An Integrated LHS–CD Approach for Power System Security Risk Assessment with Consideration of Source–Network and Load Uncertainties

Abstract

Large-scale wind power integrated into power grids brings serious uncertainties and risks for power system safe operation, and it is imperative to evaluate power system security risk pertinent to high-level of uncertainties. In this paper, a comprehensive source–network–load probabilistic model, representing the typical uncertainties penetrated in power generation transmission consumption portion, is firstly set for power system operation. Afterwards an integrated LHS–CD approach based on the Latin hypercube sampling (LHS) and Cholesky decomposition (CD) is tailored to effectively conduct the security risk assessment, in which the LHS is utilized to stratified sample the uncertainties of wind power and thermal power, transmission line outage, and load demands, while the CD part is adopted to address the correlations of uncertainties by rearranging the sampled matrix generated by LHS. Moreover, static voltage risk and transmission line overloaded risk index are properly defined for quantitatively evaluating power system operational security risk. Simulation results of a modified New England 39-bus system confirm that the proposed integrated LHS–CD approach is effective and efficient for power system security risk assessment with consideration of source–network–load demand uncertainties.

Risk Assessment for Energy Stations Based on Real-Time Equipment Failure Rates and Security Boundaries

“…Probabilistic power flow, which considers interval characteristics, is widely used to characterize the uncertainties associated with new energy sources and loads [8]. Using the probabilistic power flow method, it is possible to monitor power transformer overloads [9], line overloads [9], voltage violations [10], and other operational risks in the power system. Currently, there is limited research on the security risks of individual natural gas and heat networks.…”

Day-Ahead Dynamic Assessment of Consumption Service Reserve Based on Morphological Filter

“…However, the uncertainty of a new power system with a high proportion of renewable energy is significantly enhanced due to the innate nature of randomness, intermittency, and volatility of wind and photovoltaic power. Compared with the traditional power grid dominated by synchronous power generation, dispatch operators are faced with much more severe challenges of real-time power balance due to the complex and changeable characteristics of system operation [2][3][4].…”

Research on New Energy Power System Stability Situation Awareness Based on Index Screening and Dynamic Evaluation

“…Porretta et al [8] evaluated the adequacy and security of the high-capacity power system by considering generation and transmission faults, load changes, the economic dispatch of generation, security constraints, maintenance plans, and control actions implemented in emergency situations. Xia et al [9] defined static voltage risk and transmission line overload risk indices to evaluate the fact that large-scale wind power integration into the grid brings serious uncertainties and operational risks to the safe operation of the power system. Zhou et al [10] defined evaluation indexes for supply capacity reserve, supply capacity margin, and supply capacity balance and developed single-tier and inter-tier equipment evaluation models.…”