Optimal energy management for Microgrid with stationary and mobile storages

Wang, Yübo; Wang, Bin; Zhang, Tianyang; Nazaripouya, Hamidreza; Chu, Chi-Cheng; Gadh, Rajit

doi:10.1109/tdc.2016.7520004

Cited by 17 publications

(13 citation statements)

References 18 publications

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“…Energy storage can be viewed as a dispatchable source and controllable load in energy management systems. Since it is a challenge to balance the power supply and demand in a microgrid with its unpredictable RES generation and stochastic loads, energy storage system plays an indispensable role to provide more flexibilities for relaxing the energy management constraints and optimizing the objective function [21]. Energy storage can offer different services to facilitate microgrid energy management.…”

Section: Energy Managementmentioning

confidence: 99%

Energy Storage in Microgrids: Challenges, Applications and Research Need

Nazaripouya¹,

Chung²,

Akhil³

2019

IJESG

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This paper studies various energy storage technologies and their applications in microgrids addressing the challenges facing the microgrids implementation. In addition, some barriers to wide deployment of energy storage systems within microgrids are presented. Microgrids have already gained considerable attention as an alternate configuration in electric power systems that can operate in grid-connected mode or islanded mode. Host grid reliability, electricity rate uncertainty, electricity demand beyond installed capacity, and regulatory and market incentives are some of the drivers motivating the deployment of microgrids. Microgrids offer greater opportunities for including renewable energy sources (RES) in their generation portfolio to mitigate the energy demand reliably and affordably. However, there are still several issues such as microgrid stability, power and energy management, reliability and power quality that make microgrids implementation challenging. Nevertheless, the energy storage system is proposed as a promising solution to overcome the aforementioned challenges. Keywords: microgrid, energy storage system, microgrid stability, power and energy management, reliability and power qualityThe definition of a microgrid with respect to the size, geographic area or energy demand is not universally and uniquely stated. A broader definition of a microgrid describes it as a single controllable entity consists of interconnected loads and DER within defined electrical boundaries which operates in both grid-connected and islanded modes [1]. The features of dynamic reconfiguration and flexible operation make microgrids as a reliable and resilient source for load supplying. Microgrids can supply un-interruptible power to critical loads even during contingencies including those resulting from severe weather and natural disasters [2], [3]. In addition, microgrids play an important role in providing secure and highquality power for end users. However, design, control, and operation of microgrids are still challenging due to the RES intermittency, load profiles uncertainties, and low or lack of mechanical inertia introduced by inverter-interfaced DER. A growing body of operational experience has shown that concerns associated with operation and control of microgrids include voltage and frequency stability, reliability, and power quality, which can be addressed by incorporating energy storage into the mixed generation of the microgrid [4], [5]. Energy storage systems have been proposed as a promising solution for the operational issues of microgrids including power quality, dynamic stability, reliability, and controllability especially in the presence of RES [6]. Energy storage systems act as an energy buffer to compensate renewable intermittency, mitigate load uncertainties, and improves the microgrid stability by providing virtual inertia. The presence of energy storage in the microgrid also enhances its efficiency by managing the power flow and reducing operational losses. This paper benefiting from the accumulated ...

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Section: Energy Managementmentioning

confidence: 99%

Energy Storage in Microgrids: Challenges, Applications and Research Need

Nazaripouya¹,

Chung²,

Akhil³

2019

IJESG

Self Cite

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“…A bi-level planning method is adapted in [67,68]. The optimal allocation is done in [67] by bi-level planning taking economic constraints into consideration.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

“…Economic dispatch is considered at the lower level, by minimizing the cost of operation and management (COM) and cost of pollutant disposal (CPD), with which it determines the output power of each distributed generator (DG). In [68] two-stage stochastic optimization method is adapted to address the uncertainties in solar generation, loads and EV profiles. A comprehensive cost function is considered and the problem is formulated as a MILP problem.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Optimization Techniques for Operationand Control of Microgrids � Review

Ramprabhakar

2018

JGE

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Microgrid systems show great promise in integrating large numbers of distributed generation systems, based on renewable energy sources into future power systems. The characteristics of power generated by renewable energy sources is random, unregulated and highly unreliable, vowing to the stochastic nature of the sources like wind, solar etc. While integrating the locally generated power into grid sounds very attractive, there are many operational and planning concerns. Also, a major chunk of power generated is weather dependent, this makes an energy storage system and/or backup power generation system an imperative part of microgrids. A proper planning and designing is the first step towards integrated power. Optimization techniques justify cost of investment of a Microgrid by enabling economic and reliable usage of resources. This paper summarizes various optimization methodologies and criterion for optimization of Microgrids. Extensive study of published literature show that computational alternatives like evolutionary, heuristic and non-classical algorithms show better results when compared to other conventional methods. The study of multi-objective optimization problems shows superior performance by combining intelligent optimization algorithms with adaptive techniques.

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“…These assumptions may be cost-intensive on an operational level. In [25] the authors discussed energy management for a micro-grid with solar generation, BESS and EVs considering the stochastic nature of demand and EV mobility. The method does not consider ways to restore the confidence of stochastic forecast to improve its accuracy within a time horizon.…”

Section: Introductionmentioning

confidence: 99%

Online Building Load Management Control with Plugged-in Electric Vehicles Considering Uncertainties

Acquah

Han

2019

Energies

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Robust operation of load management control for a building is important to account for the uncertainty in demand as well as any distributed sources connected to the building. This paper discussed an online load management control solution using distributed energy storage (DES) while considering uncertainties in demand as well as DES to reduce peak demand for economic benefit. In recent years’ demand-side management (DSM) solutions using DES such as stationary energy management system (BESS) and plugged-in electric vehicles (PEV) have been popularised. Most of these solutions resort to deterministic load forecast for the day ahead energy scheduling and do not consider the uncertainties in demand and DES making these solutions vulnerable to uncertainties. This study presents an online density demand forecast, k-means clustering of PEV groups and stochastic optimisation for robust operation of BESS and PEV for a building. The proposed method accounts for uncertainties in demand and uncertainties due to mobile energy storage as presented by PEVs. For a case study, we used data obtained from an industrial site in South Korea. The verified results as compared to other methods with a deterministic approach prove the solution is efficient and robust.

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Optimal energy management for Microgrid with stationary and mobile storages

Cited by 17 publications

References 18 publications

Energy Storage in Microgrids: Challenges, Applications and Research Need

Energy Storage in Microgrids: Challenges, Applications and Research Need

Optimization Techniques for Operationand Control of Microgrids � Review

Online Building Load Management Control with Plugged-in Electric Vehicles Considering Uncertainties

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