CN114825378A - Double-layer AGC frequency modulation control method considering operating economic cost and energy storage SOC consistency - Google Patents

Double-layer AGC frequency modulation control method considering operating economic cost and energy storage SOC consistency Download PDF

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CN114825378A
CN114825378A CN202210503486.5A CN202210503486A CN114825378A CN 114825378 A CN114825378 A CN 114825378A CN 202210503486 A CN202210503486 A CN 202210503486A CN 114825378 A CN114825378 A CN 114825378A
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energy storage
frequency modulation
soc
storage battery
control method
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郑建勇
郭梦蕾
梅飞
沙浩源
高昂
李轩
解洋
郑茜匀
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Southeast University
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously

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Abstract

The invention discloses a double-layer AGC frequency modulation control method considering operating economic cost and energy storage SOC consistency, which comprises the steps of (1) constructing a frequency modulation operating cost function of a thermal power generating unit; (2) constructing an energy storage frequency modulation operation cost function; (3) formulating a secondary frequency modulation control method of a regional control level; (4) formulating an energy storage unit SOC consistency control method of an energy storage station level; (5) formulating an energy storage battery SOC management scheme; (6) constructing a frequency modulation performance evaluation index; (7) and constructing a set frequency modulation dynamic model containing an energy storage battery. The control method provided by the invention considers the influence of different disturbance working conditions on the fire storage AGC frequency modulation responsibility distribution mode, fully exerts the frequency modulation characteristic of rapid and flexible response of energy storage, optimizes the frequency modulation operation cost, improves the frequency modulation performance, increases the frequency modulation compensation benefit, and effectively improves the service life of the energy storage and the comprehensive operation efficiency of the system.

Description

Double-layer AGC frequency modulation control method considering operating economic cost and energy storage SOC consistency
Technical Field
The invention relates to an energy storage frequency modulation control method, in particular to a double-layer AGC frequency modulation control method considering operation economic cost and energy storage SOC consistency.
Background
With the increasing of the power generation scale of new energy, the problems of intermittent power generation, fluctuation and even inverse regulation are increasingly obvious, and an effective technical scheme is urgently needed to solve the problem of power grid frequency modulation caused by large-scale grid connection of new energy. The conventional thermal power generating unit is large in scale generally, the frequency modulation response speed is low, energy waste is caused when the thermal power generating unit is started and stopped frequently, the damage to the thermal power generating unit is large, and the frequency modulation function of the thermal power generating unit is difficult to fully play due to the multiplicity of tasks. The conventional unit is provided with the energy storage system in a certain proportion, the quick and flexible adjustment characteristics of the energy storage system are fully exerted, the frequency modulation performance of the unit can be greatly improved, the unit loss is reduced, and the frequency modulation capability of a power grid is improved. At present, research on a fire storage combined frequency modulation control method becomes a hotspot of research in the field.
In the research of the fire storage combined frequency modulation control strategy, scholars such as X.Xie introduce a full power compensation control strategy adopted in the Beijing stone mountain energy storage project, namely, an energy storage system automatically compensates the difference between the actual output of a unit and an AGC command. However, the strategy of full power compensation lacks effective management of the electric quantity of the energy storage battery, which is easy to cause that the energy storage system cannot continuously participate in frequency modulation for a long time, and is not beneficial to the improvement of the frequency modulation effect. Meanwhile, the replacement period of the energy storage system can be shortened, and the cost of the power plant is improved. The ChenLIJIAN and other scholars propose a control method aiming at improving AGC (automatic gain control) adjustment precision and shortening AGC response time, and design a State of charge (SOC) out-of-limit regression strategy of an energy storage battery. However, the SOC management method belongs to post management, energy storage output is not adjusted according to the SOC in the process that energy storage participates in normal frequency modulation, and the adjustment effect on the energy storage SOC is limited. The scholars of the veronica spring and the like propose that an Area Control Error (ACE) signal is decomposed into low-frequency and high-frequency components in a filtering mode, the low-frequency component is distributed to a unit, and the high-frequency component is distributed to an energy storage system. Although the method considers the characteristic of rapid and flexible adjustment of energy storage, the utilization of the filter to decompose the signal can cause inaccurate frequency modulation instruction allocation due to the influences of signal amplitude attenuation, phase shift, distortion and the like after filtering, and is not beneficial to the improvement of the frequency modulation effect. Scholars such as MANOJ DATTA propose a control method for proportional distribution of ACE signals among electric vehicles, photovoltaic power generation systems and energy storage systems, although the static proportional distribution method is simple and easy to operate, the difference of frequency modulation output characteristics of different power supplies is not fully considered, the influence of different load disturbance working conditions on frequency modulation instruction distribution is neglected, and meanwhile, the effective management of energy storage SOC is lacked. In addition, in the existing research, the energy storage system is regarded as a single individual to participate in frequency modulation, and the research on the coordination control of each energy storage unit in the energy storage power station is less, and the difference (such as SOC difference) existing among the energy storage units in the frequency modulation process can reduce the frequency modulation efficiency, which is not favorable for the safe and stable operation of the system.
Disclosure of Invention
The purpose of the invention is as follows: according to the current situation and the deficiency of the energy storage auxiliary unit combined frequency modulation control research, the influence of different disturbance working conditions on the fire storage AGC frequency modulation responsibility distribution mode is considered, and the double-layer AGC frequency modulation control method considering the operation economic cost and the energy storage SOC consistency is provided based on the aims of fully exerting the frequency modulation characteristic of rapid and flexible energy storage response, optimizing the frequency modulation operation cost, improving the frequency modulation performance, effectively inhibiting the energy storage SOC fluctuation, prolonging the service life of an energy storage battery, improving the comprehensive operation efficiency of a system and the like.
The technical scheme is as follows: a double-layer AGC frequency modulation control method considering operation economic cost and energy storage SOC consistency comprises the following steps:
(1) constructing a frequency modulation operation cost function of the thermal power generating unit;
(2) constructing an energy storage frequency modulation operation cost function;
(3) constructing a combined frequency modulation operation cost function of the energy storage unit based on the step (1) and the step (2), taking minimization of the combined frequency modulation operation cost function of the energy storage unit as an optimization target, fully considering the multi-technical characteristics of different frequency modulation power supplies, and formulating a secondary frequency modulation control method of a regional control level;
(4) performing real-time frequency modulation responsibility dynamic optimization allocation between the thermal power generating unit and the energy storage system by the upper-layer control center according to AGC frequency modulation requirements and corresponding control strategies, and formulating an energy storage unit SOC consistency control method of the energy storage station hierarchy after the lower-layer energy storage station receives the AGC frequency modulation instructions allocated based on the step (3);
(5) formulating an energy storage battery SOC management scheme;
(6) constructing a frequency modulation performance evaluation index;
(7) and constructing a set frequency modulation dynamic model containing an energy storage battery.
As a further scheme of the invention, the frequency modulation operation cost of the thermoelectric generator set in the step (1) comprises coal consumption cost, environmental cost and abrasion cost.
As a further scheme of the invention, the energy storage frequency modulation operation cost in the step (2) comprises operation and maintenance cost and aging cost.
As a further aspect of the present invention, the step (3) specifically includes the following steps:
(31) establishing a dynamic wear coefficient based on a power change rate;
(32) establishing an AGC frequency modulation control objective function;
(33) and establishing an AGC frequency modulation control constraint condition.
As a further aspect of the present invention, the AGC frequency modulation control constraint includes two dimensions, i.e., a frequency modulation requirement and a frequency modulation.
As a further aspect of the present invention, the step (4) specifically includes the following steps:
(41) establishing an energy storage battery unit dynamic model;
(42) and formulating an energy storage system cooperative control algorithm based on the consistency of the leader-follower multi-agent.
As a further aspect of the present invention, the energy storage battery SOC management scheme of step (5) includes: the SOC of the energy storage battery is subjected to fine adjustment management under the working condition that the load disturbance changes slowly and in the frequency modulation idle state of the energy storage battery, the SOC of the energy storage battery is gradually restored to a reference value through reasonable charging and discharging of the energy storage battery, and the energy storage battery can be put into next frequency modulation operation in a better state in dynamic frequency modulation service.
As a further scheme of the present invention, the SOC management is implemented as follows:
firstly, judging whether rough adjustment management of the energy storage SOC is needed, namely whether the SOC of the energy storage battery is in a deep charging/deep discharging range, wherein the upper and lower limit thresholds of the SOC of the energy storage battery are respectively 80% and 20%, if the SOC of the energy storage battery is in a range exceeding the upper and lower limit thresholds, suspending frequency modulation service of the energy storage battery, preferentially performing rough adjustment management of the energy storage SOC, and performing constant-power charging/discharging on the energy storage battery; until the energy storage SOC returns to a normal range, setting the range value to be 40% -60%;
if the energy storage SOC is in the normal range, judging whether the energy storage battery SOC can be subjected to fine adjustment management, namely whether the frequency modulation instruction change rate and the acceleration are low or not are reached and the output of the thermal power generating unit basically meets the condition of the instruction requirement, namely the energy storage battery frequency modulation idle state, if the condition is met, entering an energy storage SOC fine adjustment management stage, and in the energy storage SOC fine adjustment management stage, if the energy storage SOC is not in the set range and the set range is 49% -51%, carrying out constant-power charging/discharging on the energy storage battery until the energy storage SOC returns to the reference range, wherein the set range is 49.9% -50.1%; the energy storage SOC fine adjustment management priority is the lowest, namely, as long as the frequency modulation instruction and the thermal power unit output do not meet the requirement for entering the SOC fine adjustment management or the energy storage needs to participate in a new frequency modulation instruction, the energy storage SOC fine adjustment management is suspended, and the frequency modulation service is responded preferentially.
As a further scheme of the invention, the evaluation indexes of the step (6) comprise a performance evaluation index under step load disturbance, a performance evaluation index under continuous load disturbance and a frequency modulation compensation profit economic index.
As a further aspect of the present invention, the step (7) specifically includes:
(71) constructing an energy storage battery simulation model;
(72) building regional power grid frequency modulation dynamic model equipped with energy storage
Has the advantages that: compared with the prior art, the method considers the influence of different disturbance working conditions on the distribution mode of the fire storage AGC frequency modulation responsibility, introduces the dynamic wear coefficient based on the power change rate in the unit frequency modulation operation cost, and can fully play the frequency modulation characteristic of rapid and flexible response of energy storage;
the energy storage SOC is dynamically controlled in the energy storage frequency modulation process, SOC fluctuation can be effectively inhibited, and SOC fine adjustment is carried out by fully utilizing an energy storage idle state, so that the SOC can be adaptively recovered to a reference value;
the frequency modulation operation cost is optimized, the frequency modulation performance is improved, meanwhile, the SOC difference among the energy storage units is adjusted in real time, the service life of the energy storage battery is effectively prolonged, the comprehensive operation efficiency of the system is effectively improved, and the application value and the prospect are huge.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a flow chart of energy storage battery SOC control;
FIG. 3 is a diagram of a model of an energy storage cell considering state of charge;
FIG. 4 is a regional power grid frequency modulation dynamic model based on ARR signals;
FIG. 5 is a frequency deviation response curve;
FIG. 6 is a SOC variation curve of an energy storage battery;
FIG. 7 is an active power output change curve;
fig. 8 is an active output variation curve of the energy storage battery pack;
FIG. 9 is a dynamic load disturbance curve;
FIG. 10 is a frequency deviation response curve;
FIG. 11 is a SOC variation curve of an energy storage battery;
fig. 12 is an active power output change curve;
FIG. 13 is a frequency modulated operating cost variation curve;
fig. 14 is a SOC variation curve in the case of no state of charge management.
Detailed Description
The technical scheme of the invention is further explained by combining the drawings and the specific embodiments.
As shown in fig. 1, a double-layer AGC frequency modulation control method considering operation economic cost and energy storage SOC consistency includes the following steps:
(1) constructing a frequency modulation operation cost function of the thermal power generating unit;
(2) constructing an energy storage frequency modulation operation cost function;
(3) constructing a combined frequency modulation operation cost function of the energy storage unit based on the step (1) and the step (2), taking minimization of the combined frequency modulation operation cost function of the energy storage unit as an optimization target, fully considering the multi-technical characteristics of different frequency modulation power supplies, and formulating a secondary frequency modulation control method of a regional control level;
(4) performing real-time frequency modulation responsibility dynamic optimization allocation between the thermal power generating unit and the energy storage system by the upper-layer control center according to AGC frequency modulation requirements and corresponding control strategies, and after receiving the AGC frequency modulation instructions allocated based on the step (3), setting an energy storage unit SOC consistency control method of the energy storage station level in order to meet the requirement that the output of each group of energy storage units in the energy storage station quickly tracks the target power and ensure the consistency of the SOC of each group of energy storage units, effectively prolonging the service life of the energy storage battery and improving the comprehensive operation efficiency of the system;
(5) in order to realize that the energy storage battery can continuously participate in AGC frequency modulation service, inhibit deep charging and deep discharging of each battery unit, prolong the service life of the energy storage battery, improve the frequency modulation reliability, and make an energy storage battery SOC management scheme;
(6) in order to quantitatively evaluate the advantages and disadvantages of the frequency modulation performance, the frequency modulation effect, the energy storage SOC management condition and the frequency modulation compensation profit and disadvantages condition can be more intuitively reflected, and a frequency modulation performance evaluation index is constructed;
(7) and constructing a set frequency modulation dynamic model containing an energy storage battery.
Specifically, the step (1) includes:
(11) coal consumption cost. The coal consumption cost of the thermal power generating unit generated by frequency modulation output is as follows:
Figure BDA0003635120530000051
in the formula, C U 1,k Representing the frequency modulation coal consumption cost of the thermal power generating unit at the moment k; a is 1,i 、b 1,i Respectively representing consumption coefficients of the ith thermal power generating unit; p U,i,k And representing the frequency modulation output value of the ith thermal power generating unit at the moment k.
(12) Environmental cost. The thermal power generating unit can generate the emission of greenhouse gas when participating in frequency modulation, thereby bringing the environmental cost of processing power generation blowdown, and its computational formula is as follows:
Figure BDA0003635120530000052
in the formula, C U 2,k Representing the frequency modulation environment cost of the thermal power generating unit at the moment k; c. C NOx The unit pollution discharge cost of nitrogen oxides is expressed; c. C SO2 The unit pollution discharge cost of sulfur dioxide is expressed; c. C CO2 The carbon dioxide unit pollution discharge cost is expressed; Δ t represents the sampling interval time.
(13) The cost of wear. The thermal power generating unit is abraded due to climbing transformation output and the like during frequency modulation, and an abrasion cost calculation formula brought by the method is established as follows:
Figure BDA0003635120530000053
in the formula, C U 3,k Representing the frequency modulation abrasion cost of the thermal power generating unit at the k moment; m is i,k And expressing the frequency modulation wear coefficient of the ith thermal power generating unit at the moment k.
The step (2) comprises the following steps:
(21) and (5) operation and maintenance cost. The operation and maintenance cost of the energy storage system mainly refers to the cost caused by the operation of system equipment, including staff wages, equipment overhaul expenses, the operation cost of related equipment and the like. The operation and maintenance cost calculation formula of the energy storage system is as follows:
Figure BDA0003635120530000054
in the formula, C B 1,k The frequency modulation operation and maintenance cost of the energy storage system at the moment k is represented; c. C m,j The unit capacity operation and maintenance cost of the jth energy storage battery is represented; p B,j,k And representing the frequency modulation output value of the j-th energy storage unit k.
(22) The cost of aging. The deep charging and the deep discharging of the energy storage battery can accelerate the abrasion and the aging of the battery, and an aging cost calculation formula generated when the energy storage battery participates in frequency modulation is established as follows:
Figure BDA0003635120530000055
in the formula, C B 2,k Representing the frequency modulation aging cost of the energy storage system at the k moment; c. C n,j Representing the aging coefficient of the jth energy storage battery; SOC j,k Representing the state of charge of the jth energy storage battery at the moment k; SOC ref Representing a reference state of charge of the energy storage system.
Further, the step (3) specifically includes the following steps:
(31) a dynamic wear coefficient based on the rate of change of power is established. Because the frequency modulation abrasion cost of the thermal power generating unit mainly comes from the climbing transformation output of the unit, the abrasion cost caused by the fact that the output is changed more quickly is higher. Therefore, in order to effectively describe the frequency modulation wear cost of the thermal power generating unit, the dynamic wear coefficient is established based on the power change rate of the frequency modulation output of the thermal power generating unit as follows:
m i,k ＝m i,0 +α·v k (6)
in the formula, m i,0 A reference value of the wear coefficient; v. of k The change rate of the frequency modulation power of the thermal power generating unit at the moment k is obtained; alpha is the coefficient of influence factor.
The calculation expression of the frequency modulation power change rate of the thermal power generating unit at the moment k is as follows:
Figure BDA0003635120530000061
in the formula, P U,i,k And outputting a force value for the frequency modulation of the ith thermal power generating unit at the moment k.
(32) And establishing an AGC frequency modulation control objective function. The essence of AGC frequency modulation control on the energy storage auxiliary thermal power generating unit is to reasonably distribute frequency modulation responsibility of an AGC command issued by a scheduling center between the thermal power generating unit and an energy storage system. At a regional control level, in order to ensure the economic optimality of realizing frequency modulation power distribution at each adjusting moment, the invention takes the minimization of an energy storage-unit combined frequency modulation operation cost function as an optimization target, fully considers the multi-technical characteristics of different frequency modulation power supplies, and utilizes an improved particle swarm algorithm to carry out real-time solution under the multi-constraint condition, thereby realizing the dynamic optimization distribution of frequency modulation responsibility between the unit and the energy storage.
Establishing an objective function of the frequency modulation control of the control level of the k-time region as follows:
Figure BDA0003635120530000062
in the formula, C U 1,k 、C U 2,k 、C U 3,k Respectively representing the frequency modulation coal consumption cost, the frequency modulation environment cost and the frequency modulation abrasion cost of the thermal power generating unit at the moment k; c B 1,k 、C B 2,k And respectively representing the frequency modulation operation and maintenance cost and the frequency modulation aging cost of the energy storage system at the k moment.
(33) And establishing an AGC frequency modulation control constraint condition. The invention establishes AGC frequency modulation control constraint conditions from two aspects of frequency modulation requirement and frequency modulation capability.
For the 'frequency modulation requirement', in order to better exert the fire and storage frequency modulation characteristics, the frequency modulation instructions of the thermal power generating unit and the energy storage system are set within the respective active power output capacity range, so that the respective output can meet the instruction requirement in real time, therefore, the sum of the frequency modulation active power instructions borne by the thermal power generating unit and the energy storage system is equal to the total AGC instruction at this moment, namely:
P agc,k ＝∑P U,i,k +∑P B,j,k (9)
in the formula, P agc,k And an AGC frequency modulation instruction issued by the scheduling center at the time k.
For the 'frequency modulation capability', the method mainly comprises the climbing rate and the load reserve capacity of the thermal power generating unit, the energy storage charging and discharging power limitation and the charge state variable range, namely:
Figure BDA0003635120530000071
in the formula, v i The climbing rate of the ith thermal power generating unit is set; p i,max 、P i,min The upper limit and the lower limit of the frequency modulation output of the ith thermal power generating unit are set; p u,i,k The actual frequency modulation output of the ith unit at the moment k is obtained; p b,j,k The actual frequency modulation output of the jth energy storage unit at the moment k is obtained; SOC j,k The charge state of the jth energy storage unit at the moment k; p j,max 、P j,min The output upper and lower limits of the jth energy storage unit are set; SOC j,max 、SOC j,min The upper and lower limits of the state of charge of the jth energy storage unit.
Further, in the step (4):
(41) and establishing a dynamic model of the energy storage battery unit. Because the power adjustment inertia time constant of each group of energy storage battery units is small (millisecond level), and the adjustment period of the energy storage system is usually long (several seconds to several minutes) when the energy storage system responds to AGC frequency modulation, the inertia time constant of each battery energy storage unit is considered to be ignored in a large-scale energy storage system dynamic frequency modulation model. Therefore, the relation between the SOC of the energy storage battery unit and the charge and discharge power of the energy storage battery unit is shown as the following formula:
Figure BDA0003635120530000072
in the formula, E B,j Representing the rated capacity of the jth energy storage unit.
In order to simplify the calculation and better apply the multi-agent cooperative control algorithm, a proportionality coefficient lambda is introduced to satisfy the following conditions:
Figure BDA0003635120530000073
in the formula, S B,j,k The value of the charge state of the jth energy storage unit at the moment k is subjected to the proportional transformation.
In a large-scale energy storage system, the second-order dynamic characteristics of each group of energy storage units can be represented by the following formula:
Figure BDA0003635120530000074
in the formula u B,j,k The power step factor of the jth energy storage unit at the moment k.
(42) And formulating an energy storage system cooperative control algorithm based on the consistency of the leader-follower multi-agent. The large-scale energy storage system is composed of a plurality of energy storage battery units with second-order dynamic characteristics and is a multi-agent system, so that the multi-agent system with a second-order leading and following structure is constructed, a consistency cooperative control algorithm is used for realizing the purpose that each group of energy storage battery units track the target value output, and the charge states of each group of energy storage units are kept consistent.
In the second-order leading following structure multi-agent system theory, the knowledge of graph theory and matrix theory is mainly applied. The network structure of the system can be represented by a graph G ═ (V, E), where V ═ {0,1,2, …, n } represents the set of n follower nodes and one leader node (node 0) in the network,
Figure BDA0003635120530000081
representing a collection of edges. By G f ＝(V f ,E f ) To represent the topology between the followers,
Figure BDA0003635120530000082
by abuttingThe matrix A ═ a ij ) To represent the relationship of nodes to edges [11] ：
Figure BDA0003635120530000083
When drawing G f In the case of an undirected graph, A is a symmetric matrix. In undirected graphs, D ═ diag { D ═ D ii Denotes a degree matrix, in which
Figure BDA0003635120530000084
Using Laplace matrix L ═ (L) ij ) To represent another relationship between a node and an edge:
Figure BDA0003635120530000085
i.e., L-D-a.
For a multi-agent system with a second-order leading and following structure, which is composed of leading agents and energy storage battery unit following agents of an energy storage station EMS layer, the dynamic characteristic of a leader can be expressed as follows:
Figure BDA0003635120530000086
in the formula, S B,0,k The value of the energy storage unit to be followed by the state of charge at the moment k is subjected to proportional transformation; p B,0,k Representing the frequency modulation output value to be followed by the energy storage unit k at the moment; p ref B,k Representing the total AGC frequency modulation instruction value distributed to the energy storage system at the moment k; n represents the number of energy storage battery packs.
To realize S B,j,k ＝S B,0,k And P B,j,k ＝P B,0,k The present invention uses the following consistency protocol:
Figure BDA0003635120530000087
in the formula (I), the compound is shown in the specification,N i is a set of neighbors of the node i,
Figure BDA0003635120530000088
representing the relationship of the leader to the follower side, gamma 0 ,γ 1 ∈R。
For a closed-loop multi-agent system, the coherence protocol can be represented in the form of a matrix as follows:
Figure BDA0003635120530000089
in the formula (I), the compound is shown in the specification,
Figure BDA0003635120530000091
d＝[d 1 ,d 2 ,...,d n ] T ，D d ＝diag(d 1 ,d 2 ,...,d n ) L is a drawing G f The laplacian matrix of.
In order to achieve coordination and consistency of the multi-agent energy storage system, the requirement on the communication topology is that at least 1 path exists, so that information transmission of an energy storage station EMS layer can reach any group of energy storage battery units, namely the communication topology is required to be communicated. In addition, the multi-agent cooperative control algorithm must satisfy other convergence conditions, such as gamma 0 ,γ 1 The value requirements are not described herein again.
The step (5) specifically comprises:
(51) in order to realize that the energy storage battery can continuously participate in AGC frequency modulation service, the invention carries out real-time management on the state of charge (SOC) of each battery pack in the energy storage station, inhibits each battery unit from being deeply charged and deeply discharged, controls the SOC of each battery unit to be kept in a range as small as possible near a reference value (set as 50 percent by the invention), prolongs the service life of the energy storage battery and improves the frequency modulation reliability.
In order to reduce the influence of the energy storage battery SOC management on the frequency modulation performance of the fire storage combination AGC as much as possible, the invention selects to perform energy storage battery SOC fine tuning management under the working condition that the load disturbance changes slowly and the energy storage battery is in a frequency modulation idle state. The SOC of the energy storage battery is gradually restored to a reference value by reasonably charging and discharging the energy storage battery, and the energy storage battery can be put into the next frequency modulation operation in a better state in the dynamic frequency modulation service.
The specific implementation strategy of the energy storage battery SOC management is as follows: firstly, judging whether rough adjustment management of the energy storage SOC is needed, namely whether the energy storage battery SOC is in a deep charging/deep discharging range (the upper limit threshold and the lower limit threshold of the energy storage battery SOC are respectively set to be 80% and 20%), if the SOC is in the range exceeding the upper limit threshold and the lower limit threshold, suspending frequency modulation service of the energy storage battery, preferentially performing rough adjustment management of the energy storage SOC, and performing constant-power charging/discharging (the value is set to be 1/2P) on the energy storage battery BN ，P BN Expressed as the energy storage battery rated power) until the energy storage SOC returns to the normal range (40% to 60% in the present invention). And if the energy storage SOC is in the normal range, judging whether the energy storage battery SOC can be subjected to fine adjustment management, namely whether the conditions that the frequency modulation instruction change rate and the acceleration thereof are small (the working condition that the load disturbance change is slow) are met, and the output of the thermal power unit basically meets the instruction requirement (the energy storage battery frequency modulation idle state), and if so, entering an energy storage SOC fine adjustment management stage. In the energy storage SOC fine adjustment management stage, if the energy storage SOC is not in a better range (the invention is set to be 49% -51%), the energy storage battery is charged/discharged with constant power (the value is set to be 1/15 × P) BN ) Until the energy storage SOC returns to the reference range (the present invention is set to 49.9% to 50.1%). The energy storage SOC fine adjustment management priority is the lowest, namely, as long as the frequency modulation instruction and the thermal power unit output do not meet the requirement for entering the SOC fine adjustment management or the energy storage needs to participate in a new frequency modulation instruction, the energy storage SOC fine adjustment management is suspended, and the frequency modulation service is responded preferentially.
In addition, in order to avoid unnecessary output fluctuation caused by the change of the SOC of the energy storage battery and bring adverse effect on the frequency modulation performance, after the SOC of the energy storage battery is subjected to fine adjustment management, the working condition with large load disturbance amplitude and slow change is subjected to locking control, namely, a small offset is introduced on the basis of the original SOC during frequency modulation optimization control, so that the frequency modulation responsibility distribution mode is kept stable, the unnecessary output fluctuation is prevented, and the stability of the frequency modulation performance of a system is ensured.
The real-time management process of the SOC of the energy storage battery is shown in fig. 2.
The step (6) specifically comprises:
(61) and constructing a performance evaluation index under step load disturbance. Referring to the frequency modulation performance indexes in the detail rules for implementing operation management of the grid-connected power plant and the detail rules for implementing auxiliary service management of the grid-connected power plant, in combination with a performance evaluation method in the frequency adjustment process, the invention provides that the frequency modulation performance evaluation indexes under step load disturbance are shown in table 1,
TABLE 1 index of frequency modulation performance under step disturbance
Figure BDA0003635120530000101
v is the AGC regulation rate of the unit; p s 、P e The force is applied to adjust the starting and stopping time group; t is e 、T s Starting and stopping time of a climbing section during AGC adjustment; p bias Adjusting the deviation amount for the average; p A Is the AGC command power; p (t) is the output of the unit in the oscillation period; t is a unit of oc Is the oscillation period duration; t is the response time; t is t b To adjust the starting moment. v. of r Is the frequency recovery rate; d m 、t m The maximum value of the absolute value of the frequency deviation and the corresponding moment are obtained; d s 、t s The steady-state frequency deviation value and the corresponding moment are obtained; sigma 1 Represents the frequency total standard deviation; n is s Numbering sampling points when the steady-state frequency is reached; f. of i Representing the system frequency corresponding to the ith sampling point; f. of N Represents a reference frequency; t is t r Represents a frequency recovery duration; v. of N 、P N,bias 、t N 、t N,r Respectively are the standard values of the corresponding parameters; d N,m 、d N,s 、v N,m 、v N,r 、σ N Respectively, are adjustment multiples for increasing the degree of discrimination of the corresponding index.
According to various refinement indexes in the table 1, a comprehensive regulation performance index K under step disturbance is defined p1 As shown in the following formula. K p1 The larger the performance, the better.
Figure BDA0003635120530000111
In the formula, a 1 、b 1 、c 1 、a 2 、b 2 、c 2 、d 2 、e 2 、f 2 And a and b are weight coefficients.
(62) And constructing a performance evaluation index under continuous load disturbance. In order to more intuitively reflect the frequency modulation effect and the management condition of the energy storage SOC and comprehensively consider the frequency modulation characteristic under continuous load disturbance, 2 items of refinement indexes are introduced, wherein the indexes are shown in table 2, and sigma is 2 、σ 3 Respectively representing the frequency and the SOC total standard deviation; f. of i 、SOC i Respectively representing the system frequency and the energy storage SOC corresponding to the ith sampling point; n is z Numbering the last sampling point; f. of N 、SOC ref The reference values of the frequency and the SOC are respectively indicated.
TABLE 2 frequency-modulation performance index under continuous disturbance
Figure BDA0003635120530000112
According to the refinement indexes in the table 2, the comprehensive regulation performance index K under continuous load disturbance is defined p2 As shown in the following formula. K p2 The larger the performance, the better.
Figure BDA0003635120530000113
Wherein γ and λ are weight coefficients.
(63) And constructing an economic index of frequency modulation compensation income. In order to better reflect the condition of profit and disadvantage of frequency modulation compensation, the invention provides economic indexes of frequency modulation compensation profit as follows by referring to the market trading rule of Jiangsu electric power auxiliary service (frequency modulation):
F J ＝K agc ×Min(K p ,2)×P agc (21)
in the formula, F J Compensating economic indicators for the frequency modulation;K agc 2 yuan/MW for basic compensation criteria; k p Comprehensively adjusting performance indexes; p agc And taking the AGC adjustable capacity as the AGC adjustment upper and lower limit difference value.
The step (7) specifically comprises:
(71) and constructing an energy storage battery simulation model. For each group of energy storage battery units, a simulation model including an energy storage SOC and used for researching energy storage auxiliary frequency modulation is established, as shown in FIG. 3, K T Representing an integrated electric quantity calculation time constant; e B Representing the rated capacity of the energy storage battery unit; s SOC,in An initial value representing the state of charge of the energy storage cell; p B,ref Representing an active output instruction of the energy storage battery unit; p is B Representing the actual active output of the energy storage battery unit; s SOC Is the actual SOC of the energy storage cell.
(72) And constructing a regional power grid frequency modulation dynamic model with energy storage. Constructing a regional power grid frequency modulation dynamic model for thermal power generating units to be equipped with stored energy for joint frequency modulation based on an Area Regulation Requirement (ARR) signal distribution mode, wherein delta f is system frequency deviation as shown in FIG. 4; delta P line Exchanging deviation for the power of the interconnection line of the interconnected power grid; k I Is the integral coefficient of the PI regulator; k k The proportional coefficient of the PI regulator; b is a system frequency deviation coefficient; ACE denotes the amount of zone control deviation; p AGC Representing an AGC frequency modulation output instruction; p ref Gi Representing an AGC instruction of the ith conventional thermal power generating unit; p is ref Bj An AGC command representing a jth energy storage system; p Gi1 The primary frequency modulation output of the ith traditional thermal power generating unit is represented; p Gi The actual active power output of the ith traditional thermal power generating unit is represented; p Bj The actual active power output of the jth energy storage system; p Ld Is the net load disturbance of the system; t is g 、 T t 、T r Respectively representing the time constants of the speed regulator, the generator and the reheating; r represents a unit difference adjustment coefficient; k r Is the reheat coefficient; k p Is the system gain; t is p Is the system time constant.
The Area Control Error (ACE) is calculated as:
ACE＝ΔP line +B·Δf (22)
the invention selects a fixed frequency adjustment mode in a regional power grid frequency modulation dynamic model, namely, the power exchange deviation of the interconnection line of the interconnected power grid is not considered, and the regional control deviation is ACE (angiotensin converting enzyme) ═ B · Δ f.
Examples
Model parameters:
the parameters of a frequency modulation control method and a model are selected as follows in consideration of the technical characteristics, the output characteristics, the frequency modulation characteristics, the economical efficiency and the like of the thermal power generating unit and the energy storage:
TABLE 3 frequency modulation control method and simulation model parameters
Figure BDA0003635120530000121
A simulation model is built by utilizing a Matlab/Simulink platform, and a fire storage combined AGC frequency modulation double-layer control method based on improved PSO is built in a Matlab Function module. The installed capacity of the regional power grid is set to be 1000MW, and the selected reference power is 1000 MW. The initial states of charge of the six groups of energy storage cells were 55%, 50%, 52%, 45%, 48% and 53%, respectively. The variable range of the energy storage SOC is controlled to be 10% -90%, the rated power of each group of energy storage units is +/-5 MW, the rated capacity of each group of energy storage units is 2.5MW & h, the optimal state of charge of the energy storage is 50%, the standby capacity of the thermal power unit is 40MW, and the climbing rate is 3%/min of the rated power. Double-layer AGC frequency modulation control simulation result considering running economic cost and energy storage SOC consistency
Step load disturbance condition
Selecting disturbance conditions as follows: a step load disturbance of 0.02p.u. was added to the system at 500 s. The index-related parameters set forth in table 1 are as follows:
TABLE 4 frequency modulation Performance index parameters under step disturbance
Figure BDA0003635120530000131
Based on a regional power grid frequency modulation dynamic model, the method disclosed by the invention is compared with 2 common methods in engineering and existing research in a simulation mode. The method 1 is a difference compensation method, and the method 2 is a static proportion distribution method (the coefficient ratio of the unit to the stored energy is 7: 3). Because the 2 methods do not relate to the consistency control of the energy storage SOC, the energy storage units are combined to be regarded as the whole energy storage system during simulation, the SOC regulation and control of the internal units are not considered, and the initial SOC value of the energy storage system is set to be 50%. The simulation comparison results are shown in FIGS. 5-8 and Table 5:
TABLE 5 evaluation index value of step load disturbance condition
Figure BDA0003635120530000132
As shown in fig. 5, after a step disturbance at 500s, the frequency deviation is significantly smaller when using the method of the present invention and method 1 than when using method 2. As shown in fig. 7 and 8, the frequency deviation occurring by the method of the present invention in the initial stage (0 to 230s) occurs in the process of adjusting the SOC of each energy storage unit to be uniform, and if the initial SOC of each energy storage unit is uniform, the frequency deviation will not occur.
Fig. 6 reflects the SOC variation of each energy storage unit in the method of the present invention and the comparison results with the methods 1 and 2, and it can be seen that after about 230 seconds, the SOC of each energy storage unit in the method of the present invention tends to be consistent and remains the same as that of the leader battery pack. After a step disturbance occurs at 500s, as shown in fig. 6 and 7, the method of the present invention assumes the most responsibility for frequency modulation in the initial stage of disturbance occurrence, and the energy storage output exits more slowly, so that the energy storage SOC drops most severely during 500s to 600 s. When the energy storage SOC drops below 49%, the method of the invention immediately enters energy storage SOC fine adjustment management, the energy storage battery is charged at constant power, and the SOC is gradually adjusted back during 600 seconds to 1400 seconds until the SOC is recovered to 50.06%. And the other two methods lack effective energy storage SOC management, so that the SOC cannot be automatically recovered to be close to a reference value.
Fig. 8 reflects the active power output change process of the energy storage battery pack, and it can be seen that, in the initial adjustment stage, each energy storage unit is charged/discharged as much as possible, so that the SOC of each energy storage unit tends to be consistent with that of the leader battery pack. And when the SOC of each energy storage unit is consistent, the output force of each energy storage unit is kept the same with that of the leader battery pack, so that the target power is tracked.
As shown in Table 5, under the condition of step load disturbance, most of the refinement index values of the method are the highest, and the comprehensive regulation performance is optimal.
Continuous load disturbance regime
According to data statistics, about 80% of AGC instruction values in actual engineering are within 3% of the total installed capacity, so that the continuous load disturbance mode selected by the method is as follows: the net load fluctuates around 5000s within the range of +/-30 MW, wherein the net load comprises various typical working conditions such as continuous low frequency, continuous high frequency and the like, and a dynamic load disturbance curve is shown in FIG. 9. The relevant parameters of the index are set as follows:
TABLE 6 frequency-modulation performance index parameters under continuous load disturbance
Figure BDA0003635120530000141
Under the disturbance condition, the method of the invention is compared with 2 common methods in engineering and existing research in a simulation mode. The method 1 is a difference compensation method, and the method 2 is a static proportion distribution method (the coefficient ratio of the unit to the stored energy is 7: 3). The simulation comparison results are shown in fig. 10 to 14 and table 7.
TABLE 7 continuous load disturbance condition evaluation index value
Figure BDA0003635120530000142
FIG. 10 shows the frequency deviation response variation of the 3 methods under continuous load disturbance conditions. It can be seen that no matter in the low-frequency or high-frequency continuous load disturbance working condition, the method of the invention can control the frequency deviation in a smaller range, and particularly when in high-frequency load disturbance, the frequency deviation is obviously smaller than that of the other two methods, and the frequency deviation optimization effect is obvious.
As shown in fig. 11, the SOC of each energy storage unit tends to be consistent after about 230 seconds under the method of the present invention, and the tracking of the target output instruction is realized. The method performs energy storage SOC fine adjustment management within 3200-3700 s and 5850-6300 s, so that the SOC of each energy storage unit is gradually adjusted back to the reference value. Compared with other two methods, the method provided by the invention has the advantages that the SOC fluctuation of the energy storage system is obviously smaller, the SOC fluctuation can be automatically recovered to the reference value, the adjustable margin is larger, and the sustainability of the energy storage participating in the frequency modulation auxiliary service can be effectively improved.
As shown in fig. 12, in the method of the present invention, in the high frequency load disturbance stage, the stored energy bears the main frequency modulation responsibility, and in the low frequency and large amplitude load disturbance stage, the unit bears the main AGC frequency modulation command. Compared with other two methods, the method has the advantages that the frequency modulation output of the thermal power generating unit is smoother, the unit abrasion can be reduced, and the system operation reliability is improved.
As shown in fig. 13, the frequency modulation operation cost is the minimum when the method of the present invention is adopted, and the economy is better.
Fig. 14 reflects the SOC variation of each energy storage unit when method 2 (no state of charge management) is employed. It can be seen that under the continuous load disturbance condition, the SOC of each energy storage unit is greatly deviated from the reference value (50%) due to continuous discharge. The SOC of the battery pack 6 is lower than 20% in 6000 seconds or so, the battery pack is in a deep charging and deep discharging state, the service life of the battery is not facilitated, the battery stops discharging and quits frequency modulation if the battery continues to discharge, the risk of frequency secondary falling is caused, and the sustainability and the reliability of energy storage frequency modulation are seriously threatened.
As shown in Table 7, the two refinement index values of the method are the highest, and the comprehensive adjustment performance advantage is remarkable.
Frequency modulated compensated revenue comparison
Under the two disturbance conditions, the economic index value F of the frequency modulation compensation gain of 3 frequency modulation control methods (same as the above) J The following were used:
TABLE 8 economic indicator value of frequency modulation compensation gain
Figure BDA0003635120530000151
As shown in the table above, under the working conditions of step and continuous load disturbance, the economic index value of the frequency modulation compensation income of the method is the highest, and the economic superiority of the method in the aspect of frequency modulation compensation income is reflected.
In summary, the invention provides a double-layer AGC frequency modulation control method considering operating economic cost and consistency of energy storage charge state, aiming at the problem of power grid frequency modulation caused by large-scale new energy grid connection, and considering the influence of different disturbance working conditions on the distribution mode of the fire storage AGC frequency modulation responsibility: 1) a fire storage combined AGC frequency modulation control optimization model is established, the optimization problem is solved through an improved particle swarm algorithm by aiming at the minimum frequency modulation operation cost in a regional control level, and the economic optimized fire storage dynamic frequency modulation responsibility distribution is realized. Dynamic wear coefficients based on power change rate are introduced into the frequency modulation operation cost of the unit, and the frequency modulation characteristic of rapid and flexible response of energy storage is fully exerted. 2) And a consistency cooperative control algorithm is applied at the energy storage station level, so that the tracking target value output of each group of energy storage battery units is realized, and the SOC of each group of energy storage units is ensured to be consistent. The energy storage SOC is dynamically controlled in the energy storage frequency modulation process, the fluctuation of the energy storage SOC is effectively inhibited, the energy storage idle state is fully utilized for SOC fine adjustment, the energy storage idle state can be recovered to a reference value in a self-adaptive mode, the service life of the energy storage is effectively prolonged, and the comprehensive operation efficiency of the system is effectively improved. 3) A power grid frequency modulation dynamic model of a fire storage combined region is built, and a simulation comparison experiment is carried out by utilizing a Matlab/Simulink platform. The result shows that the control strategy provided by the invention can effectively improve the frequency modulation performance, optimize the economic cost of frequency modulation operation and improve the frequency modulation compensation benefit. Meanwhile, the fluctuation of the energy storage SOC is smaller, the frequency modulation output of the unit is smoother, the unit loss can be effectively reduced, and the operation reliability of the system is improved.

Claims (10)

1. The double-layer AGC frequency modulation control method considering the operation economic cost and the consistency of the energy storage SOC is characterized by comprising the following steps of:
(1) constructing a frequency modulation operation cost function of the thermal power generating unit;
(2) constructing an energy storage frequency modulation operation cost function;
(3) constructing a combined frequency modulation operation cost function of the energy storage unit based on the step (1) and the step (2), taking minimization of the combined frequency modulation operation cost function of the energy storage unit as an optimization target, fully considering the multi-technical characteristics of different frequency modulation power supplies, and formulating a secondary frequency modulation control method of a regional control level;
(4) performing real-time frequency modulation responsibility dynamic optimization allocation between the thermal power generating unit and the energy storage system by the upper-layer control center according to AGC frequency modulation requirements and corresponding control strategies, and formulating an energy storage unit SOC consistency control method of the energy storage station hierarchy after the lower-layer energy storage station receives the AGC frequency modulation instructions allocated based on the step (3);
(5) formulating an energy storage battery SOC management scheme;
(6) constructing a frequency modulation performance evaluation index;
(7) and constructing a set frequency modulation dynamic model containing an energy storage battery.
2. The double-layer AGC frequency modulation control method considering running economic cost and energy storage SOC consistency according to claim 1, wherein the frequency modulation running cost of the thermoelectric generation unit in the step (1) comprises coal consumption cost, environmental cost and abrasion cost.
3. The dual-layer AGC frequency modulation control method considering running economic cost and energy storage SOC consistency according to claim 1, wherein the energy storage frequency modulation running cost in step (2) comprises operation and maintenance cost and aging cost.
4. The double-layer AGC frequency modulation control method considering running economic cost and energy storage SOC consistency according to claim 1, characterized in that the step (3) comprises the following steps:
(31) establishing a dynamic wear coefficient based on a power change rate;
(32) establishing an AGC frequency modulation control objective function;
(33) and establishing an AGC frequency modulation control constraint condition.
5. The dual-layer AGC tuning control method considering economic cost of operation and energy storage SOC consistency of claim 4, wherein the AGC tuning control constraints include both tuning requirements and tuning capabilities.
6. The double-layer AGC frequency modulation control method considering running economic cost and energy storage SOC consistency according to claim 1, characterized in that the step (4) comprises the following steps:
(41) establishing an energy storage battery unit dynamic model;
(42) and formulating an energy storage system cooperative control algorithm based on the consistency of the leader-follower multi-agent.
7. The dual-layer AGC frequency modulation control method considering running economic cost and energy storage SOC consistency according to claim 1, wherein the energy storage battery SOC management scheme of step (5) comprises: the SOC of the energy storage battery is subjected to fine adjustment management under the working condition that the load disturbance changes slowly and in the frequency modulation idle state of the energy storage battery, the SOC of the energy storage battery is gradually restored to a reference value through reasonable charging and discharging of the energy storage battery, and the energy storage battery can be put into next frequency modulation operation in a better state in dynamic frequency modulation service.
8. The double-layer AGC frequency modulation control method considering running economic cost and energy storage SOC consistency according to claim 7, characterized in that the SOC management implementation steps are as follows:
firstly, judging whether rough adjustment management of the energy storage SOC is needed, namely whether the SOC of the energy storage battery is in a deep charging/deep discharging range, wherein the upper and lower limit thresholds of the SOC of the energy storage battery are respectively 80% and 20%, if the SOC of the energy storage battery is in a range exceeding the upper and lower limit thresholds, suspending frequency modulation service of the energy storage battery, preferentially performing rough adjustment management of the energy storage SOC, and performing constant-power charging/discharging on the energy storage battery; until the energy storage SOC returns to a normal range, setting the range value to be 40% -60%;
if the energy storage SOC is in the normal range, judging whether the energy storage battery SOC can be subjected to fine adjustment management, namely whether the frequency modulation instruction change rate and the acceleration are low or not are reached and the output of the thermal power generating unit basically meets the condition of the instruction requirement, namely the energy storage battery frequency modulation idle state, if the condition is met, entering an energy storage SOC fine adjustment management stage, and in the energy storage SOC fine adjustment management stage, if the energy storage SOC is not in the set range and the set range is 49% -51%, carrying out constant-power charging/discharging on the energy storage battery until the energy storage SOC returns to the reference range, wherein the set range is 49.9% -50.1%; the energy storage SOC fine adjustment management priority is the lowest, namely, as long as the frequency modulation instruction and the thermal power unit output do not meet the requirement for entering the SOC fine adjustment management or the energy storage needs to participate in a new frequency modulation instruction, the energy storage SOC fine adjustment management is suspended, and the frequency modulation service is responded preferentially.
9. The double-layer AGC frequency modulation control method considering running economic cost and energy storage SOC consistency according to claim 1, wherein the evaluation indexes of the step (6) comprise a performance evaluation index under step load disturbance, a performance evaluation index under continuous load disturbance and a frequency modulation compensation profit economic index.
10. The double-layer AGC frequency modulation control method considering running economic cost and energy storage SOC consistency according to claim 1, wherein the step (7) specifically comprises the following steps:
(71) constructing an energy storage battery simulation model;
(72) and constructing a regional power grid frequency modulation dynamic model with energy storage.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115800276A (en) * 2023-02-09 2023-03-14 四川大学 Power system emergency scheduling method considering unit climbing
CN116581787A (en) * 2023-07-14 2023-08-11 国网山东省电力公司莱芜供电公司 Monitoring and evaluating method and system for energy storage frequency modulation of unit

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115800276A (en) * 2023-02-09 2023-03-14 四川大学 Power system emergency scheduling method considering unit climbing
CN115800276B (en) * 2023-02-09 2023-05-30 四川大学 Power system emergency scheduling method considering climbing of unit
CN116581787A (en) * 2023-07-14 2023-08-11 国网山东省电力公司莱芜供电公司 Monitoring and evaluating method and system for energy storage frequency modulation of unit
CN116581787B (en) * 2023-07-14 2023-09-22 国网山东省电力公司莱芜供电公司 Monitoring and evaluating method and system for energy storage frequency modulation of unit

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