Experimental Analysis of Power Quality in a Power Substation Used in a Residential and Educational Sector

The article describes the experimental measurements made at a low-voltage residential and educational power substation, in a point of common coupling. Two groups of experiments were carried out, in normal conditions and during the COVID-19 pandemic. Measurements were made using a power quality analyzer and include phase RMS voltages and line currents, total harmonic distortion and unbalance of phase voltages and line currents, neutral current, active, reactive and apparent powers, power factors and displacement power factors, Fresnel diagrams, and harmonic spectra. Measurements indicate significant differences of power quality indicators between the two measurement groups. © 2023 IEEE.

Investment Optimization and Auxiliary Decision Support System of Power Grid Construction Project Under Double Carbon Target

Due to China's novel coronavirus pneumonia and the deepening of the reform of the power grid market, the implementation and implementation of China's dual carbon policy and the current international related quality prices, the State Grid Limited by Share Ltd has proposed that "one industry is the leading force to drive four sides, all elements to develop together”, aiming at promoting the fine governance. Continuously improve quality and efficiency. Therefore, it is urgent to promote the optimization of power grid construction projects and the improvement of auxiliary decision-making system under the dual carbon goal. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

A novel COVID-19 herd immunity-based optimizer for optimal accommodation of solar PV with battery energy storage systems including variation in load and generation

The world has now looked towards installing more renewable energy sources type distributed generation (DG), such as solar photovoltaic DG (SPVDG), because of its advantages to the environment and the quality of power supply it produces. However, these sources' optimal placement and size are determined before their accommodation in the power distribution system (PDS). This is to avoid an increase in power loss and deviations in the voltage profile. Furthermore, in this article, solar PV is integrated with battery energy storage systems (BESS) to compensate for the shortcomings of SPVDG as well as the reduction in peak demand. This paper presented a novel coronavirus herd immunity optimizer algorithm for the optimal accommodation of SPVDG with BESS in the PDS. The proposed algorithm is centered on the herd immunity approach to combat the COVID-19 virus. The problem formulation is focused on the optimal accommodation of SPVDG and BESS to reduce the power loss and enhance the voltage profile of the PDS. Moreover, voltage limits, maximum current limits, and BESS charge-discharge constraints are validated during the optimization. Moreover, the hourly variation of SPVDG generation and load profile with seasonal impact is examined in this study. IEEE 33 and 69 bus PDSs are tested for the development of the presented work. The suggested algorithm showed its effectiveness and accuracy compared to different optimization techniques. © 2023 TÜBÍTAK.

Exploring the Acceptance of Smart Grid Technology in India: Role of Government Policies and Regulatory Framework

In the last few decades, technological advancements in the power sector have accelerated the evolution of the smart grid to make the grid more efficient, reliable, and secure. Being a consumer-centric technology, a lack of knowledge and awareness in consumers may lead to consumer opposition, which could imperil the grid modification process. This research aims to identify and prioritize the factors that can be considered barriers to technology acceptance for smart grid development in India. This study follows an integrated approach of literature review, AHP, and FERA. In the present work, 17 barriers have been identified and ranked on the basis of the social, technical, and economic paradigm. This study finds the impact of government policies and stakeholders' involvement in consumers' acceptance of smart grid technology and its importance towards improving the quality of life of Indians. The government should play as the main proponent. The present work will contribute to developing and upgrading the basic framework for the smart grid in a developing country like India. Copyright © 2022, IGI Global.

Public coping discourse in response to government health crisis communication

Purpose: This study aims to explore public coping strategies with government-imposed lockdown restrictions (i.e. forced compliance) due to a health crisis (i.e. COVID-19). This directly impacts the public's power, as they may feel alienated from their environment and from others. Consequently, this study explores the relationships between the public's power, quality of life and crisis-coping strategies. This is important to help governments understand public discourse surrounding perceived government health crisis communication, which aids effective policy development. Design/methodology/approach: An online questionnaire distributed via Qualtrics received 371 responses from the South African public and structural equation modelling was used to test the hypotheses. Findings: The results indicate the public's experience of powerlessness and resulting information-sharing, negative word-of-mouth and support-seeking as crisis coping strategies in response to government-imposed lockdown restrictions. Originality/value: The public's perspective on health crisis communication used in this study sheds light on adaptive and maladaptive coping strategies that the public employs due to the alienation they feel during a health crisis with government-forced compliance. The findings add to the sparse research on crisis communication from the public perspective in a developing country context and provide insights for governments in developing health crisis communication strategies. The results give insight into developing policies related to community engagement and citizen participation during a pandemic. © 2023, Melanie Wiese and Liezl-Marié Van Der Westhuizen.

A Power Supply Reliability Optimization Strategy of Shipboard Integrated Power System Equipped with Medical Load and Energy Storage System

The continuing COVID-19 pandemic around the world has raised concerns about public health security and posed a serious threat to the international shipping industry. Considering the fact that current epidemic may exist for a long time, it is necessary to set up independent epidemic prevention function zones on ships to deal with possible outbreaks. Due to the characteristics of high precision and low fault tolerance of medical devices and related equipment in epidemic prevention functional zones, they require more strict power supply quality and reliability, and may cause the deterioration of the power quality of the system. To solve this problem, the paper introduced a novel power management strategy for the shipboard medical system by power generation equipment switching process optimization, partitioning and grading of different types of loads to solve the power supply and distribution problems of the introduced ship epidemic prevention zone, and ensure a stable and reliable power supply of high-power medical equipment on the ship. © 2022 IEEE.

Improving the quality of the power supply during the period of covid-19 using plug-in electric vehicles and artificial intelligence

COVID-19, corona virus disease, has been ravaging the world since the last quarter of 2019. To address this threat, the World Health Organization (WHO) has established a list of priority medical equipment that must be used by hospitals and clinics. These equipments are in fact non-linear harmonic-producing loads that have a detrimental effect on the devices and degrade the quality of the power supply. In this paper a parallel active filter: a neuronal harmonic compensation strategy based on plug-in electric vehicles (PEVs) connected to the charging stations in the parking lot of hospitals and clinics and artificial intelligence is proposed in order to improve the quality of power supply thus protecting medical equipment in order to save lives. This strategy will be simulated in MATLAB and the results will be presented as evidence of its effectiveness. © 2022 IEEE.

Utilization of physical devices for the improvement of power quality indicators during the COVID-19 pandemic and uncoordinated integration of low carbon units

COVID-19 affected numerous sectors and changed traditional people’s behaviour. The restrictions led to a decrease in consumption in industrial and business sectors, while electricity consumption in households significantly increased. To determine the correlation between COVID-19 and power quality (PQ), consumption curves relevant for different pandemic periods are used in the analysis of multiple PQ indicators in a real-world low voltage distribution network. The hard lockdown consumption curve is used as the reference for future scenarios with a high share of low carbon (LC) units including PVs, heat pumps, and electric vehicles. Simulations show that COVID-19 negatively impacted technical conditions in distribution networks and different methods based on the utilization of physical devices are tested to mitigate disturbances. We additionally test the potential of implemented methods in the decrease of technical and financial losses. Almost all methods contribute to the decrease of network losses, which is significantly important to Distribution System Operators (DSOs) due to the recent increase in electricity prices. The final contribution of the paper is finding a correlation between the PQ disturbances and financial losses. Results show the impact of the value of voltage unbalance on network losses, while other indicators do not present a significant problem. The results of simulations and drawn conclusions could be used as a guide for DSOs facing the uncoordinated penetration of LC units. Also, setbacks of the implemented method are detected as a first step in the further improvement of technical conditions.

Analysis of power quality concerning COVID-19-related anomalies and integration of distributed energy resources

With the development of technologies and the decrease of prices, the number of end-users that decide to invest in distributed energy resources (DERs) continuously grows. Despite the improvement of financial and environmental aspects of the power system operation, a growing share of DERs can cause numerous technical challenges for distribution system operators (DSOs). Besides the integration of DERs, the novel COVID-19 disease created additional challenges for DSOs in 2020 and 2021. Due to a large number of single-phase loads and DERs, the increased consumption, the number of nonlinear loads, and power electronic devices in a distribution network, many challenges are related to power quality (PQ). In this paper, realistic case studies that consider anomalies caused by the COVID-19 pandemic and integration of DERs are presented. By using pandapower and its newly developed extension, different PQ indicators are calculated and the values of voltage magnitude, voltage unbalance factor (VUF), and total harmonic distortion (THD) are compared through different scenarios. In addition, the impact of a transformer's vector group on the PQ indicators' propagation through the observed distribution network is analyzed. In a conclusion, the optimal vector group, that successfully mitigates or at least decreases the values of PQ indicators and their propagation is proposed. © 2022 IEEE.

An improved corona-virus herd immunity optimizer algorithm for network reconfiguration based on fuzzy multi-criteria approach.

Reconfiguration of the distribution network to determine its optimal configuration is a technical and low-cost method that can improve different characteristics of the network based on multi-criteria optimization. In this paper reconfiguration of unbalanced distribution networks is presented with the objective of power loss minimization, voltage unbalance minimization, voltage sag improvement, and minimizing energy not supplied by the customers based on fuzzy multi-criteria approach (FMCA) using new improved corona-virus herd immunity optimizer algorithm (ICHIOA). The voltage unbalances and voltage sag is power quality criteria and also the ENS refers to the reliability index. Conventional CHIOA is inspired based on herd immunity against COVID-19 disease via social distancing and is improved using nonlinearly decreasing inertia weight strategy for global and local exploration improvement. The methodology is implemented as single and multi-objective optimization on 33 and 69 bus IEEE standard networks. Moreover, the performance of the ICHIOA in problem-solving is compared with some well-known algorithms such as particle swarm optimization (PSO), grey wolf optimizer (GWO), moth flame optimizer (MFO), ant lion optimizer (ALO), bat algorithm (BA) and also conventional CHIOA. The simulation results based on the FMCA showed that all criteria are improved with reconfiguration due to compromising between them while in single-objective optimization, some criteria may be weakened. Also, the obtained results confirmed the superiority of the ICHIOA in comparison with the other algorithms in achieving better criteria with lower convergence tolerance and more convergence accuracy. Moreover, the results cleared that the ICHIOA based on FMCA is capable to determine the best network configuration optimally to improve the power loss, voltage sag, voltage unbalance, and ENS in different loading conditions.