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

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • Aiying Rong
  • Peter B. Luh

Research units

  • University of Connecticut

Abstract

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.

Details

Original languageEnglish
Pages (from-to)714-722
Number of pages9
JournalIEEE Transactions on Power Systems
Volume33
Issue number1
Publication statusPublished - Jan 2018
MoE publication typeA1 Journal article-refereed

    Research areas

  • Dynamic programming, dynamic regrouping, multi-site combined heat and power system, relaxed states, transmission-constrained generation unit commitment, ECONOMIC-DISPATCH, OPTIMIZATION, ALGORITHM, MODEL, INTEGRATION, GENERATION, PLANTS, NETWORK, STORAGE

ID: 26845788