Optimal energy flow and nodal energy pricing in carbon emission-embedded integrated energy systems

Jiang, Tao; Deng, Hongwei; Bai, Linquan; Zhang, Rufeng; Li, Xue; Chen, Houhe

doi:10.17775/cseejpes.2018.00030

Cited by 94 publications

(32 citation statements)

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“…Then, gas flow equation in (4) and pressure drop equation in (12), which are nonlinear and nonconvex could, respectively, be reexpressed as (16) and (17) that look like linear equations in form. Sign function sgn( i , j ) is not required in the new formulation and thus is conducive to avoiding nonconvexity difficulty.…”

Section: Figurementioning

confidence: 99%

“…The optimality of natural gas system was not considered. In previous studies, [8][9][10][11][12][13][14][15][16][17][18] detailed network topologies and physical characteristics of both electric power system and natural gas systems were modeled equally in a unified modeling framework of the EGIES. Strictly speaking, electric power system should be completely formulated by the accurate alternating current (AC) power flow model 19 while natural gas system should be formulated by the accurate hydraulic model that mainly includes gas flow equation, compressor horsepower equation, and mass flow conservation equation.…”

Section: Introductionmentioning

confidence: 99%

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A new modeling and solution method for optimal energy flow in electricity‐gas integrated energy system

2019

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Summary With the increasing interdependency of electricity and gas, it is necessary to simultaneously investigate electric power system and natural gas system from the perspective of an electricity‐gas integrated energy system (EGIES). As an extension and integration of both optimal power flow (OPF) and optimal gas flow (OGF), optimal energy flow (OEF) is regarded as the cornerstone of the EGIES and lays an essential foundation for further research on the EGIES's operation and analysis considering stochastic conditions and contingency states. The objective of this paper is to develop a generalized mathematical model and a universally applicable simulation tool for the OEF problem. First, natural gas system is modeled in a way similar to electric power system according to electricity‐gas analogy analysis, where gas admittance, gas nodal admittance matrix, and the nodal equation of gas flow conservation are derived. Then, a generalized accurate OEF model is formulated by simultaneously integrating the OPF model and the OGF model as well as their coupling constraints in a unified modeling framework. Furthermore, an available hybrid optimization approach consisting of whale optimization algorithm, MATPOWER, hydraulic calculation iterative program, and nonstationary penalty function method is put forward to solve the OEF problem. The accuracy, feasibility, and applicability of the proposed modeling and solution method is finally demonstrated by analyzing Belgian 20‐node gas system combined with IEEE 30‐bus test system.

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Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new modeling and solution method for optimal energy flow in electricity‐gas integrated energy system

2019

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“…(1) Most of the optimization objectives of IES are to minimize the total operating cost of the system or maximize social welfare [36][37][38][39]. (2) ere are also some studies whose optimization objectives are optimal carbon emissions or environmental bene ts, to achieve the proportion of green energy in the operation of IES system [40][41][42]. ere are still a few studies whose optimization objective is maximal absorption of renewable energy, to improve the proportion of energy supply from renewable energy in IES, so as to achieve better environmental bene ts [43].…”

Section: Optimization Objectives Of Iesmentioning

confidence: 99%

A Survey on Optimal Control and Operation of Integrated Energy Systems

Wei

Zhang

et al. 2019

Complexity

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At present, the transformation of energy structure is at a critical stage, and emerging renewable energy technologies and multienergy equipment have been widely used. How to improve the energy efficiency of integrated energy system (IES) and promote large-scale absorption of renewable energy is of great significance to the application forms of energy in the future. The development of new internet technology and sensor technology provides strong technical support for the optimal operation and coordinated control of IES. In recent years, the IES is experiencing unprecedented changes, which has attracted great attention from academia and industry. In this paper, the optimal control and operation behavior of IES are reviewed. Firstly, the research status of IES in recent years is summarized. Then, the modeling methods of different equipment in IES are analyzed in detail. The optimal operation of user, regional, and cross-regional IES are taken as typical research objects and the research status of optimization problems and operation modes, energy management planning, and power market allocation are summarized and analyzed. Finally, the key scientific issues and related frontier technologies in the IES are concluded, and the future research directions are prospected.

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“…Traditional environmental and economic planning is planned under the operational constraints of power systems, while a MEG contains multi-energy coupled gas units such as combined heat and power (CHP) and gas-fired boiler (GB) units, which need to be recalculated in the planning. In [16], the multi-period optimal energy flow of a carbon emission embedded neutralization energy system is studied. In [17], multiobjective optimization of a multi-energy network is proposed to jointly optimize the total operating cost and the total emissions generated by the network.…”

Section: Introductionmentioning

confidence: 99%

“…In order to maximize the use of the economic and environmental advantages of the integrated energy system, a large-scale integrated energy system (IES) optimal energy flow model that considers the carbon trading market is proposed in [18], and three decentralized algorithms are used to deal with limited information exchange. However, in [15][16][17][18], most of the environmental benefits are calculated by using a penalty function or environmental cost. The environmental cost is smaller than the planning cost, which is negligible in multi-objective planning, causing planning errors.…”

Section: Introductionmentioning

confidence: 99%

Capacity Planning of Micro Energy Grid Using Double-Level Game Model of Environment-Economic Considering Dynamic Energy Pricing Strategy

et al. 2020

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Multi-energy unified planning is difficult because of the complex conflicting relationship between the coupling and complementary interaction of multiple forms of energy in micro energy grids (MEGs). Conflicting relationships between the economy and the environment as well as the impact of uncertain energy prices must be considered during MEG planning. To address these problems, this paper proposes a two-level game with an environment-economic planning model that considers dynamic energy pricing strategies. This model consists of an upper environment-economic planning level based on a multistrategy evolution game considering players' bounded rationality and a lower dynamic energy pricing level, including the MEG operator-user leader-follower Stackelberg game. Simultaneously, based on the energy hub theory, a multi energy coupling matrix is established for a MEG and includes electricity, gas, heat, and cooling. The evolutionary stability strategy (ESS) of the planning results is analyzed using the replicator dynamic equation of the evolutionary game, and the existence of the Nash equilibrium is proven for the dynamic energy pricing of Stackelberg games. Finally, the effectiveness of the proposed environmenteconomic planning two-level game model considering dynamic energy pricing strategies is verified using simulations. Because dynamic energy pricing and the environment-economic planning are considered, the number of energy equipment required during peak hours is reasonably reduced, thereby reducing the total planning cost and improving the energy utilization efficiency. Simultaneously, greenhouse gas (CO2) and air pollutant (NOx) emissions are reduced to decrease environmental impact.

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Optimal energy flow and nodal energy pricing in carbon emission-embedded integrated energy systems

Cited by 94 publications

References 0 publications

A new modeling and solution method for optimal energy flow in electricity‐gas integrated energy system

A new modeling and solution method for optimal energy flow in electricity‐gas integrated energy system

A Survey on Optimal Control and Operation of Integrated Energy Systems

Capacity Planning of Micro Energy Grid Using Double-Level Game Model of Environment-Economic Considering Dynamic Energy Pricing Strategy

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