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

Fan, Wei; Tan, Zhongfu; Li, Fanqi; Zhang, Amin; Ju, Liu; Wang, Yuwei; De, Gejirifu

doi:10.1016/j.energy.2022.125783

Cited by 49 publications

(11 citation statements)

References 28 publications

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“…This paper focuses on the uncertainty characteristics of source-side output and user-side load in an integrated energy system. It addresses three key modules: the electric energy subsystem, thermal energy subsystem, and gas energy subsystem [ 19 ]. The electric energy subsystem incorporates wind power, photovoltaic renewable energy, and the external power grid, along with demand-side management resources for grid-connected operation.…”

Section: Methods Theory and Model Constructionmentioning

confidence: 99%

Double-layer optimization model for integrated energy system under multiple robustness

Yu,

Zhao

2023

PLoS ONE

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Output instability is one of the important constraints limiting the large-scale application of renewable energy. The development of comprehensive energy systems can effectively improve energy utilization efficiency, but there is still a problem of randomness in renewable energy output. The paper conducts research on the uncertainty of distributed energy output and load, constructs a comprehensive energy system optimization model that takes into account the robustness of bilevel programming, and solves the model using the firefly algorithm. The calculation results show that optimizing uncertainty can significantly reduce the actual operating costs of the system, with a maximum reduction of 14.43%. When the distributed wind power interval is within [0190], a dynamic balance between cost and consumption rate can be achieved.

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Section: Methods Theory and Model Constructionmentioning

confidence: 99%

Double-layer optimization model for integrated energy system under multiple robustness

Yu,

Zhao

2023

PLoS ONE

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“…Moreover, to ensure low carbon emissions during system operation, a multi-objective function is formulated for IESP, and the compromise planning theory is employed to obtain a feasible solution that balances economic and low-carbon objectives. In addition, the conditional value-at-risk [31] is utilized to address the inherent uncertainty in system operations and ensure system stability. We can summarise our main contributions as follows: 1) Firstly, the cooperative game between LAs is nested within the master-slave game of LAA and IESP to address the competitive and cooperative relationships that exist simultaneously within the model.…”

Section: B Literature Surveymentioning

confidence: 99%

A Multi-Objective Hybrid Game Pricing Strategy for Integrated Energy Operator-Load Aggregator Alliances Considering Integrated Demand Response

Wang

2024

IEEE Access

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In recent years, with significant changes in electricity demand, load aggregators have begun to integrate customer demand-side resources and participate in market transactions as independent entities. This study aims to establish an alliance of integrated energy service providers and load integrators, which optimizes the operation of the integrated energy system and maximizes in order tothe interests of all participants through the collaborative operation mechanism of new Power to Gas (P2G) and Interruptible Demand Response (IDR). To this end, we first constructed a master-slave game model that considers the bargaining game between load integrators with a large number of photovoltaic users in the model, to solve the problem of competition and cooperation. We establish a multi-objective model to address the low-carbon economic equilibrium problem faced by comprehensive energy service providers in the game process, and use the Conditional Value at Risk (CVaR) theory to measure the uncertainty of renewable energy. Secondly, to achieve cooperation between load aggregators, we use Nash bargaining theory to decompose the cooperative game model into two subproblems: maximizing alliance benefits and allocating cooperation benefits. Finally, we use the Alternative Direction Method of Multipliers (ADMM) algorithm combined with dichotomy and compromise programming theory to solve the model, to maximize the interests of all parties in the continuous interaction process. The research results indicate that after considering the electricity trading and carbon emission targets between load aggregators, the interests of all parties are protected, fully promoting the exchange of interests between photovoltaic producers and sellers, and alleviating the energy supply pressure of IESO. At the same time, a comparison with Multi-objective Evolutionary Algorithm Based on Decomposition (MOEA/D) shows that the fuzzy compromise programming theory used in this paper has a faster solving speed and a smoother solving process.

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“…As a cost-effective flexible resource, integrated demand response (IDR) has attracted more attention, and has been designed to guide energy users to adjust their energy consumptions to reduce the volatility of the load [9], promote the consumption of wind power [10], and enhance power system operational flexibility [11]. They are normally divided into incentive-based IDR and price-based IDR.…”

Section: Introductionmentioning

confidence: 99%

Flexibility Exploitation With Nonlinear Integrated Demand Response for Multi-Energy System Against Load Estimation Mistake

et al. 2023

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Integrated demand response contributes to flexibility improvement in multi-energy system. Yet, the challenge posed by the load estimation mistake needs to be addressed to explore the available flexibility. In this paper, we present a price-based nonlinear integrated demand response for multi-energy microgrid against estimation mistakes of both electricity and gas loads. Among them, we develop a period partition method to describe load characteristics and reach a reasonable time-of-use pricing. Besides, a credibility theory-based risk measurement is presented to evaluate the uncertain wind power. Finally, case studies demonstrate the feasibility and effectiveness of the proposed method in flattening load curve, reducing operation cost and promoting the accommodation of wind power.INDEX TERMS Credibility, flexibility, integrated demand response, load mistake, multi-energy system.

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

Cited by 49 publications

References 28 publications

Double-layer optimization model for integrated energy system under multiple robustness

Double-layer optimization model for integrated energy system under multiple robustness

A Multi-Objective Hybrid Game Pricing Strategy for Integrated Energy Operator-Load Aggregator Alliances Considering Integrated Demand Response

Flexibility Exploitation With Nonlinear Integrated Demand Response for Multi-Energy System Against Load Estimation Mistake

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