Optimal design of isolated microgrid considering run-time load controllability

Wang, Zhaojian; Chen, Ying; Ke, Shengzhou; Xu, Tianjiao; Zhao, Min

doi:10.1109/tencon.2013.6718508

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…Optimization Algorithm. Considering the complexity of the optimization problem, a particle swarm optimization algorithm is adopted to calculate the optimal MCR capacity [11], and the flowchart is shown in Fig. 1.…”

Section: Methodsmentioning

confidence: 99%

Optimal Reactive Power Compensation Configuration in Distribution Power System Integrated with Small Hydro Power Plant

Hong¹,

Ren²,

Lu³

et al. 2014

AMR

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Hydropower is the most widely used renewable energy for electricity generation in China, and small hydro power plant (SHPP) is a flexible way of electricity generation in water-rich remote area. Voltage at the end of distribution network may be increased over the acceptable range due to the connection of SHPPs. Magnetic control reactor (MCR) is usually used to reduce the voltage by consuming reactive power. A mathematical model for calculation of the optimal capacity of MCR is proposed in this paper, and particle swarm optimization (PSO) is adopted to solve the optimization problem. Two cases based on the IEEE 33-bus test system are used to validate the proposed method. In the given cases, system voltage is adjusted to the acceptable range.

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Section: Methodsmentioning

confidence: 99%

Optimal Reactive Power Compensation Configuration in Distribution Power System Integrated with Small Hydro Power Plant

Hong¹,

Ren²,

Lu³

et al. 2014

AMR

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“…Likewise, a two-level planning framework considering load controllability is proposed in [75]. The planning problem objective was to maximize microgrid annual profit.…”

Section: Framework On Microgrid Planning Considering Drmentioning

confidence: 99%

Demand response integration in microgrid planning as a strategy for energy transition in power systems

Mina-Casaran

Echeverry

Lozano

2021

IET Renewable Power Gen

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For a long time, the planning of power systems has considered technical and economic aspects related to Supply Side Management. Given that this traditional planning approach is not very flexible, and due to new technological trends like the adoption of smart grids, it has become necessary for demand to play an active role in the operation of power systems. This raises the need to implement a new process for power system planning, focusing on technologies such as microgrids with Demand Side Management, which contribute to the sustainable development of communities. In this paper, a comprehensive review of microgrid planning, considering energy end‐user participation through Demand Response, is carried out. In addition, the main features and implications of Demand Response programs in microgrid planning are presented. As a contribution, in order to trigger a paradigm shift on how power systems are planned, the benefits of bottom‐up microgrid planning are presented.

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“…The second stage determines the dispatch strategy using mixed-integer linear programming (MILP), where the microgrid operation is nested into planning. The same idea is also used in [9,10]. The two-stage model combines capacity configuration optimisation and microgrid operation optimisation together, which describes microgrid planning clearly.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Microgrid scheduling is studied in [23], where the microgrid is assumed to be equipped with smart appliances to make the load shiftable. In [10], a simple controllable load model is considered in microgrid optimal design, where controllable load is switched off and on as needed. Heating/cooling systems are included in microgrid planning in [24], which are controllable to some extent.…”

Section: Introductionmentioning

confidence: 99%

Optimal expansion planning of isolated microgrid with renewable energy resources and controllable loads

Wang

Chen

Mei

et al. 2017

IET Renewable Power Generation

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As the load demand in a microgrid increases, more distributed generators (DGs) should be installed to meet the demand, which makes the microgrid expansion planning very important. To obtain the optimal expansion strategy, a tri-level expansion planning framework is presented for an isolated microgrid in this study, which is composed of demand expansion, capacity optimisation and operation optimisation. The uncertainties of load forecasting are considered. Latin hypercube sampling method is utilised to generate the load demand scenarios. Controllable load is also considered in the expansion, which can be switched off and on as required. Considering the complexity of the operation optimisation problem, particle swarm optimisation is used to obtain the planning results. Finally, numerical simulations for an isolated microgrid in Weizhou Island, Guangxi, China are utilised to validate the effectiveness of the proposed model as well as its solving algorithm.

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Optimal design of isolated microgrid considering run-time load controllability

Cited by 5 publications

References 9 publications

Optimal Reactive Power Compensation Configuration in Distribution Power System Integrated with Small Hydro Power Plant

Optimal Reactive Power Compensation Configuration in Distribution Power System Integrated with Small Hydro Power Plant

Demand response integration in microgrid planning as a strategy for energy transition in power systems

Optimal expansion planning of isolated microgrid with renewable energy resources and controllable loads

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