System Level Research Articles

Healthy Aging in Menopause: Prevention of Cognitive Decline, Depression and Dementia through Physical Exercise

The aging of the global population is a significant and complex phenomenon with far-reaching implications for healthcare systems and society. By 2030, it is projected that the number of individuals over the age of 65 will increase by nearly 1 billion, largely due to advancements in healthcare and improvements in quality of life. Aging is a multifaceted process that encompasses a wide array of changes, spanning from the cellular level to the intricate physiological systems of the human body. At the central nervous system level, aging represents a major risk factor for conditions such as depression and cognitive impairment, which are likely linked to neuroinflammatory processes and can potentially lead to more severe dementias, including Alzheimer’s disease (AD). The higher prevalence of AD in women compared to men has led to speculation that the onset of menopause and associated phenomena, particularly the decline in estrogen levels, may play a role in the development of the disease. Furthermore, research has shown that physical exercise confers both physical and mental health benefits to older adults, with women potentially experiencing the greatest advantages. Understanding the multifaceted nature of aging and its implications for health will ensure that older adults receive the support and care essential for maintaining their health and quality of life.

Ensuring sustainable development by prioritizing national economic interests

Aim. To develop recommendations on the formation of a national model of sustainable development of the Russian economy based on the identification of its key vectors, components in the conditions of external and internal shocks and changes caused by the transformation of strategic guidelines for sustainable development.Objectives. To analyze the peculiarities of the implementation of the global concept of sustainable development of the United Nations (UN) under the influence of deglobalization processes; to substantiate the need to transform the established foundations of sustainable development of economic systems in order to ensure the national economic interests of Russia; to propose the author’s approach to the formation of the structure and content of the national model of sustainable development of economic systems; to build a scheme of interaction between different levels of the economic system, ensuring the development of the national model of sustainable development of economic systems.Methods. In the course of the research we applied general scientific methods and techniques: analysis and synthesis, generalization of practical experience, expert assessments, comparison, abstraction and concretization, monitoring, modeling.Results. Based on the analysis of modern processes of deglobalization, the necessity of changing the structure and content of the concept of sustainable development of the Russian economy in the conditions of external shocks caused by the transformation of the global agenda of sustainable development was substantiated. The author’s approach to the formation of the structure and content of the national model of sustainable development of economic systems is proposed, which supplements the current triad of sustainable development (economy, ecology and social sphere) with innovation and institutional components and is scalable to the meso(regions) and micro-level (enterprises). The structure of the model sets socio-economic security, innovation security and the quality of the institutional environment in the conditions of external and internal shocks as controllable parameters, focusing on the creation of conditions for convergent convergence of meso-level systems. The scheme of organization of interaction between macro-, mesoand microlevels of the economic system is constructed, in which at the macrolevel the foundations of sustainable development of the country’s economy on the basis of national interests are set, management and control of mechanisms of sustainable development of economic systems of other levels are organized, and at the mesolevel the multiplier effect is provided for in the implementation of economic mechanisms of interaction of all elements of the regional ecosystem; the key task of the microlevel is the implementation of effective management of the regional ecosystem.Conclusions. Sustainable development of the Russian economy in the current conditions of global challenges is a complex task, the solution of which requires a systemic and holistic approach based on the prioritization of national economic interests. The proposed model, which determines the general guidelines at the macro level, suggests the organization of interaction of all three levels of the economy (macro-, mesoand micro-) with the provision of multiplier effect at the meso level, which requires the elaboration of adaptation mechanisms to the conditions of regional ecosystems and the specifics of business entities, suggests the continuation of the study.

GP access for inclusion health groups: perspectives and recommendations.

General practice has seen the widespread adoption of remote consulting and triage systems. There is a lack of evidence exploring how inclusion health populations have been impacted by this transformation. This study aimed to explore the post-pandemic GP access for inclusion health populations, through the lens of those with lived experience, and identify practical recommendations for improving access for this population. A mixed-methods study exploring the direct experience of people from inclusion health groups trying to access GP care in 13 practices in east London. A mystery shopper exercise involving 39 in-person practice visits and 13 phone calls were undertaken. The findings were reflected on by a multidisciplinary stakeholder group, which identified recommendations for improvements. Only 31% of the mystery shopper visits (n = 8) resulted in registration and the offer of an appointment to see a GP for an urgent problem. None of the mystery shoppers was able to book an appointment over the phone but n = 10/13 felt that they would be able to register and make an appointment if they followed the receptionist's instructions. Most mystery shoppers felt respected, listened to, and understood the information provided to them. Just under half of the practices (46%, n = 6) received positive comments on how accessible and supportive their spaces felt. Practice- and system-level recommendations were identified by the stakeholder group. Ongoing GP access issues persist for inclusion health populations. We identified practice- and system-level recommendations for improving access for this vulnerable population.

A Two-Generation, Early Childhood Advanced Primary Care Model.

It is well recognized that early experiences produce long-term impacts on health outcomes, yet many children are at risk of not achieving their full potential because of health and service disparities related largely to poverty and racism. Although many pediatric primary care (PPC) models address these needs, most are isolated, add-on efforts that struggle to be scalable and sustainable. We describe 3-2-1 IMPACT (Integrated Model for Parents and Children Together), an initiative to transform the model of PPC delivered within New York City Health + Hospitals, the largest public hospital system in the United States, to address the full range of child and family needs in early childhood. Taking advantage of the frequent contact with PPC in the early years and linking to prenatal services, the model assesses family mental, social, and physical health needs and offers evidence-based parenting supports and integrated mental health services. Launching and sustaining the model in our large health system has required coalition building and sustained advocacy at the state, city, and health system levels. Long-term sustainability of the IMPACT model will depend on the implementation of early childhood-focused advanced payment models, on which we have made substantial progress with our major contracted Medicaid managed care plans. By integrating multiple interventions into PPC and prenatal care across a large public-healthcare system, we hope to synergize evidence-based and evidence-informed interventions that individually have relatively small effect sizes, but combined, could substantially improve child and maternal health outcomes and positively impact health disparities.

Risk assessment for industrial control systems based on asymmetric connection cloud and Choquet integral

Once industrial control systems are targeted by cyber-attacks, the consequences can be severe, including asset loss, environmental pollution, and public security risks. Risk assessment is an important way to ensure that industrial control systems operate efficiently, steadily and safely. The purpose of this paper is to develop a risk assessment model for industrial control systems based on asymmetric connection cloud and Choquet integral, which fully takes into account the fact that values of risk indicators are often fuzzy, random, asymmetrically distributed in finite intervals, and there are interactions among different indicators. To do so, we first establish a risk assessment index system to ensure the full reflection of availability, integrity, and confidentiality in the results of risk assessment for industrial control systems. Then we establish classification standards for each evaluation indicator based on the importance of assets, vulnerabilities, and threats in evaluating the risk of industrial control systems. Next we develop a risk assessment model based on asymmetric connection cloud and Choquet integral to determine the risk level of industrial control systems. In the following, an example is provided to demonstrate the feasibility and reliability of this proposed model. The experimental results have demonstrated a high level of credibility in assessing cyber-attacks by the proposed model, indicating its potential for analyzing the current security and risk posture of industrial control systems.

PENGARUH PEMAHAMAN PENGELOLAAN KEUANGAN, SISTEM AKUNTANSI KEUANGAN DAERAH, TERHADAP KINERJA PEMERINTAH DAERAH KABUPATEN ENDE

The aim of this research is to determine the effect of understanding the financial management of the regional financial accounting system on the performance of the Ende Regency Regional Government. The population in this study was the Head of Section, Secretary and Treasurer for Finance, totaling 159. The sampling technique used purposive sampling, namely the Head of Section, Secretary and Treasurer for Finance in SKPD Ende Regency, totaling 60 people. This type of research uses the type of causality research. This study uses primary data, namely a questionnaire. Data were analyzed using multiple regression analysis which was processed through 1MB SPSS Statistikcever 25. The results of this study indicate that: (1) Understanding of financial management has a significant positive effect on the performance of the local government of Ende Regency. This can be shown by the coefficient value of the variable understanding of financial management of 0.202 with tcount > ttable (4.808> 2.202) and a significant level of understanding of financial management is 0.000 <0.05. (2) The regional financial accounting system has a significant positive effect on the performance of the local government of Ende Regency. This can be shown by the variable coefficient of the regional financial accounting system of 2.239 with tcount > ttable (2.239> 2.002) and the significant level of the regional financial accounting system is 0.029 <0.05. Simultaneously, the variable understanding of financial management and regional financial accounting systems on local government performance is 29.4 while the remaining 70.6% is influenced by other variables not included in the study.

The influence of increasing mineral fertilizer application on nitrogen leaching of arable land and grassland—results of a long-term lysimeter study

IntroductionDespite various efforts to reduce nitrogen leaching from agricultural land, the permissible nitrate concentrations in groundwater have often been exceeded in the past. Intensive farming is often seen as the cause of the deterioration in water quality. Therefore, the present lysimeter study aimed to quantify nitrogen (N) leaching at different N fertilization levels for the agricultural land use systems of arable land and grassland to derive suitable management measures for improving groundwater quality.MethodsThe effects of three different of mineral fertilization treatments (50%, 100%, and 150%) in arable land and grassland use on four distinct soil types (loamy sand, sand, loam, loess) concerning seepage formation, nitrogen concentrations, nitrogen loads, dry matter yields and nitrogen balances were tested. The study was conducted at the lysimeter facility of the Helmholtz Centre of Environmental Research – UFZ at Falkenberg (northeast Germany). Twenty-four non-weighable lysimeters with a surface area of 1 m² and a depth of 1.25 m were managed as grassland and arable land with three different fertilization treatments since 1985.Results and DiscussionFor arable land use, N leaching differed between the studied soil types, with the highest N loads from the sand (36.6 kg ha–1 yr–1 ) and loamy sand (30.7 kg ha–1 yr–1 ) and the lowest N loads from loess (12.1 kg ha–1 yr–1) and loam soil (13.1 kg ha–1 yr–1). In contrast to grassland use, a reduction of N fertilization level by 50 % did not result in reduced N leaching for arable land, whereas a maximal 29% reduced dry matter yields was observed. An increase of N fertilization by 50 % did not cause significant enhanced N leaching at arable land use. Soil-and management-related factors (soil type, texture, soil tillage, crop rotation, and others) mask the effect of increased N fertilization rates in arable land using lysimeters. For arable land use, a reduction of N fertilizer levels as the only measure was insufficient to reduce NO3– leaching, and other strategies besides N fertilization levels are required to improve groundwater quality. Measures should be targeted to reduce N losses by mineralization processes.

Experiences in Improving the Quality of Community-Based Fever Management from Three Malaria-Endemic African Countries.

The WHO affirms that trained, supervised, and supported community health workers (CHWs) can deliver high-quality health services effectively and has called for documentation of enabling factors, needs, and implementation strategies of successful CHW programs. In response, the U.S. President's Malaria Initiative Impact Malaria Project conducted a study to document implementation approaches, best practices, and lessons learned for quality improvement (QI) of community-based fever management in Madagascar, Malawi, and Mali. The team conducted 10 key informant interviews (KIIs) with individuals at national, regional, and district levels using an open-ended interview guide tailored to each level, and a desk review of documents and materials related to community-based QI. Each country's community health landscape and QI approaches were summarized into four categories identified during the KIIs (training, supervision, coaching/mentoring, and review meetings) and compared. Results found that Madagascar, Malawi, and Mali all had well-defined community health strategies that include QI, but countries could not extend their full package of community-based QI approaches to all CHWs as a result of limited human and financial resources. Vertical funding for health programs limits the scope and coverage of QI approaches, especially at the community level. Recommendations from key informants for strengthening community-based QI included integrating QI approaches to improve cost efficiency, to define roles and responsibilities more clearly, to engage communities and all health system levels in implementation, and to digitize QI tools. Increased financial and skilled human resources are needed for community-based QI activities to achieve their intended effect.

Development of a distributed group control strategy for pumping well groups connected by multisource DC microgrids

Due to the alternating loads on pumping units and the integration of new energy sources, multisource DC microgrid pumping unit well groups experience increased fluctuations in voltage and power as well as superimposed peak and valley values. This work presents a distributed control strategy for pumping unit well groups on a multisource DC microgrid based on the weighted moving average algorithm. A centralized control program is implanted in the RTU of the single-well controller of each pumping unit, and communication with each well is realized via SCADA and multicast communication, resulting in a distributed well group system. The real-time power values of the pumping well group are calculated by grouping the power values, and each group is weighted using the total power fluctuation threshold of the well group as the control target. Then, a weighted moving average algorithm is used to predict the next power value and form a table of predicted real-time power spectra. According to the power values in the community power spectrum table, the inverter frequency is proportionally adjusted downwards to reach the power peak before deceleration; after the power peak is crossed, the frequency is increased in the same way to reach the power valley before acceleration. Finally, the peak and valley power values of the bus system level off and further learn to reach the set impulse; ultimately, a stable impulse is formed. In laboratory testing and field application in the Shengli Oilfield XIN-11 block, the group control software module effectively suppressed the active power peak and valley values and voltage fluctuations of the bus system, the active power fluctuation rate range decreased by more than 70%, and the DC bus voltage fluctuation range decreased by more than 80%; moreover, the active power decreased by approximately 6% without additional hardware costs.

Determinants of obesity in Latin America.

Obesity rates are increasing almost everywhere in the world, although the pace and timing for this increase differ when populations from developed and developing countries are compared. The sharp and more recent increase in obesity rates in many Latin American countries is an example of that and results from regional characteristics that emerge from interactions between multiple factors. Aware of the complexity of enumerating these factors, we highlight eight main determinants (the physical environment, food exposure, economic and political interest, social inequity, limited access to scientific knowledge, culture, contextual behaviour and genetics) and discuss how they impact obesity rates in Latin American countries. We propose that initiatives aimed at understanding obesity and hampering obesity growth in Latin America should involve multidisciplinary, global approaches that consider these determinants to build more effective public policy and strategies, accounting for regional differences and disease complexity at the individual and systemic levels.

Understanding Low Vaccine Uptake in the Context of Public Health in High-Income Countries: A Scoping Review.

Although the COVID-19 pandemic has caused the need for the largest mass vaccination campaign ever undertaken to date, African, Caribbean, and Black (ACB) populations have shown both a disproportionately high degree of negative impacts from the pandemic and the lowest willingness to become vaccinated. This scoping review aims to investigate low vaccine uptake in ACB populations relative to public health in high-income countries. A search was conducted in MEDLINE(R) ALL (OvidSP), Embase (OvidSP), CINAHL (EBSCOHost), APA PsycInfo (OvidSP), the Cochrane Central Register of Controlled Trials (OvidSP), the Cochrane Database of Systematic Reviews (OvidSP), the Allied and Complimentary Medicine Database (Ovid SP), and the Web of Science following the Joanna Briggs Institute (JBI) framework for scoping reviews, supplemented by PRISMA-ScR. Theoretical underpinnings of the intersectionality approach were also used to help interpret the complexities of health inequities in the ACB population. The eligibility criteria were based on the population, concept, context (PCC) framework, and publications from 2020-19 July 2022 which discussed vaccine uptake amongst ACB people in high-income countries were included. Analysis was carried out through thematic mapping and produced four main themes: (1) racism and inequities, (2) sentiments and behaviors, (3) knowledge and communication, and (4) engagement and influence. This study has contributed to the identification and definition of the issue of low vaccine uptake in ACB populations and has illustrated the complexity of the problems, as vaccine access is hampered by knowledge, psychological, socioeconomic, and organizational barriers at the individual, organizational, and systemic levels, leading to structural inequities that have manifested as low vaccine uptake.

Evidence-based Medication knowledge Brokers in Residential Aged CarE (EMBRACE): protocol for a helix-counterbalanced randomised controlled trial

IntroductionClinical practice guidelines recommend against the routine use of psychotropic medications in residential aged care facilities (RACFs). Knowledge brokers are individuals or groups who facilitate the transfer of knowledge into practice. The objective of this trial is to evaluate the effectiveness and cost-effectiveness of using knowledge brokers to translate Australia’s new Clinical Practice Guidelines for the Appropriate Use of Psychotropic Medications in People Living with Dementia and in Residential Aged Care.Methods and analysisThe Evidence-based Medication knowledge Brokers in Residential Aged CarE (EMBRACE) trial is a helix-counterbalanced randomised controlled trial. The 12-month trial will be conducted in up to 19 RACFs operated by four Australian aged care provider organisations in Victoria, New South Wales, Western Australia and Queensland. RACFs will be randomised to receive three levels of implementation strategies (knowledge broker service, pharmacist-led quality use of medications education activities and distribution of the Guidelines and supporting materials) across three medication contexts (antipsychotics, benzodiazepines and antidepressants). Implementation strategies will be delivered by an embedded on-site aged care pharmacist working at a system level across each participating RACF. All RACFs will receive all implementation strategies simultaneously but for different medication contexts. The primary outcome will be a composite dichotomous measure of 6-month RACF-level concordance with Guideline recommendations and good practice statements among people using antipsychotics, benzodiazepines and antidepressants for changed behaviours. Secondary outcomes will include proportion of residents with Guideline concordant use of antipsychotics, benzodiazepines and antidepressants measured at the RACF-level and proportion of residents with psychotropic medication use, hospitalisation, falls, falls with injury, polypharmacy, quality of life, activities of daily living, medication incidents and behavioural incidents measured at the RACF-level.DiscussionThe EMBRACE trial investigates a novel guideline implementation strategy to improve the safe and effective use of psychotropic medications in RACFs. We anticipate that the findings will provide new information on the potential role of knowledge brokers for successful and cost-effective guideline implementation.Trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12623001141639. Registered 6 November 2023 — retrospectively registered, https://www.anzctr.org.au/TrialSearch.aspx.

Advanced golden jackal optimization-based fractional-order integral terminal sliding-mode (FO-ITSM) controller for level control of the conical tank system

This article examines a conical tank nonlinear system's level control. A crucial component of facilities like milk processing plants and sugarcane mills is the conical tank. The fluid drains entirely due to the conical shape of the tank. The conical form of the system causes nonlinear dynamics. The conical tank nonlinear system transfer mechanism is not easily accessible, and different operating heights require different transfer mechanisms, making controller design difficult. Developing the Fractional-Order Integral Terminal Sliding-Mode (FO-ITSM) Controller system for Advanced Golden Jackal Optimisation (GJO) based conical tank systems is the main objective of this paper. This is utilised to deliver real-time liquid level management in non-linear conical systems. The dynamics of these models make it possible to identify the conical tank system that produces control signals from liquid samples taken at reference levels with greater accuracy. This system, which is employed on multiple platforms, maintains and controls the liquid level while meeting all design specifications, including time constant, no overshoot, less settling, and rise time. For research simulation work, MATLAB software's FOMCON toolbox is utilised.

Skin tone diversity in healthcare: making equity in care a reality

Skin care presents a number of opportunities to tackle health inequalities based on ethnicity. Maria Rebouco highlights key areas of bias in healthcare education and practice in relation to skin assessment, emphasising the need for meaningful change at individual and systemic levels.

Clinical Nurse Specialist Role Advocacy: Quantifying the Financial Contributions Via Development of a Scorecard.

The purpose of this article is to guide the clinical nurse specialist in constructing a scorecard to track clinical outcomes and identify the associated financial impact. Creation of a scorecard highlighting the financial impact of the clinical nurse specialist team was used to disseminate financial outcomes to hospital executive stakeholders, allowing the clinical nurse specialist team to demonstrate its clinical and financial value. During development and ongoing maintenance of the scorecard, the clinical nurse specialist team cultivated skills to identify the financial impact of projects. The team also utilized financial implications of individual and group projects to prioritize work. At the end of fiscal year 2022, the clinical nurse specialist team demonstrated revenue generation of $29 890 and cost avoidance of $2 854 807.30. The clinical nurse specialist scorecard was presented quarterly to the chief nursing officer, who shared with executive leadership. Clinical nurse specialists are positioned to make significant and positive financial impact to organizations. A scorecard presented to executive leadership offers a clinical nurse specialist team a tool to capture and disseminate a clinical nurse specialist team's unique financial contribution at the system level.

LabOSat-02: Hardware and Firmware Development of an On-Board Computer for Small Satellites

LabOSat is an applied research group whose main goal is to increase the Technology Readiness Level of electronic devices and systems for their use in space. To achieve this objective, the group designs and fabricates satellite payloads. Between 2014 and 2020 LabOSat has participated in 9 missions in orbit. In recent years, LabOSat started the development of LabOSat-02, a payload controller designed for small satellites. In this brief communication, LabOSat-02 hardware and firmware design is described and presented.

A novel low-cytotoxicity fluorescent probe applied to monitor pH in vivo and in vitro

Environmental pH plays an irreplaceable role in both cellular processes and production, and anomalous pH changes within cells may lead to various diseases. To tackle this issue, we designed and synthesized the novel low-cytotoxicity fluorescent probe called NAP-MP. The probe incorporates 1,8-naphthalimide as the fluorescence emitter, 1-methylpiperazine as the pH-sensitive moiety, and utilizes 3-aminopropyltriethoxysilane to improve its biocompatibility. The fluorescence of NAP-MP inhibits the photoinduced electron transfer (PET) process with the protonation of 1-methylpiperazine, resulting in the enhancement of fluorescence intensity. Density functional theory calculations have also confirmed the fluorescence mechanism. The probe demonstrates high selectivity, photostability and recyclability. The hydrogel prepared by the probe can detect different concentrations of ammonia in the air. In addition, due to its low toxicity and good biocompatibility, this probe has been successfully employed to observe pH changes in living HeLa cells. Overall, the development of this probe offers significant potential in the field of pH sensing, allowing for precise monitoring of pH levels in both environmental and biological systems.

LabOSat-01: A Payload for In-Orbit Device Characterization

LabOSat is an applied research group whose main objective is to increase the Technology Readiness Level of electronic devices and systems for their use in satellite missions. Since 2013 the Group has participated in 9 Low Earth Orbit missions in collaboration with Satellogic. Its flagship payload, LabOSat-01, is a Source-Measurement-Unit instrument dedicated to the electrical characterization of electronic devices. In this brief communication, results of in-orbit operation of LabOSat-01 are presented. A summary of the Group activities in the period 2013-2022 is also presented. These results represent almost 10 years of experience in 9 missions hosting different technologies in orbit.

Profiling of Oxylipins as Markers of Oxidative Stress in Biological Samples.

Oxylipins are oxidized metabolites of polyunsaturated fatty acids (PUFAs). They represent a class of risk markers and/or therapeutic targets for diseases associated with inflammation, including cardiovascular disease and brain disorders. Because the biological activities of free PUFAs and oxylipins depend on their chemical structures and concentrations, monitoring PUFAs and oxylipin levels in biological systems is critical for understanding their roles in health and disease. Traditionally, accurate quantification of free PUFAs and oxylipins in biological samples was performed separately, as PUFAs are often 1000-fold more abundant than the derived oxidized fatty acids (oxylipins). This article describes a liquid chromatography multiple reaction monitoring tandem mass spectrometry method for the quantitative analysis of five free PUFAs and 88 oxylipins in various biological fluids, including plasma, platelet supernatants, and tissues. The same approach can also be used in conjunction with an alkaline hydrolysis step to quantify total oxylipins in fish oils. We observed that in some samples, linoleic acid levels in plasma and eicosapentaenoic acid and arachidonic acid levels in brain tissue were above the upper limit of quantification. To address this issue, we developed a data analysis method to obtain PUFA and oxylipin concentrations in these samples without additional sample preparation, thus significantly saving time and labor. © 2024 Wiley Periodicals LLC. Basic Protocol: Quantification of polyunsaturated fatty acids (PUFAs) and oxylipins using liquid chromatography multiple reaction monitoring tandem mass spectrometry Support Protocol 1: Preparation of internal standard mixed working solution Support Protocol 2: Preparation of standard mixed stock solution Support Protocol 3: Preparation of standard mixed working solution Alternate Protocol 1: Extraction and quantitation of free PUFAs and oxylipins from mouse brain tissue Alternate Protocol 2: Extraction and quantitation of total PUFAs and oxylipins from fish oil.

Economic enhancement and grid‐frequency control of a wind farm‐CAES‐fuel cell‐based hybrid system

AbstractIn the present era, the electrical network faces difficulty owing to the restricted supply of conventional energy resources. Solar and wind power are supremely acceptable renewable energy around the globe due to their cheap availability, zero fuel costs, and environmental safety features. Maintaining power balance in a renewable combined day‐ahead power network becomes challenging owing to the uncertainty of renewable sources, resulting in economic instability. An energy‐storing device is essential for combining renewable sources with existing thermal power plants to control the energy supply and maintain system stability. Any government agency in the deregulated market does not set up energy pricing. The ISO (independent system operator) is the primary organization in the day‐ahead power network that is responsible for collecting energy bids from DISCOs (distribution companies), TRANSCOs (transmission companies), and GENCOs (generation companies). The energy pricing is set by the market regulator at a rate known as Location‐based marginal pricing (LBMP), which provides benefits to GENCOs, and DISCOs as well as the customers. In a deregulated market, the unpredictability of renewable sources affects system profit owing to the creation of instability cost (ISC), induced by mismatching the bidding power production from the renewable plant. To lessen these concerns, the presented approach has proposed an innovative model that employs ideal scheduling of the WF (wind‐farm)‐CAES (compressed‐air‐energy‐storage)‐fuel cell (FC) hybrid systems to enhance system economic profitability while keeping the grid frequency (GF) in the safe zone. The fuel cell acts as the energy‐storing device that can be utilized during high‐demand times on the grid, with the ultimate goal of maximizing profits for the overall system. The CAES system's energy level is separated into four dissimilar points, and this study presents an optimum approach for efficiently using it to maintain grid frequency. The new strategy outperformed the previous methods in all categories. The study was performed using the IEEE 30 bus test system.