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电力用户参与需求侧响应模型研究

发布时间:2018-08-01 09:45
【摘要】:随着经济的发展,环境恶化、资源日益耗尽等问题日渐成为影响人类发展的重要问题。清洁能源发电的应用,不仅推动了经济的发展,也减轻了环境保护的压力。为了进一步满足经济发展的需求,我国提出“建设能够提供安全、可靠、经济、环保、高效的智能电网”。在建设“坚强智能电网”的同时,实现电力用户积极参与电力需求侧响应进行科学用电,建立适应智能电网发展的相关理论体系,以保障我国电力市场的高速发展。在此背景下,本文以需求侧响应理论为基础,建立了电力用户参与的需求侧响应模型。在电力用户参与电力需求侧响应的过程中,用户消费的灵活性可以提高电力市场的运营效率和运行可靠性。针对电力用户参与需求侧响应的不确定性,本文在实时电价和分时电价两种电价机制下,建立电力用户基于价格的需求侧响应模型,用以分析消费者消费模式的转变以及负荷的转移。在分时电价下,以用户效用函数为基础,建立需求响应模型;在实时电价下,以需求弹性为基础,建立需求响应模型。通过实际数据对所建模型进行算例分析。考虑在参与需求侧响应的负荷中,电动汽车具有代表性。针对电动汽车(Electric Vehicle,EV)参与需求侧响应的不确定性,本文通过建立双方互动的博弈机制,制定合理的价格体系,以提高电动汽车用户参与需求侧响应的积极性。电网公司和电动汽车用户作为博弈双方,在交易过程中双方信息相对独立,故本文采用静态贝叶斯纳什均衡理论,引入双向拍卖模型来制定电动汽车放电电价。本文分别在实时电价和分时电价两种电价机制下,通过回购电动汽车用户电力的方式来促使其参与需求侧响应。在基于价格的需求侧响应模型的基础上,改进了需求侧响应模型以模拟电动汽车用户参与需求响应。为了验证改进的用户参与需求侧响应模型,本文在不同的限制条件下通过MATLAB进行算例仿真分析。仿真结果表明,在分时电价和实时电价两种情况下,电动汽车参与的需求侧响应都具有降低负荷高峰峰值以及增强电网稳定性的作用。在实时电价下,电动汽车参与需求侧响应积极性和电能利用率更高、总费用更低。
[Abstract]:With the development of economy, environmental deterioration and the depletion of resources, it has become an important problem to affect the development of human beings. The application of clean energy not only promotes the development of economy, but also lightens the pressure of environmental protection. In order to further meet the needs of economic development, our country proposed that "building a smart grid that can provide security, reliability, economy, environmental protection, and efficiency". At the same time of constructing "strong smart grid", electric power users can actively participate in the scientific demand side response of power consumption, and establish relevant theoretical system to adapt to the development of smart grid, so as to ensure the rapid development of power market in China. Based on the theory of demand-side response, a demand-side response model in which power users participate is established in this paper. In the process of power users participating in the demand side response, the flexibility of user consumption can improve the operation efficiency and reliability of the electricity market. In view of the uncertainty of power users participating in the demand-side response, in this paper, a price-based demand-side response model for power users is established under two pricing mechanisms: real time price and time-sharing price. It is used to analyze the change of consumer consumption pattern and the shift of load. The demand response model is established on the basis of the user utility function under the time-sharing price and the demand response model based on the demand elasticity under the real-time electricity price. Through the actual data, the model is analyzed as an example. Considering the load involved in the demand-side response, the electric vehicle is representative. In view of the uncertainty of Electric vehicle (EV) participating in the demand-side response, this paper establishes a game mechanism of interaction between the two sides and formulates a reasonable price system to improve the enthusiasm of EV users to participate in the demand-side response. Power grid companies and electric vehicle users are the two sides of the game, the information of both parties is relatively independent in the process of trading, so this paper adopts static Bayesian Nash equilibrium theory and introduces a two-way auction model to determine the electric vehicle discharge price. In this paper, the users of electric vehicles are repurchased to participate in the demand-side response under two pricing mechanisms: real time price and time sharing price, respectively. Based on the price-based demand-side response model, the demand-side response model is improved to simulate the demand response of electric vehicle users. In order to verify the improved model of user participation in demand side response, this paper uses MATLAB to simulate and analyze the model. The simulation results show that the demand side response of electric vehicles can reduce the peak load peak and enhance the power network stability under both time-sharing price and real-time price. Under the real time electricity price, the electric vehicle participates in the demand side response enthusiasm and the electric energy utilization ratio is higher, the total cost is lower.
【学位授予单位】:江苏大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:F426.61;F274

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