Optimization Decomposition of Monthly Contracts for Integrated Energy Service Provider Considering Spot Market Bidding Equilibria
Abstract
:1. Introduction
- (1)
- Given the difficulties in the connection between the medium- and long-term market and the spot market and the volatility and uncertainty of the price and quantity of the spot market transactions, this paper designs a medium- and long-term monthly contract optimization decomposition strategy that can stabilize the bidding space in the spot market and reduce the fluctuation in the demand of spot bidding by considering the equilibrium of the bidding space in the spot market to ensure the smooth connection between the medium- and long-term market and the spot market;
- (2)
- To ensure the effective execution of the mid-and long-term contract decomposition results daily and reduce the contract decomposition deviation, this paper constructs a day-ahead scheduling model of the IES that accounts for the coupling of multiple energy flows, takes into account the substitution and cross-complementary characteristics of electricity, gas, and heat of multi-energy resources, and carries out the optimal scheduling of various types of resources based on the daily decomposition results of the mid-and long-term contracts;
- (3)
- To effectively alleviate the pressure of energy supply at the energy supply point and realize the efficient interconnection and interaction of electricity, gas, and heat networks in the IES, this paper considers the dynamic pipe storage characteristics of the gas network and realizes the low storage and high generation of the gas network. The results show that the method can effectively reduce the dispatch operation cost.
2. The Connection Process of Multi-Energy Transactions between the Medium- and Long-Term Market and the Spot Market
3. Daily Decomposition of Monthly Medium- and Long-Term Contracts Considering Spot Bid Equalization
3.1. Monthly Contract Optimization Decomposition Model
3.1.1. Objective Function
3.1.2. Restrictive Condition
4. A Day-Ahead Scheduling Model for IESs Accounting for Multiple Energy Flow Coupling
4.1. Objective Function
4.2. Restrictive Condition
4.2.1. Grid Operation Constraints
4.2.2. Gas Network Operational Constraints
4.2.3. Thermal Network Operational Constraints
4.2.4. Source Hub Constraint
4.3. Model Solving Steps
5. Calculus Analysis
5.1. Basic Data
5.2. Analysis of the Effectiveness of the Monthly Contract Equalization Decomposition Method
5.3. Analysis of the Actual Daily Performance of Monthly Contracts
6. Conclusions
- (1)
- The proposed method in this chapter considers the equilibrium decomposition of the centralized bidding volume as well as the equalization of the spot bidding space, which reduces the contract decomposition cost by about USD 0.33 million compared to the contract decomposition cost without considering the equilibrium decomposition, and the spot energy purchase variance also decreases by about 4.64%; at the same time, the consideration of the spot bidding variance can also effectively alleviate the fluctuation in the spot market and achieve smooth convergence of the spot market with the medium- and long-term market;
- (2)
- In this chapter, the daily operation plan of the IES is formulated based on the preliminary decomposition of the contract, which ensures that the deviation in daily energy supply and output does not exceed 3% in response to the assessment index at the end of the month, and then the optimized decomposition of the attributed amount of the medium- and long-term contract and the spot purchase plan is carried out so that the daily decomposition of the contract can maximize the operating income of each supplier;
- (3)
- Considering that the dynamic pipe storage characteristics of the gas network trim the overall daily operating cost of IES by 2.01% compared to the scenario without this consideration, the noteworthy cost reduction is predominantly in the gas network, lowered by approximately 6.4%. Simultaneously, the gas source point’s output exhibits a smoother trend. This substantiates the effectiveness of gas network pipe storage characteristics in easing energy supply pressure at the energy supply point and achieving efficient interconnection of the electricity, gas, and heat networks in the IES.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Scene | Contract Decomposition Cost/(USD) | Spot Purchase Energy Variance |
---|---|---|
S1 | 45,871,627 | 24.5681 |
S2 | 44,302,449 | 87,193.68 |
S3 | 45,534,180 | 23.4273 |
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Wu, C.; Wei, Z.; Jiang, X.; Huang, Y.; Fan, D. Optimization Decomposition of Monthly Contracts for Integrated Energy Service Provider Considering Spot Market Bidding Equilibria. Electronics 2024, 13, 1945. https://doi.org/10.3390/electronics13101945
Wu C, Wei Z, Jiang X, Huang Y, Fan D. Optimization Decomposition of Monthly Contracts for Integrated Energy Service Provider Considering Spot Market Bidding Equilibria. Electronics. 2024; 13(10):1945. https://doi.org/10.3390/electronics13101945
Chicago/Turabian StyleWu, Chen, Zhinong Wei, Xiangchen Jiang, Yizhen Huang, and Donglou Fan. 2024. "Optimization Decomposition of Monthly Contracts for Integrated Energy Service Provider Considering Spot Market Bidding Equilibria" Electronics 13, no. 10: 1945. https://doi.org/10.3390/electronics13101945