CN-121998687-A - Shared energy storage dynamic pricing method considering new energy prediction deviation and energy storage charge state

CN121998687ACN 121998687 ACN121998687 ACN 121998687ACN-121998687-A

Abstract

A shared energy storage dynamic pricing method considering new energy prediction deviation and energy storage charge state comprises the steps of a, constructing a shared energy storage operator model, b, constructing a new energy station model, c, constructing a dynamic pricing model, and improving market bargaining capacity and income of an energy storage operator by optimizing an electricity price strategy and considering comprehensive influence of the new energy station output deviation and the energy storage charge state, and meanwhile considering benefit appeal of multiple new energy stations, and promoting the strategies of the two parties to achieve Nash equilibrium state.

Inventors

CHEN LAIJUN
CUI SEN
FANG BAOMIN
SU XIAOLING

Assignees

青海大学
清华四川能源互联网研究院
国网青海省电力公司

Dates

Publication Date: 20260508
Application Date: 20251224

Claims (5)

1. A shared energy storage dynamic pricing method taking new energy prediction deviation and energy storage charge state into consideration is characterized by comprising the following steps: a. Shared energy storage operator model construction As a master, the shared energy storage operator prioritizes the shared energy storage electricity prices to maximize the shared energy storage operator revenue as an objective function, the total revenue being derived from the energy storage service fee provided to the terminal Cost of purchasing and selling electricity to power grid Annual investment cost of energy storage Composition, in particular, can be expressed as ; B. new energy station model construction As follower, the new energy station generates self-income Maximizing the total income as an objective function and surfing the Internet by using new energy New energy output deviation punishment Energy storage service fee The composition can be expressed as: ; c. dynamic pricing model construction The shared energy storage operator plays a role of a master, firstly establishes the shared energy storage price, secondly, the new energy station responds to follow, determines the energy transaction amount, and finally, the two parties continuously iterate the energy storage price and the energy transaction amount until balance.
2. The method for dynamically pricing shared stored energy in consideration of new energy forecast bias and stored energy state of charge as recited in claim 1, wherein, in step a, 1) Energy storage service charge benefit The charge and discharge service benefits provided by the shared energy storage power station for the new energy station comprise the electricity purchasing cost and electricity selling benefits of the new energy station from the energy storage place: in the formula, And (3) with The electricity purchasing price of the energy storage operator is shared at the time t; and (3) with New energy station for t moment Purchase/sell electric power to the shared energy storage power station; 2) Electric network electricity purchasing and selling cost The shared energy storage operator utilizes the idle energy storage to charge in the electricity price valley period of the power grid to obtain additional benefits: in the formula, 、 The time-sharing electricity price and the new energy internet-surfing electricity price of the power grid at the moment t are respectively; 、 the electricity purchasing and selling power of the energy storage operators to the power grid are respectively shared at the moment t, 3) Annual investment cost The shared energy storage annual investment cost comprises the construction cost and the operation and maintenance cost of energy storage: in the formula, N is the service life of the device; the energy storage operation and maintenance cost accounts for the proportion of the construction cost; , is the unit construction cost of the device.
3. The method for dynamically pricing shared energy storage in consideration of new energy prediction bias and stored energy state of charge according to claim 2, wherein in step a, the constraint conditions of the shared energy storage operator model are as follows: 1) Energy storage capacity constraint The energy storage system should maintain energy balance at each moment In the formula, Sharing energy balance constraint of stored energy for the time t; and (3) with Respectively charging and discharging efficiency of the energy storage system; As the state of charge of the energy storage system, 2) Power balance constraint Since the power is changing in real time, the power of the energy storage system must be balanced in real time. In the formula, And (3) with The charge power and the discharge power of the shared energy storage device respectively, 3) Charge-discharge state constraint At the same time, the energy storage system can not charge and discharge at the same time, In the formula, The state variables of the charge and discharge of the energy storage system are 0-1 respectively.
4. The method for dynamically pricing shared stored energy in consideration of both new energy forecast bias and stored energy state of charge as recited in claim 1, wherein, in step b, 1) New energy Internet surfing benefits The online income of the new energy is a main income source of the new energy: in the formula, For station at time t Is used for the internet surfing power of the (a), 2) Deviation penalty When the actual internet power of the new energy station deviates from the planned output, the new energy station is subjected to the internet surfing deviation penalty, but the internet surfing deviation penalty can be reduced to a certain extent by adjusting the total output through trading with an energy storage operator, In the formula, The constant is positive number, and is a substitute decision variable of the surfing deviation electric quantity; for the power producer The internet surfing deviation penalty coefficient of (c), The power balance constraint conditions of the new energy station are as follows: in the formula, Is a new energy station 0-1 Random variable at time t; new energy station A prediction bias threshold.
5. The method for dynamically pricing shared stored energy in consideration of both new energy forecast bias and stored energy state of charge as recited in claim 1, wherein, in step c, 1) Energy storage electricity purchasing price In the formula, For the lowest electricity purchase price of the energy storage operator, 2) Energy storage electricity selling price In the formula, The utility model is the new energy internet electricity price, The time-sharing electricity price of the power grid is obtained.

Description

Shared energy storage dynamic pricing method considering new energy prediction deviation and energy storage charge state Technical Field The invention belongs to the technical field of novel energy sources, and particularly relates to a shared energy storage dynamic pricing method. Background The deep evolution of the electric market has made the importance of energy storage as a separate body to participate in the market increasingly prominent. However, the conventional fixed price transaction mode gradually weakens in the aspect of exciting energy storage development, and is difficult to cope with uncertainty challenges brought by new energy output prediction deviation and energy storage multi-scene application in actual operation. These uncertainties often lead to significant conflicts between the energy storage scheduling strategies established in the past and the actual operation. In order to solve the problems, a shared energy storage operation mode is provided, the problems of low self-allocation energy storage utilization rate and poor economical efficiency of the new energy stations are solved, the centralized shared energy storage power station is independently funded and constructed and operated by a third-party energy storage operator, and the third-party energy storage operator utilizes the space-time complementation characteristic of the requirements of each station to establish centralized shared energy storage at the new energy cluster collecting station so as to meet the differential requirements of each station. The method comprises the steps of taking a shared energy storage operator as a market master, firstly making a charge and discharge service price of the shared energy storage operator, taking self benefit maximization as a target, taking space-time complementary characteristics of each requirement into consideration, deciding interaction relations between energy storage and each main body at different moments, taking a new energy station as a follower, deciding own transaction electric quantity according to the price, taking self cost minimization as a target, stabilizing new energy fluctuation, taking the service price of energy storage into consideration, and deciding the transaction electric quantity between each moment and the energy storage operator by taking the penalty cost caused by prediction deviation as a minimum. In order to improve the utilization rate and economic benefit of energy storage resources, a collaborative pricing mechanism between an energy storage operator and a new energy station considering the output prediction deviation of the new energy station and the abundance degree of the energy storage resources needs to be provided. Disclosure of Invention The invention provides a shared energy storage dynamic pricing method considering new energy prediction deviation and energy storage charge state, and a dynamic pricing mechanism considering the energy storage charge state and new energy cluster output deviation, so as to improve market bargaining capacity of a shared energy storage operator and increase profits of the shared energy storage operator. The technical solution adopted by the invention for solving the technical problems is as follows: A shared energy storage dynamic pricing method considering new energy prediction deviation and energy storage charge state comprises the following steps: a. Shared energy storage operator model construction As a master, the shared energy storage operator prioritizes the shared energy storage electricity prices to maximize the shared energy storage operator revenue as an objective function, the total revenue being derived from the energy storage service fee provided to the terminalCost of purchasing and selling electricity to power gridAnnual investment cost of energy storageComposition, in particular, can be expressed as ; B. new energy station model construction As follower, the new energy station generates self-incomeMaximizing the total income as an objective function and surfing the Internet by using new energyNew energy output deviation punishmentEnergy storage service feeThe composition can be expressed as: ; c. dynamic pricing model construction The shared energy storage operator plays a role of a master, firstly establishes the shared energy storage price, secondly, the new energy station responds to follow, determines the energy transaction amount, and finally, the two parties continuously iterate the energy storage price and the energy transaction amount until balance. Preferably, in step a, the process comprises, 1) Energy storage service charge benefit The charge and discharge service benefits provided by the shared energy storage power station for the new energy station comprise the electricity purchasing cost and electricity selling benefits of the new energy station from the energy storage place: in the formula, And (3) withThe electricity purchasing price of the energy storage operator is shared at the