Nash bargain and complementarity approach based efficient/economic dispatch in combined cooling heating and power system

Li, Rui; Xue, Yixun; Sheng, Tongtian; Qiao, Zheng; Guo, Qinglai; Sun, Hongbin

doi:10.1109/ei2.2017.8245428

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…So far, traditional energy storage has not been widely used due to its high cost, long investment period, and many other restricted factors [13]. In the background of the intelligent and digital development of power grids, regulating energy consumption behavior of the demand side by direct control [14], [15] or economic means [16][17][18] can also achieve the same effect as energy storage which transfers energy across time periods. In order to dig deeper into the dispatching value of electricity, heat/cooling, and gas loads on the demand side, plenty of research on integrated energy coordination control and dispatching optimization considering demand response has been conducted to realize the optimal utilization of various energy resources.…”

Section: Introductionmentioning

confidence: 99%

Optimal Dispatch of Regional Integrated Energy System Based on a Generalized Energy Storage Model

Shen¹,

Liang

Hu³

et al. 2021

IEEE Access

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In view of the difficulties in optimal dispatch caused by diverse energy and various types of equipment in the regional integrated energy system(RIES), this paper established a generalized energy storage model by extracting the flexibility characteristics of cooling, heat, and electrical load based on abstract equivalence. Instead of reducing the accuracy of regulation, this modeling method can greatly simplify the information interaction between the energy dispatching center and energy consumers, thus cutting down the time of collaborative analysis calculations. With the scheduling characteristics of multiple types of flexible loads in day-ahead and intra-day time scales considered comprehensively, a multi-time-scale optimization scheduling model of RIES is established, which takes into account the economy of system operation and the demand response. The simulation results show that the proposed optimization model can fully tap the loadside scheduling potential, along with effectively reducing the computational complexity. Through the coordination of resources with different characteristics, the pressure of balancing energy supply and demand can be relieved, and the operating cost of the system can be minimized. INDEX TERMS Regional integrated energy system (RIES), generalized energy storage model, multi-timescale, optimal dispatch

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Section: Introductionmentioning

confidence: 99%

Optimal Dispatch of Regional Integrated Energy System Based on a Generalized Energy Storage Model

Shen¹,

Liang

Hu³

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…To ensure the unified dispatch of multiple IECM energy sub-systems with different time-delays, it was necessary to consider temporal and spatial coupling, as well as the impact of the various energy sub-systems. Most of existing studies on optimal dispatch in IECMs used only steady-state models, which ignored time-delay in energy transmission and assumed real-time balance between various sources and loads [3][4][5][6]. This meant the derived optimal dispatch scheme did not suit the actual operation of IECMs.…”

Section: Introductionmentioning

confidence: 99%

Optimal Dispatch of Integrated Energy Campus Microgrids Considering the Time-Delay of Pipelines

et al. 2020

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Energy transmission in cooling/heating and gas pipelines has time-delay, which impacts the power balance between various sources and loads in the optimal dispatch of an integrated energy campus microgrid (IECM). This paper proposed an optimal dispatch model for IECMs, which considered the time-delay of energy transmission in cooling/heating and gas pipelines. In this model, the electricity and natural gas purchase cost of the IECM was made into an objective function. Partial differential equations (PDEs) were used to describe the time-delay in pipelines, and the discrete variables that described the switching number of absorption chillers and heat exchange units were included in the constraints. The proposed model was essentially a mixed-integer nonlinear programming (MINLP) model with PDE constraints. Orthogonal collocation on finite elements (OCFE) in the two-dimensional domain was used to transform PDEs into algebraic equations (AEs). Several linearization methods, including piecewise linearization and the big M method, were used to transform the initial MINLP model into a mixed-integer linear programming (MILP) model to reduce computational complexity. OCFE was compared with the first-order finite difference method, and simulation results were used to demonstrate the accuracy and efficiency of the proposed algorithm. The impact of the time-delay of pipelines on IECM was analyzed through comparison with a steady-state model. INDEX TERMS Integrated energy campus microgrids, optimal dispatch, time-delay, orthogonal collocation on finite elements,

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Day-ahead Optimization Economic Dispatch CCHP Multi-microgrid System Based on Bargaining Game Method

Wang

2021

2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)

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Nash bargain and complementarity approach based efficient/economic dispatch in combined cooling heating and power system

Cited by 3 publications

References 7 publications

Optimal Dispatch of Regional Integrated Energy System Based on a Generalized Energy Storage Model

Optimal Dispatch of Regional Integrated Energy System Based on a Generalized Energy Storage Model

Optimal Dispatch of Integrated Energy Campus Microgrids Considering the Time-Delay of Pipelines

Day-ahead Optimization Economic Dispatch CCHP Multi-microgrid System Based on Bargaining Game Method

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