实施阶梯式碳交易机制的电力系统弹性资源风险与经济平衡优化模型

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-08-25 DOI:10.1016/j.segan.2024.101513
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引用次数: 0

摘要

大力发展新能源(NE)是应对能源危机和环境恶化的重要措施。然而,未来高比例的新能源并网将导致电力系统灵活性供需失衡。本研究构建了灵活资源(FR)风险经济平衡优化模型。首先,建立了柔性资源供需定量数学模型。然后,设计了阶梯式碳交易机制,使柔性火电(FTP)的碳排放量减少了 553.96 吨,降幅为 0.25%,碳排放成本降低了 546933.08 日元,降幅为 10.5%。供应侧 FR 的碳排放成本分配给每个负荷。其次,将条件风险值(CVaR)纳入目标函数,以衡量系统灵活性不足造成的风险损失。最后,为了使总运行成本最小化,我们设计了 FTP、储能系统(ESS)和抽水蓄能(PS)的启停计划、输出功率和调节率;为了使用户用电满意度最大化,我们设计了转移负荷(SL)和削减负荷(CL)的峰谷分时电价(TOU),并设计了需求响应(DR)的总约束。典型日的模拟表明(1) 所提出的模型可以在考虑经济性和风险性的同时实现需求响应的低碳优化,并提高调度的可执行性和用户的用电满意度;(2) 不同类型的需求响应可以耦合在一起,以降低系统运行成本和碳排放。
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Risk and economic balance optimization model of power system flexible resource implementing ladder-type carbon trading mechanism

Vigorously developing new energy (NE) is an important measure to deal with energy crisis and environmental deterioration. However, the high proportion of NE connected to the grid in the future will lead to an imbalance between supply and demand for the flexibility of the power system. This study constructs a flexible resource (FR) risk economic balance optimization model. Firstly, a quantitative mathematical model of supply and demand of FR is established. Then, the ladder-type carbon trading mechanism is designed, which reduces the carbon emission of flexible thermal power (FTP) by 553.96 t, or 0.25 %, and reduces the carbon emission cost of ¥546,933.08, or 10.5 %. The carbon emission cost of supply side FRs is allocated to each load. Secondly, conditional value at risk (CVaR) is integrated into the objective function to measure the risk loss caused by insufficient flexibility of the system. Finally, to minimize the total operation costs, we design start-stop plan, output power, and regulation rate for the FTP, energy storage system (ESS), and pumped storage (PS); to maximize the customer satisfaction of electricity consumption, we design the peak-valley time-of-use (TOU) price of shifted load (SL) and cut load (CL), and design the total constraint of demand response (DR). Simulation on a typical day shows that: (1) The proposed model can realize low-carbon optimization of FR while considering both economic and risk, and improve scheduling executability and customer satisfaction of electricity consumption; (2) Different types of FRs can be coupled together to reduce system operation costs and carbon emissions.

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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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