Demand response as a strategy to support grid operation in different time scales

Johal, H.; Anaparthi, K.K.; Black, Jason

doi:10.1109/ecce.2012.6342642

Cited by 19 publications

(7 citation statements)

References 3 publications

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“…(Category C) Centralized DR control with one‐way signal : Some related works mentioned that a server controls all the DR devices with a broadcast signal, such as the PJM regulation signal , according to the demand–supply imbalance . In Refs , some scheduling algorithms to provide ancillary service using unidirectional EV charging were formulated to maximize the financial benefits of customers and aggregators under dynamic pricing.…”

Section: Related Workmentioning

confidence: 99%

“…In Ref. , Johal et al analyzed the effectiveness of regulation by DR in combination with automatic generation control (AGC), which is a conventional regulation function in the supply side. In Ref.…”

Section: Related Workmentioning

confidence: 99%

“…This article targets the microgrid that includes a small thermal power plant and wind power generators. To address the stabilization issue, many related works have been focused on DR regulation service . However, most of the existing works assume that independent system operator (ISO), regional transmission organization (RTO), or an alternative central operator controls prespecified (precontracted) loads directly in accordance with the regulation signal, which implies that ISOs/RTOs have to record all the control signals from different devices, resulting in not only burdening the central server with increased complexity but also increasing network traffic.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and analysis of centralized demand response with two‐way communication in a microgrid

Matsumoto

Paul

Zhong

2019

IEEJ Transactions Elec Engng

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Real-time imbalance between demand and supply due to either consumers' unforeseen activities or wide penetration of renewable energy resource has become one of the critical factors to our daily power quality. To address the real-time imbalance challenge, demand response (DR) management is imperative in a smart grid, as it can effectively shape the total load from the demand side. We have presented a concept of a new DR architecture, which is characterized by controlling DR clients in each home with two-way communication for demand management, while in a conventional way DR clients are controlled by a central server with specific signals differing from one device to another. The proposed architecture offers the advantages of high adjustment capability, less communication overhead, improved scalability, and universality. In this article, we model the proposed DR architecture in detail from the viewpoint of DR clients and server, and analyze the feasibility of it by conducting extensive simulations. The results demonstrate that the proposed DR architecture is efficient and effective in stabilizing power quality in terms of the change rate of total load and power frequency.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling and analysis of centralized demand response with two‐way communication in a microgrid

Matsumoto

Paul

Zhong

2019

IEEJ Transactions Elec Engng

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“…Some industrial alliances also set up relevant working groups or revise existing specifications to adapt to the rapid development of building automation and home automation systems. Recently, standard progress shows great interest on the aspects of information exchange between the grid side and the user side [5,6,7]. In addition, a number of newly established regional organizations (such as German EEbus) focused on the standardization work in this area [8].…”

Section: Introductionmentioning

confidence: 99%

Future evolution of automated demand response system in smart grid for low-carbon economy

Yan

Chen

et al. 2015

J. Mod. Power Syst. Clean Energy

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Smart grid construction is an important carrier and an effective way to promote the development of lowcarbon economy. Demand response (DR) is commonly regarded as an important core technology in smart grid field, and it reflects the flexible and interactive features of the core business in smart electricity. It is the developing direction of automated demand response (ADR) technology, and its main features are the standardization of information exchange, together with the intelligence of decision-making and the automation of implementations. ADR technology can improve the efficiency of the whole power system and enhance the ability to accept new energy sources. This paper analyzes the role of demand response in improving efficiency and low-carbon energy saving power systems. The automated demand response system architecture is investigated, and the ADR roadmap of commercial/industrial and residential customer is proposed. The key technologies for ADR system are analyzed, including demand response strategy, information exchanging model, measurement and verification techniques, and multi-agent scheduling techniques. To ensure the interoperability between the grid side and the user side, the ADR business in smart grid user interface standards is concluded to support further demand side management project.

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“…In addition, load demand at different regions may differ due to different energy consumption behaviors of the consumers. Thus, it is important for the power generation companies to have a demand response to support the grid for eternally changing demand [10]. The reason behind the power generation companies never generating a constant amount of power is due to the additional cost it may incur when the power is not used by the consumer.…”

Section: Introductionmentioning

confidence: 99%

Protection Strategies against Cascading Failure for Power Systems of Ring Network

Kumar¹,

Shwe²,

Chong³

2016

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Power grid vulnerability is a key issue with large blackouts, causing power disruption for millions of people. The complexity of power grid, together with excessive number of components, makes it difficult to be modeled. Currently, researchers use complex networks to model and study the performance of power grids. In fact, power grids can be modeled into a complex network by making use of ring network topology, with substations and transmission lines denoted as nodes and edges, respectively. In this paper, three protection schemes are proposed and their effectiveness in protecting the power network under high and low-load attacks is studied. The proposed schemes, namely, Cascaded Load Cutoff (CLC), Cascaded Load Overflow (CLO) and Adaptive-Cascaded Load Overflow (A-CLO), improve the robustness of the power grids, i.e., decrease the value of critical tolerance. Simulation results show that CLC and CLO protection schemes are more effective in improving the robustness of networks than the A-CLO protection scheme. However, the CLC protection scheme is effective only at the expense that certain percentage of the network will have no power supply. Thus, results show that the CLO protection scheme dominates the other protection schemes, CLC and A-CLO, in terms of the robustness of the network, improved with the precise amount of load cutoff determined.

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Demand response as a strategy to support grid operation in different time scales

Cited by 19 publications

References 3 publications

Modeling and analysis of centralized demand response with two‐way communication in a microgrid

Modeling and analysis of centralized demand response with two‐way communication in a microgrid

Future evolution of automated demand response system in smart grid for low-carbon economy

Protection Strategies against Cascading Failure for Power Systems of Ring Network

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