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Extended Kalman filter-based approach for Nodal pricing in active distribution networks
(IEEE, 2020-05-08)
- article
This article presents an analytical approach based on Extended Kalman Filter (EKF) for nodal pricing in distribution networks containing private distributed generation (DG). An appropriate nodal pricing policy can direct ...
Decision tree analysis to identify harmful contingencies and estimate blackout indices for predicting system vulnerability
(Elsevier, 2020-01-01)
- article
Cascading failure is the main mechanism for progressing large blackouts in power systems. Following an initial event, it is challenging to predict whether there is a potential for starting cascading failure. In fact, the ...
Decentralised demand response market model based on reinforcement learning
(The Institution of Engineering and Technology, 2020-09-16)
- article
A new decentralised demand response (DR) model relying on bi-directional communications is developed in this study. In this model, each user is considered as an agent that submits its bids according to the consumption ...
Optimal day-ahead scheduling and operation of the prosumer by considering corrective actions based on very short-term load forecasting
(IEEE, 2020-04-30)
- article
Energy management systems (EMSs) play an important role in the optimal operation of prosumers. As an essential segment of each EMS, the load forecasting (LF) block enhances the optimal utilization of renewable energy sources ...
Optimal power management of dependent microgrid considering distribution market and unused power capacity
(Elsevier, 2020-06-01)
- article
This study presents an optimal power management for a microgrid (MG) in distribution market environment. The MG operator is able to have interactions with the distribution market operator (DMO) and adjacent MG (AMG) operator ...
Demand Response and Flexible Management to Improve Microgrids Energy Efficiency with a High Share of Renewable Resources
(Elsevier, 2020-12-01)
- article
Energy and social welfare management of smart buildings have been influenced by cooling systems. Although the combination of cooling systems in the smart grid has stimulated serious discussions over the last decade, its ...
Optimal Day-Ahead Self-Scheduling and Operation of Prosumer Microgrids Using Hybrid Machine Learning-Based Weather and Load Forecasting
(IEEE, 2020-08-26)
- article
Prosumer microgrids (PMGs) are considered as active users in smart grids. These units are able to generate and sell electricity to aggregators or neighbor consumers in the prosumer market. Although the optimal scheduling ...
Optimal management of demand response aggregators considering customers' preferences within distribution networks
(Institution of Engineering and Technology (IET), 2020-12-04)
- article
In this paper, a privacy-based demand response (DR) trading scheme among end-users and DR aggregators (DRAs) is proposed within the retail market framework and by Distribution Platform Optimizer (DPO). This scheme aims to ...
Assessing the benefits of capacity payment, feed-in-tariff and time-of-use program on long-term renewable energy sources integration
(Institution of Engineering and Technology (IET), 2019-12-02)
- article
Recently, demand response programmes (DRPs) have captured great attention in electric power systems. DRPs such as time-of-use (ToU) programme can be efficiently employed in the power system planning to reform the long-term ...
Reinforcement learning method for plug-in electric vehicle bidding
(Institution of Engineering and Technology (IET), 2019-12-02)
- article
This study proposes a novel multi-agent method for electric vehicle (EV) owners who will take part in the electricity market. Each EV is considered as an agent, and all the EVs have vehicle-to-grid capability. These agents ...