发表机构
Federal Ministry for Economic Affairs and Climate Action; Projektträger Jülich GmbH（经济事务和气候行动部; 尤利奇项目载体）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究本地电力市场中 prosumer 的市场策略，开发基于代理的模拟平台，比较四种市场策略，通过模拟发现基于规则的资源控制可降社区能源支出，市场自适应策略收益最高，策略有效性取决于多种因素。
AI 中文摘要
配备分布式发电和灵活负载的 prosumer 形成自主的信息物理能源系统，以最少人工干预控制本地资源并参与本地能源市场。本文开发并评估了一个基于代理的模拟平台，其中代表拥有光伏系统、电池存储系统、电动车辆和热泵的 prosumer 家庭的代理参与统一价格双边呼叫拍卖。比较了四种复杂度递增的市场策略：零智能约束基线、边界价格策略、扩展存储级联和市场自适应定价策略。模拟在一个由 33 个 prosumer 组成的社区中进行，分辨率为 15 分钟，涵盖夏季、冬季和春季以表征季节变化。结果表明，基于规则的资源控制大幅降低了社区能源支出：扩展存储级联的总成本为 39.06 欧元，而零智能基线为 62.38 欧元，降低了 37.4%。市场自适应策略在夏季条件下通过参与本地能源市场产生了最高的社区总财务收益（14.40 欧元，而基线为 10.28 欧元，收益为 40.1%）。策略有效性取决于投资组合构成和季节性供应条件，需要对资源控制和定价决策进行联合评估。
英文摘要
Prosumers equipped with distributed generation and flexible loads form autonomous cyber-physical energy systems that control local resources and participate in local energy markets with minimal human intervention. This work develops and evaluates an agent-based simulation platform in which agents, representing prosumer households with photovoltaic systems, battery storage systems, electric vehicles, and heat pumps, participate in a uniform-price double-sided call auction. The effect of individual bidding strategies on community-level efficiency and prosumer-level financial outcomes is incompletely understood, particularly when prosumers with heterogeneous portfolios interact in one market. Four market strategies of increasing complexity are compared: a zero-intelligence constrained baseline, a boundary-price strategy, an extended storage cascade, and a market-adaptive pricing strategy. The simulation is conducted on a community of 33 prosumers at 15-minute resolution, spanning summer, winter, and spring to characterize seasonal variation. Results show that rule-based resource control substantially reduces community energy expenditure: the extended storage cascade achieves a total cost of 39.06 EUR compared to 62.38 EUR under the zero-intelligence baseline, a reduction of 37.4 %. The market-adaptive strategy yields the highest aggregate community financial gain through local energy market participation (14.40 EUR vs. 10.28 EUR for the baseline, a gain of 40.1 %) under summer conditions. Strategy effectiveness depends on both portfolio composition and seasonal supply conditions, requiring joint evaluation of resource control and pricing decisions.
