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Research on optimal scheduling of county main new energy
consumption based on internal non-cooperative game under
curve transaction
Yao Lu 1, Meng Yang 1, Shuo Yin 1, Man Jin 1, Zhe Chai 1, Xingwu Guo 1, Xing Chen 1, *, Danni Zhang2
1 State Grid Henan Economic Research Institute, Zhengzhou, China
2 School of electrical engineering, Zhengzhou University, Zhengzhou, China
Abstract: Under the "double carbon" goal and background, new energy power generation will usher in great
development. The investment and construction of new energy projects and the scale of grid connected
transmission are increasing, which puts forward higher requirements for the investment decision-making
management and income of county new energy subjects. Based on the power curve trading and non
cooperative game theory and the day ahead real-time two-stage adjustment and correction mechanism of
county subjects, this paper briefly analyzes the new energy consumption and income of county subjects based
on internal non cooperative game under curve trading.
Keywords: Curve trading; Non-cooperative game; County main body; Day ahead real-time two-stage
trading; new energy consumption; Income situation.
1. Introduction
In the future, the utilization of energy will develop in the
direction of clean and renewable. However, the
uncertainty of difficult prediction and control seriously
hinders the entry of new energy into the power grid. The
county main body with flexible regulation ability provides
an effective way to solve the grid connected power
generation of renewable energy. Due to the limitations of
prediction technology at this stage, the prediction error of
intermittent energy output power and user load power
consumption such as county scenery is large. As the main
body responsible for its own profits and losses, the county
body is facing the risk of strict assessment of power
market deviation. Under many uncertain factors such as
market electricity price and new energy power generation,
it has become a difficult problem for the county subject of
market-oriented operation to flexibly use curve trading to
realize the economic dispatching of internal and external
power market.
2. Power curve trading mechanism
The subject matter of spot power trading has changed
from the traditional index power without time and space
value to the power curve with time scale. As a financial
tool to avoid the risk of electricity spot price, medium and
long-term contract must also reflect the time-space value
of electricity price. Therefore, in the spot market
environment, the curve decomposition must be carried out
for medium and long-term contracts.
Figure 1. Block bidding mechanism
Since the production and use of electric energy have
time continuity, the goods sold or purchased are "energy
blocks" with a certain duration, as shown in Figure 1.
Therefore, only by adding the time dimension of electric
energy commodity (power curve) and considering the
time dynamic characteristics of power curve can the
quality of electric energy commodity be accurately
measured (note that there is no contradiction between the
homogenization of electric energy in physics and the
heterogeneity of electric energy commodity in economics,
and the latter is mainly used for commodity pricing). In
E3S Web of Conferences 352, 02008 (2022) https://doi.org/10.1051/e3sconf/202235202008
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© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution
License 4.0 (http://creativecommons.org/licenses/by/4.0/).
the trading process of power market, different (horizontal
or vertical) "energy blocks" are used to fill the area under
the load curve to achieve power and electricity balance. In
this process, prices with different connotations will also
be formed.
The essence of centralized bidding transaction is a
multilateral transaction, which needs to be carried out
based on "standardized products" (otherwise, bidding
cannot be carried out on a unified platform). It is
impossible to customize the load curve. The rough way is
to only bid for electricity. Because users in different
industries have different typical load curves, it is difficult
to implement centralized bidding according to the
standard load curve. The idea of piecewise bidding (or
horizontal auction) can be introduced here. In the initial
stage, the load is roughly divided into base charge energy,
waist charge energy and peak charge energy for bidding
respectively, and further subdivided into multiple load
segments (energy blocks) according to the load duration
with the advancement of the market, so as to conduct
centralized bidding transactions for electric energy in
different load segments.
Figure 2. Centralized bidding of energy blocks with different
loads
1.Annual common decomposition curve:
Determine the annual monthly power ratio (Y) and
monthly daily power ratio (M) according to the historical
load of unified dispatching, decompose the annual power
into monthly and daily power, and then decompose the
daily power into 24-hour power curve according to the
daily common decomposition curve (D1, D2 or D3), that
is, the annual common decomposition curve includes Y+
M + D1, Y + M+ D2 and Y + M+ D3.
2.Monthly common decomposition curve:
According to the monthly daily ratio (M),
decompose the monthly contract power into daily power,
and then decompose the daily power into 24-hour power
curve according to the daily common decomposition
curve (D1, D2 or D3), that is, the monthly common
decomposition curve has three forms: M + D1, M + D2
and M + D3.
3.Weekly common decomposition curve
According to the monthly daily ratio (M), decompose
the weekly power into daily power, and then decompose
the daily power into 24-hour power curve according to the
daily common decomposition curve (D1, D2 or D3), that
is, the weekly common decomposition curve includes M
+ D1, M + D2 and M + D3.
Figure 3. Long-term contract position of power sales
companies
3. Non-cooperative game theory
In order to realize the internal energy optimal
management of county subjects, a new regional power
market framework is built, an energy management model
focusing on the internal energy transaction of county
subjects is proposed, and the model is solved by using the
master-slave game theory. Among the county subjects,
power selling users and power purchasing users are
independent interest subjects. Power purchasers minimize
the cost by setting a reasonable purchase price; The
electricity selling users set the optimal electricity selling
quantity according to the electricity purchase price
proposed by the electricity purchasing users, so as to
maximize their own interests. Because the power selling
users need to optimize their own benefits according to the
power purchase price of the power purchasing users, and
the power purchasing users should put forward the most
reasonable power purchase price according to the power
sales of the power selling users, there is an interest game
between the power purchasing users and the power selling
users. As the power seller providing photovoltaic, the
power selling user has the priority to decide. Therefore,
the game between the power selling user and the power
purchasing user can be constructed as a stark Berg master-
slave game.
Among them, the game player includes the power
selling user set N (the leading Party) and the power
purchasing user set B (the follower).
is the power
purchasing strategy of the power purchasing user,
is
the total cost of the power purchasing user group,
calculated according to equation 29;
is the
power selling strategy set of the power selling user, from
which the power selling user selects the power selling
strategy, as shown in
;
is the
revenue collection of power selling users, calculated
according to equation 24.
4. Day ahead real-time two-stage
transaction correction mechanism
(1) Power day ahead trading aiming at maximizing the
economic benefits of county entities. As a market entity,
the county entity participates in the day ahead energy
transaction and formulates the optimal economic
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arrangement for the next day according to the prediction
of the day ahead market electricity price, user load and
wind and solar power generation power. Sell electricity to
the market when its own power generation is surplus and
buy electricity when it is insufficient, and settle the
settlement according to the clearing price of the day ahead
energy market. In order to avoid the phenomenon of
abandoning wind and light, this paper takes the county
main body as the price receiver, and improves the
consumption capacity of the system through grid
connected operation. In the market-oriented operation of
county main body, the goal of daily dispatching plan is to
maximize the daily operation income of the system.
Among them, in the market-oriented operation of
microgrid considering demand response, the goal of
microgrid daily scheduling plan is to maximize the daily
operation income of the system. Among them, the daily
operation income of microgrid includes: transaction
income with power market
and power sales income
to load users
; The daily operation cost of microgrid
includes: operation cost and start-up cost
of various
distributed micro generators, operation and maintenance
cost
of wind power and photovoltaic, depreciation
cost
of battery energy storage, and compensation cost
of user demand side response.
Among them,
;
;
(2) Power real-time trading with the goal of
minimizing the prediction deviation of the correction day
ahead trading market. Due to the influence of prediction
error, the county subject needs to constantly update the
predicted values of load and wind power, and make real-
time power adjustment to the daily dispatching plan. As a
useful supplement to the day ahead market, real-time
balancing market is an effective means to improve the
system power balance by using market regulation to
balance the power supply and demand deviation in the
operation of power grid. Therefore, county main operators
can participate in the real-time market, predict the real-
time electricity price and formulate reasonable electricity
trading, reduce the real-time adjustment cost and promote
the consumption of intermittent energy. In the real-time
market, the active output of the county main adjustable
output unit takes the daily dispatching plan curve as the
reference value. The real-time adjustment goal of the
county main body is to minimize the real-time adjustment
cost of the system.
Among them,
Where, for period t,
represents the real-time
market forecast electricity price,
represents the
forecast load deviation at time j (15min),
represents
the adjusted electricity quantity of microgrid participating
in the real-time balance market, and
represents
the reduced electricity quantity of LC user load in the real-
time market.
5. Conclusion
Based on the introduction of power curve trading and non-
cooperative game theory, the day ahead real-time two-
stage regulation and correction mechanism of county
subjects, this paper briefly analyzes the new energy
consumption and main income of county subjects based
on internal non cooperative game under curve trading, so
as to provide reference for the follow-up county power
grid under the new policy of power system reform, It has
laid a theoretical foundation for further effectively
promoting the consumption of new energy, adjusting the
investment benefits of internal subjects and optimizing
County Energy autonomy. The experimental
demonstration shows that the new energy consumption
mechanism of county main body based on internal non
cooperative game under curve transaction proposed in this
paper will effectively reduce the investment and operation
cost of county main body, effectively ensure the power
resource supply, promote the optimal distribution of
power resources, optimize the investment benefit
management, ensure the asset utilization efficiency in the
county main body operation and win the market
competitiveness, While ensuring the safe and stable
operation of power system and power quality, improve the
economic benefits of large power grid operation. In order
to promote the delivery and consumption of large-scale
centralized further steadily and orderly and distributed
clean energy, ensure the social and environmental benefits
of project investment, lay a solid foundation, and provide
an important guarantee for accelerating the realization of
the "double carbon" goal.
Figure 4. Day-ahead/real-time market earnings
Figure 5. Wind and solar power consumption
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Acknowledgments
This work was supported by the Science and Technology
Project of SGCC (5217L0210003).
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