A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response

Article Energy & Fuels

Wasserstein and multivariate linear affine based distributionally robust optimization for CCHP-P2G scheduling considering multiple uncertainties

Yuwei Wang et al.

Summary: A new optimization model is proposed for integrating power-to-gas, which can improve both the economic and environmental benefits of the system while maintaining low conservatism and computational complexity.

APPLIED ENERGY (2022)

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Article Thermodynamics

Strategic bidding of an energy storage agent in a joint energy and reserve market under stochastic generation

Christos N. Dimitriadis et al.

Summary: This work proposes a bi-level optimization model for a price-maker energy storage agent to determine optimal offering/bidding strategies in pool-based markets. The model maximizes the agent's expected profits while considering wind power generation uncertainty and transmission constraints.

ENERGY (2022)

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Article Thermodynamics

Trading strategy and benefit optimization of load aggregators in integrated energy systems considering integrated demand response: A hierarchical Stackelberg game

Songrui Li et al.

Summary: With the rise of integrated energy systems, the role of load aggregator in connecting the demand and supply sides has become increasingly important. A bilateral integrated demand response model is established considering consumer psychology, using a hierarchical Stackelberg game. The proposed trading strategy increases the benefits of the integrated energy production base, load aggregator, and users, while reducing penalty costs. The hierarchical game model ensures sustainability and provides innovative ideas for the development of integrated energy systems.

ENERGY (2022)

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Article Thermodynamics

Day-ahead energy pricing and management method for regional integrated energy systems considering multi-energy demand responses

Xu Zhu et al.

Summary: This paper proposes an integrated energy pricing and management strategy and establishes multi-energy demand response models. Through simulation analysis, the feasibility of the proposed model is verified, and it is found that the application of multi-energy demand responses can improve the economic benefits of the energy system and reduce carbon emissions.

ENERGY (2022)

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Article Thermodynamics

Multi-objective optimization of multi-energy complementary integrated energy systems considering load prediction and renewable energy production uncertainties

Zhiqiang Liu et al.

Summary: This study explores an optimization model for properly sizing a multi-energy complementary integrated energy system (MCIES) considering uncertainties and achieving the best economic, environmental, and thermal comfort benefits. The non-dominated sorting genetic algorithm-II (NSGA-II) combined with TOPSIS and Shannon entropy method is used for optimization. Case studies demonstrate the effectiveness of the proposed approach.

ENERGY (2022)

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Article Thermodynamics

Promoting wind and photovoltaics renewable energy integration through demand response: Dynamic pricing mechanism design and economic analysis for smart residential communities

Qiran Cai et al.

Summary: By proposing a dynamic pricing model that combines residential electricity demand and wind and PV output fluctuation characteristics, this study effectively incentivizes residential consumers to participate in demand response, improves the matching between wind and PV output and residential electricity demand, and achieves a relatively flat net grid demand profile through bi-level optimization.

ENERGY (2022)

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Article Thermodynamics

A two-stage multi-objective optimal scheduling in the integrated energy system with We-Energy modeling

Ning Zhang et al.

Summary: The paper proposes a two-stage multi-objective optimal scheduling strategy (TMOS) based on the innovative mathematical model of We-Energy (WE) in the integrated energy system (IES). TMOS considers the comprehensive impact of multiple significant operation indicators, leading to improved economic benefit and customer satisfaction. By adjusting the components of the WE to reduce the impact of RE prediction error, real-time power balancing can be achieved to ensure secure operation.

ENERGY (2021)

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Article Engineering, Electrical & Electronic

Regional integrated energy system dispatch strategy considering advanced adiabatic compressed air energy storage device

Shixu Zhang et al.

Summary: This study presents a schedule strategy for RIES considering multiple applications of AA-CAES to optimize the economic benefits of EHO. The results show that the multiple application capacity of AA-CAES can significantly increase the overall profit of EHO, enhance the operational flexibility of RIES, and optimize market trading strategies.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

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Article Engineering, Electrical & Electronic

Stochastic optimal dispatching strategy of electricity-hydrogen-gas-heat integrated energy system based on improved spectral clustering method

Zixin Wang et al.

Summary: The coupling and interaction among multi-energy resources in an integrated energy system improves renewable energy utilization and reduces carbon emissions. Hydrogen is seen as a highly potential energy carrier due to its excellent characteristics, making it a hot topic in the field. However, most research on power to gas technology do not fully utilize the advantages of hydrogen, resulting in low efficiency.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

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Article Thermodynamics

Robust capacity optimization methods for integrated energy systems considering demand response and thermal comfort

Xiaohui Yang et al.

Summary: This paper proposes a bi-level robust optimization model for capacity planning and operation problem of Integrated Energy System, comparing economic and environmental benefits from different simulation modes, and analyzing the sensitivity of forecast uncertainties and low carbon grid constraints on optimization.

ENERGY (2021)

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Article Thermodynamics

Optimal scheduling of integrated demand response-enabled integrated energy systems with uncertain renewable generations: A Stackelberg game approach

Yang Li et al.

Summary: A novel Stackelberg game-based optimization framework is proposed for optimal scheduling of integrated demand response-enabled integrated energy systems with uncertain renewable generations. The approach introduces measures such as probabilistic spinning reserve, district heating network model, and PMV index to achieve balance between the leader (IEO) and followers (users) in coordinating renewable generations and IDR.

ENERGY CONVERSION AND MANAGEMENT (2021)

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Article Engineering, Electrical & Electronic

Cooperative energy management of multi-energy hub systems considering demand response programs and ice storage

Ramin Bahmani et al.

Summary: This paper proposes a cooperative framework for energy hub systems, which allows hubs to collaborate and share resources to reduce costs. By using a fair revenue mechanism, the model shows a significant improvement in efficiency for each hub, demonstrating the effectiveness of the proposed method.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

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Article Engineering, Electrical & Electronic

Stochastic robust optimal operation of community integrated energy system based on integrated demand response

Peng Li et al.

Summary: This paper focuses on the optimal operation of community integrated energy system (CIES) using integrated demand response. Different energy loads are analyzed to introduce strategies for complementary substitution and time shifting, while a stochastic robust optimal operation model is established. The proposed method effectively reduces operation costs, promotes energy supply-demand balance, and achieves economical, flexible, and efficient operation of CIES.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

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Article Green & Sustainable Science & Technology

Integrating renewable sources into energy system for smart city as a sagacious strategy towards clean and sustainable process

Anh Tuan Hoang et al.

Summary: Renewable energy plays a vital role in smart cities by reducing pollution and improving living environment quality. Designing energy systems based on clean and renewable standards is considered a sustainable solution for smart cities.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Energy & Fuels