Risk averse energy management strategy in the presence of distributed energy resources considering distribution network reconfiguration: an information gap decision theory approach

Energy management systems are one of the most important components in the operation of an electric microgrid. They are responsible for ensuring the supervision of the electrical system, as well as the coordination and reliability of all loads and distributed energy resources in order for the microgrid to be operated as a unified entity. Because of that, an energy management system should be fast enough at processing data and defining control action to guarantee the correct performance of the microgrid. This paper explores the design and implementation of an energy management system deployed over a dedicated electronic device. The proposed energy management device coordinates the distributed energy resources and loads in a residential-scale islanded microgrid, in accordance with a rule-based energy management strategy that ensures reliable and safe operation of the battery-based energy storage system. A hardware-int-he-loop test was performed with a real-time simulation platform to show the operation of the electronic device

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Energy Management Strategy in Dynamic Distribution Network Reconfiguration Considering Renewable Energy Resources and Storage

IEEE Transactions on Sustainable Energy ◽

10.1109/tste.2019.2901429 ◽

2020 ◽

Vol 11 (2) ◽

pp. 662-673 ◽

Cited By ~ 16

Author(s):

Ali Azizivahed ◽

Ali Arefi ◽

Sahand Ghavidel ◽

Miadreza Shafie-khah ◽

Li Li ◽

...

Keyword(s):

Renewable Energy ◽

Energy Management ◽

Management Strategy ◽

Distribution Network ◽

Energy Resources ◽

Network Reconfiguration ◽

Renewable Energy Resources ◽

Energy Management Strategy ◽

Dynamic Distribution ◽

And Storage

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A non-cooperative game based energy management considering distributed energy resources in price-based and incentive-based demand response program

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2021-0021 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Monika Gaba ◽

Saurabh Chanana

Keyword(s):

Energy Management ◽

Cooperative Game ◽

Demand Response ◽

Energy Resources ◽

Distributed Energy Resources ◽

Distributed Energy ◽

Energy Storage Devices ◽

Electricity Cost ◽

Distributed Approach ◽

The Impact

Abstract Demand response (DR), an integral part of the smart grid, has great potential in handling the challenges of the existing power grid. The potential of different DR programs in the energy management of residential consumers (RCs) and the integration of distributed energy resources (DERs) is an important research topic. A novel distributed approach for energy management of RCs considering the competitive interactions among them is presented in this paper. The impact of participation of RC’s in price-based (PB) and incentive-based (IB) DR programs is investigated using game theory. For this, an energy management optimization problem (EMOP) is formulated to minimize electricity cost. The utility company employs electricity price as a linear function of aggregated load in the PB DR program and an incentive rate in the IBDR program. RCs are categorized into active and passive users. Active users are further distinguished based on the ownership of energy storage devices (SD) and dispatchable generation units (DGU). EMOP is modeled using a non-cooperative game, and the distributed proximal decomposition method is used to obtain the Nash equilibrium of the game. The results of the proposed approach are analyzed using different case studies. The performance of the proposed approach is evaluated in terms of aggregated cost and system load profile. It has been observed that participation in PB and IBDR program benefits both the utility and the consumers.

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An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources

IEEE Access ◽

10.1109/access.2019.2945288 ◽

2019 ◽

Vol 7 ◽

pp. 145757-145766 ◽

Cited By ~ 2

Author(s):

Bomiao Liang ◽

Weijia Liu ◽

Lei Sun ◽

Zhiyuan He ◽

Beiping Hou

Keyword(s):

Energy Management ◽

Energy Resources ◽

Distributed Energy Resources ◽

Distributed Energy ◽

Aggregated Model

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A Resilience-Based Architecture for Joint Distributed Energy Resources Allocation and Hourly Network Reconfiguration

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2019.2901538 ◽

2019 ◽

Vol 15 (10) ◽

pp. 5444-5455 ◽

Cited By ~ 6

Author(s):

Ehsan Kianmehr ◽

Saman Nikkhah ◽

Vahid Vahidinasab ◽

Damian Giaouris ◽

Philip C. Taylor

Keyword(s):

Energy Resources ◽

Distributed Energy Resources ◽

Resources Allocation ◽

Network Reconfiguration ◽

Distributed Energy

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Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant

WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS ◽

10.37394/23201.2021.20.10 ◽

2021 ◽

Vol 20 ◽

pp. 75-91

Author(s):

Qing Yang ◽

Hao Wang ◽

Taotao Wang ◽

Shengli Zhang ◽

Xiaoxiao Wu ◽

...

Keyword(s):

Power Plant ◽

Power System ◽

Energy Management ◽

Energy Resources ◽

Network Services ◽

Distributed Energy Resources ◽

Virtual Power ◽

Distributed Energy ◽

Virtual Power Plant ◽

Management Platform

The advent of distributed energy resources (DERs), such as distributed renewables, energy storage, electric vehicles, and controllable loads, brings a significantly disruptive and transformational impact on the centralized power system. It is widely accepted that a paradigm shift to a decentralized power system with bidirectional power flow is necessary to the integration of DERs. The virtual power plant (VPP) emerges as a promising paradigm for managing DERs to participate in the power system. In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP. Specifically, users can interact with each other to trade energy for mutual benefits and provide network services, such as feed-in energy, reserve, and demand response, through the VPP. To respect the users’ independence and preserve their privacy, we design a decentralized optimization algorithm to optimize the users’ energy scheduling, energy trading, and network services. Then we develop a prototype blockchain network for VPP energy management and implement the proposed algorithm on the blockchain network. By experiments using real-world data trace, we validated the feasibility and e_ectiveness of our algorithm and the blockchain system. The simulation results demonstrate that our blockchain-based VPP energy management platform reduces the users’ cost by up to 38.6% and reduces the overall system cost by 11.2%.

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