Development of energy management system for DC microgrid for office building:-Day Ahead operation scheduling considering weather scenarios-

Shimomachi, Kentaro; Hara, Ryoichi; Kita, Hidetoshi; Noritake, Masatoshi; Hoshi, Hidekazu; Hirose, Keikichi

doi:10.1109/pscc.2014.7038313

Cited by 22 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 6 shows the voltage profile at h 0 = 76, before and after the load shifting by the CEMS. As weather report [4], and then updated at the real-time operation by Equation (7).…”

Section: Simulation Resultsmentioning

confidence: 99%

A real-time cooperative overvoltage prevention control by a community energy management system

Xie

Hara

Kita

et al. 2016

Journal of International Council on Electrical Engineering

Self Cite

View full text Add to dashboard Cite

As clean and renewable energy, Photovoltaic (PV) systems have been developed quickly nowadays. However, high penetration of PVs would cause overvoltage problem. This paper proposes a cooperative real-time overvoltage prevention control, which is managed by a community energy management system (CEMS). The main idea is to suppress the overvoltage by managing the operation schedule of household loads facilitated by the CEMS. The scheduling by CEMS is formulated as a combinatorial nonlinear time-series scheduling optimization problem in which the profit of the whole community is maximized. A fast heuristic search method called local search method is developed for the purpose of real time control. To validate the proposed method, a simulation of one day schedule is carried out on a 20-customers distribution system model.

show abstract

“…Figure 6 shows the voltage profile at h 0 = 76, before and after the load shifting by the CEMS. As weather report [4], and then updated at the real-time operation by Equation (7).…”

Section: Simulation Resultsmentioning

confidence: 99%

A real-time cooperative overvoltage prevention control by a community energy management system

Xie

Hara

Kita

et al. 2016

Journal of International Council on Electrical Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Besides, for the sake of simplicity, the parameter E losses (t) is set as a constant, as presented in Table II, similar as in [39], where the losses are presented as a piecewise constant function. This value has been estimated by multiplying ∆t with the average power losses obtained by means of iterative simulations in the power operation range of the DERs.…”

Section: B Mathematical Formulationmentioning

confidence: 99%

Mixed-Integer-Linear-Programming-Based Energy Management System for Hybrid PV-Wind-Battery Microgrids: Modeling, Design, and Experimental Verification

Luna

Díaz

Graells

et al. 2017

IEEE Trans. Power Electron.

271

145

View full text Add to dashboard Cite

Abstract-Microgrids are energy systems that aggregate distributed energy resources, loads and power electronics devices in a stable and balanced way. They rely on energy management systems to schedule optimally the distributed energy resources. Conventionally, many scheduling problems have been solved by using complex algorithms that, even so, do not consider the operation of the distributed energy resources. This paper presents the modeling and design of a modular energy management system and its integration to a grid-connected battery-based microgrid. The scheduling model is a power generation-side strategy, defined as a general mixed-integer linear programming by taking into account two stages for proper charging of the storage units. This model is considered as a deterministic problem that aims to minimize operating costs and promote self-consumption based on 24-hour ahead forecast data. The operation of the microgrid is complemented with a supervisory control stage that compensates any mismatch between the offline scheduling process and the real time microgrid operation. The proposal has been tested experimentally in a hybrid microgrid at the Microgrid Research Laboratory in Aalborg University.

show abstract

“…Multi agent system is a novel method for solving and implementing computer software projects. Although these systems are rather new, using design methods based on agents has been one of the most successful solutions and resulted in the distributed solving systems which is considered as one of the best available systems [9,11,12]. There are two important problems in designing MAS; first is the designing of the agent and second is an environmental design for the performance and communication between the agents.…”

Section: Decentralized Power Management Strategymentioning

confidence: 99%

Decentralized Power Management of a Hybrid Microgrid Consisting of Solar Panel and Storage Device

Bandar¹,

Mozaffarilegha²

2019

EJEE

View full text Add to dashboard Cite

Energy management systems for micro grids (EMS-MG) play an important role for optimized and stable utilizations. Microgrids (MGs) have different types of resources and loads. They can be used as a basic means for achieving improved reliability and serviceability, better power quality, and enhancing the energy efficiency. Decentralized energy management systems for micro grids (DEMS-MG) play a significant role in their optimal and stable operation. In this paper, the proposed strategy for EMS has been implemented for operation of multiple sample microgrids with renewable energy resources alongside the compound power of support such as microturbine and batteries for equalizing the mismatch between power and storage of extra energy when required. The proposed strategy is characterized by concurrent determination of responsive load based on multiagent system alongside genetic algorithm for minimizing the costs related to the microgrid operation, reducing the consumed power of different types of generated loads, and optimal production of each of the generation resources and the storage device present in the microgrid.

show abstract

Development of energy management system for DC microgrid for office building:-Day Ahead operation scheduling considering weather scenarios-

Cited by 22 publications

References 7 publications

A real-time cooperative overvoltage prevention control by a community energy management system

A real-time cooperative overvoltage prevention control by a community energy management system

Mixed-Integer-Linear-Programming-Based Energy Management System for Hybrid PV-Wind-Battery Microgrids: Modeling, Design, and Experimental Verification

Decentralized Power Management of a Hybrid Microgrid Consisting of Solar Panel and Storage Device

Contact Info

Product

Resources

About