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Electronics 2019, 8(2), 180; https://doi.org/10.3390/electronics8020180

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

1
COMSATS University Islamabad, Islamabad 44000, Pakistan
2
University of Central Punjab, Lahore 54000, Pakistan
*
Author to whom correspondence should be addressed.
Received: 2 December 2018 / Revised: 5 January 2019 / Accepted: 21 January 2019 / Published: 4 February 2019
(This article belongs to the Special Issue Renewable Electric Energy Systems)
PDF [1063 KB, uploaded 4 February 2019]

Abstract

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.
Keywords: price driven demand response; dispatch of renewables and energy storage systems; decomposed-weighted-sum method; multi-objective particle swarm optimization; diversified performance analysis; advanced and delayed scheduling; testing of HEMS algorithms price driven demand response; dispatch of renewables and energy storage systems; decomposed-weighted-sum method; multi-objective particle swarm optimization; diversified performance analysis; advanced and delayed scheduling; testing of HEMS algorithms
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Hussain, B.; Khan, A.; Javaid, N.; Hasan, Q.U.; Malik, S.A.; Dar, A.H.; Kazmi, A.; Ahmad, O. A Weighted-Sum PSO Algorithm for HEMS: A New Approach for the Design and Diversified Performance Analysis. Electronics 2019, 8, 180.

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