Abstract-This paper sets forth a novel intelligent residential air-conditioning (A/C) system controller that has smart grid functionality. The qualifier "intelligent" means the A/C system has advanced computational capabilities and uses an array of environmental and occupancy parameters in order to provide optimal intertemporal comfort/cost trade-offs for the resident, conditional on anticipated retail energy prices. The term "smartgrid functionality" means that retail energy prices can depend on wholesale energy prices. Simulation studies are used to demonstrate the capabilities of the proposed A/C system controller.
This study investigates the effects of dynamic-price retail contracting on end-to-end power system operations. Performance is evaluated by means of carefully defined metrics for system stability, market efficiency, and market participant welfare. The study is carried out for an Integrated Retail and Wholesale (IRW) Test Case for which households have smart (price-responsive) air-conditioning (A/C) systems. A simplified version of the IRW Test Case with a directly postulated linear household demand curve is first used to derive, analytically, a set of necessary and sufficient conditions for system stability under dynamic-price retail contracting. A key finding is that dynamicprice retail contracts induce braided cobweb dynamics consisting of two interwoven cycles for power and price outcomes that can exhibit point convergence, limit-cycle convergence, or divergence depending on a small set of structural parameters. Outcomes are then reported for a dynamic welfare sensitivity study undertaken using the full IRW Test Case with smart household A/C systems. One surprising finding is that dynamic-price retail contracts with a positive price mark-up result in worse welfare outcomes for generators and household residents than flat-rate retail contracts for treatments exhibiting convergent cobweb dynamics.
Abstract-This paper discusses the development of an agentbased test bed permitting the integrated study of retail and wholesale power markets operating over realistically rendered transmission and distribution systems. A key issue to be addressed using this test bed is the dynamic effect of increased penetration of consumer-owned distributed energy resources, such as PV generation, particularly when coupled with increased price-sensitivity of demand as realized through demand response, demand dispatch, and/or price-sensitive demand bidding.
Abstract-This paper describes a computational platform for studying the effects of price-responsive residential demand for air-conditioning (A/C) on integrated retail and wholesale power market operations. The physical operations of the A/C system are represented by means of the physics-based equivalent thermal parameter model. Residential A/C energy usage levels are determined by means of a stochastic dynamic-programming optimization in which the daily comfort attained by the resident is optimally traded off against his daily energy costs, conditional on retail energy prices, environmental conditions, and A/C operational constraints. An example is provided to illustrate the dynamic feedback loop connecting residential A/C load, the energy prices determined at wholesale conditional on A/C load, and the retail energy prices offered to residential A/C consumers by wholesale energy buyers.
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