Optimal Allocation of PV Generation and Battery Storage for Enhanced Resilience

Zhang, Bei; Dehghanian, Payman; Kezunovic, Mladen

doi:10.1109/tsg.2017.2747136

Cited by 168 publications

(88 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Due to numerous factors such as rapid deployment of intermittent renewable generation, growing demand to ensure higher quality electricity to end customers, and intensified public focus and regulatory oversights, safeguarding the national electric power grid and ensuring a continuous, reliable, and affordable supply of energy are among the top priorities for the electric power industry. Hence, resilience of the electricity grid and its capacity to withstand unexpected extreme events has become more and more critical for human well-being and every aspect of our economy [20][21][22].…”

Section: Power Grid Resiliencementioning

confidence: 99%

“…Higher power/energy capacity adequacy during extreme events, higher capacity accessibility (i.e. the extent of power and energy the grid can utilize from the generation sources), and higher reachability to such sources will render higher grid resilience during extreme events [21]. The concept of ''resilience'' has been quite explored in the literature in recent years.…”

Section: Power Grid Resiliencementioning

confidence: 99%

“…This approximation can significantly reduce the computational burden and programming complexity of (21) and (22). Assuming that the grid voltage is constant during a very short sampling interval, the future value of the active and reactive power can be predicted by (21). The next step will be to evaluate the effect of each voltage vector on v i in (7) and select the one which results in a minimum value of the following cost function.…”

Section: Der Control In Normal Operation and Balanced Load Change Scementioning

confidence: 99%

See 2 more Smart Citations

Advanced control solutions for enhanced resilience of modern power-electronic-interfaced distribution systems

Wang

Dehghanian

Alhazmi

et al. 2019

J. Mod. Power Syst. Clean Energy

Self Cite

View full text Add to dashboard Cite

Modern power delivery systems are rapidly evolving with high proliferation of power-electronic (PE)interfaced distributed energy resources (DERs). Compared to the conventional sources of generation, the PE-interfaced DERs, e.g., solar and wind resources, are attributed substantially different characteristics such as lower overload capability and limited frequency response patterns. This paper focuses on effective management and control mechanisms for PE-interfaced DERs in power distribution systems with high penetration of renewables, particularly under fault, voltage-sag, load variations, and other prevailing conditions in the grid. Aiming at the solutions to enhance the system performance resilience, we introduce an advanced model predictive control (MPC) based scheme to control the DER units, minimize the impact of transients and disruptions, speed up the response and recovery of particular metrics and parameters, and maintain an acceptable operation condition. The performance of the suggested control scheme is tested on a modified IEEE 34-bus test feeder, where the proposed solution demonstrates its effectiveness to minimize the system transient during faults, with an enhanced grid-edge and system-wide resilience characteristics in voltage profiles.

show abstract

Section: Power Grid Resiliencementioning

confidence: 99%

Section: Power Grid Resiliencementioning

confidence: 99%

Section: Der Control In Normal Operation and Balanced Load Change Scementioning

confidence: 99%

See 1 more Smart Citation

Advanced control solutions for enhanced resilience of modern power-electronic-interfaced distribution systems

Wang

Dehghanian

Alhazmi

et al. 2019

J. Mod. Power Syst. Clean Energy

Self Cite

View full text Add to dashboard Cite

show abstract

“…Kaushika et al [3] presented a linear programming model to optimize the combination of PV and battery storage to minimize the loss of power supply. Many researchers have investigated systems combining PV and battery storage using different procedures and approaches [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Economic trends and comparisons for optimizing grid-outage resilient photovoltaic and battery systems

et al. 2019

View full text Add to dashboard Cite

“…Constraints in this part help to reflect the resource abundance and availability, which is an important factor to be considered in the damage repair work. Constraint (10) indicates that the repair resources needed by team c to finish its assignment should not exceed its capacity limit, while constraint (11) ensures that the repair center has enough resources to serve all repair teams.…”

mentioning

confidence: 99%

Collaborative Optimization of Post-Disaster Damage Repair and Power System Operation

Zhang

Yuan

2018

Energies

View full text Add to dashboard Cite

After disasters, enhancing the resilience of power systems and restoring power systems rapidly can effectively reduce the economy damage and bad social impacts. Reasonable post-disaster restoration strategies are the most critical part of power system restoration work. This paper co-optimizes post-disaster damage repair and power system operation together to formulate the optimal repair route, the unit output and transmission switching plan. The power outage loss will be minimized, with possible small expense of damage repair and power system operation cost. The co-optimization model is formulated as a mixed integer second order cone program (MISOCP), while the AC-power-flow model, the complex power system restoration constraints and the changing processes of component available states are synthetically considered to make the model more realistic. Lagrange relaxation (LR) decomposes the model into the damage repair routing sub problem and the power system operation sub problem, which can be solved iteratively. An acceleration strategy is used to improve the solving efficiency. The proposed model and algorithm are validated by the IEEE 57-bus test system and the results indicate that the proposed model can realize the enhancement of resilience and the economic restoration of post-disaster power systems.

show abstract

Optimal Allocation of PV Generation and Battery Storage for Enhanced Resilience

Cited by 168 publications

References 31 publications

Advanced control solutions for enhanced resilience of modern power-electronic-interfaced distribution systems

Advanced control solutions for enhanced resilience of modern power-electronic-interfaced distribution systems

Economic trends and comparisons for optimizing grid-outage resilient photovoltaic and battery systems

Collaborative Optimization of Post-Disaster Damage Repair and Power System Operation

Contact Info

Product

Resources

About