Progress on the demand side management in smart grid and optimization approaches

Optimized energy consumption model for smart home using improved differential evolution algorithm

Residential Demand Side Management model, optimization and future perspective: A review

https://arpi.unipi.it/bitstream/11568/904527/1/ECOS2.pdf

A Sequential Linear Programming algorithm for economic optimization of Hybrid Renewable Energy Systems

We present a day-ahead scheduling strategy for an Energy Storage System (ESS) in a microgrid using two algorithms - Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The scheduling strategy aims to minimize the cost paid by consumers in a microgrid subject to dynamic pricing. We define an objective function for the optimization problem, present its search space, and study its structural properties. We prove that the search space has a magnification of at least $50\times (B_{c} - B_{d} + 1)$ , where $B_{c}$ and $B_{d}$ are the maximum depths of charge and discharge in an hour (in percentage) of the ESS respectively. In a simulation involving load, energy generation, and grid price forecasts for three microgrids of different sizes, we obtain ESS schedules that provide average cost reductions of 11.31% (using GA) and 14.31% (using PSO) over the ESS schedule obtained using Net Power Based Algorithm.

/pdf/optimization-of-day-ahead-energy-storage-system-scheduling-3p5k715ikt.pdf

Optimization of Day-Ahead Energy Storage System Scheduling in Microgrid Using Genetic Algorithm and Particle Swarm Optimization

Demand side management is a useful and necessary tool in smart grid energy management system to reduce total power demand during peak demand periods and hence, enhancing grid sustainability and reducing overall cost. This paper discusses a new load shifting approach for demand side management in smart grid energy management. This approach optimizes the consumption curves of household, commercial and industrial consumers. The proposed algorithm in this approach minimizes the cost incurred by users while taking into account users' individual preferences for the loads by setting priorities and preferred time intervals for load scheduling.

Particle swarm optimization for demand side management in smart grid

: This study aims to identify dominant theories, research areas, and trends related to coping issues in teacher education (TE) research. The origin of coping theories comes from psychology, but there is a growing shift in coping research related to teaching, problem-solving, and training programs in pedagogy. Although coping issues in TE affect teachers' teaching and learning, there have been very few systematic reviews of coping issues in TE these days. A systematized literature study is conducted for answering the research question: "Which theories, research problems, and approaches have been used for coping issues in TE?". A literature search is undertaken using the Web of Science, Science Direct, and EBSCO (host) databases, and 61 studies published between 2016 and 2021 are reviewed. The findings report that stress, classroom management, professional relationship, and technology are common research problems related to coping issues in TE. Analysis of the studies also reveals dominant coping theories, research approaches, and research tools in TE research. This review can give researchers new insights in developing the literature and research tools about coping issues in TE. It also contributes to a broader focus on coping theories and research about coping issues in different TE systems.

C oping issues as a topic in teacher education research : a systematic literature review


 
 
 NICE guidelines state that fracture risk assessment should occur in all women aged ≥65 and all men aged ≥75. This includes assessing patients’ FRAX score, measuring serum vitamin D and calcium levels. Early detection and treatment can prevent complications like fragility fractures. We conducted a Quality Improvement Project to improve bone health assessments on Geriatric Wards.
 
 
 
 A baseline audit assessed: admission reason, falls history, FRAX score, CFS, previous DEXA scans, whether vitamin D and calcium levels were checked during the admission, and if treatment was commenced (bone resorption medication and vitamin D/calcium supplements). Data was collected two further times following interventions over a 5-month period. The first intervention was an announcement at the morning departmental meeting reminding clinicians. The second intervention was an email reminder.
 
 
 
 There were 56, 51, and 58 patients per cycle. 19, 15, and 17 patients were admitted with falls. 23, 14, and 10 patients had a falls history. Average CFS was 5.4, 5.4, and 5.5. Average major osteoporotic fracture FRAX score was 15.8, 16.4, and 12.9. Checking serum calcium was 88%, 100%, and 100%. Checking vitamin D was 30%, 43%, and 60%. 28%, 43%, and 47% of patients were prescribed calcium and vitamin D supplements. Patients on bone resorptive treatment dropped from 7% to 3% to 2%. 8, 12, and 11 patients had a previous DEXA.
 
 
 
 Verbal announcement had the greatest impact. Visible reminders help sustainability. This QIP highlighted the lack of bone protection treatment with multiple contributing factors including some patients lacking the capacity to follow instructions to take weekly medications or patients requiring vitamin D being replaced initially, with initiation later. This QIP feeds into a larger trust project in developing a ‘Fracture Liaison Service’, which could improve adherence and provide a pathway in utilising annual and bi-annual treatments.


Ei Phyu

Papers

Particle swarm optimization for demand side management in smart grid

C oping issues as a topic in teacher education research : a systematic literature review

1282 evaluation of the identification bone health of patients on geriatric wards