A5073431933- Integrated Energy Systems Optimization
- Smart Grid Energy Management
- Hybrid Renewable Energy Systems
- Electric Power System Optimization
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Renewable energy and sustainable power systems
- Microgrid Control and Optimization
- Thermal Analysis in Power Transmission
- Optimal Power Flow Distribution
Shandong University
2020-2021
A large number of renewable energy resources are integrated into the system (IES), which complicates IES dispatching, especially for accommodating anti-peak-regulation wind power. To cope with that, a day-ahead optimal dispatching method considering power to gas (P2G) units and dynamic pipeline networks is proposed in this article. First, by introducing P2G, an structure based on hub established implement bidirectional flow between natural systems. Second, characteristic pipelines modeled...
With the increasing penetration of renewable energy resources, problems fluctuation and economic decline are exacerbated in power system, especially on accommodating anti-peak-regulation wind power. To make full use flexible resources improve operational economy, a flexibility evaluation structure is proposed this article, which can effectively evaluate system considering impact multi-energy coupling. First, upward downward adjustable margins various quantified by analyzing their working...
The flexibility of integrated energy system (IES) is restricted by the thermoelectric ratio constraints cogeneration unit, especially for accommodating anti-peak-regulation wind power. In this paper, a day-ahead IES optimal dispatch considering power to gas (P2G) and transmission delay formulated support accommodation. Firstly, introduced uncouple restriction between systems. And dynamic characteristic natural-gas pipeline considered as an storage capability. Then, in order improve...
Demand response (DR) is an important way for demand side to participate in the flexible interaction of integrated energy system (IES). The complementary relationship among different forms can be used stimulate flexibility IES by co-optimizing at consumer end, which fully exploit user's ability. In order quantitatively describe complementarity between sources, concept coupling degree proposed this paper. Firstly, put forward mobilize on side. Then, paper realize quantitative modeling impact...
The reality of long-term independent planning and operation power system gas poses challenges to centralized economic dispatch. To preserve the privacy different energy systems give full play role interconnected in wind absorption, a decentralized dispatch strategy integrated electricity-gas (IEGES) considering $(\mathrm{P}2\mathrm{G})$ line pack is proposed. Firstly, P2G applied realize conversion gas, operating cost considered avoid over-conversion from other sources. After that,...
With the increasing penetration of renewable energy resources, problems waste and economic decline are exacerbated in power system, especially on accommodating anti-peak-regulation wind power. To make dispatch flexible resources more reasonable, a flexibility evaluation structure is established this paper, which can guide operation strategy effectively increase consumption. Firstly, by analyzing working principle operating characteristics various such as each unit, storage, coupling unit...
With the increase of stochastic renewable energy, integrated energy system (IES) is regarded as a potential way to improve utilization efficiency and operation flexibility IES. However, existing qualitative coupling analysis difficult accurately evaluate complementary benefits brought by Therefore, definition degree between systems firstly proposed quantitatively describe correlation feature each subsystems in Then, an optimal model IES established impact on operated economy reliability. In...
The uncertainty of photovoltaic and demand response brings challenges to the optimal scheduling integrated energy system (IES) in market circumstances.In this paper, model is firstly established.On basis, an strategy based on interval linear stochastic chance constrained programming proposed.The renewable generation prediction described by probability distribution function, load participating number.Thus, constraint constructed, solved Cplex solver.The proposed method compared with models...