考虑碳排放和可持续能源的峰谷分时电价运营策略研究

Time-of-use (TOU) tariff has been regarded as one of the effective ways to induce the customers to use electricity wisely and reduce the electricity usage in the peak period. However, how to better implement the TOU tariff is still facing many problems and challenges. This research aims at establishing the optimization model and theoretical framework for the TOU tariff, based on the phenomenon that the customers will shift some electricity consumption from the peak period with a higher price to the non-peak period with a lower price. Various methods, such as optimization theory, game theory, numerical experiment, etc., will be used in the study. We will keep the operational strategies for the TOU tariff as the central tasks, and study three subprojects in this research, i.e., electricity TOU tariff with the consideration of consumer choice behavior and carbon emission, the effects of the sustainable energy on the TOU tariff, and electricity TOU tariff in a decentralized supply chain. Throughout the project, we will deeply study the optimal pricing and capacity strategies for the TOU tariff; analyze the effects of various factors, such as consumer choice behavior, carbon emission, sustainable energy and supply chain structure, etc., on the optimal strategies; and discuss the utilities of the TOU tariff to the electricity companies, customers and environment. Theoretically, the results of this research will enrich the theories of pricing, technology choice and capacity investment, and sustainable operations. Practically, the results will provide the decision support and managerial insights for the electricity company to implement the TOU tariff, for the government to regulate the electricity industry, and for achieving the energy conservation and emission reduction.

峰谷分时电价被认为是能够引导用户采取合理的用电方式从而降低高峰期用电量的有效方式之一。但是，如何更好地实施峰谷分时电价仍面临着许多问题和挑战。本项目拟从用户面对高峰期和非高峰期不同电力价格时用电量会发生转换的角度出发，构建峰谷分时电价的最优决策模型和理论分析框架。本项目将综合运用最优化理论、博弈论和数值分析等研究方法；以峰谷分时电价运营策略为核心，研究考虑顾客选择行为和碳排放的峰谷分时电价，可持续能源对峰谷分时电价的影响，以及分散式供应链下的峰谷分时电价这三个子课题；剖析峰谷分时电价的定价及容量投资策略；揭示顾客选择、碳排放、可持续能源和供应链结构等因素对最优策略的影响机理；探讨峰谷分时电价对电力企业、用户和环境的效用。本项目的研究成果将丰富定价理论、技术选择和容量投资理论及可持续运营的相关理论，并为电力企业实施峰谷分时电价，政府部门监管电力行业和实现节能减排提供决策支持和管理建议。

峰谷分时电价被认为是能够引导用户采取合理的用电方式从而降低高峰期用电量的有效方式之一。但是，如何更好地实施峰谷分时电价仍面临着许多问题和挑战。本项目从用户面对高峰期和非高峰期不同电力价格时用电量会发生转换的角度出发，构建峰谷分时电价的最优决策模型和理论分析框架。本项目综合运用最优化理论、博弈论和数值分析等研究方法；以峰谷分时电价运营策略为核心，研究考虑顾客选择行为和碳排放的峰谷分时电价，可持续能源对峰谷分时电价的影响，以及分散式供应链下的峰谷分时电价这三个子课题；剖析峰谷分时电价的定价及容量投资策略；揭示顾客选择、碳排放、可持续能源和供应链结构等因素对最优策略的影响机理；探讨峰谷分时电价对电力企业、用户和环境的效用。本项目的研究成果丰富了定价理论、技术选择和容量投资理论及可持续运营的相关理论，并为电力企业实行峰谷分时电价，政府部门监管电力行业和实现节能减排提供决策支持和管理建议。. 在执行本项目的三年时间内，项目负责人与海内外学者进行了密切的交流与合作。共发表或被接收了16篇学术论文，其中，15篇为SCI/SSCI检索期刊论文，13篇论文担任第一作者或通讯作者，而且包括一篇UTD期刊论文。同时，项目负责人还出版了1本相关学术专著。研究成果也受到了电力企业、咨询公司和研究所等企事业单位的肯定与高度评价。此外，基于该项目的相关研究成果，项目负责人还入选了中南财经政法大学“文澜青年学者”和湖北省“楚天学子”计划。