Abstract
The regional integrated energy system (RIES) is an important place for energy development such as multi-energy complementarities and energy Internet, RIES has important application value for realizing sustainable energy development and building a lower-carbon society, the dissipation of renewable energy and the stabilization of load fluctuations have brought challenges to its optimal operation. Integrated demand response (IDR) is detailedly described by price-based and alternative response. Establish a day-ahead and intraday optimization scheduling model considering the demand side response. According to the difference of scheduling time of each energy subsystem of electric, cooling/heating and natural gas, it is divided into three sub-layers of slow control, intermediate control and fast control to perform rolling optimization scheduling. The example analysis shows that the multi-time scale optimization scheduling model can meet the supply and demand balance of the system, and can also restrain the fluctuation of renewable energy and load intraday, improve the stability of the system, and further reduce the operating cost of the system.
Highlights
The fossil energy crisis and environmental pollution are serious problems
Where PTWT is the electric power generated by wind turbine (WT) at the time T, PTPV is the electric power generated by PV at the time T, PTgrid is the purchased electrical power at the time T, PTGT is the electric power generated by gas turbine (GT) at the time T, PTES is the output value of electricity storage (ES); PTDmd is the total load power on the demand side, PTo is the electric power consumed by coupling equipment.The natural gas energy supply and demand balance equation is as follows: GTPtG + GTsource + GTGS = GTDmd + GTo where GTPtG is the natural gas generated by PtG at the time
The total daily cost of Model 2 is 2.04% lower than the total daily cost of Model 1, and the abandonment and light are reduced by 0.8%; In the day-ahead and intraday model of Model 3, the intraday model does not take into account the differences in electricity, cooling/heating, and natural gas scheduling time, and Model 4 is based on Model 3, in which the intraday model takes into account the differences of electricity, cooling/ heating and natural gas scheduling time, which can better suppress the fluctuations of both sides of supply and demand, and ensure the stable operation of the system and the external power grid
Summary
The fossil energy crisis and environmental pollution are serious problems. Vigorously developing renewable energy and improving energy efficiency have become inevitable choices for sustainable energy development [1]–[5]. Reference [23] proposing a multi-time scale optimal scheduling model of CCHP microgrid, which optimizes the intraday cooling/ heating and electric energy respectively, making the system more stable and economical. The main contributions of this paper are as follows: 1) Establish a multi-time scale model of RIES considering IDR, including electric, cooling/heating and natural gas energy system, and realize multi-energy system scheduling and optimization through energy coupling equipment and energy storage equipment. 2) Proposing an IDR model includes price-based and alternative response The former represents the transfer effect of the same kind of energy demand at different time nodes based on price guidance, while the latter.
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