Multitime Scale Co-Optimized Dispatch for Integrated Electricity and Natural Gas System Considering Bidirectional Interactions and Renewable Uncertainties

Zhang, Zhenwei; Wang, Chengfu; Chen, Shuai; Zhao, Yufei; Dong, Xiaoming; Han, Xueshan

doi:10.1109/tia.2022.3169737

Cited by 22 publications

(2 citation statements)

References 29 publications

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“…Because the uncertainty of forecasted power source and load will decrease when finer time sampling is applied in the forecast, the combination of the uncertainty processing method and multi-time scale can significantly improve the uncertainty handling performance of the IENGS. For instance, article [19] presents a model predictive control (MPC)-based multi-time scale co-optimized dispatch for an integrated electricity and natural gas system considering the bidirectional interactions and renewable uncertainties. In [20], transmission characteristics and time scale characteristics of multiple heterogeneous energy flows are used to coordinate an integrated energy system.…”

Section: Introductionmentioning

confidence: 99%

Multi-Time Scale Economic Dispatch of Integrated Electricity and Natural Gas Systems with Flexibility Constraints Based on Chance-Constrained Programming

Yang

Cheng²,

Liu

et al. 2023

Processes

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The connection between various energy types in the integrated power and natural gas system has grown stronger in recent years, as has the penetration rate of clean energy. Wind power generation volatility offers a considerable barrier to power system operation. This research provides a multi-time scale economic dispatch model with flexibility limitations to address this issue. Through chance-constrained programming, the equipment flexibility is described by probability functions and predetermined confidence levels in this model, and the generating cost and wind power consumption are improved through day-ahead and intra-day optimal scheduling. Finally, the effectiveness of the proposed model is verified by two case studies of integrated energy systems, where the results show that about 68.0–72.1% wind power curtailment can be effectively reduced while satisfying all load and system safety requirements.

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Section: Introductionmentioning

confidence: 99%

Multi-Time Scale Economic Dispatch of Integrated Electricity and Natural Gas Systems with Flexibility Constraints Based on Chance-Constrained Programming

Yang

Cheng²,

Liu

et al. 2023

Processes

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“…Hence real-time dispatch strategies become indispensable. Second, during the IEGS operation dispatch process, some decision-makers' attitudes may change from risk neutrality to risk aversion [4]. Therefore, it is necessary to study the risk measure and control technology to assist their real-time decision-making.…”

mentioning

confidence: 99%

Real-Time Risk-Averse Dispatch of an Integrated Electricity and Natural Gas System via Conditional Value-at-Risk-Based Lookup-Table Approximate Dynamic Programming

Zhu,

Li,

Guo

et al. 2024

Prot. Control Mod. Power Syst.

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The real-time risk-averse dispatch problem of an integrated electricity and natural gas system (IEGS) is studied in this paper. It is formulated as a real-time conditional value-at-risk (CVaR)-based risk-averse dispatch model in the Markov decision process framework. Because of its stochasticity, nonconvexity and nonlinearity, the model is difficult to analyze by traditional algorithms in an acceptable time. To address this non-deterministic polynomial-hard problem, a CVaR-based lookup-table approximate dynamic programming (CVaR-ADP) algorithm is proposed, and the risk-averse dispatch problem is decoupled into a series of tractable subproblems. The line pack is used as the state variable to describe the impact of one period's decision on the future. This facilitates the reduction of load shedding and wind power curtailment. Through the proposed method, real-time decisions can be made according to the current information, while the value functions can be used to overview the whole optimization horizon to balance the current cost and future risk loss. Numerical simulations indicate that the proposed method can effectively measure and control the risk costs in extreme scenarios. Moreover, the decisions can be made within 10 s, which meets the requirement of the real-time dispatch of an IEGS. Index Terms-Integrated electricity and natural gas system, approximate dynamic programming, real-time dispatch, risk-averse, conditional value-at-risk. Ⅰ. INTRODUCTIONhe installed capacity of natural gas-fired units in electricity networks has grown rapidly in recent years because of their high efficiency and flexibility [1], [2]. In addition, with the emergence of power-to-gas _____________________________________

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A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing

et al. 2023

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Multitime Scale Co-Optimized Dispatch for Integrated Electricity and Natural Gas System Considering Bidirectional Interactions and Renewable Uncertainties

Cited by 22 publications

References 29 publications

Multi-Time Scale Economic Dispatch of Integrated Electricity and Natural Gas Systems with Flexibility Constraints Based on Chance-Constrained Programming

Multi-Time Scale Economic Dispatch of Integrated Electricity and Natural Gas Systems with Flexibility Constraints Based on Chance-Constrained Programming

Real-Time Risk-Averse Dispatch of an Integrated Electricity and Natural Gas System via Conditional Value-at-Risk-Based Lookup-Table Approximate Dynamic Programming

A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing

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