Please use this identifier to cite or link to this item:
Title: On Optimizing Energy Consumption with Combined Operations of Microgrids for Demand Side Management in Smart Homes
Authors: Ali, Zafar
Keywords: Computer Science
Computer & IT
Issue Date: 2020
Publisher: PMAS-Arid Agriculture University, Rawalpindi.
Abstract: Key enabling technologies such as SG, DSM and DR have potential to sustain a balance between demand of electric power and its supply. The aspects of enhancing smooth operational capacity through DSM and DR have been employed to minimize cost of electricity in electric power grid so that end user can be facilitated (as elaborated in section 3.2). Firstly, a scheduling based on heuristic approach has been suggested for domestic appliance scheduling optimization problem using CSOA, CSA and GA while adhering to a couple of electricity tariff schemes: CPP and RTP for HEMS regarding DSM. Major goal of stated approach is to curb the price of electrical energy, PAR and user WT. In order to measure the performance of stated approach, a solitary residential unit and multiple houses in a building was used as a test-bed. Moreover, ESS was incorporated for an efficient process of the electric grid for curbing the cost. RTP and CPP signals have been used for having feasible regions in multiple smart homes depicting the behavior of scheduling problem in term of electricity cost, its usage and customer WT. It is evident from results that proposed approach has potential for electricity load scheduling intelligently such as transforming from higher price hours to low price hours (with minimal PAR and user WT). Cost of electricity has been further compacted through integration with ESS. Besides, the proposed approach effectiveness of CSOA sovereignty is evident from perspective of PAR and cost decrease having a tradeoff among cost of electrical energy and consumer WT. The CSOA performance is better than GA and CSA because CSOA attempts to acquire more global optimization time instead of the local solution while having a few number of aspects for fine-tuning compared to GA. In order to maintain a level of constancy in grid (as discussed in section 3.4), the traditional grid is revolutionized into a SG. The pivotal aspects to maintain a balance among demand and supply of power are DSM and DR. DSM ensured lowering the end-user cost of electricity and seamless grid operations. Electricity cost and PAR reduction approaches based upon multi OTIs in residential sector has been proposed. HGWDE has been put forth with two pricing phenomenon: RTP and CPP. Proposed approach has been evaluated by employing it through various appliances under a diverse range of prices. All the Feasible regions have been computed for OTI that states the scheduling impact of appliances keeping in view the WT cost and electrical energy. There are four performance factor considered for measuring the impact of proposed approach. We may conclude that our approach schedules load of electricity, high price hours to low price hour. So, PAR and price minimization are attained with acceptable degree of WT. Moreover, it may be asserted that HGWDE shows better results than contemporary approaches with trade-off between electrical energy cost and WT. 223 The control and monitoring of day-to-day power consumption may assist in preventing energy consumption and reduce electrical energy PAR and cost. Approaches regarding HEM are recommended to diminish the PAR and electrical energy cost while having a maximum UC in domestic area. PV panel and wind turbine were integrated for having a low-priced electrical energy generation with reduced cost. Prevalent heuristics were implemented in order to attain the targeted goals such as: GWO, WDO, BPSO and GA. Also, some hybrid approaches were proposed: WBPSO, WDGWO and WDGA. A comparative analysis of proposed technique and contemporary ones is also provided where our hybrid techniques have shown encouraging results than existing ones regarding energy price and PAR minimization. After MG integration, electrical energy cost was abridged by 53.39%, 35.60% and 35.02%, using WBPSO, WDGWO and WDGA, correspondingly. The minimization of PAR is done using WBPSO, WDGWO and WDGA by 18.89%, 61.43% and 61.30%, in that order. As described in section 3.6 for smart home using DSM domestic electrical load scheduling is a general method. The user discomfort, PAR and electricity cost are reduced by means of ECSU. Considering the proposed scheme appliances which are time elastic and power elastic are thought-out for scheduling. IBR and RTP signals are together used to avoid the making of peaks for the duration of the hours where electricity price is low. Heuristic techniques such as FPA, BAT, TLBO and GA are implemented using Matlab in this research work to decrease user discomfort, PAR electrical energy cost. The day-to-day user discomfort, PAR and electrical energy cost are decreased up to 7.56%, 9.87%, 37.95% by GA, 3.33%, 12.96%, 26.74% by TLBO, 30.91%, 5.55%, 3.87% by FPA, 48.36%, 2.46%, 12.32% by BAT, in that order. Furthermore, 4 hybrid simulation techniques: FGA, FBAT, FTLBO and GTLBO are suggested by uniting the preeminent characteristics of FPA and GA, FBAT and FPA, TLBO and FPA, TLBO and GA. The day-to-day user discomfort, PAR and electricity cost are decreased by suggested algorithms: up to 44.45%, 32.09%, 39.17% by GTLBO, 33.38%, 45.06%, 40.75% by FTLBO, 22.18%, 27.16%, 25.23% by FBAT, 12.72%, 33.95%, 64.49% by FGA, correspondingly. Hybrid algorithms performance are improved than their parents algorithms as displayed by the simulation results in terms of decreasing user discomfort, PAR and electrical energy cost. Furthermore, that the performance of recommended techniques: FGA, FBAT, GTLBO, FTLBO are better than GA and FPA, BAT and FPA, TLBO and FPA, TLBO and GA. Trade-off is made between electrical energy price and consumer discomfort, while reducing user discomfort, PAR electricity cost compromise by the suggested algorithms. Moreover, with the increasing cost of electricity the consumer discomfort is decreasing. Among the parent algorithms the FGA consumer discomfort is lowermost, i.e., 1.76 and electrical energy price is highest, i.e., $17.86. Additionally, among the proposed techniques 224 the FBAT consumer discomfort is lowermost, i.e., 1.06 and electrical energy price is highest, i.e., $13.89.
Gov't Doc #: 21831
Appears in Collections:PhD Thesis of All Public / Private Sector Universities / DAIs.

Files in This Item:
File Description SizeFormat 
zafar iqbal cs 2020 arid rwp.pdfphd.Thesis7.21 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.