Game-theoretic multi-energy trading framework for strategic biogas-solar renewable energy provider with heterogeneous consumers

This paper proposes a game-theoretic multi-energy trading framework for a biogas-solar renewable energy provider with heterogeneous consumers to promote the efficient utilization of local renewable energy resources. Within the proposed framework, the multi-energy provider utilizes biogas-solar complementarities to enhance the operational flexibility for electricity, biogas, and heat energy supplies, and consumers are enabled to actively participate in demand response under different multi-energy prices from the provider and UCs. A multi-energy pricing model is then proposed based on the Stackelberg game to interactively and dynamically determine the internal trading prices for optimal multi-energy trading between the provider and consumers. Furthermore, a bi-level optimization method is formulated to solve the Stackelberg game-based multi-energy trading problem to maximize the provider's profit at the upper level and the welfare of each consumer at the lower level. Case studies show that the provider's profit is improved by 33.69% using the proposed scheme compared with the benchmark scheme, and meanwhile the average welfare of consumers for consuming biogas and electricity are approximately 3.0 and 1.4 times greater than those using the benchmark scheme. • Proposal of an interactive framework for multi-energy trading at the community level. • Development of a biogas-solar energy hub for flexible multi-carrier energy supplies. • Formulation of the internal multi-energy pricing problem into a Stackelberg game. • Utilization of bi-level optimization method to coordinate multi-user demand response. • Performances of enhancing economic benefits for both the provider and consumers.

本文为一个拥有异质消费者的沼气 - 太阳能可再生能源供应商提出了一个博弈论多能源交易框架，以促进当地可再生能源的高效利用。在提出的框架内，多能源供应商利用沼气 - 太阳能的互补性来提高电力、沼气和热能供应的运营灵活性，并且消费者能够在供应商和公用事业公司（UCs）的不同多能源价格下积极参与需求响应。然后基于斯塔克尔伯格博弈提出了一个多能源定价模型，以交互和动态地确定供应商和消费者之间最优多能源交易的内部交易价格。此外，制定了一个双层优化方法来解决基于斯塔克尔伯格博弈的多能源交易问题，以在上级最大化供应商的利润，并在下级最大化每个消费者的福利。案例研究表明，与基准方案相比，使用所提出的方案供应商的利润提高了33.69%，同时消费者消费沼气和电力的平均福利分别比使用基准方案大约高3.0倍和1.4倍。 • 提出社区层面的多能源交易交互框架。 • 开发一个沼气 - 太阳能能源枢纽以实现灵活的多载体能源供应。 • 将内部多能源定价问题构建为斯塔克尔伯格博弈。 • 利用双层优化方法协调多用户需求响应。 • 提高供应商和消费者经济效益的性能。