From demand response to integrated demand response: review and prospect of research and application

Huang, Wujing; Zhang, Ning; Chen, Kang; Li, Mingxuan; Huo, Molin

doi:10.1186/s41601-019-0126-4

Cited by 210 publications

(105 citation statements)

References 84 publications

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“…The IDR aims to change the energy pattern benefits by considering the interconnection relationship of multi-energy networks that participate in DR programmes. The IDR can contain electricity, heat, natural gas and any other form of the energy resources on the system [245]. The structure of multi-energy systems which operate in the same fashion of management is also called integrated energy coordination system [246].…”

Section: Integrated Demand Responsementioning

confidence: 99%

Overview of the Optimal Smart Energy Coordination for Microgrid Applications

Mbungu¹,

Naidoo²,

Bansal³

et al. 2019

IEEE Access

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This paper describes an overview of the optimal energy coordination/management approaches for microgrids. The article presents the smart grid environment in conjunction with their technologies into the applications of a microgrid when the energy coordination aims to create power flow stability between the generation and consumption of the electricity. This energy equilibrium is made regardless of a power grid complexity that can contain diverse load demands and distributed energy resources (DERs), including renewable energy system (RES), energy storage system (ESS), electric vehicle (EV), etc. A microgrid often contains an energy mix system that requires three control levels, namely primary, secondary and tertiary, to optimize the energy cost and behavior of the system operation and exploitation. Based on several DERs, a microgrid can operate in island mode or be connected to the main grid. The energy coordination for both features is to deal with the energy resources uncertainty, the climate impact, to reduce atmospheric pollution deriving from the conventional power grid, and the energy demand growth. Through the smart grid technology, the optimization approaches of this coordination have brought several improvements into the electrical system. Thus, an overview of an intelligent energy management system for microgrid applications is intensively detailed to structure the implementation strategies which aim to coordinate the energy flow of an electrical system optimally.

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Section: Integrated Demand Responsementioning

confidence: 99%

Overview of the Optimal Smart Energy Coordination for Microgrid Applications

Mbungu¹,

Naidoo²,

Bansal³

et al. 2019

IEEE Access

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“…The unconstrained model is an economical dispatch model without considering the power grid transmission capacity constraint. The unconstrained model can be obtained by ignoring the constraint of the transmission capacity in the SCED [13], [14], which could be expressed as:…”

Section: Clearing Simulation Based On Unconstrained Modelmentioning

confidence: 99%

A Novel Evaluation Method of Transmission Grid Performance in Power Spot Market

Zhi-yong

2019

IEEE Access

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Power spot market reform has been the focus of China's electric power industry restructuring initiative in recent years. The pace of introducing power spot markets in a number of provinces are now being accelerated. In power spot market, the transaction clearing results are closely coupled with power grid dispatching operations, and the power grid structure could deeply affect market members' earnings. Therefore, there is an urgent need for a method for evaluating transmission power grid performance in the context of power spot market. To this end, this paper presents a novel method for evaluating the operation efficiency of a transmission grid based on locational marginal prices (LMP). Firstly, the main characteristics of power spot market is introduced and the influence mechanism of transmission power grid on the market clearing outcomes is analyzed. The market operation efficiency of the transmission grid is calculated by comparing the market clearing results with or without considering the operational constraints of the transmission grid. Besides, an efficient computing method based on reinforcement learning is proposed to calculate the index. Finally, a case study based on the IEEE-33 bus system shows that this method can quantify the influence of transmission grid operational constraints on the transaction clearing results in spot market. The transmission grid performance index could be useful both in power market trading information disclosure and as a reference index for transmission expansion planning. INDEX TERMS Power spot market, transmission grid, locational marginal price, transmission network expansion planning, market performance evaluation.

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“…In addition, with the rapid development of smart grid technologies around the world, customers' demand response (DR) has received massive attentions and applications. DR programs (DRP) can be classified into two main categories: price-based DRP and incentive-based DRP [2,3]. Specifically, in the price-based DRP, such as time-of-use (TOU) pricing [4] and real time pricing(RTP) [5], customers adjust their demand in response to price changes over time.…”

Section: Introductionmentioning

confidence: 99%

Conditional-Robust-Profit-Based Optimization Model for Electricity Retailers with Shiftable Demand

Zhang

Wang

et al. 2020

Energies

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This paper investigates the problem of how to deploy customers’ shiftable load (SL) for electricity retailers’ risk management under uncertainty of the day-ahead (DA) wholesale market price. The robust profit (RP) and the conditional robust profit (CRP) are introduced for a risk-averse retailer’s risk-reward trade-off analysis in its decision-making of electricity procurement from various options. A CRP-based bi-level optimization model is proposed for the risk-averse retailer to determine its electricity procurement strategy taking into consideration customers’ shiftable load. In the upper problem, the retailer decides its electricity procurement from various options and the SL incentive prices to maximize its CRP under a given confidence level, and in the lower problem, the customers shift their load according to the SL incentive prices to minimize their comprehensive costs including the discomfort cost caused by rescheduling electricity consumption. Finally, a case study is used to verify the effectiveness of this model. It is shown that the retailer can achieve larger profit and less risk by utilizing customers’ SL and the retailer’s risk-aversion level has an important impact on its electricity procurement and SL incentive strategies.

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From demand response to integrated demand response: review and prospect of research and application

Cited by 210 publications

References 84 publications

Overview of the Optimal Smart Energy Coordination for Microgrid Applications

Overview of the Optimal Smart Energy Coordination for Microgrid Applications

A Novel Evaluation Method of Transmission Grid Performance in Power Spot Market

Conditional-Robust-Profit-Based Optimization Model for Electricity Retailers with Shiftable Demand

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