CN111106612B - Energy storage type charging pile participating power grid demand side response combined operation optimization model and solving algorithm - Google Patents
Energy storage type charging pile participating power grid demand side response combined operation optimization model and solving algorithm Download PDFInfo
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Abstract
The invention discloses a method for optimizing participation of an energy storage type charging pile in power grid demand side response joint operation, which is characterized by comprising the steps of initializing, establishing an energy storage type charging pile participation power grid demand side response joint operation optimization model, solving distributed energy joint optimization based on original-dual decomposition and the like. And establishing an energy storage type charging pile participation power grid demand side response combined operation optimization model which comprises an objective function of a maximized benefit function and constraint conditions such as energy storage type charging pile charging and discharging capacity constraint, capacity constraint and demand response electric quantity constraint. The distributed energy joint optimization solution based on the original-dual decomposition comprises the steps of constructing a Lagrangian function, constructing a Lagrangian dual function, applying a KKT condition, updating an iterative operator based on the original-dual decomposition and the like. The method provided by the invention can guide an energy storage type charging pile operator to adjust the power consumption according to the real-time power price change signal, improve the resource efficiency of the power, realize the maximization of social welfare, improve the economy of the energy storage type charging pile and fully exert the advantage of the energy storage type charging pile in the power grid for participating in the response of the demand side.
Description
Technical Field
The invention belongs to the field of operation optimization of charging facilities, and relates to a method for optimizing the operation of an energy storage type charging pile participating in the response joint of the demand side of a power grid by combining with real-time electricity price incentive and comprehensively considering the influence of the performance of an energy storage system on the management compensation of the demand side.
Background
In recent years, electric automobiles in China are rapidly developed. The development of the electric automobile needs to invest in the construction of matched charging infrastructures including charging piles, so that the construction of the charging infrastructures of the electric automobile is greatly promoted, and the development of the electric automobile is an urgent task for accelerating the popularization and the application of the electric automobile. The mobile/distributed energy storage system is installed in the charging pile and the nearby charging pile in a matched mode, impact on a power grid caused by a random charging mode of an electric automobile can be relieved, and the energy storage type charging pile system plays an important role in future charging pile design.
To energy storage system and fill electric pile complex optimization operation problem, the existing research mainly focuses on how to utilize energy storage system to reduce electric automobile charging fluctuation. However, as a large number of electric vehicles are connected to the power grid under the condition of no adjustment and control, peak-to-peak superposition of a load curve of the power distribution network may occur, so that the peak-to-valley difference is further enlarged, the load risk of a line transformer is increased, and the effect and the economy of the research on the charging harmonic suppression on the optimal operation of the energy storage type charging pile and the power grid are not obvious enough.
At present, the cost of an energy storage system is high, and the investment cost of energy storage is difficult to recover in a mode of singly carrying out price arbitrage on a charging and discharging integrated energy storage charging pile. And energy storage formula fills electric pile and participates in power grid demand side response service and both can exert energy storage system power rapid adjustment's advantage, can obtain considerable income again, simultaneously, also can reduce the economic cost to energy storage system through the management of ordered charge-discharge.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the existing problems, the method for optimizing the response joint operation of the energy storage type charging pile participating in the power grid demand side is provided by combining the real-time electricity price incentive and comprehensively considering the influence of the performance of an energy storage system on the management compensation of the demand side.
The invention discloses a method for optimizing the participation of an energy storage type charging pile in power grid demand side response combined operation, which is characterized by comprising the following steps of:
step (1): initialization
Step (2): establishing energy storage type charging pile participation power grid demand side response combined operation optimization model
Step (2-1): the objective function is determined as follows:
represents: the energy storage type charging pile participates in a power grid demand side response joint operation optimization model, and a maximum benefit function is taken as a target.
Step (2-2): determining constraints
And (3): solving energy storage type charging pile participation power grid demand side response joint operation optimization model by adopting distributed energy joint optimization solving algorithm based on original-dual decomposition
Still further, the step (1) includes:
a) leading in energy storage formula fills electric pile parameter: and importing parameters such as energy storage capacity, maximum charge and discharge power, initial charge state and the like.
b) Importing power grid demand side response excitation power price information: and importing relevant excitation factors and electricity price information of the power grid for response excitation at the demand side.
Furthermore, in the step (2-1), in the objective function, the energy storage type charging pile benefit function is composed of weighted corresponding profit of the demand side and economic consumption of the energy storage type charging pile. The energy storage type charging pile operator determines power dispatching of the energy storage type charging pile participating in power grid demand response according to the change of the power price of the power grid operator demand response
Charging and discharging scheduling of energy storage type charging pile
As shown in the following formula:
wherein the content of the first and second substances,
electric quantity for representing participation of energy storage type charging pile i in power grid demand response in t time slot
The gain in the amount of gain that is obtained,
and indicating the electric quantity of the energy storage type charging pile i participating in the response of the power grid demand side in the t time slot.
Representing cost-effectiveness of energy storage systems, mainly by charging/discharging current
And (6) determining.
Under V2G technical condition, electric current can flow between energy storage formula fills electric pile and electric wire netting bidirectionally, and energy storage formula fills electric pile and can purchase the electric quantity from the electric wire netting and be used for real-time electric automobile demand and energy storage system charge-discharge demand, and the electric quantity that electric pile participated in the electric wire netting demand response is filled to the energy storage formula promptly
Real-time charging demand by electric vehicle
Charging and discharging scheduling of energy storage type charging pile
Consists of the following components:
furthermore, the two contents included in the energy storage charging pile benefit function are specifically as follows:
a) energy storage type charging pile participation demand side response benefit
When the energy storage type charging pile participates in the power grid demand side response combined operation, the energy storage type charging pile is adjusted to participate in the power grid demand electric quantity according to the change of the power grid side demand price
And the demand response benefits obtained. According to the response benefit of the energy storage system on the participation demand side, storing energyThe benefit that electric pile participated in the power grid demand side response is filled to the formula generally includes: incentive rewards based on participation demand response power and incentive rewards based on system benefits. The grid operator gives P the two demand response stimulitAnd mutThe unit electric quantity reward, the demand response income that fills electric pile operator and obtain promptly is as follows:
in the formula (I), the compound is shown in the specification,
show and fill electric pile average electric quantity demand in T time, show as:
b) energy storage economical loss of energy storage type charging pile
Considering the dynamic change of the State of charge (Soc) caused by the charging and discharging operations of the energy storage charging pile in the operation process, the Soc dynamic model can be expressed as:
in the formula (I), the compound is shown in the specification,
represents the Soc state of the charging post i at time t of the battery,
the initial Soc state of the battery is shown, the unit of the initial Soc state is battery energy storage capacity (Ah), and T represents the time period of the combined operation of the energy storage system and the charging pile. Different charging/discharging operations of the energy storage system can generate economic expenses of different degrees for the energy storage type charging pile, and the expenses are mainly generated by two charging/discharging behavior indexes, namely, charging/based on whether the charging/based on the charging status is on the basis of the charging status of the energy storage system or notDepth of discharge and charge/discharge frequency. The energy storage economy loss can be expressed as:
in the formula, deltai，αiAnd gammaiAre all that the normal number weight value represents the influence of different charging/discharging behaviors on the economic loss of the battery,
representing the energy storage system maximum capacity.
Still further, the constraint conditions of the step (2-2) include:
a) energy storage type charging pile charge and discharge amount constraint
The constraint condition of the charging and discharging amount of the energy storage type charging pile in any unit time slot represents the electric quantity limit constraint in the charging/discharging process of the charging pile, and is shown as the following formula:
wherein, the first and the second end of the pipe are connected with each other,
the maximum charging/discharging power of the charging pile. The formula represents the charge/discharge amount of any energy storage type charging pile in any time slot
The maximum charge/discharge capacity limit is satisfied and is limited within the rated charge/discharge capacity range.
b) Energy storage type charging pile capacity constraint
Because the energy storage formula fills electric pile has the restriction of certain capacity, energy storage system Soc value is too high or low will influence and fill the normal operation requirement of electric pile, for example, energy storage system Soc deviates from the median seriously, may lead to the energy storage because the electric quantity is too high or too low unable response fills electric pile system's instruction, and Soc is a continuous dynamic model, and its constraint condition can be expressed as:
according to the above formula, the capacity constraint of the energy storage system will charge/discharge the charging pile Ci tCreating an indirect effect.
c) Demand response power constraints
The electric quantity that electric pile participated in the power grid demand response should satisfy the maximum electric quantity restriction at the energy storage formula in arbitrary unit time slot, and its response electric quantity restraint is:
in the formula (I), the compound is shown in the specification,
and the maximum electric quantity limit of the energy storage type charging pile i participating in demand response in the unit time slot t is shown.
Furthermore, in the step (3), a solution algorithm of distributed energy joint optimization based on the original-dual decomposition is adopted to solve the optimization model obtained in the step (2). Through obtaining the operation function of each charging pile energy management, the KKT condition is applied to realize the decomposition of the problem, so that each charging pile can be iteratively updated according to the operation state of the charging pile, and finally, the optimal solution is obtained. The solving algorithm is divided into the following four steps:
a) construction of Lagrangian functions
Constructing a Lagrangian function based on the optimization objective function as shown in the following formula:
where λ, v are lagrange multipliers greater than 0.
b) Constructing a Lagrangian dual function:
on the basis of the Lagrangian function constructed in the previous step, taking the dual form of the Lagrangian function to construct and obtain the Lagrangian dual function, wherein the Lagrangian dual function is shown as the following formula:
according to the dual theorem, g (lambda, v) is less than or equal to P on the feasible fields of lambda and v*And P is the optimal solution of the constraint of the original problem in the constraint limiting condition.
c) Applying KKT conditions
When the feasible domain of solving the original problem is satisfied, the feasible domain of the dual problem is as follows:
λ＞0，v＞0
the complementary relaxation amounts are:
because the optimization problem model is a convex function, the feasible solution is a convex set, and the solution obtained by applying the KKT condition is the solution of the original problem, which is a sufficient necessary condition. Therefore, the problem decomposition method can be applied to obtain the operator of each charging pile needing to be solved and updated.
d) Updating operators based on primitive-dual decomposition
According to the principle of original-dual decomposition, each energy storage charging pile is according to P collectedt、μtAfter the signal, according to self restrictive condition distributed update energy storage formula fill electric pile operation dispatch, the update operator as follows:
in the formula (I), the compound is shown in the specification,
representing the gradient of the function L.
No parameter is coupled between the charging piles in the solving process, so that the splitting and solving can be carried out. The complexity of the algorithm mainly depends on the scale of an applicable scene, is related to the total number N of the charging piles participating in the joint optimization operation, is also related to the iteration number k in the operation process of each algorithm, and is referred to as o (kN).
In conclusion, due to the adoption of the technical scheme, the energy storage type charging pile has the advantages that an energy storage type charging pile operator can be guided to adjust the power consumption according to the real-time power price change signal, the resource efficiency of the power is improved, the social welfare maximization is realized, the economy of the energy storage type charging pile is improved, the advantage of the energy storage type charging pile in participating in the response of a demand side in a power grid is fully exerted, and the healthy development of electric vehicles and energy storage industries is facilitated.
Drawings
Fig. 1 is a flowchart of a method for optimizing the joint operation of energy storage charging piles participating in the response of the demand side of a power grid.
Detailed Description
All of the features disclosed in this specification, or all of the steps of any method or process so disclosed, may be combined in any combination, except combinations of features and/or steps that are mutually exclusive.
Any feature disclosed in this specification may be replaced by alternative features serving an equivalent or similar purpose, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
The energy storage type charging pile participating power grid demand side response combined operation optimization method provided by the invention is described in more detail below with reference to the accompanying drawings.
The invention discloses a method for optimizing the participation of an energy storage type charging pile in power grid demand side response combined operation, which is characterized by comprising the following steps of:
step (1): initialization
Step (2): establishing energy storage type charging pile participation power grid demand side response combined operation optimization model
Step (2-1): the objective function is determined as follows:
represents: the energy storage type charging pile participates in a power grid demand side response joint operation optimization model, and a maximum benefit function is taken as a target.
Step (2-2): determining constraints
And (3): and solving a power storage type charging pile participation power grid demand side response joint operation optimization model by adopting a distributed energy joint optimization solving algorithm based on original-dual decomposition.
Still further, the step (1) includes:
a) importing energy storage type charging pile parameters: and importing parameters such as energy storage capacity, maximum charge and discharge power, initial charge state and the like.
b) Importing power grid demand side response excitation power price information: and importing relevant excitation factors and electricity price information of the power grid for response excitation at the demand side.
Furthermore, in the step (2-1), in the objective function, the energy storage type charging pile benefit function is composed of weighted demand side corresponding income and energy storage type charging pile economic consumption. The energy storage type charging pile operator determines power dispatching of participation of the energy storage type charging pile in power grid demand response according to change of demand response power price of the power grid operator
Charging and discharging scheduling of energy storage type charging pile
As shown in the following formula:
wherein the content of the first and second substances,
electric quantity for representing participation of energy storage type charging pile i in power grid demand response in t time slot
The gain in the amount of gain that is obtained,
and indicating the electric quantity of the energy storage type charging pile i participating in response of the power grid demand side in the t time slot.
Representing cost-effectiveness of energy storage systems, mainly by charging/discharging current
And (6) determining.
Under V2G technical condition, electric current can flow between energy storage formula fills electric pile and electric wire netting bidirectionally, and energy storage formula fills electric pile and can purchase the electric quantity from the electric wire netting and be used for real-time electric automobile demand and energy storage system charge-discharge demand, and the electric quantity that electric pile participated in the electric wire netting demand response is filled to the energy storage formula promptly
Real-time charging demand by electric vehicle
Charging and discharging scheduling of energy storage type charging pile
Consists of the following components:
furthermore, the two contents included in the energy storage type charging pile benefit function are specifically as follows:
a) energy storage type charging pile participation demand side response benefit
When the energy storage type charging pile participates in power grid demand side response combined operation, the energy storage type charging pile is adjusted to participate in power grid demand electric quantity according to the change of power grid side demand price
And the demand response benefits obtained. According to the benefit that energy storage system responded in participating in demand side, the benefit that energy storage formula fills electric pile and participates in electric wire netting demand side response generally includes: incentive rewards based on participation demand response power and incentive rewards based on system benefits. The grid operator gives P the two demand response stimulitAnd mutThe unit electric quantity of reward, the demand response income that fills electric pile operator and obtain promptly is as follows:
in the formula (I), the compound is shown in the specification,
show and fill electric pile average electric quantity demand in T time, show as:
b) energy storage economical loss of energy storage type charging pile
Considering the dynamic change of the State of charge (Soc) caused by the charging and discharging operations of the energy storage charging pile in the operation process, the Soc dynamic model can be expressed as:
in the formula (I), the compound is shown in the specification,
represents the Soc state of the charging post i at time t of the battery,
the initial Soc state of the battery is shown, the unit of the initial Soc state is battery energy storage capacity (Ah), and T represents the time period of the combined operation of the energy storage system and the charging pile. Different charging/discharging operations of the energy storage system can generate economic expenses of different degrees for the energy storage type charging pile, and the expenses are mainly generated by two charging/discharging behavior indexes, namely charging/discharging depth and charging/discharging frequency. The energy storage economy loss can be expressed as:
in the formula, deltai，αiAnd gammaiAre all that the normal number weight value represents the influence of different charging/discharging behaviors on the economic loss of the battery,
representing the energy storage system maximum capacity.
Further, the constraints of the step (2-2) include:
a) energy storage type charging pile charge and discharge amount constraint
The constraint condition of the charging and discharging amount of the energy storage type charging pile in any unit time slot represents the electric quantity limit constraint in the charging/discharging process of the charging pile, and is shown as the following formula:
wherein the content of the first and second substances,
the maximum charging/discharging power of the charging pile. The above formula shows the charge/discharge amount of any energy storage type charging pile in any time slot
The maximum charge/discharge capacity limit is satisfied and is limited within the rated charge/discharge capacity range.
b) Energy storage type charging pile capacity constraint
Because the energy storage formula fills electric pile has the restriction of certain capacity, energy storage system Soc value is too high or low will influence and fill the normal operation requirement of electric pile, for example, energy storage system Soc deviates from the median seriously, may lead to the energy storage because the electric quantity is too high or too low unable response fills electric pile system's instruction, and Soc is a continuous dynamic model, and its constraint condition can be expressed as:
according to the above formula, the capacity constraint of the energy storage system will charge/discharge the charging pile Ci tCreating an indirect effect.
c) Demand response power constraints
The electric quantity that electric pile participated in the power grid demand response should satisfy the maximum electric quantity restriction at the energy storage formula in arbitrary unit time slot, and its response electric quantity restraint is:
in the formula (I), the compound is shown in the specification,
and the maximum electric quantity limit of the energy storage type charging pile i participating in demand response in the unit time slot t is shown.
Furthermore, in the step (3), a solution algorithm of distributed energy joint optimization based on primitive-dual decomposition is adopted to solve the optimization model obtained in the step (2). Through obtaining the operation function of each charging pile energy management, the KKT condition is applied to realize the decomposition of the problem, so that each charging pile can be iteratively updated according to the operation state of the charging pile, and finally, the optimal solution is obtained. The solving algorithm is divided into the following four steps:
a) construction of Lagrangian functions
Constructing a Lagrangian function based on the optimization objective function as shown in the following formula:
where λ, v are lagrange multipliers greater than 0.
b) Constructing a Lagrangian dual function:
on the basis of the Lagrangian function constructed in the previous step, taking the dual form of the Lagrangian function to construct and obtain the Lagrangian dual function, wherein the Lagrangian dual function is shown as the following formula:
according to the dual theorem, g (lambda, v) is less than or equal to P on the feasible fields of lambda and v*P is the optimal solution of the original problem constrained within the constraint constraints.
c) Applying KKT conditions
When the feasible domain of solving the original problem is satisfied, the feasible domain of the dual problem is as follows:
λ＞0，v＞0
the complementary relaxation amounts are:
because the optimization problem model is a convex function, the feasible solution is a convex set, and the solution obtained by applying the KKT condition is the solution of the original problem, which is a sufficient necessary condition. Therefore, the problem decomposition method can be applied to obtain the operator of each charging pile needing to be solved and updated.
d) Updating operators based on primitive-dual decomposition
According to the principle of original-dual decomposition, each energy storage charging pile is according to P collectedt、μtAfter the signal, the operation scheduling of the energy storage type charging pile is updated in a distributed mode according to the self limiting condition, and the updating operator is as follows:
in the formula (I), the compound is shown in the specification,
representing the gradient of the function L.
No parameter is coupled between the charging piles in the solving process, so that the splitting and solving can be carried out. The complexity of the algorithm mainly depends on the scale of an applicable scene, is related to the total number N of the charging piles participating in the joint optimization operation, is also related to the iteration number k in the operation process of each algorithm, and is referred to as o (kN).
The invention is not limited to the foregoing embodiments. The invention extends to any novel feature or any novel combination of features disclosed in this specification, and to any novel method or process steps or any novel combination of steps disclosed.
Claims (4)
1. A method for optimizing the joint operation of energy storage type charging piles participating in power grid demand side response is characterized by comprising the following steps:
step (1): initialization
The step (1) comprises the following steps:
a) importing parameters of the energy storage type charging pile, including importing energy storage capacity, maximum charging and discharging power and an initial charge state;
b) importing power grid demand side response excitation power price information: importing relevant excitation factors and electricity price information of a power grid for response excitation at a demand side;
step (2): establishing energy storage type charging pile participation power grid demand side response combined operation optimization model
Step (2-1): the objective function is determined as follows:
represents: the energy storage type charging pile participates in a power grid demand side response joint operation optimization model, and a maximum benefit function is taken as a target; qi tAnd C, representing the electric quantity of the energy storage type charging pile i participating in response of the power grid demand side in the t time sloti tThe charging/discharging amount of any energy storage type charging pile in any time slot is represented;
step (2-2): determining constraints
And (3): and solving a power storage type charging pile participation power grid demand side response joint operation optimization model by adopting a distributed energy joint optimization solving algorithm based on original-dual decomposition.
2. The method for optimizing the response joint operation of the energy storage type charging pile participating in the power grid on the demand side according to claim 1, characterized by comprising the following steps: the algorithm is used for realizing the decomposition of the problem by solving the operation function of energy management of each charging pile and then applying the KKT condition, so that each charging pile can be iteratively updated according to the operation state of the charging pile, and finally the optimal solution is obtained, and the algorithm comprises the following steps:
a) construction of Lagrangian functions
Constructing a Lagrangian function based on the optimization objective function as shown in the following formula:
wherein λ, v are lagrange multipliers greater than 0;
b) constructing a Lagrangian dual function:
on the basis of the Lagrangian function constructed in the previous step, taking the dual form of the Lagrangian function to construct and obtain the Lagrangian dual function, wherein the Lagrangian dual function is shown as the following formula:
according to the dual theorem, g (lambda, v) is less than or equal to P on the feasible fields of lambda and v*P is the optimal solution of the original problem constrained within constraint limiting conditions;
c) applying KKT conditions
When the feasible domain of solving the original problem is satisfied, the feasible domain of the dual problem is as follows:
λ＞0，v＞0
the complementary relaxation amounts are:
because the optimization problem model is a convex function, the feasible solution is a convex set, the solution obtained by applying the KKT condition is the solution of the original problem and is a sufficient necessary condition, the operator required to be updated by each charging pile can be obtained by applying a problem decomposition method;
d) updating operators based on primitive-dual decomposition
According to the principle of original-dual decomposition, each energy storage charging pile is according to P collectedt、μtAfter the signal, the energy storage type charging is updated in a distributed way according to the self limiting conditionAnd (3) electric pile operation scheduling, wherein an update operator is as follows:
in the formula (I), the compound is shown in the specification,
represents the gradient of the function L;
in the solving process, parameters are not coupled among the charging piles, so that the splitting solving can be carried out; the complexity of the algorithm mainly depends on the scale of an applicable scene, is related to the total number N of the charging piles participating in the joint optimization operation, is also related to the iteration times k in each algorithm operation process, and is referred to as o (kN);
Coi t(Ci t) Represents an economic cost of the energy storage system; qi tRepresenting the electric quantity of the energy storage type charging pile i participating in response of the power grid demand side in a t time slot; ci tThe charging/discharging amount of any energy storage type charging pile in any time slot is represented; drt t(Qi t) Representing energy storage type charging pile i participating in power grid demand response electric quantity Q in t time sloti tThe gain obtained; ci t,maxThe maximum charging/discharging power of the charging pile; qi t,maxRepresenting the maximum electric quantity limit of the energy storage type charging pile i participating in demand response in the unit time slot t; and T represents the time period of the combined operation of the energy storage system and the charging pile.
3. The method of claim 1The energy storage type charging pile participation power grid demand side response combined operation optimization method is characterized by comprising the following steps: in the step (2-1), in the objective function, the energy storage type charging pile benefit function is composed of weighted demand side corresponding income and energy storage type charging pile economic consumption; the energy storage type charging pile operator determines the power dispatching Q of the energy storage type charging pile participating in power grid demand response according to the change of the demand response power price of the power grid operatori tCharging and discharging scheduling C for energy storage type charging pilei tAs shown in the following formula:
wherein, Drt t(Qi t) Representing energy storage type charging pile i participating in power grid demand response electric quantity Q in t time sloti tGain obtained, Qi tRepresenting the electric quantity of the energy storage type charging pile i participating in response of the power grid demand side in a t time slot; coi t(Ci t) Shows the economic cost of the energy storage system, and mainly comprises the charge/discharge capacity C of any energy storage type charging pile in any time sloti tDetermining;
under V2G technical condition, electric current can flow between energy storage formula fills electric pile and electric wire netting bidirectionally, and energy storage formula fills electric pile and can purchase the electric quantity from the electric wire netting and be used for real-time electric automobile demand and energy storage system charge-discharge demand, and the electric quantity Q that electric pile participated in the electric wire netting demand response is filled to the energy storage formula promptlyi tReal-time charging demand D of electric vehiclei tCharging and discharging scheduling C for energy storage type charging pilei tConsists of the following components:
furthermore, the two contents included in the energy storage charging pile benefit function are specifically as follows:
a) energy storage type charging pile participation demand side response benefit
When the energy storage type charging pile participates in the power grid demand side response combined operation, the energy storage type charging pile is adjusted to participate in the power grid demand electric quantity Q according to the change of the power grid side demand pricei tAnd the obtained demand response benefit; according to the benefit that energy storage system responded in participating in demand side, the benefit that energy storage formula fills electric pile and participates in electric wire netting demand side response generally includes: incentive rewards based on participation demand response power and incentive rewards based on system benefits; the electric network operator gives P two demand response stimulitAnd mutThe unit electric quantity reward, the demand response income that fills electric pile operator and obtain promptly is as follows:
in the formula (I), the compound is shown in the specification,
show and fill electric pile average electric quantity demand in the T time, show and be:
b) energy storage economical loss of energy storage type charging pile
Considering the dynamic change of the State of charge (Soc) caused by the charging and discharging operations of the energy storage charging pile in the operation process, the Soc dynamic model can be expressed as:
in the formula, Soci tRepresents the Soc state of the charging pile i at time t of the batteryi t0The initial Soc state of the battery is represented, the unit of the initial Soc state is the energy storage capacity (Ah) of the battery, and T represents the time period of the combined operation of the energy storage system and the charging pile; due to energy storageDifferent charging/discharging operations of the system can generate economic expenses of different degrees for the energy storage type charging pile, and the expenses are mainly generated by two charging/discharging behavior indexes, namely charging/discharging depth and charging/discharging frequency; the energy storage economy loss can be expressed as:
in the formula, deltai，αiAnd gammaiAll represent the influence of different charging/discharging behaviors on the economic loss of the battery by a normal number weight value, Soci maxRepresenting the maximum capacity of the energy storage system.
4. The method for optimizing the joint operation of the energy storage type charging pile participating in the response of the power grid demand side according to claim 1, wherein the method comprises the following steps: the constraint conditions of the step (2-2) comprise:
a) energy storage type charging pile charge and discharge amount constraint
The constraint condition of the charging and discharging amount of the energy storage type charging pile in any unit time slot represents the electric quantity limit constraint in the charging/discharging process of the charging pile, and is shown as the following formula:
wherein, Ci t,maxThe maximum charging/discharging power of the charging pile; the formula represents the charge/discharge capacity C of any energy storage type charging pile in any time sloti tThe maximum charge/discharge capacity limit is met and limited in the rated charge/discharge capacity range;
b) energy storage type charging pile capacity constraint
Because the energy storage formula fills electric pile has the restriction of certain capacity, energy storage system Soc value is too high or low will influence and fill the normal operation requirement of electric pile, for example, energy storage system Soc deviates from the median seriously, may lead to the energy storage because the electric quantity is too high or too low unable response fills electric pile system's instruction, and Soc is a continuous dynamic model, and its constraint condition can be expressed as:
according to the above formula, the capacity constraint of the energy storage system will charge/discharge C to/from the charging pilei tGenerating indirect influence; soci maxRepresenting the maximum capacity of the energy storage system;
c) demand response power constraints
The electric quantity that electric pile participated in the power grid demand response should satisfy the maximum electric quantity restriction at the energy storage formula in arbitrary unit time slot, and its response electric quantity restraint is:
in the formula, Qi t,maxRepresenting the maximum electric quantity limit of the energy storage type charging pile i participating in demand response in the unit time slot t;
furthermore, in the step (3), a solution algorithm of distributed energy joint optimization based on the original-dual decomposition is adopted to solve the optimization model obtained in the step (2).
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