A Judgment Method for Time-delay Dependent Stability of New Energy Power System
A technology of power system and determination method, applied in the field of power system, can solve problems such as the influence of power system stability, and achieve the effects of improving safety and stability, increasing solvability, and reducing conservatism
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Embodiment 1
[0063] Such as Figure 1-3 As shown, the present invention first establishes the power system model as a discrete Markov jump linear system model, and constructs a new Lyapunov functional, and then uses the Wirtinger inequality scaling technique to reduce the conservatism of the result. Firstly, the asymptotic stability of the system is analyzed, and then the H of the system ∞ The stability is analyzed, and finally, for the problem that it is difficult to find the global optimal solution in the above inequalities, it is transformed into an eigenvalue solving problem, and at the same time, the maximum time delay that the system can bear is solved.
[0064] The method for judging the stability of the new energy power system under the Wirtinger inequality includes the following steps:
[0065] (1) Establish a time-delay power system model
[0066] x(k+1)=Ax(k)+BK(d s )Cx(k-d s )+Fω(k)
[0067] where: x i (t) = [Δf i ΔP mi ΔP vi ∫ACE i ΔP tie-i ] T , x(t)=[x 1 (t) ...
Embodiment 2
[0092] The method for determining the stability of the new energy power system under the Wirtinger inequality, the specific process is as follows:
[0093] (1) Establishment of time-delay-dependent new energy power system model based on Markov model
[0094] In general, a power system can be described by a set of differential algebraic equations, which are linearized around the operating point of the system, and the final system can be expressed as:
[0095]
[0096] in:
[0097] x i (t) = [Δf i ΔP mi ΔP vi ∫ACE i ΔP tie-i ] T , x(t)=[x 1 (t) x 2 (t) x 3 (t) … x n (t)] T ,
[0098] u i (t)=-K P ACE i -K I ∫ACE i , u(t)=[u 1 (t) u 2 (t) u 3 (t) ... u n (t)] T ,
[0099] the y i (t)=[ACE i ∫ACE i ] T , y(t)=[y 1 (t) y 2 (t) y 3 (t) ... y n (t)] T ,
[0100] ω i (t) = ΔP di +ΔP windi +ΔP tie-i , ω(t)=[ω 1 (t) ω 2 (t) ω 3 (t) ... ω n (t)] T ,
[0101]
[0102] B d =diag[B 1 B 2 …B n ],
[0103] C d =[C 1 C 2 …C n ]...
Embodiment example
[0216] The multi-area power system load frequency control structure is as follows: figure 1 As shown, the transition probability matrix of the Markov model is set as: The settings of various coefficient items in the dual-area power system model are shown in the table below.
[0217]
[0218] When the power system controller gain is set to: According to the inference, the upper bound of the maximum time delay that the power system can bear at this time can be obtained as: d M =2.2961.
[0219] Figure 4 as well as Figure 5 The frequency error response and ACE signal response of the dual-region power system under random load disturbance are given respectively. It can be seen from the simulation results that under random disturbance conditions, the frequency error response of the system and the response of the ACE signal can both tend to be stable before the next disturbance occurs. To sum up, at this time, the power system (8) is H under the condition of stable perfo...
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