A locational Marginal Price-Based Partition Optimal Economic Dispatch Model of Multi-Energy Systems

被引:4
|
作者
Jin, Hongyang [1 ]
Teng, Yun [1 ]
Zhang, Tieyan [1 ]
Wang, Zedi [1 ]
Deng, Bofu [1 ]
机构
[1] Shenyang Univ Technol, Shenyang, Peoples R China
关键词
multi-energy systems (MES); renewable energy; locational marginal price; economic dispatch; lagrangian relaxation algorithm; ELECTRICITY MARKET; MANAGEMENT;
D O I
10.3389/fenrg.2021.694983
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The large-scale penetration of renewable energy and deeply integrated multiple energy forms pose a major challenge for the accounting and allocation process of additional adjustment cost in multi-energy system and electricity market. The variable wind power and the operating status of multi-energy systems faced by the electricity market have driven researchers towards the decision of electricity spot market with complicated pricing mechanism. This paper presents a locational marginal price-based partition optimal economic dispatch model of multi-energy system with a high proportion of renewable energy. First, a model of the additional adjustment cost of multi-energy adjustable units to improve the power grid adjustment capacity is studied based on the power balance model of multi-energy conversion and storage. In the second, to improve the effectiveness of the ESM mechanism, an optimal economic dispatch model is established, with the goal of minimizing the additional adjustment cost of multi-energy adjustable units. Moreover, according to the characteristics of the model and the mechanism of locational marginal price-based economic dispatch, a solution method based on lagrangian relaxation is proposed. The incentive compatible locational marginal price is obtained. Finally, a simulation model of multi-energy systems based on IEEE 39-nodes power system and 7-nodes natural gas system is established. And the model is based on operating data of an actual grid with high proportion of renewable energy in Northeast China. The results of the examples show that the proposed method can effectively improve the efficiency and flexibility of multi-energy system. Another advantage of the proposed method is that the capabilities of the complementary multi-energy coordination can be promoted.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Optimal Economic Dispatch of Multi-Energy System Based Rural Microgrid
    Prit, Gaurav
    Verma, Ashu
    Mishra, Sukumar
    2022 22ND NATIONAL POWER SYSTEMS CONFERENCE, NPSC, 2022,
  • [2] An ADMM- based Distributed Algorithm for Economic Dispatch in Multi-energy Systems
    Wang, Zhibin
    Zhu, Shanying
    Ding, Tie
    Ding, Tao
    Li, Fangxing
    2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2021,
  • [3] A Distributed Algorithm for Economic Dispatch Problem in Multi-energy Systems
    Huang, Jialan
    Wang, Zhibin
    Xu, Qimin
    Zhu, Shanying
    2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 7058 - 7063
  • [4] Impact of price-based demand response on market clearing and locational marginal prices
    Wu, Lei
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2013, 7 (10) : 1087 - 1095
  • [5] Decentralized Synergetic Dispatch of Interconnected Power Systems With Risk-Based Locational Marginal Price
    He Y.
    Guo J.
    Shen J.
    Guo C.
    Zhu B.
    Xu L.
    He, Yubin (11410020@zju.edu.cn), 1600, Power System Technology Press (41): : 2462 - 2468
  • [6] A Dual Splitting Method for Distributed Economic Dispatch in Multi-energy Systems
    Wang, Zhibin
    Xu, Jinming
    Zhu, Shanying
    Chen, Cailian
    IFAC PAPERSONLINE, 2020, 53 (02): : 12566 - 12571
  • [7] Optimal economic and environmental design of multi-energy systems
    Terlouw, Tom
    Gabrielli, Paolo
    AlSkaif, Tarek
    Bauer, Christian
    McKenna, Russell
    Mazzotti, Marco
    APPLIED ENERGY, 2023, 347
  • [8] A tri-level distribution locational marginal price-based demand response framework
    Pandey, Vipin Chandra
    Rawat, Tanuj
    Ospina, Juan
    Dvorkin, Yury
    Konstantinou, Charalambos
    ELECTRIC POWER SYSTEMS RESEARCH, 2025, 241
  • [9] Bi-level optimal low-carbon economic dispatch for an industrial park with consideration of multi-energy price incentives
    Gu, Haifei
    Li, Yang
    Yu, Jie
    Wu, Chen
    Song, Tianli
    Xu, Jinzhou
    APPLIED ENERGY, 2020, 262
  • [10] Multi-Energy Complementation Comprehensive Energy Optimal Dispatch System Based on Demand Response
    Yuanming Huang
    Ning Wang
    Qing Chen
    Shaohua Lin
    Haohao Wang
    Yuguo Chen
    Yunzhi Fei
    Process Integration and Optimization for Sustainability, 2023, 7 : 1157 - 1166