Smart Energy Management System for Minimizing Electricity Cost and Peak to Average Ratio in Residential Areas with Hybrid Genetic Flower Pollination Algorithm

Journal article


Mateen, A, Wasim, M., Ahad, A., Ashfaq, T., Iqbal, M. and Ali, A (2023). Smart Energy Management System for Minimizing Electricity Cost and Peak to Average Ratio in Residential Areas with Hybrid Genetic Flower Pollination Algorithm. Alexandria Engineering Journal. 77, pp. 593-611. https://doi.org/10.1016/j.aej.2023.06.053
AuthorsMateen, A, Wasim, M., Ahad, A., Ashfaq, T., Iqbal, M. and Ali, A
Abstract

Demand Side Management (DSM) plays a significant role in the smart grid to minimize Electricity Cost (EC). Home Energy Management Systems (HEMSs) have recently been studied and proposed explicitly for HEM. In this paper, we propose a novel nature-inspired hybrid Genetic Flower Pollination Algorithm (GFPA) to minimize cost with an affordable delay in appliance scheduling. Our proposed GFPA algorithm combines elements of the Genetic Algorithm (GA) and Flower Pollination Algorithm (FPA) to create a hybrid approach. To assess the effectiveness of the proposed algorithm, we consider a scalable town consisting of 1, 10, 30, and 50 homes, respectively. The proposed solution finds an optimal scheduling pattern that simultaneously minimizes EC and Peak to Average Ratio (PAR) while maximizing User Comfort (UC). We assume that all homes are homogeneous regarding appliances and power consumption patterns. Simulation results show that our proposed scheme GFPA performs better when applying Critical Peak Pricing (CPP) signal using different Operational Time Intervals (OTIs) and compared with unscheduled, GA, and FPA-based solutions in terms of reducing cost since they achieve on average 98%, 36%, 23%, and 22%, respectively. Similarly, PAR averages 98%, 36%, 59%, and 55%, respectively. While, UC comparing to GA and FPA, are around 88%, 48%, and 63%, respectively. Our proposed scheme achieves better results by applying Real Time Pricing (RTP) signals and different OTIs. As these schemes, i.e., unscheduled, GA, FPA, and GFPA, achieve cost on average 92%, 50%, 29%, and 28%, respectively. While PAR on average 94%, 39%, 62%, and 56%, and UC for GA, FPA, and GFPA on average 98%, 52%, and 49%, respectively. Overall, ourproposed GFPA algorithm offers a more effective solution for minimizing EC with an affordable delay in appliance scheduling while considering PAR and UC.

KeywordsSmart grid; Flower pollination ; Demand response Home energy management ; Critical peak pricing; Real time pricing Genetic algorithm
Year2023
Journal Alexandria Engineering Journal
Journal citation77, pp. 593-611
PublisherElsevier
ISSN2090-2670
Digital Object Identifier (DOI)https://doi.org/10.1016/j.aej.2023.06.053
Publication dates
Print15 Aug 2023
Publication process dates
Accepted15 Jun 2023
Deposited15 Aug 2023
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Sarwar, S, García-Castro, R, Qayyum, Z, Safyan, M, Munir, F and Iqbal, M (2018). Ontology Based e-Learning Systems: A Step towards Adaptive Content Recommendation. International Journal of Information and Education Technology. 8 (10), pp. 700-705. https://doi.org/10.18178/ijiet.2018.8.10.1125
Autonomous, Seamless and Resilience Carrier Cloud Brokerage Solution for Business Contingencies during Disaster Recovery
Shahzadi, S, Ubakanma, G, Iqbal, M and Dagiuklas, T (2018). Autonomous, Seamless and Resilience Carrier Cloud Brokerage Solution for Business Contingencies during Disaster Recovery. IEEE International Conference on High Performance Computing and Communication (HPCC). Exeter, UK 28 - 30 Jun 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00174
Feasibility of Serverless Cloud Services for Disaster Management Information Systems
Asghar, T, Rasool, S, Iqbal, M, Qayyum, Z, Noor Mian, A and Ubakanma, G (2018). Feasibility of Serverless Cloud Services for Disaster Management Information Systems. IEEE International Conference on High Performance Computing and Communication (HPCC). Exeter, UK 28 - 30 Jun 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00175
On the Modelling of CDNaaS Deployment
Bulkan, U, Dagiuklas, T and Iqbal, M (2018). On the Modelling of CDNaaS Deployment. Multimedia Tools and Applications. 78, pp. 6805-6825. https://doi.org/10.1007/s11042-018-6441-3
Reliable Resource Provisioning using Bankers’ Deadlock Avoidance Algorithm in MEC for Industrial IoT
Ugwuanyi, EE, Ghosh, S, Iqbal, M and Dagiuklas, T (2018). Reliable Resource Provisioning using Bankers’ Deadlock Avoidance Algorithm in MEC for Industrial IoT. IEEE Access. 6. https://doi.org/10.1109/ACCESS.2018.2857726
Quality of Service Provisioning for Heterogeneous Services in Cognitive Radio-enabled Internet of Things
Ali, A, Feng, L, Bashir, AK, Shaker, SH, Ahmed, SH, Iqbal, M and Raja, G (2018). Quality of Service Provisioning for Heterogeneous Services in Cognitive Radio-enabled Internet of Things. IEEE Transactions on Network Science and Engineering. https://doi.org/10.1109/TNSE.2018.2877646
On the Load Balancing of Edge Computing resources for on-line video delivery
Bulkan, U., Dagiuklas, A., Iqbal, M, Saidul Huq, M, Al-Dulaimi, A and Rodriguez, J (2018). On the Load Balancing of Edge Computing resources for on-line video delivery. IEEE Access. 6 (2018), pp. 73916-73927. https://doi.org/10.1109/ACCESS.2018.2883319
Communication device and method for achieving multi-protocol interoperability
Wang, X and Iqbal, M (2017). Communication device and method for achieving multi-protocol interoperability.
Multiprotocol interoperation communication device and method (Patent Application CN 105704125 A)
Wang, X and Iqbal, M (2016). Multiprotocol interoperation communication device and method (Patent Application CN 105704125 A).
Mobile Edge Computing Potential in Making Cities Smarter
Taleb, T, Dutta, S, Ksentini, A, Iqbal, M and Flinck, H (2017). Mobile Edge Computing Potential in Making Cities Smarter. IEEE Communications Magazine. 55 (3). https://doi.org/10.1109/MCOM.2017.1600249CM
An Efficient Channel Access Scheme for Vehicular Ad-hoc Networks
Hussain, S, Iqbal, M, Saeed, A, Raza, I, Raza, H, Ali, A, Bashir, A and Baig, A (2017). An Efficient Channel Access Scheme for Vehicular Ad-hoc Networks. Mobile Information Systems. 2 (4), pp. 1473-1477.
Infrastructure as a Service (IaaS): A Comparative Performance Analysis of Open-Source Cloud Platforms
Iqbal, M and Dagiuklas, T (2017). Infrastructure as a Service (IaaS): A Comparative Performance Analysis of Open-Source Cloud Platforms. The International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD). Lund, Sweden. 21 May - 19 Jun 2017
Context-Aware Personalized Activity Modeling in Concurrent Environment
Safyan, M, Zia, Q, Sarwar, S, Iqbal, M and Ahmed, M (2017). Context-Aware Personalized Activity Modeling in Concurrent Environment. 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). Exeter UK 21 - 23 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.150
Edu-Cloud: On-the-fly Employability Skills as a Service
Shahzadi, S, Iqbal, M and Dagiuklas, T (2017). Edu-Cloud: On-the-fly Employability Skills as a Service. Computer Applications in Engineering Education. 26 (2), pp. 314-325. https://doi.org/10.1002/cae.21886
Multi-Access Edge Computing: Open issues, Challenges and Future Perspective
Shahzadi, S, Iqbal, M, Dagiuklas, T and Qayyum, Z (2017). Multi-Access Edge Computing: Open issues, Challenges and Future Perspective. Journal of Cloud Computing : Advances, Systems and Applications. 6 (1). https://doi.org/10.1186/s13677-017-0097-9