Reliability Based Min–Max Regret Stochastic Optimization Model for Capacity Market With Renewable Energy and Practice in China

Day-Ahead Robust Economic Dispatch Considering Renewable Energy and Concentrated Solar Power Plants

“…is the number of CSP plants. Moreover, heat input is determined by the power block and the thermodynamic power cycle efficiency, which gives Equation (2). Meanwhile, the HFT system cannot be connected to a TES system if the HFT does not provide a higher output temperature than the allowable minimum temperature, The energy flow of the CSP plant is clearly depicted in Figure 2.…”

“…where subscript s indicates the CSP plant index and the subscript t is the time index; P CSP s,t , P PV s,t , P TESd s,t , and P TESc s,t represent the output power of the s-th CSP plant, the solar input power of the s-th CSP plant, TES discharging and charging power at the s-th CSP plant at time t, respectively; T is the number of time periods; N CSP is the number of CSP plants. Moreover, heat input is determined by the power block and the thermodynamic power cycle efficiency, which gives Equation (2). Meanwhile, the HFT system cannot be connected to a TES system if the HFT does not provide a higher output temperature than the allowable minimum temperature, and thus heat is not transferred to storage [37][38][39].…”

“…Moreover, the pollution that comes from thermal power plants has been severe. In this context, renewable energy generation has become an important way to alleviate these problems, to some extent, worldwide [2]. Therefore, the technology of renewable energy generation, such as wind power, photovoltaics, and biomass energy, is becoming more and more mature.…”

Robust N – k CCUC model considering the fault outage probability of units and transmission lines

“…Ding et al [7] present a data-driven stochastic safety constrained UC model based on duality-free decomposition. Ding et al [8] present a reliability-based SO model of minimum-maximum regret. Owing to the large number of scenes, the SO method needs to reduce the number of scenes by scene reduction techniques.…”

Layered stochastic approach for residential demand response based on real‐time pricing and incentive mechanism

“…A duality‐free decomposition method based on data‐driven stochastic optimisation was proposed to solve the security‐constrained unit commitment problem [15]. Reliability‐based min‐max regret stochastic optimisation model was developed to evaluate future generation planning under various scenarios [16]. A distributed random access framework was developed to mitigate bus congestion and voltage drop [17].…”