Volt–Var Optimization and Reconfiguration: Reducing Power Demand and Losses in a Droop-Based Microgrid

Gupta, Yusuf; Nellikkath, Rahul; Chatterjee, Kishore; Doolla, Suryanarayana

doi:10.1109/tia.2021.3057008

Cited by 21 publications

(17 citation statements)

References 48 publications

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“…The optimal size and location of DG units in DCIMG considering economic objectives were investigated by [104][105][106], while MG stability objectives were considered in [107][108][109][110]. Džamarija and Keane [111] have investigated DCIMG optimal wind turbine (WT) allocation impact on renewable energy curtailment reduction as well as the maximization of net energy export to transmission networks.…”

Section: Allocation Problemmentioning

confidence: 99%

“…Due to the many benefits a radial network topology offers compared to a meshed structure in terms of design simplicity, low implementation cost, and ease of protection, almost all reconfiguration problems in DCIMG often insist on some sort of radiality constraint where the radial topology of the network should remain intact before and after tie switches opening or closing [109,110,[114][115][116][117][118]. Reconfiguration of DCIMG can have a notable impact on MG stability margin minimization.…”

Section: Reconfiguration Problemmentioning

confidence: 99%

“…Hence, the authors in [115] used a social-based metaheuristic technique to achieve optimal stability by means of network reconfiguration, while [116] relied on a physics-inspired optimization method to obtain the same outcome. Furthermore, reducing the coupling of power to divide multiple microgrids into clusters was another target for DCIMG reconfiguration [99,119], as were the distribution line losses' reduction [109,110,118] as well as maximizing the number of loads served [114,117,120].…”

Section: Reconfiguration Problemmentioning

confidence: 99%

“…Conversely, voltage deviation objectives could also be embedded within other stability indices targets such as the operating risk index [137], system vulnerability index [116], security margin index [57], and energy conservation index [110].…”

Section: Emissions Reductionmentioning

confidence: 99%

“…Losses reduction is another classical objective for many OPF problems in distribution networks. Usually, power losses are considered as the reduction in distribution lines' resistive and reactive current components, thus reducing active and reactive losses in allocation of DG units' problems [109,110] or EDP problems [157,158]. Occasionally, energy losses are capped to a certain limit, as presented by [86], in contrast with the typical thermal limits constraint seen in most DCIMG optimization studies.…”

Section: Losses Reductionmentioning

confidence: 99%

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

Kreishan

Zobaa

2021

Energies

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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.

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