具有多重不确定性的机会受限前日随机单位承诺

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Smriti Jain, Ramesh Kumar Pachar, Lata Gidwani
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引用次数: 0

摘要

能源转型推动了可再生能源和储能技术的大规模集成。整合后的技术给系统运营商带来了多种不确定性和挑战,如机组承诺(UC)问题中的不一致性、不稳定性和经济不可行性。这就要求在确保电网可靠和经济高效运行的同时,解决 UC 问题中的多种不确定性。本文提出了一个包含多种不确定性的净负荷需求模型。利用联合机会约束方法对光伏发电、负荷预测和储能(ES)的不确定性进行建模,以解决随机提前一天的 UC 问题。机会约束用于将联合不确定性的概率限制在预定义的范围内。通过混合整数非线性编程(MINLP)求解 IEEE 39 总线系统的次日 UC 计划和成本。为验证所提模型的有效性,进行了三个案例研究。案例 1 是无不确定性的统一通信成本基础系统分析。案例 2 描述了负荷预测不确定性对 UC 的影响。在案例 3 中,研究了 PV-ES 协调运行情况下多重不确定性联合机会约束对 UC 成本和进度的影响。结果证明了所提出的净负荷需求模型在优化具有多种不确定性的系统 UC 方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Chance Constrained Day Ahead Stochastic Unit Commitment with Multiple Uncertainties

Chance Constrained Day Ahead Stochastic Unit Commitment with Multiple Uncertainties

The large scale integration of renewable energy sources and energy storage technologies is driven by energy transition. The integrated technologies pose multiple uncertainties and challenges to System operator such as inconsistency, instability, and economic infeasibility in the Unit Commitment (UC) problem. It requires addressing multiple uncertainties in UC problem while ensuring reliable and cost-effective grid operation. In this paper, a net load demand model is proposed for incorporating multiple uncertainties. Uncertainties pertaining to photovoltaic (PV) generation, load forecasts and energy storage (ES) are modeled with a joint chance constraint approach for solving stochastic day ahead UC. The chance constraint is employed to limit the probability of joint uncertainty within the predefined bounds. The next day UC schedule and costs for IEEE 39-bus system are solved by Mixed Integer NonLinear Programming (MINLP). Three case studies are performed to validate effectiveness of proposed model. Case 1 is base-system analysis of UC costs without uncertainties. Case 2 describes impacts of load forecast uncertainty on UC. In Case 3 impact of joint chance constrained multiple uncertainties on UC cost and schedule are studied with coordinated PV-ES operation. Results prove the efficacy of proposed net load demand model for optimizing system UC with multiple uncertainties.

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来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
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