Soft open point planning in renewable-dominated distribution grids with building thermal storage

Zhang, Tiance; Wang, Jianxiao; Zhong, Haiwang; Li, Gengyin; Zhou, Ming; Zhao, Dejie

doi:10.17775/cseejpes.2020.03660

Cited by 22 publications

(7 citation statements)

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“…P2G technology is advocated as an appealing way to provide additional flexibility and facilitate energy sharing in the natural gas-electricity coupling system. Recently, P2G has received increasing attention and developed rapidly due to cost reduction, improved P2G efficiency, and increased penetration of renewable energy and hydrogen consumption [74]- [76].…”

Section: A Energy Conversion Technologymentioning

confidence: 99%

Sharing Economy in Local Energy Markets

Wang

Zhong

et al. 2023

Journal of Modern Power Systems and Clean Energy

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With an increase in the electrification of end-use sectors, various resources on the demand side provide great flexibility potential for system operation, which also leads to problems such as the strong randomness of power consumption behavior, the low utilization rate of flexible resources, and difficulties in cost recovery. With the core idea of "access over ownership", the concept of the sharing economy has gained substantial popularity in the local energy market in recent years. Thus, we provide an overview of the potential market design for the sharing economy in local energy markets (LEMs) and conduct a detailed review of research related to local energy sharing, enabling technologies, and potential practices. This paper can provide a useful reference and insights for the activation of demand-side flexibility potential. Hopefully, this paper can also provide novel insights into the development and further integration of the sharing economy in LEMs.

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Section: A Energy Conversion Technologymentioning

confidence: 99%

Sharing Economy in Local Energy Markets

Wang

Zhong

et al. 2023

Journal of Modern Power Systems and Clean Energy

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“…At the transmission side of IEHSs, the transfer delays in pipelines can slow down the failure propagation from heating sources to customers [20]. At the demand side of IEHSs, the thermal storage capabilities of buildings are also equivalent to buffers for the heat power supply shortage, which can lead to transient heat losses and maintain the satisfaction of thermal customers for a while [21]. Consequently, the thermal dynamics of both transmission and demand sides can significantly affect the energy services in contingency states of IEHSs, which need to be considered in the service-based reliability analysis.…”

Section: Introductionmentioning

confidence: 99%

Service-based Reliability Analysis of Integrated Electricity-heat Systems Considering Thermal Dynamics

Yin¹,

Bao²,

Ding³

et al. 2023

Journal of Modern Power Systems and Clean Energy

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The essential task of integrated electricity-heat systems (IEHSs) is to provide customers with reliable electric and heating services. From the perspective of customers, it is reasonable to analyze the reliabilities of IEHSs based on the ability to provide energy services with a reasonable assurance of continuity and quality, which are termed as service-based reliabilities. Due to the thermal inertia existing in IEHSs, the heating service performances can present slow dynamic characteristics, which has a great impact on the service satisfaction of customers. The neglect of such thermal dynamics will bring about inaccurate service-based reliability measurement, which can lead to the inefficient dispatch decisions of system operators. Therefore, it is necessary to provide a tool which can analyze the servicebased reliabilities of IEHSs considering the impacts of thermal dynamics. This paper firstly models the energy service performance of IEHSs in contingency states. Specifically, the nodal energy supplies are obtained from the optimal power and heat flow model under both variable hydraulic and thermal conditions, in which the transmission-side thermal dynamics are formulated. On this basis, the energy service performances for customers are further determined with the formulation of demandside thermal dynamics. Moreover, a service-based reliability analysis framework for the IEHSs is proposed utilizing the timesequential Monte Carlo simulation (TSMCS) technique with the embedded decomposition algorithm. Furthermore, the indices for quantifying service-based reliabilities are defined based on the traditional reliability indices, where dynamic service performances and service satisfactions of customers are both considered. Numerical simulations are carried out with a test system to validate the effectiveness of the proposed framework.

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“…This method can only obtain nearglobal optimal scheduling results. Some studies such as [25][26][27][28], considered the uncertainty of the load demand, price of power, and renewable generation in the scheduling or planning model. In [25] a robust optimization model is used to depict the uncertainty of the PV generations for SOP and DGs planning.…”

Section: Introductionmentioning

confidence: 99%

“…Some studies such as [25][26][27][28], considered the uncertainty of the load demand, price of power, and renewable generation in the scheduling or planning model. In [25] a robust optimization model is used to depict the uncertainty of the PV generations for SOP and DGs planning. In this model, the worst-case scenario that maximizes system costs is considered the production forecast.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Scenario-Based Scheduling Method for an SOP-included Active Distribution Network Considering Uncertainty of Load and Renewable Generations

Khalouie,

Alemi,

Beiraghi

2023

Scientia Iranica

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The high penetration of renewable Distributed Generators (DGs) in the Active Distribution Network (ADN) in addition to its advantages brings great challenges for the ADN, due to their intermittent and uncertain generations. Increasing network flexibility using Soft Open Points (SOPs) is an effective solution to overcome these challenges. However, an SOP-based ADN may contain various renewable or Controllable DGs (CDGs), and autonomous interconnected Microgrids (MGs). Accordingly, the uncertainty of load and renewable generation makes its scheduling more complex. In this paper, a novel optimal scenario-based framework is proposed to schedule an SOP-included ADN with multiinterconnected microgrids, based on the forecasted scenarios of demand and renewable DGs generation. In the proposed framework, all technical constraints, such as AC load flow equations, SOP's operational limitations, and DG's production range, are modeled in a Second-Order Cone (SOC) programming format. The energy transaction between the ADN and the other agents, i.e., MGs, and Upstream Network (UN) is also considered. This model can be optimally solved in an acceptable time. To show the effectiveness of the proposed method, it is implemented on the IEEE 33-bus distribution network. The simulation results confirm its high accuracy and speed.

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Soft open point planning in renewable-dominated distribution grids with building thermal storage

Cited by 22 publications

References 0 publications

Sharing Economy in Local Energy Markets

Sharing Economy in Local Energy Markets

Service-based Reliability Analysis of Integrated Electricity-heat Systems Considering Thermal Dynamics

An Optimal Scenario-Based Scheduling Method for an SOP-included Active Distribution Network Considering Uncertainty of Load and Renewable Generations

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