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Journal ArticleDOI

Demand Response of Ancillary Service From Industrial Loads Coordinated With Energy Storage

TLDR
In this paper, the authors proposed methods that enable industrial loads to provide regulation or load following with the support of an on-site energy storage system, which enables them to adjust their power consumption rate by switching on/off the crushers.
Abstract
As one of the featured initiatives in smart grids, demand response is enabling active participation of electricity consumers in the supply/demand balancing process, thereby enhancing the power system's operational flexibility in a cost-effective way. Industrial load plays an important role in demand response because of its intense power consumption, already existing advanced monitoring, and control infrastructure, and its strong economic incentive due to the high energy costs. As typical industrial loads, cement plants are able to quickly adjust their power consumption rate by switching on/off the crushers. However, in the cement plant as well as other industrial loads, switching on/off the loading units only achieves discrete power changes, which restricts the load from offering valuable ancillary services such as regulation and load following, as continuous power changes are required for these services. In this paper, we overcome this restriction of poor granularity by proposing methods that enable these loads to provide regulation or load following with the support of an onsite energy storage system.

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Citations
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Journal ArticleDOI

A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities

TL;DR: In this article, the authors investigated the research themes on smart homes and cities through a quantitative review and identified barriers to the progression of smart homes to sustainable smart cities through qualitative review, based on the results of the holistic framework of each domain (smart home and city) and the techno-functional barriers.
Journal ArticleDOI

A multi-agent based optimization of residential and industrial demand response aggregators

TL;DR: In this article, a central demand response provider (DRP) is proposed to coordinate the responsive plans of industrial and residential demand response aggregators (IDRA, RDRA), which integrates the flexibility potential of whole production lines for two energy intensive heavy industries, i.e. cement manufacture and metal smelting.
Journal ArticleDOI

Demand-Side Regulation Provision From Industrial Loads Integrated With Solar PV Panels and Energy Storage System for Ancillary Services

TL;DR: The participation of solar energy in real-time regulation provision process is emphasized, which is modeled based on a variety of operation modes in accordance to Australian Standard, and the proposed method poses cost-effectiveness in industrial plant scheduling and a favorable load following capability, helping ensure the frequency stability of the electric grid.
Journal ArticleDOI

Demand-side management in industrial sector: A review of heavy industries

TL;DR: In this article , a comprehensive review of industrial demand response opportunities in energy-intensive industries is presented, where the flexibility potentials of industrial processes are classified based on their compatibility with time responses on long, mid, and short advance notices of different electricity market floors and ancillary service markets.
References
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Journal ArticleDOI

Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization

TL;DR: The numerical results show attributes of the two approaches for solving the real-time optimal DR management problem for residential appliances via stochastic optimization and robust optimization approaches.
Journal ArticleDOI

Deep learning for estimating building energy consumption

TL;DR: In this article, the authors investigate two newly developed stochastic models for time series prediction of energy consumption, namely, CRBM and Factored Conditional Restricted Boltzmann Machine (FCRBM).
Journal ArticleDOI

Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power

TL;DR: In this paper, a new unit commitment model is proposed to simulate the interactions among plug-in hybrid electric vehicles (PHEVs), wind power, and demand response (DR).
Journal ArticleDOI

Very Short-Term Nonparametric Probabilistic Forecasting of Renewable Energy Generation— With Application to Solar Energy

TL;DR: In this paper, the authors proposed a nonparametric approach to generate very short-term predictive densities, i.e., for lead times between a few minutes to one hour ahead, with fast frequency updates.
Proceedings ArticleDOI

Pricing data center demand response

TL;DR: This paper proposes that prediction-based pricing is an appealing market design, and shows that it outperforms more traditional supply function bidding mechanisms in situations where market power is an issue, and provides analytic, worst-case bounds on the impact of prediction error on the efficiency of prediction- based pricing.
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