Conservation voltage reduction of networked microgrids

Constante-Flores, Gonzalo E.; Abillama, Joseph; Illindala, Mahesh S.; Wang, Jiankang

doi:10.1049/iet-gtd.2018.5750

Cited by 5 publications

(4 citation statements)

References 29 publications

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“…A CVR operation that is enabled by a smart grid, a multistage, multiobjective Volt/VAR control technique has been suggested in [2]. An approach for coordinated operation of networked microgrids (MGs), distributed energy resources (DERs), and volt-VAR control devices (VVO) to execute volt-VAR optimization is suggested in [3]. The authors' concept, while geared at conservation voltage reduction, may be expanded to address any additional VVO issues.…”

Section: A Literature Reviewmentioning

confidence: 99%

Investigating Impacts of CVR and Demand Response Operations on a Bi-Level Market-Clearing With a Dynamic Nodal Pricing

et al. 2023

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This paper investigates the impacts of conservation voltage reduction (CVR) on electricity prices, the local market, and technical issues in distribution networks. An increase in electricity demand is one of the key challenges for developing sustainable societies. An increase in electric consumption puts immense pressure on electricity providers, which forces them to apply for load reduction programs during peak-demand time intervals. The CVR is one of the popular methods for load reduction, but how it would impact the pricing process and electricity market at the distribution level needs further investigation.

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Section: A Literature Reviewmentioning

confidence: 99%

Investigating Impacts of CVR and Demand Response Operations on a Bi-Level Market-Clearing With a Dynamic Nodal Pricing

et al. 2023

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“…The existing voltage/frequency control strategies focus on eliminating these biases within one single microgrid [130] - [132]. The droop control is the most widely-used method to regulate the voltage and frequency based on drop characteristics of DGs, including active power-frequency properties [132] - [136], reactive power-voltage properties [137], [138], DC power-voltage characteristics [139], [140], and the interlinking converter droop characteristics between two microgrids [141].…”

Section: E Voltage and Frequency Control Strategiesmentioning

confidence: 99%

Multi-microgrid Energy Management Systems: Architecture, Communication, and Scheduling Strategies

Zhou

Zou

Chung

et al. 2021

Journal of Modern Power Systems and Clean Energy

166

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The increasing penetration of various distributed and renewable energy resources at the consumption premises, along with the advanced metering, control and communication technologies, promotes a transition on the structure of traditional distribution systems towards cyber-physical multi-microgrids (MMGs). The networked MMG system is an interconnected cluster of distributed generators, energy storage as well as controllable loads in a distribution system. And its operation complexity can be decomposed to decrease the burdens of communication and control with a decentralized framework. Consequently, the multi-microgrid energy management system (MMGEMS) plays a significant role in improving energy efficiency, power quality and reliability of distribution systems, especially in enhancing system resiliency during contingencies. A comprehensive overview on typical functionalities and architectures of MMGEMS is illustrated. Then, the emerging communication technologies for information monitoring and interaction among MMG clusters are surveyed. Furthermore, various energy scheduling and control strategies of MMGs for interactive energy trading, multi-energy management, and resilient operations are thoroughly analyzed and investigated. Lastly, some challenges with great importance in the future research are presented.

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“…CVR is a reduction in voltage to reduce active and reactive power consumption at end-use loads; it also reduces system losses to a lesser extent [33][34][35][36]. Historically, CVR has used persistent voltage reduction to reduce the annual energy consumption and/or the peak demand of distribution circuits.…”

Section: Cvr and Modified Avrmentioning

confidence: 99%

Improving primary frequency response in networked microgrid operations using multilayer perceptron‐driven reinforcement learning

et al. 2020

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Individual microgrids can improve the reliability of power systems during extreme events, and networked microgrids can further improve efficiency through resource sharing and increase the resilience of critical end-use loads. However, networked microgrid operations can be subject to large transients due to switching and end-use loads, which can cause dynamic instability and lead to system collapse. These transients are especially prevalent in microgrids with high penetrations of grid-following inverter-connected renewable energy resources, which do not provide the system inertia or fast frequency response needed to mitigate the transients. One potential mitigation is to engage the existing generator controls to reduce system voltage in response to a frequency deviation, thereby reducing load and improving primary frequency response. This study investigates the use of a reinforcement-learning-based controller trained over several switching transient scenarios to modify generator controls during large frequency deviations. Compared to previously used proportional-integral controllers, the proposed controller can improve primary frequency response while adapting to changes in system topologies and conditions.

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Conservation voltage reduction of networked microgrids

Cited by 5 publications

References 29 publications

Investigating Impacts of CVR and Demand Response Operations on a Bi-Level Market-Clearing With a Dynamic Nodal Pricing

Investigating Impacts of CVR and Demand Response Operations on a Bi-Level Market-Clearing With a Dynamic Nodal Pricing

Multi-microgrid Energy Management Systems: Architecture, Communication, and Scheduling Strategies

Improving primary frequency response in networked microgrid operations using multilayer perceptron‐driven reinforcement learning

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