Demand response modeling considering Interruptible/Curtailable loads and capacity market programs

By H. Aalami, Mohsen Parsa Moghaddam, Gholam Reza Yousefi. 2010

786 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/882a7f2bcf84366e3dc85e729fd79b62f0ee7c7d

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In Electrical and Electronic Engineering

Citations in the corpus

The role of demand response in single and multi-objective wind-thermal generation scheduling: A stochastic programming (2014, background): “Load sensitivity with respect to the electricity price is called elasticity that is formulated as follows [19]: Eðt;hÞ 1⁄4 r0ðhÞ d0ðtÞ vdðtÞ vrðhÞ Eðt; hÞ 0 if t 1⁄4 h Eðt;hÞ 0 if tsh (1)”
Influence of Price Responsive Demand Shifting Bidding on Congestion and LMP in Pool-Based Day-Ahead Electricity Markets (2011, background): “[16] presented the impact of incentive and penalty-based demand response programs on technical and economical performance”
A day-ahead electricity pricing model based on smart metering and demand-side management (2012, background): “Reference [11] discusses the detailed process of modeling and formulating how the RTP program affects electricity demand and how the maximum benefit of consumers is achieved during a day with hourly intervals.”
Demand response in electrical energy supply: An optimal real time pricing approach (2011, background): “One of the areas expected to grow in the scope of EMs is the Demand Response (DR), as it appears as a very promising opportunity for consumers and brings several advantages for the whole system [5,6].”
Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives (2016, background): “, 2009a)? For an efficient reserve market, how should interruptible load be priced (Aalami et al., 2010)? In all these models, very simplistic representations of the electricity consumers are applied.”
A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches (2015, background): “…such as the Baltimore Gas and Electric Company and the city of New Bern, NC, USA [9] If users agree to cut down some portion of their interruptible/curtailable loads when the grid reliability is jeopardized, they will receive a certain incentive discount on electricity bills in return [20].”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “[138], and a simulation study has been conducted that reveal the strong relationship of the incentive-based program and the corresponding penalties, with the satisfaction level of both”
Demand side management of photovoltaic-battery hybrid system (2015, background): “When the PV’s output is sufficient, the highest priority is given to the usage of the PV power as shown in the period [8,16).”