Optimal Load Shedding Strategy for Selçuk University Power System with Distributed Generation

Çimen, Halil; Aydin, Musa

doi:10.1016/j.sbspro.2015.06.218

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…The possibility of building a microgrid on campus was also analyzed. The article [34] presents a strategy for reducing demand so that Selcuk University Medical Faculty buildings can operate in island mode. Staying on the topic of European universities, another issue analyzed was how to reduce emissions while maintaining economic indicators and using multiple energy carriers.…”

Section: Distribution Generation At University Campuses 21 State Of Artmentioning

confidence: 99%

Investing in Distributed Generation Technologies at Polish University Campuses during the Energy Transition Era

Zagrajek,

Kłos,

Rasolomampionona

et al. 2023

Energies

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The functioning of universities during the energy transition can be quite a challenge for them. On one hand, it is necessary to pursue a sensible policy of sustainable development based on the growth of their own renewable energy sources and electricity storage facilities. The aim of such measures is to increase self-consumption and ensure partial energy self-reliance while reducing carbon dioxide emissions into the atmosphere. On the other hand, the current geopolitical situation has indicated significant problems in the energy sectors of European Union countries. From the point of view of decision-makers at universities, the main concern should be ensuring the continuity of the operation of such a facility, including ensuring the energy security of the sites under management. Thus, it is necessary to merge these two areas and consider the development of an energy management strategy on university campuses oriented towards the development of distributed generation resources. For this purpose, one of the methods of multi-criteria decision aiding the ELECTRE I was used. As a result of the analyses, an energy management strategy was established for the main campus of the Warsaw University of Technology, which simultaneously ensures energy security and sustainability efforts.

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Section: Distribution Generation At University Campuses 21 State Of Artmentioning

confidence: 99%

Investing in Distributed Generation Technologies at Polish University Campuses during the Energy Transition Era

Zagrajek,

Kłos,

Rasolomampionona

et al. 2023

Energies

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“…The quality of pupils and instructors, as well as 𝑇 𝑓 is the teacher's effort, influence the learning stage. This phenomenon is quantified as the difference in mean performance 𝐷𝑀 𝑖,𝑗 = (∑ 𝑋 𝑖,𝑗 ) 𝑛 ⁄ between the local best and the whole class, as shown in Eq (10).…”

Section: Teacher Phasementioning

confidence: 99%

“…The positions are chosen using a multi-objective function, and the NVSI is designed to optimise voltage stability while reducing demand on the power system. The best load shed for balancing generation and demand at Selçuk university medical faculty is provided in [10]. With generating shortages, a hybrid solution employing evolutionary algorithms and artificial neural networks is proposed to reduce load shed and increase voltage stability [11].…”

Section: Introductionmentioning

confidence: 99%

Optimal Load Control for Economic Energy Equilibrium in Smart Grid Using Adaptive Inertia Weight Teaching-Learning-Based Optimization

2022

IJIES

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Due to numerous operational restrictions and economic purposes, optimal load management for energy balance in the smart grid (SG) is one of the compensating responsibilities. This research provides a novel multiobjective optimization technique for attaining energy balance in SG, with the goal of avoiding fines due to excessive upstream network power extraction beyond contractual demand. Due to a lack of capacity to create the whole optimization towards the global optimum after each run, optimal load control (OLC) is a prevalent challenge. Adaptive-TLBO, the most recent variation of Teaching Learning Based Optimization (TLBO), comprises both alterations during the exploitation and exploration phases (ATLBO). Because the ATLBO is used on a modified IEEE 33-bus system, the results obtained in this mode are extraordinary. The energy balance has improved in addition to the enhancement of the voltage profile and the reduction of distribution losses. As evidenced by comparisons with PSO, basic TLBO, backtracking search algorithm (BSA), and cuckoo search algorithms, the suggested ATLBO algorithm has precedence over any other proposed algorithm (CSA).

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“…The algorithm generates two-layer outputs that decide loads to be shed on load cluster and number of loads. The method minimizes the load shed in comparison to conventional UFLS in [22]. The distribution state estimator in [23] measures the power consumption on each bus using historical data and load flow analysis.…”

Section: Introductionmentioning

confidence: 99%

A Mixed Integer Linear Programming Based Load Shedding Technique for Improving the Sustainability of Islanded Distribution Systems

et al. 2020

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In recent years significant changes in climate have pivoted the distribution system towards renewable energy, particularly through distributed generators (DGs). Although DGs offer many benefits to the distribution system, their integration affects the stability of the system, which could lead to blackout when the grid is disconnected. The system frequency will drop drastically if DG generation capacity is less than the total load demand in the network. In order to sustain the system stability, under-frequency load shedding (UFLS) is inevitable. The common approach of load shedding sheds random loads until the system’s frequency is recovered. Random and sequential selection results in excessive load shedding, which in turn causes frequency overshoot. In this regard, this paper proposes an efficient load shedding technique for islanded distribution systems. This technique utilizes a voltage stability index to rank the unstable loads for load shedding. In the proposed method, the power imbalance is computed using the swing equation incorporating frequency value. Mixed integer linear programming (MILP) optimization produces optimal load shedding strategy based on the priority of the loads (i.e., non-critical, semi-critical, and critical) and the load ranking from the voltage stability index of loads. The effectiveness of the proposed scheme is tested on two test systems, i.e., a 28-bus system that is a part of the Malaysian distribution network and the IEEE 69-bus system, using PSCAD/EMTDC. Results obtained prove the effectiveness of the proposed technique in quickly stabilizing the system’s frequency without frequency overshoot by disconnecting unstable non-critical loads on priority. Furthermore, results show that the proposed technique is superior to other adaptive techniques because it increases the sustainability by reducing the load shed amount and avoiding overshoot in system frequency.

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Optimal Load Shedding Strategy for Selçuk University Power System with Distributed Generation

Cited by 7 publications

References 9 publications

Investing in Distributed Generation Technologies at Polish University Campuses during the Energy Transition Era

Investing in Distributed Generation Technologies at Polish University Campuses during the Energy Transition Era

Optimal Load Control for Economic Energy Equilibrium in Smart Grid Using Adaptive Inertia Weight Teaching-Learning-Based Optimization

A Mixed Integer Linear Programming Based Load Shedding Technique for Improving the Sustainability of Islanded Distribution Systems

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