A bilayer interaction strategy for air‐conditioning load aggregators considering market‐based demand response. Issue 16 (17th December 2018)

• Record Type: Journal Article
• Authors: Zhu, Yuchao; Wang, Jianxue; Tian, Dongmeng; Sun, Chunxiao
• Is Part Of: Journal of engineering. Volume 2019:Issue 16(2019)
• Page Start: 1241
• Page End: 1246
• Publication Date: 2018-12-17
• Subjects: demand side management -- power markets -- power consumption -- load regulation -- pricing -- nonlinear programming -- load dispatching -- power system economics -- integer programming; load regulation potential -- load dispatch cost -- air‐conditioning load aggregator -- air‐conditioning load control strategies -- bilayer interaction strategy -- air‐conditioning load aggregators -- market‐based demand response -- hierarchical deregulated day‐ahead market architecture -- mixed‐integer non‐linear optimisation problem -- aggregated demand response capacity; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.8881
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : 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.