RETRACTED: Active robust optimization for wind integrated power system economic dispatch considering hourly demand response

Abstract

a b s t r a c tDue to dramatically increased uncertainties caused by wind power (WP) integration and price responsive demand, economic dispatch (ED) in a day-ahead market faces new challenges. With the involvement of price responsive demand response (DR), independent system operator (ISO) has to adapt to the changes of both nodal prices and loads under different WP conditions. Moreover, here the changeable nodal prices are determined by both power generation and load not using a simple deterministic mathematical function. The robustness of dispatch strategies can be enhanced through proper demand side management. Motivated by these, we propose a novel active robust optimization dispatch (AROD) model in this paper. The proposed model amalgamates robust optimization (RO) with dynamic optimization (DO) to reveal the effects of price responsive DR, while considering all possible WP conditions. We present extensive numerical case studies on the modified IEEE 30-bus system and IEEE 118-bus system. Computational results demonstrate the effectiveness of the proposed AROD model for the secure and economic operation of the power system under various uncertainties in a day-ahead market.

Modeling of retailer's behavior for participation in the capacity market

“…The prices and penalties proposed to the consumers by the retailer for participation in DR and EE programs are provided in block 6. The capacity of consumers is calculated in block 7 according to the proposals and considering the uncertainties in the consumers' participation (Equation 26). The capacity product of a retailer, that is a combination of consumers' capacity product and its own generations for participation in the capacity market, is provided in block 8 (Equation 27).…”

“…The uncertainties can be managed by robust optimization. Sustainable design of distributed energy supply systems, wind‐integrated power system economic dispatch, commitment and dispatch of heat and power units, and power system static state estimation are studies in which the robust optimization method has been used. Another method for uncertainty management is scenario‐based stochastic programming.…”

Economic Dispatch of Power System with Wind Power and Energy Storage Based on Discrete Particle Swarm Optimization

“…System is controlled to control wind turbines and generators to ensure the quality of power supply [7]. When using wind energy to generate electricity, since wind energy is random and discontinuous, it is difficult to predict wind power accurately [8,9]. When combining wind power generation equipment, harmonics, fluctuation and flicker, three-phase unbalance, voltage sag and other phenomena will occur, which will lead to the unstable operation of the power grid, thus bringing a series of potential safety hazards, which is even more difficult to ensure that the power quality is up to standard.…”

Integration of power-to-hydrogen in day-ahead security-constrained unit commitment with high wind penetration

“…Concerns over climate change [1,2] and sustainability have led to a global push towards the proliferation of renewable energy in electricity generation [3]. Accordingly, the integration of wind power generation has grown substantially in recent years.…”