Linear triangular optimization technique and pricing scheme in residential energy management systems

Anees, Amir; Hussain, Iqtadar; Alkhaldi, Ali H.; Aslam, Muhammad

doi:10.1016/j.rinp.2018.03.015

Cited by 8 publications

(10 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RTEP being superior in flexibility as compared to both TOUP and CPP, but has the drawback of concentrating many appliances at low EP areas. Considering this constraint, the proposed system combines IBR with RTEP which can vary EP rates in the low EP time slot based on the power consumption of the appliances [38]. This prevents another peak that can occur in low EP time slots.…”

Section: B Selected Pricing Scheme and Modified Inclined Block Ratementioning

confidence: 99%

A Novel Dynamic Appliance Clustering Scheme in a Community Home Energy Management System for Improved Stability and Resiliency of Microgrids

Abbasi

Sultan²,

Aziz

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Power scheduling of domestic appliances is a vital preference for bridging the gap between demand and generation of electricity in a microgrid. For a stable microgrid, an acceptable mechanism must reduce the peak to average ratio (PAR) of power demand with supplementary benefits for consumers as reduced electricity charges. Recent studies have focused on PAR and cost reduction for a small consumer population. Furthermore, researchers have mainly considered homogeneous consumer loads. This study focuses on residential power scheduling for electricity cost reduction for consumers and load profile PAR curtailment for a relatively large consumer population with non-homogeneous loads. A sample population of 1000 consumers from various classes of society is considered. The proposed dynamic clustered community home energy management system (DCCHEMS) allows the clustering of appliances based on time overlap criteria. Comparatively flatter power demand is attained by utilizing the clustered appliances in conjunction with particle swarm optimization under the influence of user-defined constraints. Modified inclined block rates with real-time electricity pricing strategies are deployed to minimize the electricity costs. DCCHEMS achieved higher efficiency rates in contrast to the traditional non-clustering and static clustering optimization schemes. An improvement of 21% in peak to average ratio, 4% in cost reduction, and 19% in variance to mean ratio is obtained.

show abstract

Section: B Selected Pricing Scheme and Modified Inclined Block Ratementioning

confidence: 99%

A Novel Dynamic Appliance Clustering Scheme in a Community Home Energy Management System for Improved Stability and Resiliency of Microgrids

Abbasi

Sultan²,

Aziz

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Table 8 shows the pricing data which are taken from the research articles written by authors Amir Anees et al 30 and Nazer et al 31 For the proposed pricing scheme we have taken p = 5 cents/kWh as flat price which is calculated as p = (100 × 0.20)/4 = 5; where 100 cents are considered per day income for a lower class (here, it is taken 100 cents only for research purpose the actual data can be different such as in India it is less than 50 cents/day) and 20 percent is considered for spent of energy requirement (it can be different such as 15 percent, or 25 percent, or 10 percent) and approximate energy consumption per day by a low class consumer is 4 kWh. q is taken as 10 cents/kWh, L th is 1 kW, LM th is 1.5 kW, α 1 is 1.2, and α 2 is 1.5.…”

Section: Comparison and Analysismentioning

confidence: 99%

Pricing scheme to ease energy poverty of low‐income population in smart grid

Singh

Gore

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Demand Response (DR) program is an important component of a cyber‐physical energy infrastructure. The DR pilot projects in Europe, North America, and Australia showed that some consumers respond, few consumers marginally respond while some consumers do not respond at all to the DR programs. DR program basically uses pricing schemes, namely, flat price, time‐of‐use price, inclined block rate price, real‐time price, and threshold based real‐time price. The problem with these pricing schemes is that consumers (specifically those who have low‐income) have to pay electricity bill which is not feasible for them. So, they suffer from energy poverty, that is, they are not able to purchase even the minimum amount of energy which suffices their requirements. The DR program is basically of two types, namely (a) active DR program, and (b) passive DR program. This article is about the pricing scheme which would be used in the passive DR program. This article is proposing a novel pricing scheme to ease the energy poverty issue of low‐income group of population. This article proposes an idea of population categorization based on wealth and an idea to find suitable thresholds for proposed pricing scheme.

show abstract

“…(a) A large number of HEMS algorithms in recent research are based on SOO [3,[8][9][10]12,15], whereas the real life problems for HEMS are mostly based on MOO with conflicting objectives. In order to handle MO, such problems are desired to be solved for a diverse set of TOs between the objectives.…”

Section: Limitations Of the Recent Research And Proposed Resolutionsmentioning

confidence: 99%

“…(c) Most of the algorithms for HEMS have not been evaluated for a diversified performance for an adequate number of TPs. The algorithms have mostly been tested for a single TP based on a DPS [3][4][5][6][7][8][9][13][14][15][16][17]20,21]. The optimal performance of an algorithm, however, does vary if evaluated for a diversified set of TPs [22].…”

Section: Limitations Of the Recent Research And Proposed Resolutionsmentioning

confidence: 99%

“…Most of the problems for HEMS in real life are MOO with mutually conflicting objectives. The main objective in the recent research is minimizing the CE [3][4][5][6][7][8][9][10][11][12][16][17][18][19][20][21], whereas, minimizing TBD is the second most important objective [5][6][7]16,17,19,20] from the consumer's perspective. A TO exists between the reduction in CE and the TBD that makes home energy management problems interesting to the issue of MO.…”

Section: Handling Of Multi-objectivity In Energy Managment Problemsmentioning

confidence: 99%

See 1 more Smart Citation

A Weighted-Sum PSO Algorithm for HEMS: A New Approach for the Design and Diversified Performance Analysis

et al. 2019

View full text Add to dashboard Cite

This research focuses on a decomposed-weighted-sum particle swarm optimization (DWS-PSO) approach that is proposed for optimal operations of price-driven demand response (PDDR) and PDDR-synergized with the renewable and energy storage dispatch (PDDR-RED) based home energy management systems (HEMSs). The algorithm for PDDR-RED-based HEMS is developed by combining a DWS-PSO-based PDDR scheme for load shifting with the dispatch strategy for the photovoltaic (PV), storage battery (SB), and power grid systems. Shiftable home appliances (SHAs) are modeled for mixed scheduling (MS). The MS includes advanced as well as delayed scheduling (AS/DS) of SHAs to maximize the reduction in the net cost of energy ( C E ). A set of weighting vectors is deployed while implementing algorithms and a multi-objective-optimization (MOO) problem is decomposed into single-objective sub-problems that are optimized simultaneously in a single run. Furthermore, an innovative method to carry out the diversified performance analysis (DPA) of the proposed algorithms is also proposed. The method comprises the construction of a diversified set of test problems (TPs), defining of performance metrics, and computation of the metrics. The TPs are constructed for a set of standardized dynamic pricing signal and for scheduling models for MS and DS. The simulation results show the gradient of the tradeoff line for the reduction in C E and related discomfort for DPA.

show abstract

Linear triangular optimization technique and pricing scheme in residential energy management systems

Cited by 8 publications

References 17 publications

A Novel Dynamic Appliance Clustering Scheme in a Community Home Energy Management System for Improved Stability and Resiliency of Microgrids

A Novel Dynamic Appliance Clustering Scheme in a Community Home Energy Management System for Improved Stability and Resiliency of Microgrids

Pricing scheme to ease energy poverty of low‐income population in smart grid

A Weighted-Sum PSO Algorithm for HEMS: A New Approach for the Design and Diversified Performance Analysis

Contact Info

Product

Resources

About