Optimal design for component capacity of integrated energy system based on the active dispatch mode of multiple energy storages

Li, Haoran; Zhang, Chenghui; Sun, Bo

doi:10.1016/j.energy.2021.120522

Cited by 16 publications

(5 citation statements)

References 32 publications

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“…The solution quality of the convex non-isothermal electric-natural gas optimal power flow model can be effectively improved by increasing the tightness of the relaxation. The tightness of the relaxation in the constraints relies on the determination of the range of variables [8] . Therefore, this paper proposes a sequential boundary-tightening algorithm to gradually improve the tightness of the variable boundary.…”

Section: Multi-energy Complementary Model Of Cooling Heating and Powermentioning

confidence: 99%

“…The convex-concave method is utilized to reduce the SOC relaxation error of the joint electricity-gasthermal optimization [7] . In the water network, to deal with the bilinear terms of water head and flow, the precise SOC relaxation is used to decouple the electrothermal coupling relationship of the cogeneration unit by using the electric boiler, which can improve the operational flexibility of the cogeneration unit, thereby reducing the wind curtailment [8] .…”

Section: Introductionmentioning

confidence: 99%

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Integrated Energy System Design of Low-carbon City Based on Multi-energy Complementary of Cooling Heating and Power

Wang

Guan

2023

J. Phys.: Conf. Ser.

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The model of urban integrated energy dispatching system is a mathematical model used to describe the distribution of energy flow in the system, which has the characteristics of high accuracy, strong nonlinearity, and non-convexity. However, in the optimal power flow and other optimization problems, the traditional numerical solution algorithm cannot be directly applied. The strong nonlinearity and non-convexity of the system power flow model bring great difficulties to the solution of the optimization problem. Based on the input and output theory of cooling, heating, and power complementary energy, this paper studies the coupling energy relationship and power flow of various energy devices in an urban multi-source microgrid. It establishes the reliability index of the system energy supply, starting from the integrated energy system structure of low-carbon cities. A bi-level optimization model considering the constraints of energy supply reliability is constructed, which provides a basis for the subsequent establishment of the optimal allocation model.

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Section: Multi-energy Complementary Model Of Cooling Heating and Powermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated Energy System Design of Low-carbon City Based on Multi-energy Complementary of Cooling Heating and Power

Wang

Guan

2023

J. Phys.: Conf. Ser.

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“…For the multiple failures of system components, probabilistic reliability constraints are introduced in the reservation dispatching optimization model. By introducing chance constraints of multiple reliability indicators [20], component capacity [21], and dynamic operational reliability constraints [22] in day-ahead dispatching, reservation optimization is performed to improve system reliability. However, most studies have focused on solving uncertainties from system perspectives to improve energy supply reliability, ignoring the strong subjective initiative and the great potential value of users for reliability improvement.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Dispatching Model for Integrated Energy Microgrid Considering the Reliability Principal–Agent Contract

Chen

Zhu

et al. 2022

Sustainability

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As the increasing penetration of sustainable energy brings risks and opportunities for energy system reliability, at the same time, considering the multi-dimensional differentiation of users’ reliability demands can further explore the potential value of reliability resources in Integrated Energy Microgrid (IEM). To activate the reliability resources in a market-oriented perspective and flexibly optimize the operational reservation in dispatch, an optimal dispatching model in IEM considering reliability principal–agent contracts is proposed. We establish the reliability principal–agent mechanism and propose a cooperative gaming model of Integrated Energy Operator (IEO) and Integrated Energy User (IEU) based on the optimal dispatching model. At the upper level, the economic dispatching model of IEO is established to optimize the operation reservation, and the reliability principal–agent contract from users in the lower level would influence reliability improvement. Each IEU in the lower level maximizes its energy utilization and gives the corresponding reliability principal–agent incentives according to the reliability improvement degree and its actual demand. The bi-level model is solved by the KKT condition and strong duality theorem. A case study verifies the effectiveness of the proposed model in reducing the energy dispatch cost, improving the economic benefits of each participant, realizing the optimal allocation of reliability resources and optimizing the IEM energy structure, and the sensitivity analysis of dispatch cost with the user’s energy-using benefits is discussed.

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“…In order to improve the operation of the MG, various research papers have been published in recent years to examine the best ESS allocation and schedule the output power of DGs, ESSs, and the main grid. Numerous articles focused solely on the optimal ESS size [38][39][40]. For instance, active dispatch mode, a novel method suggested by Li et al [38], allows for optimizing ESS capacity while enhancing electrical power system reliability.…”

mentioning

confidence: 99%

“…Numerous articles focused solely on the optimal ESS size [38][39][40]. For instance, active dispatch mode, a novel method suggested by Li et al [38], allows for optimizing ESS capacity while enhancing electrical power system reliability. Additionally, the developed method considered the uncertainty characteristics and operated the ESS to shift peak demand.…”

mentioning

confidence: 99%

Economic Viability of NaS Batteries for Optimal Microgrid Operation and Hosting Capacity Enhancement under Uncertain Conditions

Alhaider,

Ali,

Mostafa

et al. 2023

Sustainability

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Recent developments have increased the availability and prevalence of renewable energy sources (RESs) in grid-connected microgrids (MGs). As a result, the operation of an MG with numerous RESs has received considerable attention during the past few years. However, the variability and unpredictability of RESs have a substantial adverse effect on the accuracy of MG energy management. In order to obtain accurate outcomes, the analysis of the MG operation must consider the uncertainty parameters of RESs, market pricing, and electrical loads. As a result, our study has focused on load demand variations, intermittent RESs, and market price volatility. In this regard, energy storage is the most crucial facility to strengthen the MG’s reliability, especially in light of the rising generation of RESs. This work provides a two-stage optimization method for creating grid-connected MG operations. The optimal size and location of the energy storage are first provided to support the hosting capacity (HC) and the self-consumption rate (SCR) of the RESs. Second, an optimal constrained operating strategy for the grid-connected MG is proposed to minimize the MG operating cost while taking into account the optimal size and location of the energy storage that was formerly determined. The charge–discharge balance is the primary criterion in determining the most effective operating plan, which also considers the RES and MG limitations on operation. The well-known Harris hawks optimizer (HHO) is used to solve the optimization problem. The results showed that the proper positioning of the battery energy storage enhances the MG’s performance, supports the RESs’ SCR (reached 100% throughout the day), and increases the HC of RESs (rising from 8.863 MW to 10.213 MW). Additionally, when a battery energy storage system is connected to the MG, the operating costs are significantly reduced, with a savings percentage rate of 23.8%.

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Optimal design for component capacity of integrated energy system based on the active dispatch mode of multiple energy storages

Cited by 16 publications

References 32 publications

Integrated Energy System Design of Low-carbon City Based on Multi-energy Complementary of Cooling Heating and Power

Integrated Energy System Design of Low-carbon City Based on Multi-energy Complementary of Cooling Heating and Power

An Optimal Dispatching Model for Integrated Energy Microgrid Considering the Reliability Principal–Agent Contract

Economic Viability of NaS Batteries for Optimal Microgrid Operation and Hosting Capacity Enhancement under Uncertain Conditions

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