.2 times of the rated power, E 0 、E ess (T) and E ess,min 、E ess,max are respectively the electric quantity at the initial time and the electric quantity at the final time of the grid formation energy storage and the allowable minimum and maximum electric quantity, and u ch 、u dis is respectively the charging and discharging identification of the energy storage.
8. An optimal configuration system for net-containing energy storage applied to a wind-solar hydrogen storage isolated net system, which is characterized in that the system comprises a module configured to execute the method as set forth in any one of claims 1 to 7.
9. A computer device comprising a memory and a processor, the memory having stored thereon a computer program, the processor being configured to implement the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of claims 1 to 7.

Description

Wind-solar hydrogen storage isolated network system optimal configuration method containing network-structured energy storage Technical Field The invention relates to the field of optimal configuration of isolated network systems, in particular to an optimal configuration method for energy storage containing a network structure and applied to a wind-light hydrogen storage isolated network system. Background Along with the acceleration of global energy transformation, hydrogen energy is becoming an indispensable key ring for building a future energy system by virtue of the clean and efficient secondary energy characteristics. The renewable energy sources such as wind energy, photovoltaic and the like are utilized to electrolyze water to prepare hydrogen, so that the high-efficiency conversion from the renewable energy sources to stable chemical energy can be realized, and the problem of on-site large-scale absorption of the renewable energy sources can be effectively solved. Because of the characteristic of independent operation, the wind-solar hydrogen production isolated network system is mainly widely applied to remote areas which are far away from a main power grid, have difficult power grid infrastructure construction or have extremely high construction cost, such as remote wind-solar resource enrichment areas, industrial parks needing independent energy supply and offshore island scenes. However, such wind-solar hydrogen storage isolated grid systems are dominated by power electronic converters, and compared with conventional power systems, such architectures generally lack the physical moment of inertia and short-circuit capacity support that conventional synchronous generator sets can provide. Therefore, when the system encounters severe disturbance conditions such as sudden drop of power generation output of new energy sources or sudden change of high-power load of a hydrogen production electrolytic tank, the system frequency is extremely easy to fluctuate greatly. To avoid equipment damage or overall system crashes due to frequency instability, existing operational control strategies are often forced to choose to cut off part of the load, even shut down the entire system directly. The passive treatment mode not only can cause a large amount of waste wind and waste light, so that serious electric quantity loss and economic waste are caused, but also high system start-stop cost is brought, and the service life of key equipment in the system is seriously damaged in a long term. At present, according to the related research on capacity configuration of a wind-solar hydrogen storage system, energy storage units configured in most schemes belong to traditional grid-following energy storage. Such a network-following energy storage unit relies on a phase-locked loop to passively track the system frequency in control principle, and cannot provide active inertia support and frequency adjustment capability for the system. This inherent technical characteristic results in the above-described isolated network system still facing a serious risk of frequency instability when subjected to large disturbance impacts. In contrast, the grid-structured energy storage technology can simulate the inertia response characteristic of the synchronous generator through a control algorithm, and actively construct the voltage and frequency reference of the system, so that necessary inertia support and frequency modulation service are effectively provided for the power system taking the converter as the dominant power system. Therefore, the network-structured energy storage technology is applied to planning and configuration of the wind-light hydrogen storage isolated network system, and frequency stability of the isolated network system can be improved. Disclosure of Invention The invention aims to provide an optimal configuration method, system, equipment and medium for a wind-light hydrogen storage isolated network system containing network-structured energy storage, which are used for solving the problems that the wind-light hydrogen storage isolated network system in the background art lacks an inertia support source and is easy to generate frequency instability. The invention provides a solution scheme for considering frequency safety and economy mainly aiming at the defect that the existing wind-solar hydrogen storage isolated network system is mainly composed of power electronic converter interface equipment so as to lack inertia support and further is extremely easy to generate frequency instability when facing power fluctuation. In order to solve the technical problems, the invention adopts the following technical scheme: An optimization configuration method of a wind-light hydrogen storage isolated network system containing network-structured energy storage comprises the following steps: Step one, an equipment model of the wind-light hydrogen storage isolated network system is established, wherein the equipment model