An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids

Miao, Hong; Yu, Xiangyang; Yu, Nanpeng; Loparo, Kenneth A.

doi:10.1109/tsg.2014.2379582

Cited by 39 publications

(17 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this manuscript, the optimal operation management of CMGs is investigated that is regarded as one of the main challenges for CMGs. Several research have been conducted to fix issues relevant to technical, economic, and environmental aspects of CMGs operation . In Xiang et al, a scenario‐based robust energy management strategy is proposed considering the worst‐case amount of demanded power and renewable generation.…”

Section: Introductionmentioning

confidence: 99%

Optimal energy management of community microgrids: A risk-based multi-criteria approach

Abniki

Taghvaei²,

Mohammadi‐Hosseininejad

2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Community microgrids (CMGs) have been developing nowadays as an initiative to operate modern electric distribution systems in a more economical, reliable, and environmentally friendly manner than the existing centralized electricity grid which benefited both distribution system operator and consumers. In this paper, the optimal energy management of CMGs is formulated considering distributed energy resources and thermal and electrical demands in CMGs. The objective function of the proposed methodology consists of the total cost of CMGs operation, the total cost of energy not supplied in CMGs, and total cost of emission produced in CMGs in order to comprehensively manage the CMG operation. Moreover, the uncertainty of renewable energy resources, electricity price, and demanded power of CMGs are considered in the proposed methodology. In addition, two risk evaluation measures are employed to cope with existing risks in the CMG operation. Furthermore, a number of sensitivity studies are accomplished to investigate the effects of important parameters on the performance of the proposed approach. The effectiveness of the proposed methodology is examined on a test system.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimal energy management of community microgrids: A risk-based multi-criteria approach

Abniki

Taghvaei²,

Mohammadi‐Hosseininejad

2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Unbalance distribution optimal power flow (DOPF) that takes into account constraints on bus voltages is adopted in [9,10] for only grid-connected mode and in [11] for islanded mode and both are only for fixed loading snapshot. In [12], network and voltage harmonics constraints are included in the optimization by multiple power flow solutions at fundamental and harmonic frequencies. Two multiple frequency power flow solutions are required to calculate sensitivity of Total Harmonic Distortion of bus voltage magnitudes to injected active or reactive power at each single bus.…”

Section: Introductionmentioning

confidence: 99%

“…This constitutes a computational burden. The algorithm in [12] does not provide closed form analytical expressions of power quality and network constraints. Optimization is repeated many times until convergence.…”

Section: Introductionmentioning

confidence: 99%

“…2-The algorithm guarantees acceptable quality of power delivered to loads in terms of voltage THD in the presence of nonlinear loads. 3-Analytical expressions for power quality constraints as well as network constraints for three-phase unbalanced distribution system are given in closed convex forms without repeated optimizations and multiple power flow solutions as done in [12]. The model proposed in this research can be easily extended to include uncertainty in generation and load using Model Predictive Control (MPC) as in [13], or nonlinear prediction as adopted in [14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power Quality Constrained Optimal Management of Unbalanced Smart Microgrids During Scheduled Multiple Transitions Between Grid-Connected and Islanded Modes

Youssef

2017

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

In this paper, a novel power quality constrained optimization framework for smart microgrids with nonlinear loads is proposed for scheduled multiple transitions between grid-connected and islanded modes. Loads, generation, and energy storage are optimally scheduled to maximize the overall microgrid profit, from selling energy to grid, while satisfying network and power quality constraints. Cost of power interruption to loads, steady-state frequency deviation during islanding, and power sharing among generators are considered. Power quality and network constraints of three-phase unbalanced distribution microgrid are given in convex forms. Comprehensive simulation results are given for validating the proposed algorithm and effect of limiting total harmonic distortion on microgrid economics is investigated. Index Terms-Power Quality (PQ), Demand Response (DR) and Distribution Optimal Power Flow (DOPF). SRating of conventional generator g in KVA.max T SRating of the transformer at PCC in KVA. t n THD

show abstract

“…The microgrid (MG) has been widely applied in a wide variety of practical fields, such as islands [1,2], remote areas [3], industrial power systems [4], commercial buildings [5], residential homes [6], and university campuses [7]. This kind of technology can yield a high-reliable regional power system with favourable economy and flexible power supply capacity.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Sliding‐Mode Control in Bus Voltage for an Islanded DC Microgrid

Zhang

Wang

2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The control of bus voltage is a crucial task for the stable operation of islanded DC microgrids. To improve the DC bus voltage control dynamics and stability, this paper proposes an adaptive sliding-mode control method based on large-signal model. The slidingmode control, adaptive observation, and fix-frequency pulse width modulation technology are adopted and combined efficiently, which guarantee stable bus voltage and the constant switching frequency of closed-loop system, regardless of how the parameters vary with the variable constant-power loads and uncertainties. In addition, the reference values can be quickly tracked by the state variables using the proposed method without any additional sensors/hardware circuits. Therefore, this method is beneficial for the scalability and plug-play of the distributed generators and loads within the DC microgrids. The performance of the proposed control method has been successfully verified in simulation.

show abstract

An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids

Cited by 39 publications

References 9 publications

Optimal energy management of community microgrids: A risk-based multi-criteria approach

Optimal energy management of community microgrids: A risk-based multi-criteria approach

Power Quality Constrained Optimal Management of Unbalanced Smart Microgrids During Scheduled Multiple Transitions Between Grid-Connected and Islanded Modes

Adaptive Sliding‐Mode Control in Bus Voltage for an Islanded DC Microgrid

Contact Info

Product

Resources

About