Zhanle Wang

Zhanle Wang
University of Regina · Faculty of Engineering and Applied Science

PhD, Electronic Systems Engineering, University of Regina

About

16
Publications
718
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
306
Citations

Publications

Publications (16)
Article
As compensation to power generation dispatch, demand response (DR) enables demand controllability by changing the consumers' electricity usage patterns, which can be used to reduce electricity cost, integrate renewable energy, and provide ancillary services. To reveal the benefits from residential DR, this study develops two approaches: 1) optimal...
Article
Full-text available
This paper proposes a layered stochastic optimization approach for residential demand response (DR) under real‐time pricing (RTP) and an incentive‐based mechanism, which contains three steps. In the first layer, an independent system operator (ISO) announces day‐ahead RTP to a residential load aggregator (RLA). The RLA predicts individual household...
Article
Full-text available
Demand response (DR) programs encourage consumers to adapt the time of using electricity based on certain factors, such as cost of electricity, renewable energy availability, and ancillary request. It is one of the most economical methods to improve power system stability and energy efficiency. Residential electricity consumption occupies approxima...
Conference Paper
Time-of-Use (TOU) has great potential to reduce electricity payments and improve the stability of the power system with demand response (DR) implementation. This paper presents a load control model for optimal residential DR implementation responding to TOU in a distribution network, in which the main stakeholders are utilities and homes. The load...
Conference Paper
This paper presents a multi-agent system (MAS) to evaluate implementation of the residential demand response (DR), in which the main stakeholders are modeled by a class of software agents including Conventional Home Agents, Smart Home Agents, and a Utility Agent. DR is a recent effort to improve efficiency of the electricity market and the stabilit...
Article
Demand response (DR) is a recent effort to improve the efficiency of the electricity market and the stability of the power system. A successful implementation relies on both appropriate policy design and enabling technology. This paper presents a multiagent system to evaluate optimal residential DR implementation in a distribution network, in which...
Article
We propose the signal processing technique of calculating a cross-correlation function and an average deviation between the continuous blood glucose and the interpolation of limited blood glucose samples to evaluate blood glucose monitoring frequency in a self-aware patient software agent model. The diabetic patient software agent model [1] is a 24...
Article
This paper proposes an electric vehicle charging model and various control algorithms that are further incorporated into a multi-agent system [1] to evaluate impacts of electric vehicle penetration on the power system. Electric vehicles have become increasingly popular due to the high costs of the operation of gas / diesel powered vehicles and the...
Conference Paper
This paper presents an agent-base model to evaluate the home energy management system in residential demand response implementation. Residential demand response aims to change people's electricity consumption patterns to reduce the peak demand and therefore improve energy efficiency and power system stability. The home energy management system inte...
Article
This work presents a self-aware diabetic patient software agent for representing a human diabetic patient. To develop a 24h, stochastic and self-aware patient agent, we extend the original seminal work of Ackerman et al. [1] in creating a mathematical model of human blood glucose levels in three aspects. (1) We incorporate the stochastic and unpred...
Conference Paper
We propose the method of calculating the cross-correlation between continuous blood glucose and interpolated values of blood glucose samples in order to evaluate blood glucose monitoring frequency in a diabetic-patient software-agent model. The patient software-agent model is a 24-hr circadian, self-aware, stochastic model of a diabetic patient's b...
Conference Paper
This paper reviews recent simulation and modeling applications of residential demand response including demand response enabled load models, home energy management systems, and multi-agent systems. Demand response implementation in residential sectors is a recent effort to improve efficiency of the electricity market and stability of the power syst...

Network

Cited By