Flexibility Robust Optimal Operation Strategy for Cross-Regional Interconnected Power Under Load-Source Coordination

Abstract

Ultra High Voltage (UHV) transmission technology is the main regional power interconnection method in China. In addition, renewable energy sources (RES) in China are characterized by centralized distribution. In view of the cross-regional flexible scheduling of large-scale grid-connected RES, we build a day-ahead optimization model which considers the generation economy and robustness of transmission for each regional grid. The model considers the spatial clustering effect of RES and loads, uses robust optimization theory to construct uncertainty sets, and introduces uncertain spatial constraint parameters to compensate for the insufficiency of traditional robust optimization. Furthermore, a coevolutionary algorithm filter-based is proposed to solve above the mixed-integer non-convex nonlinear programming model. Taking the modified IEEE-39 nodes as an example, the results show that the system cost can be reduced by 21.9% by selecting the confidence probability of uncertain variables of both load and source under stable operation, while the prediction accuracy has a significant impact on the system cost when the confidence probability is smaller, and a better operation scheme can be obtained by increasing the space constraint parameters. Finally, the feasibility of the proposed model and algorithm are verified on the Hami power grid in Xinjiang, China.

Efficient Centralized Economic Dispatch in AC/DC Interconnected Power Systems Considering Bilateral Contracts Supported by FTRs and Transmission and VSC Losses

“…Moreover, for each VSC interconnecting nodes i and j, the last two equations should include the VSC active power injections, resulting in Eqs. ( 11) and (12).…”

“…Reference [11] proposed an approach to reflect the scheduling decisions of multiple system operators (ISOs), where each ISO manages limited information regarding the other ones. Additionally, [12] proposed a dayahead optimization model for the IPS, considering the spatial clustering effect of renewable energy resources and loads, and used robust optimization theory by formulating a hybrid evolutionary filter optimization to solve the mixed-integer non-convex nonlinear programming problem.…”

“…From the above references, it is important to point out that almost all of them use some variants of either MILP or evolutionary optimization to solve the ED problem in the IPS, and there are various proposals for making more suitable and efficient solution algorithms using decomposition methods. Furthermore, only [12] and [13] considered transmission AC/DC networks in their optimization models for ED in AC/DC-IPS, but they did not consider the different control modes of HVDC-VSC links and, as shown later in this paper, there are some references that assume the VSC control modes for solving the ED, but only for single AC/DC power systems, that is, not for IPS.…”

“…Reference [15] reviewed many proposals for solving ED and it does not mention something about the PTDFs utilization. Moreover, the authors of [4][6] [9] formulate the ED problem for AC power systems incorporating PTDFs, while ED for AC/DC power systems without the inclusion of PTDFs was presented in [12]- [13], [16]- [18]. By the other hand, proposals to use PTDFs in AC/DC power systems for solving contingency analysis [19], ED [20], and unit commitment [21].…”

Integrated Planning and Operation Dispatching of Source–Grid–Load–Storage in a New Power System: A Coupled Socio–Cyber–Physical Perspective

“…The aforementioned research primarily focuses on dispatching and configuring resources and equipment within individual regional systems, without considering the energy characteristics and demands of different regions, or fully recognizing the significant application value of interconnection and mutual assistance across regions. In practical operation, coordinating dispatch across regions is crucial for maintaining wide-area power balance [108], as depicted in Figure 10. Efficiently integrating various aspects of the power system for joint dispatching and the optimization of flexible resources can significantly improve the operational performance and economic benefits, as depicted in Figure 11.…”