Park operator energy transaction optimization decision-making method based on supply and demand game interaction
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A decision-making method and operator's technology, applied in resources, complex mathematical operations, calculation models, etc., can solve problems such as fixed energy sales prices of energy suppliers
Pending Publication Date: 2020-07-28
SICHUAN UNIV
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Problems solved by technology
In a perfectly competitive market, although existing studies have proposed an interactive framework that includes park operators, energy suppliers, and users, the price of energy sales by energy suppliers is fixed, and the role of the market in resource allocation cannot be fully utilized.
Current research focuses on the unilateral interaction mechanism or coordination optimization between park operators and users, but the day-ahead scheduling problem under the consideration of park operators interacting with supply-side and demand-side market players at the same time has not been involved
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Embodiment 1
[0047] Based on the game interaction between supply and demand, the energy transaction optimization decision-making method of the park operator, the energy supplier supplies energy to the users in the park through the park operator, including the following steps:
[0048] Step 1: The park operator obtains the energy demand on the user demand side and sends the energy demand to the energy supplier;
[0049] Step 2: the energy supplier supplies energy to the park operator according to a preset benefit function;
[0050] Step 3: Input the energy supplied by the energy supplier to the park operator as an input parameter into the trained supply-demand bilateral game interaction model, and the output parameters of the supply-demand bilateral game interaction model are used as the park operator's Output quantity, wherein, the game interaction model on both sides of supply and demand represents the functional relationship between input parameters and output parameters;
[0051] Step ...
Embodiment 2
[0074] In this embodiment, the park operator's energy transaction optimization decision-making method for supply and demand game interaction is further optimized, including the following steps:
[0075] Step 1: Construct the benefit functions and constraints of park operators, energy suppliers and users;
[0076] Step 2: Propose the framework and mechanism for the game interaction between park operators and supply and demand sides;
[0077] Step 3: Prove that the game interaction model has a unique Nash equilibrium solution;
[0078] Step 4: Based on the reverse order induction method, the game interaction model is solved by using the solution algorithm combining the particle swarm optimization algorithm and the CPELX solver.
[0079] It is worth noting that in the first step, the park operator aims to maximize its own net income and build a benefit function, including the income from selling energy to users, the cost of purchasing energy from the energy supply side, and the ...
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Abstract
The invention discloses a park operator energy transaction optimization decision-making method based on supply and demand game interaction. The method comprises the following steps: performing detailed modeling analysis on internal energy equipment of a park comprehensive energy system by adopting the concept of an energy hub, establishing a benefit function by taking the net profit of energy purchasing and selling of a park operator participating in the market as a target, and simulating the benefit function through historical transaction strategy data of an energy supplier and a user; basedon the Stackelberg game theory, considering the initiative of energy suppliers and users at the same time, adopting a power-price curve containing profits and marginal costs and a time-sharing unifiedprice respectively, and providing a park operator supply and demand double-side game interaction framework; based on Nash equilibrium definition, enabling mathematical derivation to prove that the game model has a unique equilibrium solution; on the basis of an inverse induction method, adopting a solving algorithm combining a particle swarm algorithm and a CPLEX solver to solve the model, and the method is reasonable in structure, high in practicability and suitable for popularization.
Description
technical field [0001] The invention relates to the field of multi-stakeholder game interaction transactions, in particular to an energy transaction optimization decision-making method for park operators based on supply-demand game interaction. Background technique [0002] As the National Energy Administration gradually opens up the energy market and encourages market players to develop multi-energy complementary approaches, seeking a safe, efficient, low-carbon and clean market service mechanism and energy operation model suitable for the integrated energy system has become a current research hotspot. As a clean, efficient, multi-energy coupling, and load-concentrated new energy production and consumption system, the park is conducive to the consumption of renewable energy and the coupling of multiple energy sources. Therefore, it is of great significance to study the operation optimization of the park's comprehensive energy system in the market service mechanism for the d...
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