互联网络库诺-纳什均衡的竞争分析

Onja Voalintsoa, A. Randriamitantsoa, Solofo Rakotoniaina
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摘要

长期以来,电力网络一直受到垄断,包括生产、运输和分配部门。然而,最近的自由化努力为电力市场引入了竞争。为了理解和管理这种竞争,经济学中的一个重要工具--博弈论被频繁使用。具体而言,人们通过各种博弈论模型来分析电力市场内的竞争,包括伯特兰的原子性、库尔诺的同质性和纳什的研究性竞争。这些模型旨在实现库诺-纳什均衡,即市场中的每个参与者在考虑到其他人策略的情况下做出最优决策。为了有效地分配生产,确保供需平衡,并保持互连网络的稳定,人们采用了一种将负载流技术与博弈论原理相结合的方法。这种混合方法能够在考虑市场竞争动态的情况下,对电力生产进行战略性分配。通过整合这些方法,我们可以解决复杂的竞争问题,同时确保电网的高效稳定运行。这种创新方法不仅能加强对电力生产和分配的管理,还能促进电网更具竞争力和复原力。此外,在这种情况下应用博弈论可以更深入地了解市场参与者之间的战略互动。它有助于预测行为、制定战略和预测市场变化,从而为决策提供一个强有力的框架。这一点在多个实体争夺市场份额和利润的自由化市场中尤为重要。通过运用博弈论的洞察力,我们可以模拟各种市场情景,优化资源配置,提高整体市场效率。此外,这种方法还能确保可再生能源的可变性在电网运行动态中得到考虑,从而支持可再生能源的整合。总之,博弈论和负荷流方法的交叉运用为应对竞争性电力市场带来的挑战提供了全面的解决方案,为实现可持续和高效的能源未来铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Competitive Analysis at the Cournot-Nash Equilibrium of an Interconnected Network
The electric power network has long been subject to monopolization, encompassing production, transportation, and distribution sectors. However, recent liberalization efforts have introduced competition into the electricity market. To understand and manage this competition, game theory, a prominent tool in economics, is frequently employed. Specifically, competition within the electricity market has been analyzed through various game-theoretical models, including Bertrand's atomicity, Cournot's homogeneity, and Nash's research competition. These models aim to achieve the Cournot-Nash equilibrium, where each participant in the market makes optimal decisions given the strategies of others. To effectively allocate production and ensure a balance between supply and demand, as well as to maintain the stability of the interconnected network, one has adopted a method that combines Load Flow techniques with game theory principles. This hybrid approach enables a strategic distribution of power production, taking into account the competitive dynamics of the market. By integrating these methodologies, one can address the complexities of competition while ensuring efficient and stable operation of the power grid. This innovative approach not only enhances the management of electricity production and distribution but also fosters a more competitive and resilient power network. Moreover, the application of game theory in this context allows for a deeper understanding of strategic interactions among market participants. It helps in predicting behaviors, formulating strategies, and anticipating market changes, thus providing a robust framework for decision-making. This is particularly crucial in a liberalized market where multiple entities vie for market share and profitability. By employing game-theoretical insights, one can simulate various market scenarios, optimize resource allocation, and enhance overall market efficiency. Furthermore, this approach supports the integration of renewable energy sources by ensuring that their variable nature is accommodated within the grid's operational dynamics. In summary, the intersection of game theory and load flow methods offers a comprehensive solution to the challenges posed by a competitive electricity market, paving the way for a sustainable and efficient energy future.
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