RT Journal Article
A1 Yuchao Zhu
A1 Jianxue Wang
A1 Dongmeng Tian
A1 Chunxiao Sun

PB iet
T1 A bilayer interaction strategy for air-conditioning load aggregators considering market-based demand response
JN The Journal of Engineering
VO 2019
IS 16
SP 1241
OP 1246
AB With considerable portion of air-conditioning load in total power consumption, air-conditioning load aggregators are authorised to participate in power market by aggregating large amounts of air-conditioning load with or without ice storage system. This paper studies on a bilayer interaction strategy for air-conditioning load aggregators considering market-based demand response, on the basis of a hierarchical deregulated day-ahead market architecture. In the upper layer, load aggregators submit their bids to independent system operator (ISO), after evaluating their load regulation potential. With the aim of minimising load dispatch cost, ISO optimises the dispatch schedule and informs each LA of its bid-winning capacity under a pay-as-bid pricing scheme. In the lower layer, air-conditioning load aggregator adopts a flexible control strategy to optimise the control actions in an effort to maximise its own benefits, as well as keeping indoor temperature within the temperature range in the contract and achieving the desired aggregated demand response capacity allocated by ISO in the upper layer. Thermal dynamic characteristics and corresponding power consumption characteristics of air-conditioning load control strategies are analysed. The resulting model is a mixed-integer non-linear optimisation problem. Finally, simulation verifies the feasibility and effectiveness of the proposed strategy.
K1 market-based demand response
K1 air-conditioning load aggregators
K1 hierarchical deregulated day-ahead market architecture
K1 mixed-integer non-linear optimisation problem
K1 aggregated demand response capacity
K1 load dispatch cost
K1 air-conditioning load control strategies
K1 air-conditioning load aggregator
K1 bilayer interaction strategy
K1 load regulation potential
DO https://doi.org/10.1049/joe.2018.8881
UL https://digital-library.theiet.org/;jsessionid=6nkdcpfbsp5uc.x-iet-live-01content/journals/10.1049/joe.2018.8881
LA English
SN
YR 2019
OL EN