A Dynamic Regrouping Based Dynamic Programming Approach for Unit Commitment of the Transmission-Constrained Multi-Site Combined Heat and Power System

被引:32
|
作者
Rong, Aiying [1 ]
Luh, Peter B. [2 ]
机构
[1] Aalto Univ, Dept Mech Engn, Aalto 00076, Finland
[2] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA
基金
美国国家科学基金会;
关键词
Dynamic programming; dynamic regrouping; multi-site combined heat and power system; relaxed states; transmission-constrained generation unit commitment; ALGORITHM; OPTIMIZATION; GENERATION; MODEL; INTEGRATION; NETWORK; STORAGE;
D O I
10.1109/TPWRS.2017.2699484
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
Combined heat and power (CHP) systems offer additional advantage and flexibility for addressing power grid balance resulting from large-scale introduction of intermittent renewable energy sources (RES) in contrast to power-only systems. The dependence between heat and power production in the CHP plant can be utilized to adjust power production level to accommodate more RES. Furthermore, electricity can be transformed into heat by electric heater and heat pump to avoid starting up heat led CHP plants when RES production is abundant. This paper focuses on solving efficiently unit commitment of the interconnected multi-site CHP system without considering RES. A relaxed on/off state based dynamic programming applying sequential commitment scheme in conjunction with dynamic regrouping is used to coordinate heat and power production in each site (region) as well as power transmission across sites. Computational experiments for real-life daily scheduling demonstrate that our method generates solutions much more quickly than a standard high-performance optimizer (CPLEX) with comparable solution quality, and lays foundation for the future handling of uncertainties of intermittent RES.
引用
收藏
页码:714 / 722
页数:9
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