A Multi-objective Scheduling Optimization Model for Hybrid Energy System Connected with Wind-Photovoltaic-Conventional Gas Turbines, CHP Considering Heating Storage Mechanism

Abstract

In order to meet the user's electricity demand and make full use of distributed energy, a hybrid energy system (HES) was proposed and designed, including wind turbines (WTs), photovoltaic (PV) power generation, conventional gas turbines (CGTs), incentive-based demand response (IBDR), combined heat and power (CHP) and regenerative electric (RE) boilers. Then, the collaborative operation problem of HES is discussed. First, the paper describes the HES' basic structure and presents the output model of power sources and heating sources. Next, the maximum operating income and minimum load fluctuation are taken as the objective function, and a multi-objective model of HES scheduling is proposed. Then an algorithm for solving the model is proposed that comprises two steps: processing the objective functions and constraints into linear equations and determining the optimal weight of the objective functions. The selected simulation system is a microgrid located on an eastern island of China to comparatively analyze the influence of RE-heating storage (RE-HS) and price-based demand response (PBDR) on HES operation in relation to four cases. By analyzing the results, the following three conclusions are drawn: (1) HES can comprehensively utilize a variety of distributed energy sources to meet load demand. In particular, RE technology can convert the abandoned energy of WT and PV into heat during the valley load time, to meet the load demand combined with CHP; (2) The proposed multi-objective scheduling model of HES operation not only considers the maximum operating income but also considers the minimum load fluctuation, thus achieving the optimal balancing operation; (3) RE-HS and PBDR have a synergistic optimization effect, and when RE-HS and PBDR are both applied, an HES can achieve optimal operation results. Overall, the proposed decision method is highly effective and applicable, and decision makers could utilize this method to design an optimal HES operation strategy according to their own actual conditions. Energies 2019, 12, 425 2 of 28 structure of power generation systems is increasing, especially wind and solar photovoltaic power generation. In particular, with the development of regenerative electric (RE) boiler technology, clean energy is no longer only used for power generation. It has also been gradually extended to heating sectors to form a thermal-electrical coupled operation mode. Meanwhile, combined heat and power (CHP) units are rapidly being more widely adopted due to the advantages of energy saving and environment friendliness [1]. However, due to the disadvantages of distributed energy sources, such as small capacity, intermittent availability, and dispersivity, they cannot be used in the electricity market alone, while the characteristics of CHP power generation closely combine with the supply of heating reduce the flexibility [2]. Therefore, the effective management of wind turbines (WTs), photovoltaic (PV) systems, and other distributed energy sources as well as CHP systems is urgently required to mee...

Multiobjective Optimized Dispatching for Integrated Energy System Based on Hierarchical Progressive Parallel NSGA-II Algorithm

“…In the divided process, this structure is much like a complete binary tree and it can be understood as the process of recursively splitting subsequences. In the conquer process, we need to merge two already ordered subsequences into an ordered sequence, such as the last merge in Figure 4, to merge the already ordered subsequences of [4,5,7,8] and [1][2][3]6] into the final sequence [1][2][3][4][5][6][7][8]. The last merge within the conquer process demonstration is shown in Figure 5.…”

“…e optimal dispatching goal of the combined heat and power system is not only economical, commonly, the minimum exchange power with the bus and the minimum adjustment of equipment operating power are also available. In [1], an island-type integrated energy system in eastern China was taken as the research object, and the optimization goals were set as economical optimization and minimum power exchange with the tie bus. e operation scheme of the integrated energy system was obtained by solving the optimal scheduling model.…”

A Dispatching Optimization Model for Park Power Supply Systems Considering Power-to-Gas and Peak Regulation Compensation

“…The specific output model is detailed in [27]. The PVU output model generally coincides with the β distribution, which is detailed in [28].…”

Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment

“…Cogeneration units centered on combined heat and power (CHP) technology are capable of generating both electricity and heat and are used in a wide range of applications. As CHP units are often in heat-determined power operation in winter, the heat load is at its peak during the nighttime when the electric load is in the trough, and the system peaking capacity is smaller than that of conventional units, making it more prone to the phenomenon of wind abandonment [2].…”