A Microgrid Energy Management System and Risk Management Under an Electricity Market Environment

Shen, Jingshuang; Jiang, Chuanwen; Liu, Yangyang; Wang, Xu

doi:10.1109/access.2016.2555926

Cited by 130 publications

(83 citation statements)

References 17 publications

(23 reference statements)

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“…Shen et al [81] presented a stochastic energy management model for an interconnected MG. The uncertainty level is managed using Latin hypercube sampling based on the Monte Carlo method, which generates various scenarios for the distributed resources, load, and electricity price.…”

Section: Energy Management In Microgrids Based On Stochastic Methods mentioning

confidence: 99%

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

2019

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Renewable energy sources have emerged as an alternative to meet the growing demand for energy, mitigate climate change, and contribute to sustainable development. The integration of these systems is carried out in a distributed manner via microgrid systems; this provides a set of technological solutions that allows information exchange between the consumers and the distributed generation centers, which implies that they need to be managed optimally. Energy management in microgrids is defined as an information and control system that provides the necessary functionality, which ensures that both the generation and distribution systems supply energy at minimal operational costs. This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution approaches, and simulation tools applied to both the interconnected and isolated microgrids. To manage the intermittent nature of renewable energy, energy storage technology is considered to be an attractive option due to increased technological maturity, energy density, and capability of providing grid services such as frequency response. Finally, future directions on predictive modeling mainly for energy storage systems are also proposed.

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Section: Energy Management In Microgrids Based On Stochastic Methods mentioning

confidence: 99%

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

2019

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“…Therefore, the MGs attempt to exchange the power with the upstream grid in a way that the new load curve and expected load curve match each other. It should be notified that the constraints (6) to (15) are also applied for devices inside the MMG system.…”

Section: Lf Constraintmentioning

confidence: 99%

“…Step 5:. Make the neighbor X new by a randomly small change in current solution element and check feasibility according to (6) to (15). To clarify this issue, one row of (30) is considered, and the neighbor is created in accordance with Figure 5.…”

Section: Sa Algorithmmentioning

confidence: 99%

Mitigation of distribution system net‐load ramping using multi‐microgrid system

Aliakbari

Maghouli

2019

Int Trans Electr Energ Syst

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Summary The net‐load ramping occurs when the output power of renewable energy resources is decreased simultaneously with a rise in the load during early evening hours. Thus, in this paper, the unfavorable effects of ramping are mitigated via the multi‐microgrid system without additional investment. In the proposed model, microgrids under study include micro turbine, photovoltaic, wind turbine, phosphoric acid fuel cell, energy storage system, and demand response program. The mentioned microgrids attempt to exchange power with the upstream grid at appropriate intervals by incorporating hourly dynamic penalty costs to their operational costs so as to moderate the ramping of the distribution grid load profile. The minimization of the total cost of operation is formulated for the multi‐microgrid system. As a result, it is possible to eliminate the effects of ramping using proper management of the units and exchanged power in the proposed scheme. Also, the numerical results indicated the usefulness and applicability of the proposed model through its application on a typical distribution test system.

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“…In recent years microgrids (MGs) are seen as an effective solution to increase penetration of distributed energy resources (DERs) into power system due to higher efficiency, economic impact, reliability, and better utilization of local resources 1‐4. The MG is defined as a group of DERs compromising energy storage systems (ESSs), responsive loads, and various distributed generations (DGs) such as diesel engines, micro turbines, wind turbines (WTs), photovoltaic panels (PVs), and fuel cells which are interconnected in a specific region of power system 5‐7. MGs can be operated in both grid‐connected and islanded modes, which increases the reliability of power supply 8.…”

Section: Introductionmentioning

confidence: 99%

A stochastic frequency security constrained optimization model for day‐ahead energy and reserve scheduling of islanded multi‐microgrids systems

Sarcheshmeh

Taher

Mazidi

2020

Int Trans Electr Energ Syst

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Summary Small size of microgrids (MGs), low inertia, and small scale of distributed generations, and high intermittent energy delivery of renewable generations, make the frequency security an important issue in the islanded multi‐microgrids (IMMG) systems which should be considered subject to the techno‐economic constraints of MGs. Motivated by this need, this article proposes a two‐stage stochastic optimization model for day‐ahead energy and reserve scheduling of IMMG systems. The objective of the proposed model is to minimize total operation cost of IMMG while the frequency security of system is preserved within a predefined range. To this end, the hierarchical frequency structure of IMMG system including primary, secondary, and tertiary control levels are precisely formulated in mixed‐integer linear programming format which can be efficiently solved by optimization software package. Meanwhile, to promote the proposed model, responsive loads and energy storage systems are considered in the energy and reserve scheduling problem. The proposed model is applied to a typical IMMG system to optimize energy and reserve scheduling over 24‐hr horizon. The obtained results verify that through the proposed model, the operation costs of MGs are minimized while frequency security of the system is preserved in a cost‐effective manner.

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A Microgrid Energy Management System and Risk Management Under an Electricity Market Environment

Cited by 130 publications

References 17 publications

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Mitigation of distribution system net‐load ramping using multi‐microgrid system

A stochastic frequency security constrained optimization model for day‐ahead energy and reserve scheduling of islanded multi‐microgrids systems

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