Two-level centralized and local voltage control in distribution systems mitigating effects of highly intermittent renewable generation

Nowak, S.; Wang, Liwei; Metcalfe, Malcolm S.

doi:10.1016/j.ijepes.2020.105858

Cited by 34 publications

(13 citation statements)

References 28 publications

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“…Matrix Laboratory [86][87][88][89][90][91][92][93][94][95][96][97][98] It performs numerical computations in such a manner that ensures flexibility of creating models and then using different blocks to represent the model; the tool can interoperate with Simulink tool box [87,88]. It is a sophisticated software that can model and simulate different aspects of electrical systems, including the technical, economic and control aspects of microgrids [89][90][91], optimization [92], voltage analysis, etc.…”

Section: Matlabmentioning

confidence: 99%

Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application

et al. 2021

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Energy systems modelling and design are a critical aspect of planning and development among researchers, electricity planners, infrastructure developers, utilities, decision-makers, and other relevant stakeholders. However, to achieve a sustainable energy supply, the energy planning approach needs to integrate some key dimensions. Importantly, these dimensions are necessary to guide the simulation and evaluation. It is against this backdrop that this paper focuses on the simulation and analysis approaches for sustainable planning, design, and development of microgrids based on clean energy resources. The paper first provides a comprehensive review of the existing simulation tools and approaches used for designing energy generation technologies. It then discusses and compares the traditional strategies and the emerging trends in energy systems simulation based on the software employed, the type of problem to be solved, input parameters provided, and the expected output. The paper introduces a practical simulation framework for sustainable energy planning, which is based on the social-technical-economic-environmental-policy (STEEP) model. The STEEP represents a holistic sustainability model that considers the key energy systems planning dimensions compared to the traditional techno-economic model used in several existing simulation tools and analyses. The paper provides insights into data-driven analysis and energy modelling software development applications.

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Section: Matlabmentioning

confidence: 99%

Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application

et al. 2021

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“…A two-level centralized and local voltage control has been presented for mitigating the effects of highly intermittent renewable generation on DNs [160]. The authors proposed a method for voltage control and ensuring optimal power flow (OPF) operation of radial DN by managing and controlling the VAR contributed by DERs.…”

Section: Recent Trends In Dn With Dg and Future Directions 51 Recent Research On Grid-integrated Systemsmentioning

confidence: 99%

Voltage Rise Problem in Distribution Networks with Distributed Generation: A Review of Technologies, Impact and Mitigation Approaches

Makinde

Akinyele

Amole

2021

IJEEI

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Energy demand has constantly been on the rise due to aggressive industrialization and civilization. This rise in energy demand results in the massive penetration of distributed generation (DG) in the distribution network (DN) which has been a holistic approach to enhance the capacity of distribution networks. However, this has led to a number of issues in the low voltage network, one of which is the voltage rise problem. This happens when generation exceeds demand thereby causing reverse power flow and consequently leading to overvoltage. A number of methods have been discussed in the literature to overcome this challenge ranging from network augmentation to active management of the distribution networks. This paper discusses the issue of voltage rise problem and its impact on distribution networks with high amounts of distributed energy resources (DERs). It presents different DG technologies such as those based on conventional and unconventional resources and other DERs such as battery storage systems and fuel cells. The study provides a comprehensive overview of approaches employed to curtail the issue of voltage increase at the point of common coupling (PCC), which includes strategies based on the network reinforcement methodology and the active distribution network management. A technoeconomic comparison is then introduced in the paper to ascertain the similarities and dissimilarities of different mitigation approaches based on the technology involved, ease of deployment, cost implication, and their pros and cons. The paper provides insights into directions for future research in mitigating the impact of voltage rise presented by grid-connected DGs without limiting their increased penetration in the existing power grid.

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“…It is generally known that each of the above voltage control methods has its own advantages and drawbacks, and there is no single perfect voltage regulation method [10]. Recently, there has been a growing literature focusing purely on local strategies in which resources rely only on localized measurements of the voltages' magnitude, and do not exchange information with other agents [11,12]. Such local algorithms are easy to implement in practice, but the lack of a global vision may prevent to cost-efficiently solve the voltage control problem.…”

Section: Introductionmentioning

confidence: 99%

Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks

et al. 2020

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This paper addresses the voltage control problem in medium-voltage distribution networks. The objective is to cost-efficiently maintain the voltage profile within a safe range, in presence of uncertainties in both the future working conditions, as well as the physical parameters of the system. Indeed, the voltage profile depends not only on the fluctuating renewable-based power generation and load demand, but also on the physical parameters of the system components. In reality, the characteristics of loads, lines and transformers are subject to complex and dynamic dependencies, which are difficult to model. In such a context, the quality of the control strategy depends on the accuracy of the power flow representation, which requires to capture the non-linear behavior of the power network. Relying on the detailed analytical models (which are still subject to uncertainties) introduces a high computational power that does not comply with the real-time constraint of the voltage control task. To address this issue, while avoiding arbitrary modeling approximations, we leverage a deep reinforcement learning model to ensure an autonomous grid operational control. Outcomes show that the proposed model-free approach offers a promising alternative to find a compromise between calculation time, conservativeness and economic performance.

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Two-level centralized and local voltage control in distribution systems mitigating effects of highly intermittent renewable generation

Cited by 34 publications

References 28 publications

Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application

Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application

Voltage Rise Problem in Distribution Networks with Distributed Generation: A Review of Technologies, Impact and Mitigation Approaches

Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks

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