Impact of price-based demand response on market clearing and locational marginal prices

被引:43
作者
Wu, Lei [1 ]
机构
[1] Clarkson Univ, Dept Elect & Comp Engn, Potsdam, NY 13699 USA
基金
美国国家科学基金会;
关键词
MANAGEMENT; CONGESTION;
D O I
10.1049/iet-gtd.2012.0504
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 study quantitatively analyses the impact of price-based demand response (DR) on market clearing and locational marginal prices (LMPs) of power systems using the network-constrained unit commitment (NCUC) model. The price-based DR is formulated via linear price-sensitive demand bidding curves, while considering DR participation levels and energy payback rates. DR is formulated as load shifting as well as load curtailment by adopting different energy payback rates to represent the amount of energy shifted among different hours. The objective is to maximise the system social welfare, which includes the revenue from price-sensitive DR loads minus the energy production costs from generating units. The NCUC problem is formulated as a mixed-integer linear programming (MILP) problem and solved by the commercial MILP solver. Numerical case studies are performed to analyse the impacts of DR on unit commitment, LMPs, energy production costs and DR load payments. Results indicate that with the current market clearing mechanism which maximises the system social welfare, DR dispatch may augment LMPs by displacing less flexible generating units and/or triggering additional transmission congestions and, in turn, increase DR loads' payments, which will ultimately influence the financial stability of DR providers and the sustainable deployment of DR programs.
引用
收藏
页码:1087 / 1095
页数:9
相关论文
共 23 条
  • [1] Demand response modeling considering Interruptible/Curtailable loads and capacity market programs
    Aalami, H. A.
    Moghaddam, M. Parsa
    Yousefi, G. R.
    [J]. APPLIED ENERGY, 2010, 87 (01) : 243 - 250
  • [2] [Anonymous], 2008, The Smart Grid: An Introduction
  • [3] Real-Time Demand Response Model
    Conejo, Antonio J.
    Morales, Juan M.
    Baringo, Luis
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2010, 1 (03) : 236 - 242
  • [4] Using utility information to calibrate customer demand management behavior models
    Fahrioglu, M
    Alvarado, FL
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (02) : 317 - 322
  • [5] Designing incentive compatible contracts for effective demand management
    Fahrioglu, M
    Alvarado, FL
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (04) : 1255 - 1260
  • [6] Fu Y., 2006, IEEE PES GEN M JUN
  • [7] A multiple objective evolutionary approach for the design and selection of load control strategies
    Gomes, A
    Antunes, CH
    Martins, AG
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (02) : 1173 - 1180
  • [8] Henderson M., PESGM 2009
  • [9] SCUC With Hourly Demand Response Considering Intertemporal Load Characteristics
    Khodaei, Amin
    Shahidehpour, Mohammad
    Bahramirad, Shaghayegh
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2011, 2 (03) : 564 - 571
  • [10] Factoring the elasticity of demand in electricity prices
    Kirschen, DS
    Strbac, G
    Cumperayot, P
    Mende, DD
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (02) : 612 - 617