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Coordinated Planning Strategy for Integrated Energy Systems in a District Energy Sector
IEEE Transactions on Sustainable Energy ( IF 8.8 ) Pub Date : 2019-09-13 , DOI: 10.1109/tste.2019.2941418
Wentao Yang , Weijia Liu , Chi Yung Chung , Fushuan Wen

With the ever-growing integration of diverse distributed energy resources, modern district energy sectors are transitioning into integrated energy systems (IESs), which generally consist of various energy carriers such as electric power, natural gas, and heat. Instead of modeling individual energy carriers, the emergence of IESs requires comprehensive consideration of all involved energy systems in both planning and operation phases. This paper proposes a comprehensive planning strategy for a district energy sector to address the challenges of IES planning considering the coupling of power, gas, and heat systems. The proposed planning model contains an operational module that develops a steady-state optimal multi-energy flow (OMEF) for the IES considered and a multi-stage expansion module that optimizes the investment decisions. To efficiently solve the proposed planning model, which is formulated as a mixed-integer nonlinear programming problem, an improved generalized Benders decomposition algorithm that utilizes dynamic dual multipliers to improve the convergence speed is employed. The effectiveness of the proposed planning model and the feasibility of the improved Benders decomposition algorithm are verified in case studies.

中文翻译:

区域能源部门综合能源系统的协调计划策略

随着各种分布式能源资源的不断集成,现代区域能源部门正在过渡到综合能源系统(IESs),该系统通常由各种能源载体组成,例如电力,天然气和热能。IES的出现取代了对单个能源载体的建模,需要在计划和运营阶段全面考虑所有涉及的能源系统。本文提出了一项针对区域能源部门的综合规划策略,以解决考虑电力,天然气和热力系统耦合的IES规划挑战。拟议的计划模型包含一个可为所考虑的IES开发稳态最佳多能量流(OMEF)的操作模块,以及可优化投资决策的多阶段扩展模块。为了有效地解决所提出的规划模型,该规划模型被公式化为混合整数非线性规划问题,采用了一种改进的广义Benders分解算法,该算法利用动态对偶乘法器来提高收敛速度。案例研究验证了所提计划模型的有效性以及改进的Benders分解算法的可行性。
更新日期:2019-09-13
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