This paper establishes a centralized model to activate residential demand response in order to improve distribution network reliability. The model aims at minimizing the damage cost imposed by load curtailments following occurrence of unexpected events. In this model, distribution system operator (DSO) and responsive customers have already signed a contract authorizing the DSO alters the operation of responsive appliances whenever system reliability is jeopardized. The model addresses consumers’ preferences and guarantees that the operation of appliances is displaced within the bounds defined by the owners. Once an unexpected event occurs, the DSO commits responsive appliances to avoid likely violations in the network operational limits and costly load curtailments. The proposed model is mathematically formulated in the form of mixed integer linear programming (MILP) and its capability is depicted via applying to a real-world distribution network with some residential consumers. The comparison of service reliability indices after and before utilizing demand response potentials illustrates the effectiveness of the model.
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Kabirifar, M., Fotuhi-Firuzabad, M., & Safdarian, A. (2021). Residential Demand Response Coordination for Distribution Network Reliability Enhancement. Scientia Iranica, (), -. doi: 10.24200/sci.2021.57163.5095
Milad Kabirifar; Mahmud Fotuhi-Firuzabad; Amir Safdarian. "Residential Demand Response Coordination for Distribution Network Reliability Enhancement". Scientia Iranica, , , 2021, -. doi: 10.24200/sci.2021.57163.5095
Kabirifar, M., Fotuhi-Firuzabad, M., Safdarian, A. (2021). 'Residential Demand Response Coordination for Distribution Network Reliability Enhancement', Scientia Iranica, (), pp. -. doi: 10.24200/sci.2021.57163.5095
Kabirifar, M., Fotuhi-Firuzabad, M., Safdarian, A. Residential Demand Response Coordination for Distribution Network Reliability Enhancement. Scientia Iranica, 2021; (): -. doi: 10.24200/sci.2021.57163.5095