Multi-Time Scale Optimal Scheduling of Regional Integrated Energy Systems Considering Integrated Demand Response

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 dayahead 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. INDEX TERMS Regional integrated energy system, integrated demand response, multi-time scale, intraday optimal, the minimum cost of scheduling.

Optimal Scheduling Framework of Electricity-Gas-Heat Integrated Energy System Based on Asynchronous Advantage Actor-Critic Algorithm

“…In the IES optimal scheduling, a trajectory in one day is divided into 24 h. The probability of trajectory τ is calculated by (32). The expectation reward of the actor under the policy π can be calculated (33).…”

Coordinated post-contingency dispatch of integrated energy system with multiple participants based on distributed energy trading

“…Moreover, in this paper, we use 1 hour as the time step for the post-contingency dispatch models of different energy systems, which can effectively reduce the complexity for the coordinated dispatch problem of multiple energy systems and enhance computational tractability. If the difference in the time scale of electricity, gas and heating systems is considered in detail, we can modify the dispatch interval in the dispatch models of participants (71)-(73) and use the multi-time scale dispatch framework to deal with the difference, and one can refer to [39,40] for the detailed approaches.…”

Optimal coordinative operation strategy of the electric–thermal–gas integrated energy system considering CSP plant

“…The parameters of MTESDs, DGs and ECDs mainly refer to [7, 9 ], which are shown in Tables 1–3, respectively. Besides, the cost parameters corresponding to each cost in the objective function and the transmission line parameters of the superior power grid are also given in Table 4.…”

“…In [8 ], a day‐ahead optimal scheduling model of gas–electric IES considering PV is established based on second‐order cone programming, to obtain an effective and economical day‐ahead scheduling scheme for gas–electric IES. In [9 ], a day‐ahead and intraday optimisation scheduling model of regional IES considering PV is proposed to reduce the operating cost of the IES. However, the uncontrollability and the power fluctuation of PV will impact the operating stability and economy of IES.…”