本项目属于智能电网联合基金项目重点项目“水电气等综合能源安全高效运营机制”资助范畴，旨在开展制度有效性理论研究，设计促进综合能源系统资源优化配置、高效安全运行的运营机制及关键技术。项目运用制度有效性理论的最新成果，设计促进综合能源系统安全高效运营的体制，提出基于市场价值分配、交易成本精准分摊、实现约束弹性化、市场风险治理、交易成本降低、促进信息对称的综合能源运营机制；构建模拟优化方法迭代过程、实现算法步骤市场规则化、考虑有限理性市场交易行为、承载能源生产、传输、转换、消费各环节交易成本的市场均衡模型；提出互联网、大数据、人工智能环境下、时钟控制、数据驱动的综合能源市场均衡自趋优求解方法。期待本项目的成果能够以公平的市场价值分配和精准的能源网络成本分摊，产生基于多能源替代的供给与需求的弹性，激励多能源系统的融合，打破行业间壁垒，实现更大范围内的资源优化配置，支撑综合能源系统的安全高效运营。

This proposal belongs to Key Program “Secure and Efficient Operation Mechanism for Water, Electricity, Natural Gas and Integrated Energy Systems (IES)” supported by Smart Grid Collaborative Fund. This proposal is aimed at investigating Institution Effectiveness Theory, and designing market mechanisms to achieve the resource optimal allocation as well as the efficient and secure operation of integrated energy systems, thereby yielding critical technologies. According to the latest achievements of Institution Effectiveness Theory, the institution for IES will be designed in this proposal, which supports the secure and efficient operation of IES. An IES market mechanism will be presented based on market value and transaction cost allocation theory, thus achieving constraint elastification, managing market risks, reducing transaction costs and promoting information symmetry. A market equilibrium model will be formulated considering the simulation of optimization iterative processes, the data-driven modeling of bounded rationality-based market behavior, and the transaction costs along the sectors of energy production, transmission, transformation and consumption, which will achieve the market regularization of algorithms. A self-optimizing solution method will be proposed for the market equilibrium of IES based on data-driven clock control in the environment of internet, big data and artificial intelligence. The research achievements from this program will possibly take advantage of a fair market value and energy network cost allocation, to induce the elasticity of the energy production and consumption, improve the integration of multiple energy systems, and break the barriers among different energy industries, thereby achieving the resource optimal allocation in a larger energy infrastructure and supporting the secure and efficient operation of IES.