考虑多不确定性需求响应的商业校园综合能源系统区间经济调度

IF 5.9 2区 工程技术 Q2 ENERGY & FUELS
Xuan Sheng;Shunjiang Lin;Weikun Liang;Yue Pan;Mingbo Liu
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引用次数: 0

摘要

由于柔性制冷和电动汽车充电负荷较大,需求响应(DR)被认为是商业校园综合能源系统(CCIES)带来显著经济效益的有效途径。为了最大限度地发挥DR的效益,本文提出了一个集成的DR框架,该框架包括对CCIES中冷却负荷的直接负荷控制和电动汽车充电站负荷的使用时间控制。此外,多种不确定性威胁着CCIES的安全和经济运行。为了应对这些挑战,本文建立了考虑环境温度、DR参数、管道参数和最大可用光伏输出等不确定参数的区间优化经济调度(ED)模型。为了提高求解效率,采用多层感知器和仿射算法对非线性约束进行线性化处理。利用区间的阶关系和区间的可能性度,将区间ED模型转化为双层优化模型。利用线性区间函数的极值定理,得到了内层模型最优解的解析表达式,最终将ED模型转化为可解的混合整数线性规划模型。实际CCIES的测试结果表明,DR可以提高经济性,减小目标函数和状态变量的不确定波动范围。在多种不确定波动情况下,ED结果仍能保持经济、安全运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interval Economic Dispatch for Commercial Campus Integrated Energy System with Demand Response Considering Multiple Uncertainties
Demand response (DR) is considered to be an effective way to bring significant economic benefit to the commercial campus integrated energy system (CCIES) due to the large amount of flexible cooling and electric vehicle (EV) charging loads. To maximize DR's benefits, this paper proposes an integrated DR framework that includes direct load control for cooling loads and time-of-use for EV charging station load in the CCIES. Moreover, multiple uncertainties threaten the secure and economic operation of the CCIES. To deal with these challenges, this paper establishes an interval optimization (IO) based economic dispatch (ED) model, considering the uncertain parameters, including ambient temperature, DR parameters, pipeline parameters, and maximum available PV power output. To improve the solution efficiency, the nonlinear constraints are linearized by applying multi-layer perceptron and affine arithmetic. The order relation and the possibility degrees of intervals are used to transform the interval ED model into a bi-level optimization model. The extreme value theorem of linear interval functions is used to obtain the analytical expressions of the optimal solutions of inner-level models, and the ED model is finally transformed into a solvable mix-integer linear programming model. Test results from actual CCIES demonstrate that the DR can improve the economy and reduce the uncertain fluctuation range of both the objective function and state variables. The ED result can maintain an economical and secure operation under multiple uncertain fluctuations.
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来源期刊
CiteScore
11.80
自引率
12.70%
发文量
389
审稿时长
26 weeks
期刊介绍: The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.
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