Optimal pricing in time of use demand response by integrating with dynamic economic dispatch problem

Dehnavi, Ehsan; Abdi, Hamdi

doi:10.1016/j.energy.2016.05.024

Cited by 69 publications

(35 citation statements)

References 38 publications

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“…The user purchase intention parameters are shown in Table 1 [20]. The price elasticity coefficient is shown in Table 2 [35]. The minLP model is built on the basis of YALMIP and OPTITOLLBOX and is solved by using the solver SCIP in MATLAB (R2014a (8.3.0.532), MathWorks, Natick, MA, USA).…”

Section: Case Study and Resultsmentioning

confidence: 99%

“…In [35], the authors attempt to iteratively optimize generation scheduling and electricity pricing, but focus on the analysis of the user response model with time-of-use (TOU) price, using only simple generation cost and no detailed scheduling model of other important components in the ADN. Therefore, this paper attempts to integrate the real-time price with the source-storage-load coordination dispatch of the ADN, and realize the economic operation of the whole network while using the real-time price to guide the user's electricity consumption.…”

Section: Introductionmentioning

confidence: 99%

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Collaborative Optimal Pricing and Day-Ahead and Intra-Day Integrative Dispatch of the Active Distribution Network with Multi-Type Active Loads

et al. 2018

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Abstract:In order to better handle the new features that emerge at both ends of supply and demand, new measures are constantly being introduced, such as demand-side management (DSM) and prediction of uncertain output and load. However, the existing DSM strategies, like real-time price (RTP), and dispatch methods are optimized separately, and response models of active loads, such as the interruptible load (IL), are still imperfect, which make it difficult for the active distribution network (ADN) to achieve global optimal operation. Therefore, to better manage active loads, the response characteristics including both the response time and the responsibility and compensation model of IL for cluster users, and the real-time demand response model for price based load, were analyzed and established. Then, a collaborative optimization strategy of RTP and optimal dispatch of ADN was proposed, which can realize an economical operation based on mutual benefit and win-win mode of supply and demand sides. Finally, the day-ahead and intra-day integrative dispatch model using different time-scale prediction data was established, which can achieve longer-term optimization while reducing the impact of prediction errors on the dispatch results. With numerical simulations, the effectiveness and superiority of the proposed strategy were verified.

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Section: Case Study and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Collaborative Optimal Pricing and Day-Ahead and Intra-Day Integrative Dispatch of the Active Distribution Network with Multi-Type Active Loads

et al. 2018

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“…DRP includes different series of optimization programs inside itself and the one used in the proposed work is time-of-use (TOU) of demand response program [30][31][32]. TOU flattens the load curve by shifting some amount of load from peak time periods to the off-peak time periods which leads to minimization of total cost.…”

Section: Time-of-use Rates Of Demand Response Programmentioning

confidence: 99%

Optimal stochastic short-term thermal and electrical operation of fuel cell/photovoltaic/battery/grid hybrid energy system in the presence of demand response program

Majidi

Zare

2017

Energy Conversion and Management

105

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“…Usually, DRPs are implemented to reduce costs . In the previous works, an integrated model of the dynamic economic dispatch (DED) problem and incentive‐based DR and also price‐based DR were presented.…”

Section: Introductionmentioning

confidence: 99%

Demand response programs vs congestion and cascading line outages in smart grids

Dehnavi

Abdi²

2017

Int Trans Electr Energ Syst

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Summary Cascading line outages may result in minor or major blackouts, which are considered as a main concern in the power system operation. Usually when a line is disconnected from the grid due to any reason, other lines may fail due to the congestion. So, this procedure may cause the cascading line outages. On the other hand, the demand response programs (DRPs) can be applied as an efficient, environmental friendly, and sustainable tool in preventing the cascading line outages. In this paper, a new procedure has been presented by which the direct load control (DLC) is applied intelligently as a common DRP in order to prevent the cascading line outages. In the proposed method, first the critical lines are recognized based on the line failure distribution factors (LODFs) and generalized line outage distribution factors (GLODFs). Then, the optimal busses for implementing DRPs are appointed based on power transfer distribution factors (PTDFs). After that, by applying dynamic DC optimal power flow (DCOPF), not only the cascading line outages are prevented, but also the optimal incentives in DLC are determined simultaneously. In fact, the proposed method has significant benefits both for the customers and utility. To show the effectiveness of our proposed technique, it is applied on the IEEE 118‐bus test system. Results indicate the practical benefits of the presented method.

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Optimal pricing in time of use demand response by integrating with dynamic economic dispatch problem

Cited by 69 publications

References 38 publications

Collaborative Optimal Pricing and Day-Ahead and Intra-Day Integrative Dispatch of the Active Distribution Network with Multi-Type Active Loads

Collaborative Optimal Pricing and Day-Ahead and Intra-Day Integrative Dispatch of the Active Distribution Network with Multi-Type Active Loads

Optimal stochastic short-term thermal and electrical operation of fuel cell/photovoltaic/battery/grid hybrid energy system in the presence of demand response program

Demand response programs vs congestion and cascading line outages in smart grids

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