Study On Control Strategy Of Demand Response Based On Continuous Simulation Of Time Series

With the rapid construction of the Smart Grid, research on demand response (DR)technology has been developed quickly. As a load control technology which stems fromdemand side management, DR mainly focuses on economic incentives and directcontrol strategy to encourage customers to use less power during peak and more powerduring valley to support the system while emergency. Besides, DR can enhance energyefficiency, optimize the power consumption, alleviate the strain of power scarcity,curtail the cost of power supply and boost the asset utilization of power grid. Therefore,optimizing DR strategies is of great practice and economic significance for theregulation of the power system. In addition, due to difficulty of controlling the largescale power system with intricate structure, agent-based technology is an effectivetechnique for the modeling and analysis of complex systems. This thesis concentrateson the optimization of variant DR strategies based on the simulation with agent-basedtechnology. The main research work of this thesis is as follows:1) The background information (especially the research and practice fromdomestic and overseas institutes) are summarized. Further, several important servicesof DR for power industry are delineated, which are capacity market, energy marketsand ancillary service market. Meanwhile, the concept of DR is generalized, and thenDR’s significance for the generation, transmission, distribution and consumptionsystem is manifested. Agent-based time series simulation platform of Gridlab-D isintroduced, and electricity market are realized in this platform. Relevant discussion iscarried out to analyze the feasibility of the simulation for DR strategies.2) On the basis of Gridlab-D simulation platform, a variety of household loadmodels are constructed, including models of Heating, Ventilating and Air Conditioningsystems and water heaters. Then, two kinds of control strategies are proposed, which isramp control and double ramp control. Ramp control is applied on the occasion thattemperature differences are big between the cooling system and the heating system.Double ramp control strategy makes full use of the pre-cooling and pre-heating functionof the Heating, Ventilating and Air Conditioning systems. 3) Comparison of the fluctuations of air conditioning setpoints, indoor and outdoortemperatures with/without DR, Time of Use pricing and Real-Time pricing strategy isanalyzed. The numerical results validate DR’s contribution to power system andpeople’s daily life.