Abstract
Reasonable scheduling is the basic guarantee for an integrated energy system (IES) to achieve coordinated and efficient operation of multi-energies. For an IES including electric and thermal loads, a demand response (DR) model based on a compensation mechanism is established in this article, and scheduling elasticity (SE) of different types of loads is analyzed to guide users to use energies reasonably and economically. On this basis, an optimization model is established for an IES in accordance with the energy consumption and system operation characteristics. In accordance with the dynamic demands of multi-energies, this model aims at meeting all energy demands with the lowest operation cost. It performs the coordinated optimization for the device output power and the power transmission between multi-energies. To solve the problems of the complex solving process and long computation time, a global optimization algorithm based on a polynomial response surface (PRS) metamodel is proposed in this article. The proposed algorithm adopts a response surface method to fit the optimization model and construct a PRS metamodel to estimate the function values instead of the optimization model, thereby avoiding repeatedly calling the original complex objective function and reducing the computation time. The test results verify the effectiveness of the proposed model and algorithm.
Highlights
Multi-energy mutual aid and energy cascade utilization between different energy systems are effective ways to enhance the comprehensive utilization rate of energies [1]–[4]
Further analysis shows that considering the scheduling elasticity (SE) regarding different types of loads in different energy systems is effective in improving the integrated energy system (IES) operation scheduling the compensation cost of Case 3 is 45.128 under the load compensation price set in this article, its operation cost is reduced by 2.75% and 1.48% compared to those of Cases 1 and 2, respectively
Aiming at the complex optimization scheduling problem of the IES with the combined heat and power (CHP) units, this article proposes to consider the SE regarding different types of loads for the scheduling, constructs an IES optimization model considering the load SE, and designs a global optimization algorithm based on a polynomial response surface (PRS) metamodel
Summary
Multi-energy mutual aid and energy cascade utilization between different energy systems are effective ways to enhance the comprehensive utilization rate of energies [1]–[4]. The proposed model quantifies the SE regarding different types of loads as a DR based on a compensation mechanism and can effectively reduce the operation cost of an IES. 3) Based on the time-of-use (TOU) price, the proposed algorithm and optimization model are applied to an IES system considering load SE. This approach effectively optimizes the multi-energy output power and realizes the optimal operation of an IES. The optimization variables in the SE model of load are the electricity consumption time Lshift of the shiftable load and the cuttable load power Pcut,τ Their power values at each time affect the output power of the power generation and energy storage devices in an IES, affecting the operation cost of the IES. Τ where Tcmutin and Tcmutax are the minimum and maximum continuous reduction time, respectively; and N max is the maximum reduction number within the scheduling period
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