A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

Sheng, Tongtian; Yin, Guanxiong; Guo, Qinglai; Sun, Hongbin; Zhang, Pan

doi:10.35833/mpce.2019.000230

Cited by 28 publications

(13 citation statements)

References 25 publications

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“…The balance of the electrical generation and utilization on power systems needs to be satisfied in real time. However, when the thermal energy of the thermal system is transmitted through the heat-supply network, there will be a certain time delay (Lund et al, 2014;Sheng et al, 2020). Thus, the transmission delay characteristics of the heating network make the heating pipe network become a kind of heat storage facility.…”

Section: The Virtual Energy Storage Characteristics Of the Heating Ne...mentioning

confidence: 99%

Multi-Scenario Physical Energy Storage Planning of Integrated Energy Systems Considering Dynamic Characteristics of Heating Network and Demand Response

et al. 2021

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The configuration of energy storage in the integrated energy system (IES) can effectively improve the consumption rate of renewable energy and the flexibility of system operation. Due to the high cost and long cycle of the physical energy storage construction, the configuration of energy storage is limited. The dynamic characteristics of the heating network and the demand-side response (DR) can realize the space-time transfer of energy. Although there is no actual energy storage equipment construction, it plays a similar role to physical energy storage and can be considered as virtual energy storage in IES planning. In this paper, a multi-scenario physical energy storage planning model of IES considering the dynamic characteristics of the heating network and DR is proposed. To make full use of the energy storage potential of the proposed model, the virtual energy storage features of the dynamic heating characteristics of the heating network and DR are analyzed at first. Next, aiming at the uncertainty of wind turbine (WT) and photovoltaic (PV) output, the scenario analysis method is used to describe the wind and photovoltaic power output with different probabilities. Finally, an electrothermal IES with an IEEE 33-node network and a 26-node heating network serves as an example to verify the effectiveness of the proposed model. The case study shows that the proposed model effectively reduces the physical energy storage configuration and achieves the economic trade-off between the investment cost and the operation cost.

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Section: The Virtual Energy Storage Characteristics Of the Heating Ne...mentioning

confidence: 99%

Multi-Scenario Physical Energy Storage Planning of Integrated Energy Systems Considering Dynamic Characteristics of Heating Network and Demand Response

et al. 2021

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“…Reference [14] offers a two-stage strategy to solve the time delay problem in the heat transmission process. Based on research [14], time scale characteristics are taken into consideration, two-time scale iterative algorithm is proposed in [15]. In addition to the WLS method, the Kalman filter is also widely used in IES dynamic state estimation.…”

Section: Introductionmentioning

confidence: 99%

A real‐time state estimation framework for integrated energy system considering measurement delay

et al. 2022

IET Generation Trans & Dist

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The increasingly close connections between multiple heterogeneous energy subsystems, the integrated energy system (IES) will play a critical role in ensuring future energy generations and distributions. As an essential function of the energy management system, state estimation provides data support for energy management of IES. Unfortunately, the existing IES state estimation method does not consider the measurement delay, which is inconsistent with the measurement delay characteristics caused by the multi‐timescale characteristics of IES. Driven by this motivation, this paper proposes a real‐time state estimation framework for the gas‐electricity coupled system. Considering the characteristics of the gas pipelines and coupling elements, the dynamic model of the natural gas system is established. A dynamic state estimation algorithm to enhance numerical stability is adopted to solve the problem that real‐time estimation based on the traditional Kalman filter suffers from the curse of dimensionality. Finally, a modified unscented Kalman filter (UKF) based estimation method is designed based on unified time processing and delay noise synthesizing. The IEEE 39‐bus electrical system and the 20‐node Belgian gas system are coupled to form the test system in this paper. The case study shows the advantages of the proposed method in efficiency and accuracy compared with the existing methods.

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“…Reference [8] further investigates the decentralized SE addressing communication packet loss among various energy systems. To adapt to different sampling resolutions, reference [9] develops a hybrid SE algorithm for an IEHS that tracks varying states with limited measurements.…”

Section: Introductionmentioning

confidence: 99%

Observability Analysis of Integrated Electricity and Heating Systems with Thermal Quasi-dynamics in Pipelines

Li¹,

Zheng²,

Zheng³

et al. 2022

Preprint

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<p>Observability analysis (OA) is vital to obtaining the available input measurements of state estimation (SE) in an integrated electricity and heating system (IEHS). Considering the thermal quasi-dynamics in pipelines, the measurement equations in heating systems are dependent on the estimated results, leading to an interdependency between OA and SE. The conventional OA methods require that the measurement equations be known exactly before SE is performed, and they are not applicable to IEHSs. To bridge this gap, a scenario-based OA scheme for IEHSs is devised that yields reliable analysis results for a predefined set of time-delay scenarios to cope with this interdependency. As its core procedure, the observable state identification and observability restoration are formulated in terms of integer linear programming. Numerical tests are carried out to demonstrate the validity and superiority of the proposed formulation.</p>

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A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics

Cited by 28 publications

References 25 publications

Multi-Scenario Physical Energy Storage Planning of Integrated Energy Systems Considering Dynamic Characteristics of Heating Network and Demand Response

Multi-Scenario Physical Energy Storage Planning of Integrated Energy Systems Considering Dynamic Characteristics of Heating Network and Demand Response

A real‐time state estimation framework for integrated energy system considering measurement delay

Observability Analysis of Integrated Electricity and Heating Systems with Thermal Quasi-dynamics in Pipelines

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