Multiobjective Optimization of Droop-Controlled Distributed Generators in DC Microgrids

Dissanayake, Anushka M.; Ekneligoda, Nishantha C.

doi:10.1109/tii.2019.2931837

Cited by 48 publications

(30 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The adaptation of AC/DC hybrid microgrids is still a hot topic in the literature, since a number of promising studies have tackled the cost-related issues [39], efficient power transfer [40], and reduction in current sharing error [41,42]. The use of power electronic transformers (PET) has been proposed by [40] to facilitate efficient power transfer between multiple interconnected sub-grids in a hybrid AC/DC microgrid.…”

Section: Ac/dc Microgridmentioning

confidence: 99%

“…The use of power electronic transformers (PET) has been proposed by [40] to facilitate efficient power transfer between multiple interconnected sub-grids in a hybrid AC/DC microgrid. In an attempt to minimize the current sharing error between dispersed generation units, an optimal selection of droop coefficients for DC and AC units was studied in the DCIMG framework using metaheuristic evolutionary computation technique in [41], while a sequential quadratic programming (SQP) approach was utilized in [42]. The cost-based analysis study of a remote hybrid AC/DC microgrid was introduced, taking into consideration the reliability assessment for power delivery during the selected days of operation [39].…”

Section: Ac/dc Microgridmentioning

confidence: 99%

“…However, besides cost analysis in DCIMG, dispatch problems also accounted for emissions reductions [37,84,89,121,[145][146][147][148][149] and grid-connection possibilities [88,[150][151][152]. On the other hand, dispatch and scheduling problems could have technical objectives, such as voltage stability enhancement [57,[72][73][74][153][154][155][156], thermal losses mitigation [157,158], load curtailment reduction [85,94,[159][160][161][162][163][164], and power-sharing error minimization [38,41,42].…”

Section: Scheduling and Dispatch Problemmentioning

confidence: 99%

“…Similarly, other optimal control problems went on to design PI controllers for the secondary level control to minimize the overshoot/undershoot, rise time, settling time [46,47], and integral time absolute error (ITAE) for IBDG output voltage regulation [48][49][50][51]. Furthermore, the common bus DC voltage regulation error was also reduced considering current sharing error reduction [27,38,41] and constant charging voltage for the PV-BESS system [33]. Moreover, voltage regulation has been addressed as a multi-objective problem to maximize the voltage stability index (VSI) and minimize total voltage variations (TVV) [104][105][106]153] alongside fuel reduction objectives.…”

Section: Emissions Reductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal Allocation and Operation of Droop-Controlled Islanded Microgrids: A Review

Kreishan

Zobaa

2021

Energies

View full text Add to dashboard Cite

This review paper provides a critical interpretation and analysis of almost 150 dedicated optimization research papers in the field of droop-controlled islanded microgrids. The significance of optimal microgrid allocation and operation studies comes from their importance for further deployment of renewable energy, reliable and stable autonomous operation on a larger scale, and the electrification of rural and isolated communities. Additionally, a comprehensive overview of islanded microgrids in terms of structure, type, and hierarchical control strategy was presented. Furthermore, a larger emphasis was given to the main optimization problems faced by droop-controlled islanded microgrids such as allocation, scheduling and dispatch, reconfiguration, control, and energy management systems. The main outcome of this review in relation to optimization problem components is the classification of objective functions, constraints, and decision variables into 10, 9, and 6 distinctive categories, respectively, taking into consideration the multi-criteria decision problems as well as the optimization with uncertainty problems in the classification criterion. Additionally, the optimization techniques used were investigated and identified as classical and artificial intelligence algorithms with the latter gaining popularity in recent years. Lastly, some future trends for research were put forward and explained based on the critical analysis of the selected papers.

show abstract

Section: Ac/dc Microgridmentioning

confidence: 99%

Section: Ac/dc Microgridmentioning

confidence: 99%

Section: Scheduling and Dispatch Problemmentioning

confidence: 99%

Section: Emissions Reductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Allocation and Operation of Droop-Controlled Islanded Microgrids: A Review

Kreishan

Zobaa

2021

Energies

View full text Add to dashboard Cite

show abstract

“…The performance index are integrated as environmental selection, guided search and continuous optimization of the entire population Slow convergence, poor performance and unknown convergence behavior of each non-dominated solution in the the Pareto optimal set [112][113][114]…”

Section: Global Criterionmentioning

confidence: 99%

Review on Multi-Objective Control Strategies for Distributed Generation on Inverter-Based Microgrids

et al. 2020

View full text Add to dashboard Cite

Microgrids have emerged as a solution to address new challenges in power systems with the integration of distributed energy resources (DER). Inverter-based microgrids (IBMG) need to implement proper control systems to avoid stability and reliability issues. Thus, several researchers have introduced multi-objective control strategies for distributed generation on IBMG. This paper presents a review of the different approaches that have been proposed by several authors of multi-objective control. This work describes the main features of the inverter as a key component of microgrids. Details related to accomplishing efficient generation from a control systems’ view have been observed. This study addresses the potential of multi-objective control to overcome conflicting objectives with balanced results. Finally, this paper shows future trends in control objectives and discussion of the different multi-objective approaches.

show abstract

Stochastic optimal power flow in islanded DC microgrids with correlated load and solar PV uncertainties

Reddy

Jithendranath²,

Chakraborty

et al. 2022

Applied Energy

View full text Add to dashboard Cite

Multiobjective Optimization of Droop-Controlled Distributed Generators in DC Microgrids

Cited by 48 publications

References 38 publications

Optimal Allocation and Operation of Droop-Controlled Islanded Microgrids: A Review

Optimal Allocation and Operation of Droop-Controlled Islanded Microgrids: A Review

Review on Multi-Objective Control Strategies for Distributed Generation on Inverter-Based Microgrids

Stochastic optimal power flow in islanded DC microgrids with correlated load and solar PV uncertainties

Contact Info

Product

Resources

About