Economic dispatch of the integrated gas and power system based on ADP under demand response

Hang Shuai, Xiaomeng Ai, Mengling Zhang, Libin Yang, Pai Li, Lingling Le, Jiakun Fang, Jinyu Wen

Research output: Contribution to journalJournal articleResearchpeer-review

3 Citations (Scopus)

Abstract

The operation of integrated gas and power system (IGPS) can significantly improve the efficiency of energy usage, and its operation optimization has received extensive attention. In this paper, an optimal energy flow optimization model of IGPS considering demand response (DR) is established, and the ADP algorithm based economic dispatch policy is proposed for the integrated systems. Firstly, the particle swarm optimization (PSO) algorithm based load curve optimization policy which aims at minimizing the DR compensation cost and peak-to-valley difference rate of load is proposed. Secondly, the IGPS operation model is simplified as a linearized optimization model and approximate dynamic programming (ADP) is adopted. Simulation analysis is performed using a Grave 6-node power system and a 14-node natural gas network. The simulation results verify the validity of the proposed model and the solution algorithm, and show that considering both sides of supply and demand of IGPS can improve the energy efficiency of the integrated energy system.
Original languageEnglish
JournalDianli Jianshe/Electric Power Construction
Volume39
Issue number11
Pages (from-to)1-9
Number of pages9
ISSN1000-7229
DOIs
Publication statusPublished - 1 Nov 2018

Keywords

  • Approximate dynamic programming
  • Demand response
  • Economic dispatch
  • Integrated gas
  • Power system

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