Day-ahead optimal scheduling method for grid-connected microgrid based on energy storage control strategy

Kong, Xiangyu; Bai, Linquan; Hu, Qinran; Li, Fangxing; Wang, Chengshan

doi:10.1007/s40565-016-0245-0

Cited by 65 publications

(24 citation statements)

References 18 publications

(33 reference statements)

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“…To trade, share or buy energy, various 'actors' are involved in the exchange process in addition to prosumers that supply and consume energy [15][16][17]. These actors include a trader or local-grid operator that buys energy to trade at a margin [18][19][20], a producer that generates energy for sale in large quantities and consumers that rely on those media to meet their energy demand.…”

Section: Energy Trading and Sharing Conceptmentioning

confidence: 99%

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

et al. 2017

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Abstract:Transaction-based energy (TE) management and control has become an increasingly relevant topic, attracting considerable attention from industry and the research community alike. As a result, new techniques are emerging for its development and actualization. This paper presents a comprehensive review of TE involving peer-to-peer (P2P) energy trading and also covering the concept, enabling technologies, frameworks, active research efforts and the prospects of TE. The formulation of a common approach for TE management modelling is challenging given the diversity of circumstances of prosumers in terms of capacity, profiles and objectives. This has resulted in divergent opinions in the literature. The idea of this paper is therefore to explore these viewpoints and provide some perspectives on this burgeoning topic on P2P TE systems. This study identified that most of the techniques in the literature exclusively formulate energy trade problems as a game, an optimization problem or a variational inequality problem. It was also observed that none of the existing works has considered a unified messaging framework. This is a potential area for further investigation.

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Section: Energy Trading and Sharing Conceptmentioning

confidence: 99%

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

et al. 2017

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“…Hence, the central controller in the remote area is an entity that represents all MGs fairly and coordinates their operation during emergencies, such as power shortfalls, excessive generation and short-circuit faults, which have resulted in unacceptable voltage or frequency deviation. On top of the proposed SEC and independent from that, each MG has a secondary controller, which is owned by the respective operator of MG. And one of its functionalities is predicting the MG's demand and the expected generation from NDDs in various horizons, e.g., year, season, month, day, 60-min, 30-min ahead, to be able to optimally operate the MG [61][62][63][64].…”

Section: Developed Techniquementioning

confidence: 99%

Multi-level supervisory emergency control for operation of remote area microgrid clusters

Batool

Shahnia

Islam

2019

J. Mod. Power Syst. Clean Energy

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Remote and regional areas are usually supplied by isolated and self-sufficient electricity systems, which are called as microgrids (MGs). To reduce the overall cost of electricity production, MGs rely on non-dispatchable renewable sources. Emergencies such as overloading or excessive generation by renewable sources can result in a substantial voltage or frequency deviation in MGs. This paper presents a supervisory controller for such emergencies. The key idea is to remedy the emergencies by optimal internal or external support. A multi-level controller with soft, intermedial and hard actions is proposed. The soft actions include the adjustment of the droop parameters of the sources and the controlling of the charge/discharge of energy storages. The intermedial action is exchanging power with neighboring MGs, which is highly probable in large remote areas. As the last remedying resort, curtailing loads or renewable sources are assumed as hard actions. The proposed controller employs an optimization technique consisting of certain objectives such as reducing power loss in the tie-lines amongst MGs and the dependency of an MG to other MGs, as well as enhancing the contribution of renewable sources in electricity generation. Minimization of the fuel consumption and emissions of conventional generators, along with frequency and voltage deviation, is the other desired objectives. The performance of the proposal is evaluated by several numerical analyses in MATLAB Ò .

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“…Existing methods of uncertainty management in microgrids for energy scheduling can be categorized into three classes. The first class of methods formulates the energy management problem as a day-ahead scheduling problem, the solution to which is obtained by solving an offline deterministic problem using the tools of stochastic programming [9][10][11][12][13][14]. For the methods in this class, a sufficient number of operation scenarios are typically required as model inputs.…”

Section: Introductionmentioning

confidence: 99%

A retroactive approach to microgrid real-time scheduling in quest of perfect dispatch solution

Jia

Lyu

Lai

et al. 2019

J. Mod. Power Syst. Clean Energy

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As an emerging paradigm in distributed power systems, microgrids provide promising solutions to local renewable energy generation and load demand satisfaction. However, the intermittency of renewables and temporal uncertainty in electrical load create great challenges to energy scheduling, especially for small-scale microgrids. Instead of deploying stochastic models to cope with such challenges, this paper presents a retroactive approach to real-time energy scheduling, which is prediction-independent and computationally efficient. Extensive case studies were conducted using 3-year-long real-life system data, and the results of simulations show that the cost difference between the proposed retroactive approach and perfect dispatch is less than 11% on average, which suggests better performance than model predictive control with the cost difference at 30% compared to the perfect dispatch. . His current interests include power system optimization, artificial neural networks, energy system modelling, data analytics, and energy economics for renewable energy and storage systems.Zhao XU received the B.Eng., M.Eng. and Ph.D.interests include demand side, grid integration of wind and solar power, electricity market planning and management, and artificial intelligence (AI) applications.Minghua CHEN received the B.Eng. and M.S. degrees from the

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Day-ahead optimal scheduling method for grid-connected microgrid based on energy storage control strategy

Cited by 65 publications

References 18 publications

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

Multi-level supervisory emergency control for operation of remote area microgrid clusters

A retroactive approach to microgrid real-time scheduling in quest of perfect dispatch solution

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