A Two-stage Adaptive Robust Model for Residential Micro-CHP Expansion Planning

被引：10
作者：
Hamzehkolaei, Fatemeh Teymoori [1 ]
Amjady, Nima [1 ]
Bagheri, Bahareh [1 ]
机构：
[1] Semnan Univ, Dept Elect Engn, Semnan, Iran
来源：
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY | 2021年 / 9卷 / 04期
关键词：
Planning; Uncertainty; Cogeneration; Adaptation models; Thermal loading; Thermal factors; Predictive models; Micro combined heat and power (micro-CHP) planning; two-stage adaptive robust optimization model; block coordinate descent method; polyhedral uncertainty set; COMBINED HEAT; POWER-SYSTEMS; FUEL-CELL; GENERATION; OPTIMIZATION; ENERGY; DEMAND; OPERATION; DISPATCH; NETWORK;
D O I：
10.35833/MPCE.2021.000001
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper addresses the planning problem of residential micro combined heat and power (micro-CHP) systems (including micro-generation units, auxiliary boilers, and thermal storage tanks) considering the associated technical and economic factors. Since the accurate values of the thermal and electrical loads of this system cannot be exactly predicted for the planning horizon, the thermal and electrical load uncertainties are modeled using a two-stage adaptive robust optimization method based on a polyhedral uncertainty set. A solution method, which is composed of column-and-constraint generation (C&CG) algorithm and block coordinate descent (BCD) method, is proposed to efficiently solve this adaptive robust optimization model. Numerical results from a practical case study show the effective performance of the proposed adaptive robust model for residential micro-CHP planning and its solution method.
引用
收藏
页码：826 / 836
页数：11
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