Optimal Planning of User-side Scaled Distributed Generation Based on Stackelberg Game

Q3 Engineering

EAI Endorsed Transactions on Energy Web Pub Date : 2024-04-05 DOI:10.4108/ew.5655

Xiaoming Zhang, Wen Cao, Yuhang Sun, Li Wang, Qi Chai

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引用次数: 0

Abstract

BACKGROUND: User-side distributed generation represented by distributed photovoltaic and distributed wind turbine has shown an expansion trend of decentralized construction and disordered access, which is difficult to satisfy the demand for large-scale exploitation and sustainable development of distributed generation under the low-carbon transformation vision of the power system. OBJECTIVES: To address the interest conflict and operation security problems caused by scaled distributed generation accessing the distribution network, this paper proposes the optimal planning method of user-side scaled distributed generation based on the Stackelberg game. METHODS: Firstly, a cluster planning and operation mode of distributed generation is established. Then, a prediction method for planning behavior of user-side distributed generation is proposed in order to predict whether users will adopt the self-build mode or the leasing site mode for distributed generation. Finally, in order to reveal the game relationship between the distribution network operator and the users in the allocation of distributed generation resources, a bi-level planning model for scaled distributed generation is established based on the Stackelberg game. RESULTS: The simulation results show that the revenue of the distribution network operator under the gaming model increases by 10.15% and 16.88% compared to the models of all users self-build distributed generation and all users leasing distributed generation site, respectively, while at the same time, individual users also realize different degrees of revenue increase. CONCLUSION: The case analysis validates the effectiveness of the proposed method in guiding the rational and efficient planning of user-side distributed generation.

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基于堆栈博弈的用户侧规模化分布式发电优化规划

背景：以分布式光伏和分布式风电为代表的用户侧分布式发电呈现分散建设、无序接入的扩张趋势，难以满足电力系统低碳转型愿景下分布式发电规模化开发和可持续发展的需求。目标：针对规模化分布式发电接入配电网带来的利益冲突和运行安全问题，本文提出了基于 Stackelberg 博弈的用户侧规模化分布式发电优化规划方法。方法：首先，建立分布式发电的集群规划和运行模式。然后，提出用户侧分布式发电规划行为预测方法，以预测用户是采用自建模式还是租赁场地模式进行分布式发电。最后，为了揭示配电网运营商与用户在分布式发电资源分配中的博弈关系，建立了基于斯塔克尔伯格博弈的规模化分布式发电双层规划模型。结果：仿真结果表明，与所有用户自建分布式发电和所有用户租赁分布式发电场地的模式相比，博弈模式下配电网运营商的收益分别增加了10.15%和16.88%，同时单个用户也实现了不同程度的收益增加。结论：案例分析验证了所提方法在指导用户侧分布式发电合理高效规划方面的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

EAI Endorsed Transactions on Energy Web Energy-Energy Engineering and Power Technology

CiteScore

2.60

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world''s top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.