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This paper presents a multi-objective optimization model based on DC power flow to maximize the active power steady-state security region whilst minimizing the total generation cost. The stochastic and fluctuant nature of wind power is incorporated into the model as well. Regarding the cost of wind power, the concepts involving opportunity costs of wind power shortage and surplus are introduced in...
In this paper, a multi-objective units start-up optimization strategy is proposed. In the proposed model, the economic factors during generator start-up are introduced into the conventional units start-up objective function. Furthermore, the system frequency characteristics as well as generator ramp constraints are considered during analysis. The greedy algorithm is employed to solve the proposed...
This letter presents a novel method to determine the weight coefficient existing in the model of network reconfiguration during power system restoration. The data envelopment analysis (DEA) method incorporating preference information is employed to implement the modeling and evaluation of the weight coefficient with respect to each transmission line. Some practical factors involving line charging...
As one of evolutionary algorithms, evolutionary programming (EP) has been successfully applied in the solutions of many complex optimization problems. However, little theoretical analysis is carried out to reveal the optimization mechanism of EP. In this paper, a novel stochastic differential equation model is proposed to explore and exploit the dynamic optimization process of EP in theory. The corresponding...
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