Abstract
Recent changes in the market rules, advancement in control and communication technology, and large-scale deployment of smart meters have made demand response a viable option to improve the reliability and efficiency of the power systems. Demand response is a change in electric usage by end-use customers from their normal consumption patterns in an exchange for a monetary gain. This chapter presents an overview of demand response, including the basic concept, history, control mechanisms, and the current statues of load resources participating in the wholesale market. It also summarizes the lessons learned from those regions which have provided a steady revenue resource potential to demand response participants. Finally, the future challenges for removing market barriers and coordinating a large number of load resources are identified in a future power grid where a large amount of demand response will be incorporated.
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References
Brown, T., Newell, S. A., Oates, D. L., & Spees, K. (2015). International review of demand response mechanisms. Boston: Brattle Group.
Demand response strategy. PJM interconnection, 2017.
Hurley, D, Peterson, P., & Whited, M. (2013). Demand response as a power system resource: Program designs, performance, and lessons learned in the United States. In Synapse energy economics.
Wang, C., Chatterjee, D., Li, J., & Robinson M. (2017) Price formation with evolving resource mix. Mid-Continent ISO.
Du, P., & Lu, N. (2011). Appliance commitment for household load scheduling. IEEE Transactions on Smart Grid, 2(2), 411–419.
Li, W., Du, P., & Lu, N. (2018). Design of a new primary frequency control market for hosting frequency response reserve offers from both generators and loads. IEEE Transactions on Smart Grid, 9(5), 4883–4892.
Chen, Y. (2016). Demand response resources in MISO and other RTOs. IEEE PES General Meeting.
Rahimi, F., & Ipakchi, A. (2010). Demand response as a market resource under the smart grid paradigm. IEEE Transactions on Smart Grid, 1, 82–88.
Callaway, D. S., & Hiskens, I. A. (2011). Achieving controllability of electric loads. Proceedings of the IEEE, 99(1), 184–199.
Conejo, A. J., Morales, J. M., & Baringo, L. (2010). Real-time demand response model. IEEE Transactions on Smart Grid, 1(3), 236–242.
Chassin, D. P. (2017). Multi-scale transactive control in interconnected bulk power systems under high renewable energy supply and high demand response scenarios.
Cui, W., Ding, Y., Hui, H., Lin, Z., Du, P., Song, Y., & Shao, C. (2018). Evaluation and sequential dispatch of operating reserve provided by air conditioners considering lead–lag rebound effect. IEEE Transactions on Power Systems, 33(6), 6935–6950.
Liu, C., & Du, P. (2018). Participation of load resources in day-ahead market to provide primary-frequency response reserve. IEEE Transactions on Power Systems, 33(5), 5041–5051.
Xu, Q., Ding, Y., Yan, Q., Zheng, A., & Du, P. (2017). Day-ahead load peak shedding/shifting scheme based on potential load values utilization: Theory and practice of policy-driven demand response in China. IEEE Access, 5, 22892–22901.
Du, P., Baldick, R., & Tuohy, A. (2017). Integration of large-scale renewable energy into bulk power systems. Berlin: Springer International Publishing.
Pinson, P., & Madsen, H. (2014). Benefits and challenges of electrical demand response: A critical review. Renewable and Sustainable Energy Reviews, 39, 686–699.
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Du, P., Lu, N., Zhong, H. (2019). Overview of Demand Response. In: Demand Response in Smart Grids. Springer, Cham. https://doi.org/10.1007/978-3-030-19769-8_1
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DOI: https://doi.org/10.1007/978-3-030-19769-8_1
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